WorldWideScience

Sample records for factor analysis yielded

  1. Determination of Some Factors Affecting Honey Yield by Path Analysis

    Directory of Open Access Journals (Sweden)

    Melis Çelik Güney

    2016-10-01

    Full Text Available Path analysis is determinate that relationships among variables by using correlation coefficient, partial correlation coefficient and path coefficient. In this study, direct and indirect effects of honey yield between brood rearing area, flight activity, pollen collection, nectar collection and cleaning power were examined with these coefficients. Data which taken from C.U. Faculty of Agriculture, Department of Animal Science, Beekeeping Business were used. In the end of this research, the effect of brood rearing area on honey yield was found significant. In the colonies, brood rearing area has the highest direct effect of honey yield. Nectar collection has the highest indirect effect.

  2. Analysis of the Contribution of Total Factor Productivity to Agricultural Yield in Anhui Province

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    By analyzing data concerning agricultural development from 1981 to 2010 in Anhui Province,the total factor productivity and growth rate of agriculture from 1981 to 2010 are estimated empirically.By dividing years from 1981 to 2010 into several subintervals,this paper evaluates and analyzes initial stage of reform and opening up,soft landing stage,the stage of financial crisis,the stage of subprime mortgage crisis and the impact of all factors on total factor growth rate of agriculture.Then it analyzes the contribution of growth of total factor productivity to total yield of agricultural economy.The research finds that the growth of total factor productivity in Anhui Province is significant to agricultural development.

  3. Temporal Variations of Water Productivity in Irrigated Corn: An Analysis of Factors Influencing Yield and Water Use across Central Nebraska.

    Science.gov (United States)

    Carr, Tony; Yang, Haishun; Ray, Chittaranjan

    2016-01-01

    Water Productivity (WP) of a crop defines the relationship between the economic or physical yield of the crop and its water use. With this concept it is possible to identify disproportionate water use or water-limited yield gaps and thereby support improvements in agricultural water management. However, too often important qualitative and quantitative environmental factors are not part of a WP analysis and therefore neglect the aspect of maintaining a sustainable agricultural system. In this study, we examine both the physical and economic WP in perspective with temporally changing environmental conditions. The physical WP analysis was performed by comparing simulated maximum attainable corn yields per unit of water using the crop model Hybrid-Maize with observed data from 2005 through 2013 from 108 farm plots in the Central Platte and the Tri Basin Natural Resource Districts of Nebraska. In order to expand the WP analysis on external factors influencing yields, a second model, Maize-N, was used to estimate optimal nitrogen (N)-fertilizer rate for specific fields in the study area. Finally, a vadose zone flow and transport model, HYDRUS-1D for simulating vertical nutrient transport in the soil, was used to estimate locations of nitrogen pulses in the soil profile. The comparison of simulated and observed data revealed that WP was not on an optimal level, mainly due to large amounts of irrigation used in the study area. The further analysis illustrated year-to-year variations of WP during the nine consecutive years, as well as the need to improve fertilizer management to favor WP and environmental quality. In addition, we addressed the negative influence of groundwater depletion on the economic WP through increasing pumping costs. In summary, this study demonstrated that involving temporal variations of WP as well as associated environmental and economic issues can represent a bigger picture of WP that can help to create incentives to sustainably improve

  4. Yield stress fluids slowly yield to analysis

    NARCIS (Netherlands)

    Bonn, D.; Denn, M.M.

    2009-01-01

    We are surrounded in everyday life by yield stress fluids: materials that behave as solids under small stresses but flow like liquids beyond a critical stress. For example, paint must flow under the brush, but remain fixed in a vertical film despite the force of gravity. Food products (such as mayon

  5. A meta-analysis of responses of canopy photosynthetic conversion efficiency to environmental factors reveal major causes of yield gap

    Science.gov (United States)

    Improving plant energy conversion efficiency is crucial for increasing food and bioenergy crop production and yields. This study statistically quantifies the effects of climate/weather factors and management techniques on energy conversion efficiency from 140 published studies and provides a quantit...

  6. Evaluation of seed yield-related characters in sesame (Sesamum indicum L.) using factor and path analysis.

    Science.gov (United States)

    Biabani, A R; Pakniyat, H

    2008-04-15

    Fifteen sesame genotypes were grown in a randomized complete block design with 3 replications during 2004, in experimental station of Agricultural College, Shiraz University in Badjgah, Iran. Many plant traits were scored in the field. Path coefficient analysis and factor analysis divided the 15 measured variables into 5 factors. The 5 factors explained 81% of the total genetic variation in the dependence structure. Factor 1 was strongly associated with number of capsules in the main stem, length of floral axis, number of capsules per plant and plant height. Other factors (2, 3, 4 and 5) explained the rest of genetic variations and may not be important in sesame breeding programs.

  7. Functional dynamic factor models with application to yield curve forecasting

    KAUST Repository

    Hays, Spencer

    2012-09-01

    Accurate forecasting of zero coupon bond yields for a continuum of maturities is paramount to bond portfolio management and derivative security pricing. Yet a universal model for yield curve forecasting has been elusive, and prior attempts often resulted in a trade-off between goodness of fit and consistency with economic theory. To address this, herein we propose a novel formulation which connects the dynamic factor model (DFM) framework with concepts from functional data analysis: a DFM with functional factor loading curves. This results in a model capable of forecasting functional time series. Further, in the yield curve context we show that the model retains economic interpretation. Model estimation is achieved through an expectation- maximization algorithm, where the time series parameters and factor loading curves are simultaneously estimated in a single step. Efficient computing is implemented and a data-driven smoothing parameter is nicely incorporated. We show that our model performs very well on forecasting actual yield data compared with existing approaches, especially in regard to profit-based assessment for an innovative trading exercise. We further illustrate the viability of our model to applications outside of yield forecasting.

  8. The Measuring and Impacting Factors Analysis of Rural Straw Yield-Based on the Perspective of Constructing Low-carbon Agricultural Economy

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    On the basis of expounding the status quo and using developmental trend of China’s straw,4 indices are selected:straw yield,planting area,using amount of fertilizer and effective irrigation area.According to the relevant data of China Statistical Yearbook from 1991 to 2008,by using linear regression model,we calculate China’s rural straw yield,analyze the factors impacting straw yield,and point out that the using amount of fertilizer is the important factor impacting straw yield.Based on these,in the perspective of low-carbon agricultural economy,we put forward suggestions of using straw comprehensively from 4 perspectives in order to provide theoretical reference for decision-makers:improve fertilizer dependence;develop straw reuse technology;popularize the technology of straw gasification actively;strengthen farmers’ low-carbon awareness.

  9. Correlation Analysis of some Growth, Yield, Yield Components and ...

    African Journals Online (AJOL)

    Keywords: Correlation, Wheat; growth, yield, yield components, grain quality. INTRODUCTION. Wheat ... macaroni, biscuits, cookies, cakes, pasta, noodles and couscous; beer, many .... and 6 WAS which ensured weed free plots. Fertilizer was ...

  10. Path Analysis of Grain Yield and Yield Components and Some Agronomic Traits in Bread Wheat

    Directory of Open Access Journals (Sweden)

    Mohsen Janmohammadi

    2014-01-01

    Full Text Available Development of new bread wheat cultivars needs efficient tools to monitor trait association in a breeding program. This investigation was aimed to characterize grain yield components and some agronomic traits related to bread wheat grain yield. The efficiency of a breeding program depends mainly on the direction of the correlation between different traits and the relative importance of each component involved in contributing to grain yield. Correlation and path analysis were carried out in 56 bread wheat genotypes grown under field conditions of Maragheh, Iran. Observations were recorded on 18 wheat traits and correlation coefficient analysis revealed grain yield was positively correlated with stem diameter, spike length, floret number, spikelet number, grain diameter, grain length and 1000 seed weight traits. According to the variance inflation factor (VIF and tolerance as multicollinearity statistics, there are inconsistent relationships among the variables and all traits could be considered as first-order variables (Model I with grain yield as the response variable due to low multicollinearity of all measured traits. In the path coefficient analysis, grain yield represented the dependent variable and the spikelet number and 1000 seed weight traits were the independent ones. Our results indicated that the number of spikelets per spikes and leaf width and 1000 seed weight traits followed by the grain length, grain diameter and grain number per spike were the traits related to higher grain yield. The above mentioned traits along with their indirect causal factors should be considered simultaneously as an effective selection criteria evolving high yielding genotype because of their direct positive contribution to grain yield.

  11. FACTORS INFLUENCING YIELD SPREADS OF THE MALAYSIAN BONDS

    Directory of Open Access Journals (Sweden)

    Norliza Ahmad

    2009-01-01

    Full Text Available Malaysian bond market is developing rapidly but not much is understood in terms of macroeconomic factors that could influence the yield spread of the Ringgit Malaysian denominated bonds. Based on a multifactor model, this paper examines the impact of four macroeconomic factors namely: Kuala Lumpur Composite Index (KLCI, Industry Production Index (IPI, Consumer Price Index (CPI and interest rates (IR on bond yield spread of the Malaysian Government Securities (MGS and Corporate Bonds (CBs for a period from January 2001 to December 2008. The findings support the expected hypotheses that CPI and IR are the major drivers that influence the changes in MGS yield spreads. However IPI and KLCI have weak and no influence on MGS yield spreads respectively Whilst IR, CPI and IPI have significant influence on the yield spreads of CB1, CB2 and CB3, KLCI has significant influence only on the CB1 yield spread but not on CB2 and CB3 yield spreads.

  12. Factor analysis

    CERN Document Server

    Gorsuch, Richard L

    2013-01-01

    Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.

  13. Assessment of factors influencing the biomethane yield of maize silages.

    Science.gov (United States)

    Mayer, Frédéric; Gerin, Patrick A; Noo, Anaïs; Foucart, Guy; Flammang, Jos; Lemaigre, Sébastien; Sinnaeve, Georges; Dardenne, Pierre; Delfosse, Philippe

    2014-02-01

    A large set of maize silage samples was produced to assess the major traits influencing the biomethane production of this crop. The biomass yield, the volatile solids contents and the biochemical methane potential (BMP) were measured to calculate the biomethane yield per hectare (average=7266m(3)ha(-1)). The most influential factor controlling the biomethane yield was the cropping environment. The biomass yield had more impact than the anaerobic digestibility. Nevertheless, the anaerobic digestibility of maize silages was negatively affected by high VS content in mature maize. Late maturing maize varieties produced high biomass yield with high digestibility resulting in high biomethane yield per hectare. The BMP was predicted with good accuracy using solely the VS content.

  14. Non-surgical factors influencing lymph node yield in colon cancer

    Institute of Scientific and Technical Information of China (English)

    Patrick Wood; Colin Peirce; Jurgen Mulsow

    2016-01-01

    There are numerous factors which can affect the lymph node(LN) yield in colon cancer specimens.The aim of this paper was to identify both modifiable and nonmodifiable factors that have been demonstrated toaffect colonic resection specimen LN yield and to summarise the pertinent literature on these topics.A literature review of Pub Med was performed to identify the potential factors which may influence the LN yield in colon cancer resection specimens.The terms used for the search were:LN,lymphadenectomy,LN yield,LN harvest,LN number,colon cancer and colorectal cancer.Both nonmodifiable and modifiable factors were identified.The review identified fifteen non-surgical factors:(13 nonmodifiable,2 modifiable) which may influence LN yield.LN yield is frequently reduced in older,obese patients and those with male sex and increased in patients with right sided,large,and poorly differentiated tumours.Patient ethnicity and lower socioeconomic class may negatively influence LN yield.Pre-operative tumour tattooing appears to increase LN yield.There are many factors that potentially influence the LN yield,although the strength of the association between the two varies greatly.Perfecting oncological resection and pathological analysis remain the cornerstones to achieving good quality and quantity LN yields in patients with colon cancer.

  15. Effect of different tillage intensity on yields and yield-forming factors in winter wheat

    Directory of Open Access Journals (Sweden)

    Martin Houšť

    2012-01-01

    Full Text Available The paper presents results of a study on application of minimum tillage technologies when growing winter wheat. Experiments were performed in the sugar-beet-growing region with loamy chernozem within the period of 2005–2009. Aanalysed and evaluated were effects of different methods of soil processing on yield-forming factors in stands of winter wheat grown after three different preceding crops (i.e. alfalfa, maize for silage and pea. Evaluated were the following four variants of tillage: (1 conventional ploughing to the depth of 0.22 m (Variant 1; (2 ploughing to the depth of 0.15 m (Variant 2; (3 direct sowing into the untilled soil (Variant 3, and (4 shallow tillage to the depth of 0.10 m (Variant 4.The effect of different tillage intensity on winter wheat yields was statistically non-significant after all forecrops. After alfalfa, the highest and the lowest average yields were recorded in Variant 2 (i.e. with ploughing to the depth of 0.15 m and Variant 3 (direct sowing into the untilled soil, respectively. After maize grown for silage, higher yields were obtained in Variant 2 and Variant 1 (conventional ploughing while in Variants 4 and 3 the obtained yields were lower. When growing winter wheat after pea as a preceding crop, the highest and the lowest average yields were recorded after direct sowing (Variant 3 and in Variant 1 (i.e. ploughing to the depth of 0.22 m, respectively. Results of studies on effect of different tillage technologies on yields of winter wheat crops indicate that under the given pedological and climatic conditions it is possible to apply methods of reduced tillage intensity. However, the choice of the corresponding technology must be performed with regard to the type of preceding crop.

  16. Corn Response to Competition: Growth Alteration vs. Yield Limiting Factors

    Science.gov (United States)

    Understanding competition mechanisms among adjacent plants can improve site-specific management recommendations. This 2-yr study compared two hypotheses, yield limiting factors vs. behavior modification, to explain plant interactions. Corn was grown under different levels of stress by varying light ...

  17. Analysis of yield advantage in mixed cropping

    NARCIS (Netherlands)

    Ranganathan, R.

    1993-01-01

    It has long been recognized that mixed cropping can give yield advantages over sole cropping, but methods that can identify such yield benefits are still being developed. This thesis presents a method that combines physiological and economic principles in the evaluation of yield advantage.

  18. Wheat yield dynamics: a structural econometric analysis.

    Science.gov (United States)

    Sahin, Afsin; Akdi, Yilmaz; Arslan, Fahrettin

    2007-10-15

    In this study we initially have tried to explore the wheat situation in Turkey, which has a small-open economy and in the member countries of European Union (EU). We have observed that increasing the wheat yield is fundamental to obtain comparative advantage among countries by depressing domestic prices. Also the changing structure of supporting schemes in Turkey makes it necessary to increase its wheat yield level. For this purpose, we have used available data to determine the dynamics of wheat yield by Ordinary Least Square Regression methods. In order to find out whether there is a linear relationship among these series we have checked each series whether they are integrated at the same order or not. Consequently, we have pointed out that fertilizer usage and precipitation level are substantial inputs for producing high wheat yield. Furthermore, in respect for our model, fertilizer usage affects wheat yield more than precipitation level.

  19. [Effects of cultural factors on yield of Linum usitatissimum (Tianya 9)].

    Science.gov (United States)

    He, Li; Zhang, Jin; Du, Yan-bin; Cui, Tong-xia; Wang, Li-jun

    2016-02-01

    Cultural factors influencing high yield and good quality Linum usitatissimum (Tianya 9) were investigated. The correlations between these factors and its yield were analyzed. Path coefficient and principal component analysis were conducted, adopting uniform design of the 8 cultivating factors, i.e. planting density (X1), base nitrogen quantity (X2), base phosphorus quantity (X3), base potassium quantity (X4), foliar fertilizer (potassium dihydrogen phosphate, X5), foliar fertilizer (boron fertilizer, X6), growth regulator (multi-effect azole, X7) and growth duration irrigation amount (X8), aiming at exploring better cultivating plan of L. usitatissimum for Gansu Province. The results indicated that the factors influencing the yield of L. usitatissimum were X1, X7, X2, X3, X5 and X4 in a descending order. Simulation and optimization of the highest yield was further implemented. Frequency analysis showed that the cultivating factors resulting in yield higher than 173.58 kg . hm-2 were 4. 68 - 4. 92 kg . hm-2 (X1) , 11. 59 - 14. 75 kg . hm-2 (X2), 17.26- 21.95 kg . hm-2 (X3), 7.00-12.50 kg . hm-2 (X4) , 1.41-1.81 kg . hm-2 (X5) and 751.74- 954.04 g . hm-2 (X7).

  20. Factors affecting industrial wood, material production yield in Turkey’s natural beech forests

    Directory of Open Access Journals (Sweden)

    Atilla Atik

    2014-07-01

    Full Text Available The objectives of the present study are to determine the most important factors affecting industrial wood material production yield in natural oriental beech forests in Turkey using a multifaceted approach and to help entrepreneurs consider these factors to develop more sensitive and realistic production plans. In Günye Forest Management in Bartın province of the West Black Sea Region of Turkey, 41 production units were chosen as the study area. The 1277 ha study area was included in the 2007 and 2010 production management plan. The general state of the stand, natural stand structure, and production methods and tools are the factors thought most strongly affect industrial wood material production yield; 26 variables representing these factors were evaluated in the study. Through multidimensional statistical analyses, including main components, factor and regression  analysis, we found that the most important factors affecting production yield were fertility, aspect of land, skidding method, stand structure, skidding distance, growing stock, transportation and harmful abiotic factors. Production units were divided into three groups based on yield rates and the 26 variables, using discriminate analysis. From the results of the study, a sample model can be developed to help forest managers predict and plan annual industrial wood production more sensitively and realistically.

  1. Sow and litter factors influencing colostrum yield and nutritional composition.

    Science.gov (United States)

    Declerck, I; Dewulf, J; Piepers, S; Decaluwé, R; Maes, D

    2015-03-01

    One of the main characteristics of colostrum intake (CI), colostrum yield (CY), and colostrum composition (CC) in pigs is its variability. The present observational study aimed to investigate factors influencing CY and CC in 10 commercial herds. In total, 100 sows of 5 different breeds and their 1,455 live-born piglets were included. Sows' CY was estimated by the CI of their suckling piglets. Colostrum composition was analyzed by LactoScope Fourier transform infrared spectroscopy. Colostrum yield averaged 3,500 ± 110 g and the percentage of colostral fat (CF), protein, and lactose in colostrum averaged 5.39 ± 0.12, 16.49 ± 0.14, and 2.02 ± 0.05 %, respectively. The effect of sow, litter, and parturition factors on CY and CC were evaluated with a linear mixed regression model with herd included as a random factor. Sows with a gestation length (GL) of 113 d had a higher CY (4,178 ± 506 g) than sows with a GL of 114 to 115 d (3,342 ± 107 g; = 0.04). An interaction was found between the litter birth weight of suckling piglets (LW) and GL ( = 0.03). In sows with a GL of 114 to 115 d, CY increased with higher LW ( = 0.009). A shorter interval between birth and first suckling of the litter was related to a higher CY ( colostrums was higher in Hypor sows (6.35 ± 0.51) than in PIC (4.98 ± 0.27; = 0.001), Topigs 20 (5.05 ± 0.14; < 0.001), and Danbred (5.34 ± 0.22; < 0.001) sows. The percentage of CF was negatively associated with parity ( = 0.02) and positively associated with the number of live-born piglets ( = 0.03). The percentages of colostral protein and lactose were not significantly associated with any factor in the multivariable model. In conclusion, this study demonstrated that CY and CF are affected by different sow and litter factors. Pig producers may implement these observations in their management to maximize production or reproduction potential by optimizing CI, CY, and CC.

  2. A device for determining the regularity factor of coke yield

    Energy Technology Data Exchange (ETDEWEB)

    Pankrat' ev, O.N.; Bannikov, L.S.; Grishin, S.P.; Parfenov, G.I.

    1982-01-01

    A device which determines the regularity factor of coke yield, which contains a furnace output monitoring unit, which is connected to the meter's input and an indicator, also contains a programmer, a comparator, a second meter, a multiplier and a divider to increase the efficiency and the reliability of information and to reduce manual labor. Here, the first output from the programmer is connected to the multiplier's input while the second output is connected to the initial inputs of the divider and the comparator, the second input of which is connected to the first indicator's output, while the output is connected to the second indicator's input, the output of which is connected to the divider's second input; the output of the divider is connected to the multiplier's second input and to the indicator which is connected to the multiplier's output.

  3. Foundations of factor analysis

    CERN Document Server

    Mulaik, Stanley A

    2009-01-01

    Introduction Factor Analysis and Structural Theories Brief History of Factor Analysis as a Linear Model Example of Factor AnalysisMathematical Foundations for Factor Analysis Introduction Scalar AlgebraVectorsMatrix AlgebraDeterminants Treatment of Variables as Vectors Maxima and Minima of FunctionsComposite Variables and Linear Transformations Introduction Composite Variables Unweighted Composite VariablesDifferentially Weighted Composites Matrix EquationsMulti

  4. Quantitative Genetic Analysis for Yield and Yield Components in Boro Rice (Oryza sativa L.

    Directory of Open Access Journals (Sweden)

    Supriyo CHAKRABORTY

    2010-03-01

    Full Text Available Twenty-nine genotypes of boro rice (Oryza sativa L. were grown in a randomized block design with three replications in plots of 4m x 1m with a crop geometry of 20 cm x 20 cm between November-April, in Regional Agricultural Research Station, Nagaon, India. Quantitative data were collected on five randomly selected plants of each genotype per replication for yield/plant, and six other yield components, namely plant height, panicles/plant, panicle length, effective grains/panicle, 100 grain weight and harvest index. Mean values of the characters for each genotype were used for analysis of variance and covariance to obtain information on genotypic and phenotypic correlation along with coheritability between two characters. Path analyses were carried out to estimate the direct and indirect effects of boro rice�s yield components. The objective of the study was to identify the characters that mostly influence the yield for increasing boro rice productivity through breeding program. Correlation analysis revealed significant positive genotypic correlation of yield/plant with plant height (0.21, panicles/plant (0.53, panicle length (0.53, effective grains/panicle (0.57 and harvest index (0.86. Path analysis based on genotypic correlation coefficients elucidated high positive direct effect of harvest index (0.8631, panicle length (0.2560 and 100 grain weight (0.1632 on yield/plant with a residual effect of 0.33. Plant height and panicles/plant recorded high positive indirect effect on yield/plant via harvest index whereas effective grains/panicle on yield/plant via harvest index and panicle length. Results of the present study suggested that five component characters, namely harvest index, effective grains/plant, panicle length, panicles/plant and plant height influenced the yield of boro rice. A genotype with higher magnitude of these component characters could be either selected from the existing genotypes or evolved by breeding program for genetic

  5. Production yield analysis in the poultry processing industry

    NARCIS (Netherlands)

    Somsen, D.J.; Capelle, A.; Tramper, J.

    2004-01-01

    The paper outlines a case study where the PYA-method (production yield analysis) was implemented at a poultry-slaughtering line, processing 9000 broiler chicks per hour. It was shown that the average live weight of a flock of broilers could be used to predict the maximum production yield of the part

  6. Analysis of Yield and Yield Related Traits Variability of Winter Wheat (Triticum aestivum L. Cv. Izolda and Double Haploid Lines

    Directory of Open Access Journals (Sweden)

    Kozdój Janusz

    2015-12-01

    Full Text Available The yield-forming potential of winter wheat is determined by several factors, namely total number of shoots per plant and total number of spikelets per spike. The field experiments were conducted during three vegetation seasons at the Plant Breeding and Acclimatization Institute – National Research Institute (PBAI–NRI, located in Radzików, Poland. The objective of this study was a comparative analysis of the structural yield-forming factor levels, which determine grain yield per spike and per plant of the DH lines and standard Izolda cultivar. Results indicate that several DH lines showed some differences in tested morphological structures of plant, yield factor levels and in grain yield per spike and per plant in comparison to standard Izolda, regardless of the year. Mean grain yield per plant of DH lines was 26.5% lower in comparison to standard Izolda only in the second year of study. It was caused by a reduction of productive tillers number. Structural yield-forming potential of DH lines was used in 38% and 59% and in case of Izolda in 47% and 61% (the second and the third year of experiment, respectively. The mean grain yield per spike of DH lines was 14.8% lower than Izolda cultivar only in third year of experiment and it was caused by about 12% lower number of grains per spike. Structural yield-forming potential of DH spikes was used in 82.4%, 85.4% and 84.9% and in case of Izolda in 83.8%, 87% and 89.5% (the first, the second and the third year of experiment, respectively. The grain yield per winter wheat plant (both DH lines and standard Izolda was significantly correlated with the number of productive tillers per plant (r = 0.80. The grain yield per winter wheat spike (both DH lines and Izolda cultivar was significantly and highly correlated with the number of grains per spike (r = 0.96, number of fertile spikelets per spike (r = 0.87 and the spike length (r = 0.80. Variation of spike and plant structural yield-forming factors

  7. Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach

    Directory of Open Access Journals (Sweden)

    behnam kamkar

    2009-06-01

    Full Text Available There are three hierarchical steps to fill the yield gaps in agricultural systems. These steps are determination of potential yield, yield gaps and system optimization to fill yield gaps. In this study a simple mechanistic model was developed and tested to determine potential yield and yield gaps of Cumin (Cuminum cyminum in nine regions of Khorasan provinces (including Bojnourd, Qaeen, Mashhad, Neishabour, Sabzewar, Gonabad, Ferdous, Kashmar and Birjand. Collected data of related year from 228 fields were used to calculate yield gaps. Results indicated variable potential yields in different climatic conditions (the areas with cooler climate and higher radiation had higher potential yields. Also, yield gaps varied considerably between regions (from 2.42 ton.ha-1 in Bojnourd to 0.68 ton.ha-1 in Sabzewar. The highest value for potential yield belonged to Bojnourd (3.7 ton.ha-1. The collected data from studied fields and sensitivity analysis on sowing date (based on common sowing dates range showed that inappropriate sowing dates was one of the most important yield reducing factors in all regions. Results revealed that if the yield gaps can be filled based on appropriate management option, yield can be increased by two to three folds in some regions.

  8. Genetic analysis of yield in peanut ( Arachis hypogaea L.) using ...

    African Journals Online (AJOL)

    Genetic analysis of yield in peanut ( Arachis hypogaea L.) using mixed model of ... parent) and a variety Yuhua No.4 (male parent) was used in this research. ... No.4 using the method of major gene plus polygene mixed inheritance model.

  9. 影响荷斯坦奶牛305d产奶量的因素分析%Analysis of Factors Influencing 305-days Milk Yield of Holstein Dairy Cow

    Institute of Scientific and Technical Information of China (English)

    叶东东; 张孔杰; 热西提·阿不都热合曼; 黄锡霞; 张再国; 邓江玲; 张桂芬

    2011-01-01

    [ Objective] In order to investigate factors influencinf; 305 - days milk yield of Holstein cow. [ Method]The effects of SA58 . 1 CLM on 305 - days milk yield were analyzed. [ Result]Effect of different years on 305 - days milk yield was highly significant ( P < 0.01) ; Effect of calving season on 305 - days milk yield was highly significant ( P < 0.01) , 305 - days milk yield was the highest in winter, the lowest in summer; Effect of different parities on 305 - days milk yield was highly significant ( P < 0.01) , the 305 - days milk yield increased by the parity increased, decreased after the fifth parity; Effect of different first calving month age on 305 - days milk yield was highly significant ( P < 0.01) , the 305 - days milk yield was the highest when first calving age during 24 -26 months. [ Conclusion] Year, calving season, parity and first calving month age were the main factors influencing 305 - days milk yield .%[目的]探讨各因素对荷斯坦奶牛305 d产奶量的影响.[方法]采用SAS8.1软件对影响305 d产奶量的因素进行最小二乘方差分析.[结果]不同年度对305 d产奶量的影响极显著(P<0.01);不同产犊季节对305 d产奶量有极显著的影响(P<0.01),冬季产奶量最高,夏季产奶量最低;不同胎次对305 d产奶量有极显著的影响(P<0.01),305 d产奶量随着奶牛胎次的增加产奶量也逐渐增加,5胎后开始下降;不同初产月龄对305 d产奶量有极显著的影响(P<0.01),当初产年龄在24-26月龄间产奶量最高.[结论]年度、产犊季节、胎次和初产月龄均是影响荷斯坦奶牛305 d产奶量的主要因素.

  10. Optimal yield-related attributes of irrigated rice for high yield potential based on path analysis and stability analysis

    Directory of Open Access Journals (Sweden)

    Ganghua Li

    2014-08-01

    Full Text Available Improvement of yield in rice (Oryza sativa L. is vital for ensuring food security in China. Both rice breeders and growers need an improved understanding of the relationship between yield and yield-related traits. New indica cultivars (53 in 2007 and 48 in 2008 were grown in Taoyuan, Yunnan province, to identify important components contributing to yield. Additionally, two standard indica rice cultivars with similar yield potentials, II You 107 (a large-panicle type and Xieyou 107 (a heavy-panicle type, were planted in Taoyuan, Yunnan province and Nanjing, Jiangsu province, from 2006 to 2008 to evaluate the stability of yield and yield-related attributes. Growth duration (GD, leaf area index (LAI, panicles per m2 (PN, and spikelets per m2 (SM were significantly and positively correlated with grain yield (GY over all years. Sequential path analysis identified PN and panicle weight (PW as important first-order traits that influenced grain yield. All direct effects were significant, as indicated by bootstrap analysis. Yield potential varied greatly across locations but not across years. Plant height (PH, days from heading to maturity (HM, and grain weight (GW were stable traits that showed little variation across sites or years, whereas GD (mainly the pre-heading period, PHP and PN varied significantly across locations. To achieve a yield of 15 t ha− 1, a cultivar should have a PH of 110–125 cm, a long GD with HM of approximately 40 days, a PN of 300–400 m− 2, and a GW of 29–31 mg.

  11. Optimal yield-related attributes of irrigated rice for high yield potential based on path analysis and stability analysis

    Institute of Scientific and Technical Information of China (English)

    Ganghua; Li; Jun; Zhang; Congdang; Yang; Yunpan; Song; Chengyan; Zheng; Shaohua; Wang; Zhenghui; Liu; Yanfeng; Ding

    2014-01-01

    Improvement of yield in rice(Oryza sativa L.) is vital for ensuring food security in China. Both rice breeders and growers need an improved understanding of the relationship between yield and yield-related traits. New indica cultivars(53 in 2007 and 48 in 2008) were grown in Taoyuan,Yunnan province, to identify important components contributing to yield. Additionally, two standard indica rice cultivars with similar yield potentials, II You 107(a large-panicle type) and Xieyou 107(a heavy-panicle type), were planted in Taoyuan, Yunnan province and Nanjing,Jiangsu province, from 2006 to 2008 to evaluate the stability of yield and yield-related attributes.Growth duration(GD), leaf area index(LAI), panicles per m2(PN), and spikelets per m2(SM) were significantly and positively correlated with grain yield(GY) over all years. Sequential path analysis identified PN and panicle weight(PW) as important first-order traits that influenced grain yield. All direct effects were significant, as indicated by bootstrap analysis. Yield potential varied greatly across locations but not across years. Plant height(PH), days from heading to maturity(HM), and grain weight(GW) were stable traits that showed little variation across sites or years, whereas GD(mainly the pre-heading period, PHP) and PN varied significantly across locations. To achieve a yield of 15 t ha-1, a cultivar should have a PH of 110–125 cm, a long GD with HM of approximately 40 days, a PN of 300–400 m-2, and a GW of 29–31 mg.

  12. Interactions of climatic factors affecting milk yield and composition

    Energy Technology Data Exchange (ETDEWEB)

    Sharma, A.K.; Rodriguez, L.A.; Wilcox, C.J.; Collider, R.J.; Bachman, K.C.; Martin, F.G.

    1988-01-01

    Objectives were to evaluate effects of interactions of maximum temperature, minimum relative humidity, and solar radiation on milk yield and constituent traits. Effects of climate variables and their interactions were significant but small in most cases. Second order regression models were developed for several variables. Six were examined in detail: Holstein and Jersey milk yields, Holstein fat and Feulgen-DNA reflectance percent, and Jersey protein percent and yield. Maximum temperature had greatest influence on each response, followed by minimum relative humidity and solar radiation. Optimum conditions for milk production were at maximum temperatures below 19. 4/degree/C, increasing solar radiation, and minimum relative humidity between 33.4 and 78.2% (cool sunny days, moderate humidity). Maximum Holstein fat percent of 3.5% was predicted for maximum temperatures below 30.8/degree/C, minimum relative humidity below 89%, and solar radiation below 109 Langleys; actual mean Holstein fat percent was 3. 35%. Optimum climatic conditions for Jersey protein percent were at maximum temperature of 10.6/degree/C with solar radiation at 300 Langleys and relative humidity at 16% (cool sunny days, low humidity). Because noteworthy interactions existed between climate effects, response surface methodology was suitable for determining optimum climatic conditions for milk production.

  13. Managment oriented analysis of sediment yield time compression

    Science.gov (United States)

    Smetanova, Anna; Le Bissonnais, Yves; Raclot, Damien; Nunes, João P.; Licciardello, Feliciana; Le Bouteiller, Caroline; Latron, Jérôme; Rodríguez Caballero, Emilio; Mathys, Nicolle; Klotz, Sébastien; Mekki, Insaf; Gallart, Francesc; Solé Benet, Albert; Pérez Gallego, Nuria; Andrieux, Patrick; Moussa, Roger; Planchon, Olivier; Marisa Santos, Juliana; Alshihabi, Omran; Chikhaoui, Mohamed

    2016-04-01

    The understanding of inter- and intra-annual variability of sediment yield is important for the land use planning and management decisions for sustainable landscapes. It is of particular importance in the regions where the annual sediment yield is often highly dependent on the occurrence of few large events which produce the majority of sediments, such as in the Mediterranean. This phenomenon is referred as time compression, and relevance of its consideration growths with the increase in magnitude and frequency of extreme events due to climate change in many other regions. So far, time compression has ben studied mainly on events datasets, providing high resolution, but (in terms of data amount, required data precision and methods), demanding analysis. In order to provide an alternative simplified approach, the monthly and yearly time compressions were evaluated in eight Mediterranean catchments (of the R-OSMed network), representing a wide range of Mediterranean landscapes. The annual sediment yield varied between 0 to ~27100 Mg•km-2•a-1, and the monthly sediment yield between 0 to ~11600 Mg•km-2•month-1. The catchment's sediment yield was un-equally distributed at inter- and intra-annual scale, and large differences were observed between the catchments. Two types of time compression were distinguished - (i) the inter-annual (based on annual values) and intra- annual (based on monthly values). Four different rainfall-runoff-sediment yield time compression patterns were observed: (i) no time-compression of rainfall, runoff, nor sediment yield, (ii) low time compression of rainfall and runoff, but high compression of sediment yield, (iii) low compression of rainfall and high of runoff and sediment yield, and (iv) low, medium and high compression of rainfall, runoff and sediment yield. All four patterns were present at inter-annual scale, while at intra-annual scale only the two latter were present. This implies that high sediment yields occurred in

  14. Lower Bound Limit Analysis Of Slabs With Nonlinear Yield Criteria

    DEFF Research Database (Denmark)

    Krabbenhøft, Kristian; Damkilde, Lars

    2002-01-01

    A finite element formulation of the limit analysis of perfectly plastic slabs is given. An element with linear moment fields for which equilibrium is satisfied exactly is used in connection with an optimization algorithm taking into account the full nonlinearity of the yield criteria. Both load...

  15. Assessment of cluster yield components by image analysis.

    Science.gov (United States)

    Diago, Maria P; Tardaguila, Javier; Aleixos, Nuria; Millan, Borja; Prats-Montalban, Jose M; Cubero, Sergio; Blasco, Jose

    2015-04-01

    Berry weight, berry number and cluster weight are key parameters for yield estimation for wine and tablegrape industry. Current yield prediction methods are destructive, labour-demanding and time-consuming. In this work, a new methodology, based on image analysis was developed to determine cluster yield components in a fast and inexpensive way. Clusters of seven different red varieties of grapevine (Vitis vinifera L.) were photographed under laboratory conditions and their cluster yield components manually determined after image acquisition. Two algorithms based on the Canny and the logarithmic image processing approaches were tested to find the contours of the berries in the images prior to berry detection performed by means of the Hough Transform. Results were obtained in two ways: by analysing either a single image of the cluster or using four images per cluster from different orientations. The best results (R(2) between 69% and 95% in berry detection and between 65% and 97% in cluster weight estimation) were achieved using four images and the Canny algorithm. The model's capability based on image analysis to predict berry weight was 84%. The new and low-cost methodology presented here enabled the assessment of cluster yield components, saving time and providing inexpensive information in comparison with current manual methods. © 2014 Society of Chemical Industry.

  16. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.;

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corr......This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  17. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    2002-01-01

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  18. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  19. Determination of the shape factor of (90)Sr by means of the cutoff energy yield method.

    Science.gov (United States)

    Grau Carles, A; Kossert, K; Grau Malonda, A

    2008-01-01

    Usually, Kurie plots are used to analyze beta-spectra shape-factor functions measured by means of semiconductor and magnetic spectrometers. A drawback of these techniques is the occurrence of self-absorption within the samples through which the emission spectrum is altered. In liquid-scintillation samples self-absorption does not occur, but the poor energy resolution makes the analysis of the spectra difficult. To overcome this problem, two resolution-invariant observables are used for determining the shape-factor function of (90)Sr: (1) the maximum point energy and (2) the cutoff energy yield. The measured shape-factor function of (90)Sr agrees with the one which is predicted by theory for the first-forbidden unique transition.

  20. Influencing Factors Analysis of Yield Drift Angles for Reinforced Concrete Frame Columns%钢筋混凝土框架柱层间屈服位移角的影响因素分析

    Institute of Scientific and Technical Information of China (English)

    袁健; 邓瑞基; 贺国京

    2013-01-01

    The seismic performance test data of 181 reinforced concrete columns with rectangular section both at home and abroad are collected,but the relationship between the yield drift angles and influencing factors couldn' t be obtained by using the traditional fitting regression method directly because of the differences or missing of secondary factors.In order to eliminate some of the secondary factor bias effects,an improved data filtering processing method is presented and the compiling program is used to filter some data for each interval,which tried to make the secondary factors means of remaining data points in each interval at the same level.According to the filtered data points,the influence of axial compression ratio,longitudinal reinforcement ratio and shear span ratio to the yield drift angles of reinforced concrete columns are discussed respectively.The results show that the yield drift angles of frame columns decrease linearly with the increase of axial compression ratio,and they increase linearly with the increase of longitudinal reinforcement ratio,but the effect of shear span ratio is smaller.%收集了国内外181根钢筋混凝土矩形截面柱的抗震性能试验数据,由于各试验因素取值存在差异或缺失,无法直接采用传统的拟合回归方法得到层间屈服位移角与各因素之间的关系.为了将次要因素偏差的影响控制在一定程度,本文提出了一种改进的数据过滤处理方法,并利用编制的程序对每个区间的数据点进行过滤,从而使各区间剩余数据点的次要因素均值尽可能处于同一水平.根据过滤后剩余的数据点,分别探讨了轴压比、纵向配筋率及剪跨比对框架柱层间屈服位移角的影响规律.结果表明,框架柱的层间屈服位移角随轴压比的增大而线性减小,随纵向配筋率的增大而线性增大,而受剪跨比的影响较小.

  1. Stability Analysis for Seed Yield over Environments in Coriander

    Directory of Open Access Journals (Sweden)

    Sangeeta Yadav

    2016-11-01

    Full Text Available Thirty five genotypes of coriander (Coriandrum sativum L. were tested in four artificially created environments to judge their stability in performance of seed yield. The differences among genotypes and environments were significant for seed yield. Stability parameters varied considerably among the tested genotypes in all the methods used. The variation in result in different methods was due to non-fulfillment of assumption of different models. However, AMMI analysis provides the information on main effects as well as interaction effects and depiction of PCA score gives better understanding of the pattern of genotype – environment interaction. The sum of squares due to PCAs was also used for the computation of AMMI stability values for better understanding of the adaptability behavior of genotypes hence, additive main effects and multiplicative interaction (AMMI model was most appropriate for the analysis of G x E interactions for seed yield in coriander. Genotypes RVC 15, RVC 19, RVC 22, RVC 25 and Panipat local showed wider adaptability while, Simpo S 33 exhibited specific adaptability to favourable conditions of high fertility. These genotypes could be utilized in breeding programmers to transfer the adaptability genes into high yielding genetic back ground of coriander.

  2. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  3. Study of Winter Wheat Yield Quality Analysis at ARDS Turda

    Directory of Open Access Journals (Sweden)

    Ovidiu Adrian Ceclan

    2016-11-01

    Full Text Available The purpose of this research is to study the potential for yield and quality indicators for winter wheat genotypes in terms of pedological and climate condition and applied technology, at ARDS Turda during 2014 – 2015. Depending on the climatic conditions that are associated with applied technology is a decisive factor in successful wheat crop for all genotypes that were studied at Ards Turda during the 2014 – 2016. That’s wy each genotype responded differently to the conditions of the ARDS Turda also through the two levels of fertilisations applied in the winter with fertilizers 20:20:0, 250 kg/ha assuring 50 kg/ha N and P active substance and second level of fertilisations with 150 kg/ha ammonium nitrate assuring 50 kg/ha N active substance. All genotype that were studied in terms of yield and quality indicators were influenced by the fertilization level. The influence of pedo-climatic conditions, applied technologies and fertilizers level at ARDS Turda showed that all genotypes with small yield had higher protein and gluten content respectively Zeleny index.

  4. Influence of soil, plant and meteorological factors on water relations and yield in Hevea brasiliensis

    Science.gov (United States)

    Rao, G. Gururaja; Rao, P. Sanjeeva; Rajagopal, R.; Devakumar, A. S.; Vijayakumar, K. R.; Sethuraj, M. R.

    1990-09-01

    Influence of factors governing the soil-plantatmosphere system on components of water relations and yield was studied in two clones of rubber tree, Hevea brasiliensis, viz. RRII 105 and RRII 118. Clonal variations were evident in yield and yield components and associated physiological parameters in response to soil moisture status and meteorological factors. Observations made during different seasons indicatedvariations in yield are attributed to differences in plugging index and initial flow rates, to the major yield components and also variations in components of water relations as influenced by meteorological factors. Among the two clones, RRII 105 was found to be fairly drought tolerant compared to RRII 118. RRII 105 was found to respond well to dry weather through higher stomatal resistances, higher leaf water potentials, lowered transpirational water loss and lower relative transpiration ratios, while RRII 118 was susceptible to stress situations.

  5. Analysis on Wheat Yield in China Based on the Prediction of Yield Potential

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The maximum yield growth range of wheat yield per unit in China is analyzed from three aspects including photosynthesis production potential of wheat,the changing trend of per unit wheat in the previous years and potential of distribution area agricultural crops.In the paper,the potential of using light,the external potential of historical yield evolution tend and AEZ (agricultural ecological zone) are applied to calculate the per unit yield potential of Chinese wheat.The results assume that the maximum growth range of per unit yield in different stages was different:before 1991,the growth range was 10%;before 1996,the growth range was 9%;before 2000,the growth range was 8%.Any variety of wheat and planting technology higher than the above growth range can only be promoted in restricted area and has the statistical error.The results are of reference significance to Chinese wheat production.

  6. Yield gap analysis and assessment of climate-induced yield trends of irrigated rice in selected provinces of the Philippines

    Directory of Open Access Journals (Sweden)

    Reiner Wassmann

    2012-04-01

    Full Text Available This study describes a combined empirical/modeling approach to assess the possible impact of climate variability on rice production in the Philippines. We collated climate data of the last two decades (1985-2002 as well as yield statistics of six provinces of the Philippines, selected along a North-South gradient. Data from the climate information system of NASA were used as input parameters of the model ORYZA2000 to determine potential yields and, in the next steps, the yield gaps defined as the difference between potential and actual yields. Both simulated and actual yields of irrigated rice varied strongly between years. However, no climate-driven trends were apparent and the variability in actual yields showed no correlation with climatic parameters. The observed variation in simulated yields was attributable to seasonal variations in climate (dry/wet season and to climatic differences between provinces and agro-ecological zones. The actual yield variation between provinces was not related to differences in the climatic yield potential but rather to soil and management factors. The resulting yield gap was largest in remote and infrastructurally disfavored provinces (low external input use with a high production potential (high solar radiation and day-night temperature differences. In turn, the yield gap was lowest in central provinces with good market access but with a relatively low climatic yield potential. We conclude that neither long-term trends nor the variability of the climate can explain current rice yield trends and that agroecological, seasonal, and management effects are over-riding any possible climatic variations. On the other hand the lack of a climate-driven trend in the present situation may be superseded by ongoing climate change in the future.

  7. Pod yield stability analysis of runner peanut lines using AMMI

    Directory of Open Access Journals (Sweden)

    Eder Jorge de Oliveira

    2006-01-01

    Full Text Available The interaction between genotypes and environment (GxE can influence the selection process andrecommendation of peanut cultivars. The objective of this study was therefore to evaluate the influence of GxE interaction ofpeanut pod yield using AMMI. The yield of 18 peanut lines and the cultivars IAC Caiapo and Runner IAC 886 was assessedin 10 field trials in the state of São Paulo. Significant effects of genotypes, environments and GxE interactions were detected inthe analysis. The first AMMI principal component (IPCA1 explained 42.3% of the sum of squares of the GxE interaction.Sixteen of the twenty lines/cultivars under evaluation presented medium to high stability. Genotypes L127, L118, L123 line andRunner IAC 886 accounted for the greatest part of GxE interaction. Lines L132, L149 and L1-50P presented the higheststability and pod yields, above the overall mean, reflecting outstanding potential for cultivar recommendation.

  8. Analysis of Yield Spreads on Commercial Mortgage-Backed Securities

    OpenAIRE

    Brian A. Maris; William Segal

    2002-01-01

    Yield spreads on commercial mortgage-backed securities (CMBS) are defined as the difference between the yield on CMBS and the yield on comparable-maturity Treasuries. CMBS yield spreads declined dramatically from 1992 until 1997, then increased in 1998 and 1999. The relationship between CMBS yield spreads and other variables is estimated in an effort to explain recent trends. Results identify several variables that are related to yield spreads on both fixed-rate and variable-rate CMBS. Howeve...

  9. Limitations in the Statistical Analysis of Normalised Cigarette Smoke Analyte Yield per Milligram of Nicotine Yield

    Directory of Open Access Journals (Sweden)

    Cahours X

    2014-12-01

    Full Text Available Yields of selected mainstream smoke analytes expressed per milligram of nicotine yield (nicotine ratio and ceilings on these ratios have been proposed by WHO as part of future cigarette product regulation. This paper describes the different approaches required for precision assessment, depending on whether yields or nicotine ratios are being studied. The widely used approach of assessment of yield precision is to perform a collaborative study using a standardised method. However, for assessment of ratio precision the measurement of smoke analyte and smoke nicotine yields are often not carried out on the same set of cigarettes (unpaired due to analytical constraints and therefore the statistical approach described in ISO 5725 is inappropriate due to the various replicate combinations. In this paper, the precision of ratios was computed with unpaired measurements for NNN and nicotine yield data for the CM6 monitor test piece and the Kentucky Reference 1R5F cigarette carried out during a collaborative study in 2011 (1. A sampling technique, based on the draw of the most representative ratios, has been used to evaluate the range of both estimated repeatability and reproducibility under the ISO smoking regime that might be expected when comparing data between different laboratories. This statistical evaluation highlighted that a robust estimate of repeatability and reproducibility could not be determined for ratios obtained with unpaired measurements, using the method defined by ISO5725-2.

  10. Effects of No-Till on Yields as Influenced by Crop and Environmental Factors

    Energy Technology Data Exchange (ETDEWEB)

    Toliver, Dustin K.; Larson, James A.; Roberts, Roland K.; English, B.C.; De La Torre Ugarte, D. G.; West, Tristram O.

    2012-02-07

    Th is research evaluated diff erences in yields and associated downside risk from using no-till and tillage practices. Yields from 442 paired tillage experiments across the United States were evaluated with respect to six crops and environmental factors including geographic location, annual precipitation, soil texture, and time since conversion from tillage to no-till. Results indicated that mean yields for sorghum [Sorghum bicolor (L.) Moench] and wheat (Triticum aestivum L.) with no-till were greater than with tillage. In addition, no-till tended to produce similar or greater mean yields than tillage for crops grown on loamy soils in the Southern Seaboard and Mississippi Portal regions. A warmer and more humid climate and warmer soils in these regions relative to the Heartland, Basin and Range, and Fruitful Rim regions appear to favor no-till on loamy soils. With the exception of corn (Zea mays L.) and cotton (Gossypium hirsutum L.) in the Southern Seaboard region, no-till performed poorly on sandy soils. Crops grown in the Southern Seaboard were less likely to have lower no-till yields than tillage yields on loamy soils and thus had lower downside yield risk than other farm resource regions. Consistent with mean yield results, soybean [Glycine max (L.) Merr.] and wheat grown on sandy soils in the Southern Seaboard region using no-till had larger downside yield risks than when produced with no-till on loamy soils. Th e key fi ndings of this study support the hypothesis that soil and climate factors impact no-till yields relative to tillage yields and may be an important factor infl uencing risk and expected return and the adoption of the practice by farmers.

  11. B{yields}D{sup (*)} form factors from QCD light-cone sum rules

    Energy Technology Data Exchange (ETDEWEB)

    Faller, S. [Universitaet Siegen, Theoretische Physik 1, Fachbereich Physik, Siegen (Germany); CERN, Theory Division, Department of Physics, Geneva 23 (Switzerland); Khodjamirian, A.; Klein, C.; Mannel, T. [Universitaet Siegen, Theoretische Physik 1, Fachbereich Physik, Siegen (Germany)

    2009-04-15

    We derive new QCD sum rules for B{yields}D and B{yields}D{sup *} form factors. The underlying correlation functions are expanded near the light-cone in terms of B-meson distribution amplitudes defined in HQET, whereas the c-quark mass is kept finite. The leading-order contributions of two- and three-particle distribution amplitudes are taken into account. From the resulting light-cone sum rules we calculate all B{yields}D{sup (*)} form factors in the region of small momentum transfer (maximal recoil). In the infinite heavy-quark mass limit the sum rules reduce to a single expression for the Isgur-Wise function. We compare our predictions with the form factors extracted from experimental B{yields}D{sup (*)}l{nu} {sub l} decay rates fitted to dispersive parameterizations. (orig.)

  12. Diagnostic yield of stool culture and predictive factors for positive culture in patients with diarrheal illness.

    Science.gov (United States)

    Lee, Jae Young; Cho, Sun Young; Hwang, Hannah Sun Hae; Ryu, Ja Young; Lee, Jongjin; Song, In Do; Kim, Beom Jin; Kim, Jeong Wook; Chang, Sae Kyung; Choi, Chang Hwan

    2017-07-01

    We aimed to investigate the diagnostic yield of stool cultures and identify predictive factors for positive cultures in patients with diarrheal illness.A total of 13,327 patients who underwent stool cultures due to diarrheal illness were reviewed. Stool cultures were performed for enteric pathogens, including Salmonella, Shigella, Vibrio, Klebsiella oxytoca, and Yersinia. The culture-positive group was compared with the culture-negative group who were randomly selected from culture negative patients.A total of 196 patients (1.47%) were diagnosed with positive stool culture. In 196 culture positive patients, Salmonella spp. (75.0%) was detected most commonly, followed by Vibrio (19.4%). Univariate analyses showed fever (>37.8°C), vomiting, duration and frequency of diarrhea, and high C-reactive protein (CRP) were significantly associated with positive stool culture. Multivariate analysis showed fever (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.25-4.35; P = .008), ≥5/day of diarrhea (OR, 3.52; 95% CI, 1.93-6.44; P 50 mg/L of CRP (OR, 2.27; 95% CI, 1.18-4.36; P = .014) were independent predictors for positive stool culture. OR in patients with all 3 factors was 6.55 (95% CI, 2.56-16.75; P factor.Diagnostic yield of stool culture in patients with diarrheal illness is very low. Fever, frequency of diarrhea, and high CRP are predictors for positive stool cultures. These findings may lead to more discerning and cost-effective utilization of stool culture by clinicians.

  13. Studies on the Effects of Climatic Factors on Dryland Wheat Grain Yield in Maragheh Region

    Directory of Open Access Journals (Sweden)

    V. Feiziasl

    2011-01-01

    Full Text Available Abstract In order to study the effects of climate variables on rainfed wheat grain yield, climate data and wheat yield for 10 years (1995-2005 collected from Dryland Agricultural Research Institute (DARI in Maragheh as the main station in cold and semi-cold areas. Collected data were analyzed by correlation coefficient, simple regression, stepwise regression and path analysis. The results showed that relationships between grain yield with average relative humidity and total rainfall of growing season was positive and significant at 5% and 1% probabilities, respectively. However, evaluation between grain yield with sunny hours and class A pan evaporation was negative and significant (p

  14. PATH COEFFICIENT ANALYSIS OF SEVERAL COMPONENTS OIL YIELD IN SUNFLOWER (HELIANTHUS ANNUUS L.

    Directory of Open Access Journals (Sweden)

    A. MIjić

    2006-06-01

    Full Text Available The objective of investigation was to analyse oil yield components and their relations by simple coefficient correlations as well as direct and indirect effects to oil yield by path analysis. Twenty-four sunflower hybrids were included in the investigation and their seven traits (plant height, head diameter, 1000 seed weight, hec- tolitar mass, grain yield, oil content and oil yield. Very strong positive correlation was estimated between grain yield and oil yield, strong positive correlation between hectolitar mass and oil yield, and middle corre- lation among oil yield and: 1000 seed weight, plaint height and oil content. There was no correlation between grain yields and oil content. Grain yield showed the strongest effect to oil yield. Oil content had lower effect to oil yield. Other traits showed no significant effect to oil yield, and their effect to oil yield was covered by indirect effect of grain yield.

  15. Factor Analysis and AIC.

    Science.gov (United States)

    Akaike, Hirotugu

    1987-01-01

    The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)

  16. Introduction to production yield analysis : a new tool for improvement of raw material yield

    NARCIS (Netherlands)

    Somsen, D.; Capelle, A.

    2002-01-01

    Mass losses during processing will result in a decrease of production yield. Losses can be separated in wanted and unwanted losses. Wanted losses are necessary to transform raw material into desired final product(s). Unwanted losses will result in additional raw material usage and generate

  17. Analysis of the trade-off between high crop yield and low yield instability at the global scale

    Science.gov (United States)

    Ben-Ari, Tamara; Makowski, David

    2016-10-01

    Yield dynamics of major crops species vary remarkably among continents. Worldwide distribution of cropland influences both the expected levels and the interannual variability of global yields. An expansion of cultivated land in the most productive areas could theoretically increase global production, but also increase global yield instability if the most productive regions are characterized by high interannual yield variability. In this letter, we use portfolio analysis to quantify the tradeoff between the expected values and the interannual variance of global yield. We compute optimal frontiers for four crop species i.e., maize, rice, soybean and wheat and show how the distribution of cropland among large world regions can be optimized to either increase expected global crop production or decrease its interannual variability. We also show that a preferential allocation of cropland in the most productive regions can increase global expected yield at the expense of yield stability. Theoretically, optimizing the distribution of a small fraction of total cultivated areas can help find a good compromise between low instability and high crop yields at the global scale.

  18. Sequential Path Analysis for Determination of Relationship Between Yield and Yield Components in Bread Wheat (Triticum aestivum.L.

    Directory of Open Access Journals (Sweden)

    Mohtasham MOHAMMADI

    2014-03-01

    Full Text Available An experiment was conducted to evaluate 295 wheat genotypes in Alpha-Lattice design with two replications. The arithmetic mean and standard deviation of grain yield was 2706 and 950 (kg/ha,respectively. The results of correlation coefficients indicated that grain yield had significant and positive association with plant height, spike length, early growth vigor and agronomic score. Whereas there were negative correlation coefficients between grain yield and days to physiological maturity and canopy temperature before and during anthesis. Path analysis indicated agronomic score and plant height had high positive direct effects on grain yield, while canopy temperature before and during anthesis, and days to maturity, wes another trait having negative direct effect on grain yield. The results of sequential path analysis showed the traits that accounted as a criteria variable for high grain yield were agronomic score, plant height, canopy temperature, spike length, chlorophyll content and early growth vigor, which were determined as first, second and third order variables and had strong effects on grain yield via one or more paths. More important, as canopy temperature, agronomic score and early growth vigor can be evaluated quickly and easily, these traits may be used for evaluation of large populations.

  19. Parametric Yield Analysis of Mems via Statistical Methods

    CERN Document Server

    Vudathu, S -P; Laur, Rainer; Kubalinska, D; Bunse-Gerstner, A

    2007-01-01

    This paper considers a developing theory on the effects of inevitable process variations during the fabrication of MEMS and other microsystems. The effects on the performance and design yield of the microsystems devices are analyzed and presented. A novel methodology in the design cycle of MEMS and other microsystems is briefly introduced. This paper describes the initial steps of this methodology that is aimed at counteracting the parametric variations in the product cycle of microsystems. It is based on a concept of worst-case analysis that has proven successful in the parent IC technology. Issues ranging from the level of abstraction of the microsystem models to the availability of such models are addressed

  20. YIELD COMPONENTS ANALYSIS AND HERITABILITY OF AGRONOMIC TRAITS AMONG SOME ACCESSIONS OF SORGHUM IN GHANA

    Directory of Open Access Journals (Sweden)

    Daniel Nyadanu

    2015-07-01

    Full Text Available Sorghum (Sorghum bicolor L. Moench is an important staple food crop in Ghana. It is used to prepare ‘tuo zaafi’, porridge and cake and to brew local beer known as ‘pito’.  Unfortunately, sorghum attracts limited research attention to improve its low productivity which is of great disincentive to farmers. Understanding of yield and its components in sorghum is needed to improve the yield of existing local varieties. A study was carried out under field conditions in Navrongo in the Kassena-Nankana district of the Upper East region of Ghana using four local accessions of sorghum; Banina, Kadaga, Naga red and Kapala to investigate yield and its components and their genetic parameters. There were significant (P<0.05 differences in yield traits among the accessions. High values for phenotypic coefficient of variation (PCV and genotypic coefficient of variation (GCV were recorded for harvest index and number of grains per panicle. High heritability and high genetic advance (GA were observed for number of days to flowering, number of primary panicles, grain weight per panicle, and days to maturity. Banina variety produced the highest number of leaves, panicle height, panicle width, plant height, number of grains per panicle, grains weight, economic and biological yield. There were also significant and positive correlation among most of the characters studied. Principal components analysis revealed that Banina was the highest yielding accession and number of grains per panicle was the principal contributing factor of this accession.

  1. No Sommerfeld resummation factor in e{sup +}e{sup -}{yields}p anti p ?

    Energy Technology Data Exchange (ETDEWEB)

    Baldini Ferroli, R. [Museo Storico della Fisica e Centro Studi e Ricerche ' ' E. Fermi' ' , Rome (Italy); Laboratori Nazionali di Frascati, INFN, Frascati (Italy); Pacetti, S. [Universita di Perugia, Dipartimento di Fisica, Perugia (Italy); INFN, Perugia (Italy); Zallo, A. [Laboratori Nazionali di Frascati, INFN, Frascati (Italy)

    2012-03-15

    The Sommerfeld rescattering formula is compared to the e{sup +}e{sup -}{yields}p anti p BABAR data at threshold and above. While there is the expected Coulomb enhancement at threshold, two unexpected outcomes have been found: the modulus of the proton form factor is normalized to one at threshold, i.e. vertical stroke G {sup p} (4M{sub p}{sup 2}) vertical stroke = 1, as a pointlike fermion, and, moreover, data show that the resummation factor in the Sommerfeld formula is not needed. Other e{sup +}e{sup -}{yields} baryon-antibaryon cross-sections show similar behavior near threshold. (orig.)

  2. A study on correlation and path analysis for seed yield and yield components in sunflower [Helianthus annuus (L.

    Directory of Open Access Journals (Sweden)

    M.M.Pandya, P.B.Patel, A.V. Narwade

    2015-06-01

    Full Text Available Correlation and path coefficient analysis was carried out in 40 genotypes of sunflower [Helianthus annuus (L.]. Association analysis between seed yield per plant and other 14 characters revealed that seed yield per plant showed highly significant and positive correlation with head diameter, number of seeds per capitula, number of filled seeds per capitula and 100 seed weight at both genotypic and phenotypic levels. These seed yield per plant also possessed positive association with days to maturity, stem diameter, number of leaves per plant, leaf area at flowering, plant height, oil content and vacant inner diameter. The characters days to 50 per cent flowering, days to initiation of flower and number of unfilled seeds per capitula exhibited negative correlation with seed yield per plant. Path analysis indicated that days to 50 per cent flowering had highest positive direct effect on seed yield per plant followed by number of leaves per plant. The character days to initiation of flower exhibited high negative direct effects.

  3. Yield analysis of large capacity magnetic bubble circuits with redundancy design. [fabrication reliability

    Science.gov (United States)

    Bailey, R. F.; Reekstin, J. P.

    1974-01-01

    The fabrication yield of an on-chip modifiable redundant circuit design for a 100M bit serial shift register is evaluated. The yield model is a redundancy design in which there is a primary loop and a set of secondary loops which can be enabled/disabled without introducing blanks to the data stream. This function has a finite yield, the loop-modification yield factor, which must be greater than 0.9 to make the system more economical than the simple nonredundant design. It is further established that small loop capacities greatly degrade the yield because of the effect of the modification yield factor, while large loop capacities degrade the yield because of defects in the operating area. As the modification yield increases the optimum loop capacity decreases. An optimum value for the number of redundant loops exists for each loop capacity. Other factors that affect the yield are the garnet film and the processed circuit.

  4. Analysis of Economic Factors Affecting Stock Market

    OpenAIRE

    Xie, Linyin

    2010-01-01

    This dissertation concentrates on analysis of economic factors affecting Chinese stock market through examining relationship between stock market index and economic factors. Six economic variables are examined: industrial production, money supply 1, money supply 2, exchange rate, long-term government bond yield and real estate total value. Stock market comprises fixed interest stocks and equities shares. In this dissertation, stock market is restricted to equity market. The stock price in thi...

  5. Trait association and path coefficient analysis for yield and yield attributing traits in sesame (Sesamum indicum L.

    Directory of Open Access Journals (Sweden)

    Renuka Goudappagoudra, R. Lokesha, and A.R.G. Ranganatha

    2011-09-01

    Full Text Available Correlation and path coefficient analysis was performed in one hundred and twenty F4 families of sesame, during kharif, 2010 on ten quantitative traits: days to 50 per cent flowering, days to maturity, plant height, distance from ground to first capsule, number of branches per plant, number of capsules per plant, capsule length, number of seeds per capsule, 1000 seed weight and seed yield per plant. Seed yield per plant showed significant positive association with number of capsules, number of seeds, number of branches per plant, plant height and 1000 seed weight. The magnitude of correlation was the highest in case of number of capsules per plant(r=0.7302. Number of capsules per plant, number of seeds per capsule and 1000 seed weight had high and positive direct effect on seed yield. The indirect effect of number of capsules per plant via days to 50% flowering, plant height, number of branches per plant on seed yield was high and positive. Selection for these characters may be useful in increasing seed yield in sesame.

  6. Determinants of sovereign yield spreads during the Euro-crisis: Fundamental factors versus systemic risk

    OpenAIRE

    Klose, Jens; Weigert, Benjamin

    2012-01-01

    The intensity of the Euro-crisis was reflected by significant increases of sovereign bond yields in the troubled countries. This has launched a hot debate whether this increase can solely be attributed to fundamental factors like e.g. rescue programmes, rising budget deficits, deteriorating economic prospects or changes in the rating-status of the country, or whether a part of these growing yields is likely to represent a systemic risk, i.e. that one or more countries will drop out of the Eur...

  7. Sovereign yield spreads during the Euro-crisis: Fundamental factors versus redenomination risk

    OpenAIRE

    Klose, Jens; Weigert, Benjamin

    2013-01-01

    The intensity of the Euro-crisis was reflected by significant increases of sovereign bond yields in the troubled countries. This has launched a hot debate whether this increase can solely be attributed to fundamental factors like e.g. rescue programmes, rising budget deficits, deteriorating economic prospects or changes in the rating-status of the country, or whether a part of these growing yields is likely to represent a systemic risk, i.e. that one or more countries will drop out of the Eur...

  8. Validation of Methods for Determining Consumer Smoked Cigarette Yields from Cigarette Filter Analysis

    Directory of Open Access Journals (Sweden)

    Shepperd CJ

    2014-12-01

    Full Text Available Methods based on the analyses of cigarette filters have been used to estimate ‘tar’ and nicotine yields to smokers. These methods rely on the measurement of filtration efficiencies (FEs. However FEs may be influenced by both cigarette design features e.g., type of filter and levels of filter ventilation, and human smoking behaviour factors such as puff flow-rates and cigarette butt lengths. Two filter analysis methods are considered in our study. One is based on the analysis of whole filters using average values of FEs obtained from a range of machine smoking regimes. The other, a ‘part filter’ method, analyses a 10 mm section from the mouth end of the filter where the FE remains relatively constant irrespective of puff flow rates and butt lengths. Human puffing behaviour records were obtained from 10 smokers, each smoking six commercial cigarettes ranging from 1 mg to 12 mg ‘tar’ yields [International Standard (ISO values]. These records were used to drive a human smoke duplicator and the resulting ‘tar’ and nicotine yields obtained from duplication were compared with the estimates obtained from ‘whole’ and ‘part filter’ analysis. The results indicated that whilst both filter methods gave good correlations with nicotine and ‘tar’ yields obtained from smoke duplication, the ‘part filter’ method was less susceptible to the effect of nicotine condensation and changes in FEs and hence gave a more accurate assessment of yields than the ‘whole filter’ method.

  9. Correlation and path coefficient analysis of yield and yield component in some of broad bean (Vicia faba l. genotypes

    Directory of Open Access Journals (Sweden)

    Sharifi Peyman

    2014-01-01

    Full Text Available Faba bean is a grain legume and grown for its high protein content in the seed. It is also serves as a rotational crop which play great role in controlling disease epidemics in areas were cereal mono-cropping is abundant. Yield in faba bean, similar to the other crops, is a complex trait and constitute by many of morphological and physiological traits. This study was carried out during 2011-12 and 2012-13 in two region of Iran including Guilan and Lorestan provinces. Field experiments were conducted in a randomized complete block design with three replications and ten genotypes. The results of combined analysis of variance indicated that the studied genotypes differed significantly for all of the studied traits. The results indicated also environment effect and environment × genotype interaction effects were significant or highly significant for all of the traits. The highest seed yield were determined for genotype 1 (3159.9 and 4016.9 kg ha-1 at 2012 and 2013, respectively in Guilan and genotype 5 (495.44 kg ha-1 in Lorestan. The results of correlation analysis indicated that there were positive significant correlation coefficients between seed yield and seed length (LS, seed width (WS, pod length (PL and hundred seed weight (HSW in Guilan province at two cropping season. Path coefficient analysis indicated that traits containing number of pod per plant, number of steam per plant, pod length, seed length/width ratio and hundred seed weight had the highest positive direct effects on dry seed yield in studied faba bean genotypes. Attention should be paid to some of characters such as pod length, hundred seed weight, number of pods per plant and number of stems per plant for augmentation of seed yield and these traits could be used as selection criteria in faba bean breeding programs. These findings indicate that selection for each or full of the above traits would be accompanied by high yielding ability under such conditions. It could be

  10. Prediction of yield by digital image analysis of vine

    Directory of Open Access Journals (Sweden)

    Bešlić Zoran S.

    2014-01-01

    Full Text Available The grape yield per vine of cv. Cabernet Sauvignon (Vitis vinifera L. was evaluated on the basis of digital image processing of vine part. Digital camera was mounted on tripod and used for taking photos of 1 x 1 m portions of canopy. The Adobe Photoshop software was used to analyse image for the colour counting of the blue pixels of grape in the quadrant region. The actual yield was obtained from the photographed vines by hand harvesting of sampled portions. Linear regression was used for calculation of the correlation between blue pixels and grape weight. The relatively strong relationship between blue pixels and grape weight (R2=0.91 was obtained. Based on these results, we can recommend this simple technique for yield forecasting. [Projekat Ministarstva nauke Republike Srbije, br. TP31063

  11. Interannual and spatial variability of maple syrup yield as related to climatic factors

    Directory of Open Access Journals (Sweden)

    Louis Duchesne

    2014-06-01

    Full Text Available Sugar maple syrup production is an important economic activity for eastern Canada and the northeastern United States. Since annual variations in syrup yield have been related to climate, there are concerns about the impacts of climatic change on the industry in the upcoming decades. Although the temporal variability of syrup yield has been studied for specific sites on different time scales or for large regions, a model capable of accounting for both temporal and regional differences in yield is still lacking. In the present study, we studied the factors responsible for interregional and interannual variability in maple syrup yield over the 2001–2012 period, by combining the data from 8 Quebec regions (Canada and 10 U.S. states. The resulting model explained 44.5% of the variability in yield. It includes the effect of climatic conditions that precede the sapflow season (variables from the previous growing season and winter, the effect of climatic conditions during the current sapflow season, and terms accounting for intercountry and temporal variability. Optimal conditions for maple syrup production appear to be spatially restricted by less favourable climate conditions occurring during the growing season in the north, and in the south, by the warmer winter and earlier spring conditions. This suggests that climate change may favor maple syrup production northwards, while southern regions are more likely to be negatively affected by adverse spring conditions.

  12. Primary yield and multitranche structure in securitization issues: Explicative factors. A review

    Directory of Open Access Journals (Sweden)

    Miguel Á. Peña-Cerezo

    2016-09-01

    Full Text Available The reasons for the strong rise in the securitization phenomenon up until the start of the “subprime crisis” need to be analysed. According to many authors, they mainly stem from its offering the possibility of generating fixed yield securities with the highest rating and a low risk premium, thanks to the issues being structured in differentiated bond series, so that certain series absorb most of the risk, thus facilitating the safer or “senior” tranches having a higher rating. Accordingly, this paper reviews the literature on the factors underlying the generation of differentiated tranches in this type of issues and regarding the determining factors of the yield offered by securitization issues. It concludes that the search for more complete markets, along with the reducing of problems associated to the moral hazard, are the main reasons for the multi-tranche structuring. And given the strong influence of the number of tranches on the yield offered by the issues, the paper likewise concludes that the multitranche structures has been an efficient tool to place securitization issues with more competitive yields.

  13. PRIMARY YIELD AND MULTITRANCHE STRUCTURE IN SECURITIZATION ISSUES:EXPLICATIVE FACTORS. A REVIEW

    Directory of Open Access Journals (Sweden)

    Peña-Cerezo, Miguel A.

    2016-09-01

    Full Text Available The reasons for the strong rise in the securitization phenomenon up until the start of the subprime crisis need to be analysed. According to many authors, they mainly stem from its offering the possibility of generating fixed yield securities with the highest rating and a low risk premium, thanks to the issues being structured in differentiated bond series, so that certain series absorb most of the risk, thus facilitating the safer or senior tranches having a higher rating. Accordingly, this paper reviews the literature on the factors underlying the generation of differentiated tranches in this type of issues and regarding the determining factors ofthe yield offered by securitization issues. It concludes thatthe search for more complete markets, along with the reducing of problems associated to the moral hazard, are the main reasons for the multi-tranche structuring. And given the strong influence of the number of tranches on the yield offered by the issues, the paper likewise concludes that the multitranche structures has been an efficient tool to place securitization issues with more competitive yields.

  14. Genetic analysis of yield and yield related traits in sunflower (Helianthus annuus L. under well-watered and water-stressed conditions

    Directory of Open Access Journals (Sweden)

    Darvishzadeh Reza

    2014-01-01

    Full Text Available Drought stress is one of the factors which influence sunflower (Helianthus annuus L. production. Breeding for tolerance to drought stress has become a major focus. In the present investigation, combining ability, gene action and genetic analysis of several characteristics were studied in six pure lines of sunflower and their 15 hybrids. The materials were evaluated in two separate experiments using a randomized complete block design (RCBD with three replications in two states (well-watered and water-stressed under controlled conditions. Comparison of mean values exhibited that under water- stressed condition the average performance of sunflower genotypes were decreased for all studied traits. In well-watered condition the highest value for seed yield per plant (SY was observed in the cross 'LR4´LR25', whereas in water-stressed condition the highest value for this trait was observed in the hybrid 'C104´LR25'. Combining ability analysis revealed that most of agronomical traits such as head diameter, number of achene per head, head weight and seed yield inherited differently in stressed and non-stressed conditions. In water-stressed conditions, the non-additive effects played a more important role for controlling the number of achene per head (NA, seed yield per plant (SY, head diameter (HD, and days from flowering to physiological maturity (DFM than additive. Based on results yield improvement for water-stressed conditions requires selection under drought conditions. In well-watered condition, the cross 'LR4´C10' showed the best SCA value for seed yield per plant (SY. In water-stressed conditions, 'RHA266´C100' had the highest SCA for seed yield per plant (SY and number of achene (NA per head.

  15. Analysis of the carbon and nitrogen limitations to soybean yield

    NARCIS (Netherlands)

    Sinclair, T.R.; Wit, de C.T.

    1976-01-01

    Soybeans are hypothesized to be “self-destructive” since they apparently need to translocate large amounts of nitrogen from vegetative tissues during seed-fill to sustain seed growth. To assess the possible limitations of this characteristic on soybean seed yield, a simple, dynamic simulation model

  16. Genetic analysis of yield in peanut (Arachis hypogaea L.) using ...

    African Journals Online (AJOL)

    Jane

    2011-07-20

    Jul 20, 2011 ... L.) using mixed model of major gene plus polygene. Xinyou Zhang1,2, Suoyi ... to the genus Arachis that incorporates 69 species. The domesticated .... that, the distribution characteristics of yield in RIL population in different ...

  17. Impact of low concentration factor microfiltration on milk component recovery and Cheddar cheese yield.

    Science.gov (United States)

    Neocleous, M; Barbano, D M; Rudan, M A

    2002-10-01

    The effect of microfiltration (MF) on the composition of Cheddar cheese, fat, crude protein (CP), calcium, total solids recovery, and Cheddar cheese yield efficiency (i.e., composition adjusted yield divided by theoretical yield) was determined. Raw skim milk was microfiltered twofold using a 0.1-microm ceramic membrane at 50 degrees C. Four vats of cheese were made in one day using milk at lx, 1.26x, 1.51x, and 1.82x concentration factor (CF). An appropriate amount of cream was added to achieve a constant casein (CN)-to-fat ratio across treatments. Cheese manufacture was repeated on four different days using a randomized complete block design. The composition of the cheese was affected by MF. Moisture content of the cheese decreased with increasing MF CF. Standardization of milk to a constant CN-to-fat ratio did not eliminate the effect of MF on cheese moisture content. Fat recovery in cheese was not changed by MF. Separation of cream prior to MF, followed by the recombination of skim or MF retentate with cream resulted in lower fat recovery in cheese for control and all treatments and higher fat loss in whey when compared to previous yield experiments, when control Cheddar cheese was made from unseparated milk. Crude protein, calcium, and total solids recovery in cheese increased with increasing MF CF, due to partial removal of these components prior to cheese making. Calcium and calcium as a percentage of protein increased in the cheese, suggesting an increase in calcium retention in the cheese with increasing CF. While the actual and composition adjusted cheese yields increased with increasing MF CF, as expected, there was no effect of MF CF on cheese yield efficiency.

  18. Diallel analysis of yield and quality traits of melon fruits

    Directory of Open Access Journals (Sweden)

    Anne Katherine de Araújo Barros

    2011-01-01

    Full Text Available The purpose of this study was to estimate the general and specific combining ability of melon hybrids to identify thebest combinations. Six parents and their respective hybrids were evaluated in a complete randomized block design with threereplications. The following traits were assessed: total number of fruits, average fruit weight, yield, longitudinal diameter, transversaldiameter, flesh thickness, internal cavity size, flesh firmness, and soluble solids. The traits total fruit number, yield, flesh firmnessand soluble solids content are controlled by additive and non-additive effects, while average fruit weight, longitudinal diameter, fleshthickness, internal cavity size are controlled by additive effects. The most appropriate crosses for breeding of Cantaloupe, Honeydew, Piel del sapo, Meloa and Amarelo melon are, respectively: Gold Mine x Hy Mark, AF-646 x AF-1749, Meloa x Rochedo andAF-646 x Rochedo.

  19. Buffalos milk yield analysis using random regression models

    Directory of Open Access Journals (Sweden)

    A.S. Schierholt

    2010-02-01

    Full Text Available Data comprising 1,719 milk yield records from 357 females (predominantly Murrah breed, daughters of 110 sires, with births from 1974 to 2004, obtained from the Programa de Melhoramento Genético de Bubalinos (PROMEBUL and from records of EMBRAPA Amazônia Oriental - EAO herd, located in Belém, Pará, Brazil, were used to compare random regression models for estimating variance components and predicting breeding values of the sires. The data were analyzed by different models using the Legendre’s polynomial functions from second to fourth orders. The random regression models included the effects of herd-year, month of parity date of the control; regression coefficients for age of females (in order to describe the fixed part of the lactation curve and random regression coefficients related to the direct genetic and permanent environment effects. The comparisons among the models were based on the Akaike Infromation Criterion. The random effects regression model using third order Legendre’s polynomials with four classes of the environmental effect were the one that best described the additive genetic variation in milk yield. The heritability estimates varied from 0.08 to 0.40. The genetic correlation between milk yields in younger ages was close to the unit, but in older ages it was low.

  20. Assessing factors influencing maize yield response to nitrogen using remote sensing technologies

    Science.gov (United States)

    Krienke, Brian Theodore

    Nitrogen (N) is a limiting nutrient in maize that is an environmental issue; the result of over or asynchronous application with respect to crop N uptake. Rates are largely determined by a yield goal, which fails to account for spatial and temporal variability in N supply and grain yield. Crop canopy sensors that monitor N status of maize have been validated as a way to increase nitrogen use efficiency (NUE), and maintain yield potential by applying N in-season. Such methods are not immune to the effects of temporal variability that occur beyond the time of application, such as intense rainfall events that are conducive to N loss. To identify potential factors that influence the temporal stability of hybrid respond to N, two different experiments carried out. In the first, blocks represented a range of soil organic matter (OM) and mean relative yield (MRY) values, and received split N application at different timings. Nitrogen, OM, MRY, and timing were evaluated across years for temporal stability and influence on yield. Results showed only MRY was temporally stable; although all factors influenced yield. Sidedress application beyond V14 lost yield. In the second experiment, temporal stability of hybrid response to N (RTN) was evaluated. Hybrids selected represented a broad range of RTN. Hybrid x N interaction was significant across site years, which indicated an inability to classify hybrids based on RTN. A final experiment compared crop canopy sensors from an unmanned aerial vehicle (UAV), to collect more frequent N status of maize, and established best management practices of how to utilize an active crop canopy sensor mounted to a UAV. Results showed that an active crop canopy sensor mounted on a UAV is a suitable platform to replace or augment current methods of acquiring N status of maize canopies. The collective result of experiments showed a lack in temporal stability that exists in terms of N management that is largely influence by local site and seasonal

  1. Effect of transmembrane pressure on Factor VIII yield in ATF perfusion culture for the production of recombinant human Factor VIII co-expressed with von Willebrand factor.

    Science.gov (United States)

    Kim, Seung-Chul; An, Sora; Kim, Hyun-Ki; Park, Beom-Soo; Na, Kyu-Heum; Kim, Byung-Gee

    2016-10-01

    In this study, we evaluated three cell retention devices, an alternating tangential flow (ATF) system, a spin-filter, and a Centritech Lab III centrifuge, for the production of recombinant human Factor VIII co-expressed with von Willebrand factor. From the results, it was found that the FVIII activity in bioreactor was significantly higher in the ATF perfusion culture than two other perfusion cultures. Moreover, the FVIII activity yield was unexpectedly low in the ATF perfusion culture. We have, therefore, studied the reasons for this low FVIII activity yield. It was revealed that the inactivation and the surface adsorption of FVIII onto the harvest bag were not the main reasons for the low yield in the ATF perfusion culture. The FVIII activity yield was not increased by the use of a hollow fiber filter with 0.5 μm pore size instead of 0.2 μm pore size. Additionally, the retention of FVIII molecules by the hollow fiber filter was a dominant factor in the low FVIII activity yield in the ATF perfusion culture. We demonstrated that FVIII yield was significantly improved by controlling transmembrane pressure (TMP) across the hollow fiber filter membrane. Taken together, these results suggest that TMP control could be an efficient method for the enhancement of FVIII yield in an ATF perfusion culture.

  2. Slope Safety Factor Calculations With Non-Linear Yield Criterion Using Finite Elements

    DEFF Research Database (Denmark)

    Clausen, Johan; Damkilde, Lars

    2006-01-01

    The factor of safety for a slope is calculated with the finite element method using a non-linear yield criterion of the Hoek-Brown type. The parameters of the Hoek-Brown criterion are found from triaxial test data. Parameters of the linear Mohr-Coulomb criterion are calibrated to the same triaxial...... are carried out at much higher stress levels than present in a slope failure, this leads to the conclusion that the use of the non-linear criterion leads to a safer slope design...

  3. Slope Safety Factor Calculations With Non-Linear Yield Criterion Using Finite Elements

    DEFF Research Database (Denmark)

    Clausen, Johan Christian; Damkilde, Lars

    2006-01-01

    The factor of safety for a slope is calculated with the finite element method using a non-linear yield criterion of the Hoek-Brown type. The parameters of the Hoek-Brown criterion are found from triaxial test data. Parameters of the linear Mohr-Coulomb criterion are calibrated to the same triaxial...... are carried out at much higher stress levels than present in a slope failure, this leads to the conclusion that the use of the non-linear criterion leads to a safer slope design....

  4. Slope Safety Factor Calculations With Non-Linear Yield Criterion Using Finite Elements

    DEFF Research Database (Denmark)

    Clausen, Johan Christian; Damkilde, Lars

    2006-01-01

    The factor of safety for a slope is calculated with the finite element method using a non-linear yield criterion of the Hoek-Brown type. The parameters of the Hoek-Brown criterion are found from triaxial test data. Parameters of the linear Mohr-Coulomb criterion are calibrated to the same triaxial...... are carried out at much higher stress levels than present in a slope failure, this leads to the conclusion that the use of the non-linear criterion leads to a safer slope design....

  5. Slope Safety Factor Calculations With Non-Linear Yield Criterion Using Finite Elements

    DEFF Research Database (Denmark)

    Clausen, Johan; Damkilde, Lars

    2006-01-01

    The factor of safety for a slope is calculated with the finite element method using a non-linear yield criterion of the Hoek-Brown type. The parameters of the Hoek-Brown criterion are found from triaxial test data. Parameters of the linear Mohr-Coulomb criterion are calibrated to the same triaxial...... are carried out at much higher stress levels than present in a slope failure, this leads to the conclusion that the use of the non-linear criterion leads to a safer slope design...

  6. Yield and Cost Analysis or 3D Stacked ICs

    NARCIS (Netherlands)

    Taouil, M.

    2014-01-01

    3D stacking is an emerging technology promising many benefits such as low latency between stacked dies, reduced power consumption, high bandwidth communication, improved form factor and package volume density, heterogeneous integration, and low-cost manufacturing. However, it requires modification o

  7. Polarization observables in the process d + p {yields} d+ X and electromagnetic form factors of N {yields} N* transitions

    Energy Technology Data Exchange (ETDEWEB)

    Rekalo, M.P.; Tomasi-Gustafsson, E.

    1996-12-31

    We analyze the properties of the inclusive d + p-reactions, with particular interest in the domain of nucleonic resonances excitation. The calculated cross section and polarization observables show that it is possible to disentangle the different reaction mechanisms ({omega}-,{sigma}-, n- exchange) and bring new information about the electromagnetic form factors of the deuteron as well as of the nucleonic resonances excitation. Existing data on the tensor analyzing power are in agreement with the predictions based on the {omega}-exchange model. (authors). 18 refs.

  8. Factor analysis of multivariate data

    Digital Repository Service at National Institute of Oceanography (India)

    Fernandes, A.A.; Mahadevan, R.

    A brief introduction to factor analysis is presented. A FORTRAN program, which can perform the Q-mode and R-mode factor analysis and the singular value decomposition of a given data matrix is presented in Appendix B. This computer program, uses...

  9. Factor Analysis of Intern Effectiveness

    Science.gov (United States)

    Womack, Sid T.; Hannah, Shellie Louise; Bell, Columbus David

    2012-01-01

    Four factors in teaching intern effectiveness, as measured by a Praxis III-similar instrument, were found among observational data of teaching interns during the 2010 spring semester. Those factors were lesson planning, teacher/student reflection, fairness & safe environment, and professionalism/efficacy. This factor analysis was as much of a…

  10. Factor analysis and missing data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2000-01-01

    The authors study the estimation of factor models and the imputation of missing data and propose an approach that provides direct estimates of factor weights without the replacement of missing data with imputed values. First, the approach is useful in applications of factor analysis in the presence

  11. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, Ph.K. (Illinois Univ., Urbana (USA))

    1982-01-01

    A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors.

  12. Reaction of simple sterile sugar beet hybrids to regulated environmental factors for sugar yield

    Directory of Open Access Journals (Sweden)

    М. О. Корнєєва

    2014-03-01

    Full Text Available Sugar yield, an important indicator, is resulting from interaction of two components: the yield and sugar content, both they are controlled by polygenes, and influenced significantly by environment. A.V. Kilchevskyi and L.V. Hotyliova pointed to the fact that in breeding, contrary to evolution, stabilizing forms are dominated by driving ones, which determine the growth response to regulated factors and decreased resistance to non-regulated environmental factors [1]. A relevant breeding trend is to create the genotypes adequate with certain technologies, so to say «low input variety high input variety» i.e. varieties with low and high energy contribution to technology. From this perspective, selection of stable in their manifestation lines against the analyzing backgrounds has become an important element of the breeding process [2]. Home scientists, such as A.L. Mazmulov and M.S. Hrytsyk have contributed greatly to the development and application of the agro-backgrounds [3, 4].

  13. Correlation and path coefficient analysis for protein yield in confectionary sunflower (Helianthus annuus L.

    Directory of Open Access Journals (Sweden)

    Hladni Nada

    2015-01-01

    Full Text Available The most important criteria for introducing new confectionary hybrids into the production is high protein yield. Path coefficient analysis was used to obtain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed yield, kernel protein content, mass of 1000 seeds, kernel ratio and hull ratio on protein yield. The research was conducted during three vegetation seasons, on 22 experimental confectionary sunflower hybrids created in the breeding program at the Institute of Field and Vegetable Crops. Strong and very strong correlations were found among the largest number of examined traits. A weak negative interdependence was determined between kernel oil content, kernel protein content, mass of 1000 seeds, hull ratio, and protein yield using the analysis of simple correlation coefficients. Positive but weak correlation was determined between protein yield and seed oil content, and kernel ratio. Very strong positive correlation was determined between protein yield and seed yield (0.468**. The seed oil content had a very strong direct negative effect on protein yield (DE=-0.734**. The mass of 1000 seeds had a weak negative direct effect on protein yield. Kernel protein content and kernel oil content demonstrated a weak direct positive effect on protein yield. Path coefficient analysis of protein yield showed a very strong positive direct effect of kernel ratio (DE=1.340**, seed yield (DE=0.657** and hull ratio (DE=0.992*. These findings confirm the effect of seed yield, kernel ratio, and hull ratio on protein yield, and their importance as the selection criteria in confectionary sunflower breeding. [Projekat Ministarstva nauke Republike Srbije, br. 31025: Development of new varieties and production technology improvement of oil crops for different purposes

  14. Closing the cassava yield gap: an analysis from small-holder farms in East Africa

    NARCIS (Netherlands)

    Fermont, van A.M.; Asten, van P.J.A.; Tittonell, P.A.; Wijk, van M.T.; Giller, K.E.

    2009-01-01

    Cassava yields in Africa are small and it remains unclear which factors most limit yields. Using a series of farm surveys and on-farm and on-station trials in Uganda and western Kenya, we evaluated the importance of abiotic, biotic and associated crop management constraints for cassava production in

  15. Simulation of corn yields and parameters uncertainties analysis in Hebei and Sichuang, China

    Science.gov (United States)

    Fu, A.; Xue, Y.; Hartman, M. D.; Chandran, A.; Qiu, B.; Liu, Y.

    2016-12-01

    Corn is one of most important agricultural production in China. Research on the impacts of climate change and human activities on corn yields is important in understanding and mitigating the negative effects of environmental factors on corn yields and maintaining the stable corn production. Using climatic data, including daily temperature, precipitation, and solar radiation from 1948 to 2010, soil properties, observed corn yields, and farmland management information, corn yields in Sichuang and Hebei Provinces of China in the past 63 years were simulated using the Daycent model, and the results was evaluated using Root mean square errors, bias, simulation efficiency, and standard deviation. The primary climatic factors influencing corn yields were examined, the uncertainties of climatic factors was analyzed, and the uncertainties of human activity parameters were also studied by changing fertilization levels and cultivated ways. The results showed that: (1) Daycent model is capable to simulate corn yields in Sichuang and Hebei provinces of China. Observed and simulated corn yields have the similar increasing trend with time. (2) The minimum daily temperature is the primary factor influencing corn yields in Sichuang. In Hebei Province, daily temperature, precipitation and wind speed significantly affect corn yields.(3) When the global warming trend of original data was removed, simulated corn yields were lower than before, decreased by about 687 kg/hm2 from 1992 to 2010; When the fertilization levels, cultivated ways were increased and decreased by 50% and 75%, respectively in the Schedule file in Daycent model, the simulated corn yields increased by 1206 kg/hm2 and 776 kg/hm2, respectively, with the enhancement of fertilization level and the improvement of cultivated way. This study provides a scientific base for selecting a suitable fertilization level and cultivated way in corn fields in China.

  16. How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis

    NARCIS (Netherlands)

    Grassini, P.; Bussel, van L.G.J.; Wart, van J.; Wolf, J.; Claessens, L.; Yang, H.; Boogaard, H.L.; Groot, de H.L.E.; Ittersum, van M.K.; Cassman, K.G.

    2015-01-01

    Numerous studies have been published during the past two decades that use simulation models to assesscrop yield gaps (quantified as the difference between potential and actual farm yields), impact of climatechange on future crop yields, and land-use change. However, there is a wide range in quality

  17. Correlation and path coefficient analysis for protein yield in confectionary sunflower (Helianthus annuus L.)

    OpenAIRE

    Hladni Nada; Miklič Vladimir; Mijić Anto; Jocić Siniša; Miladinović Dragana

    2015-01-01

    The most important criteria for introducing new confectionary hybrids into the production is high protein yield. Path coefficient analysis was used to obtain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed yield, kernel protein content, mass of 1000 seeds, kernel ratio and hull ratio) on protein yield. The research was conducted during three vegetation seasons, on 22 experimental confectionary sunflow...

  18. The addition of submergence-tolerant Sub1 gene into high yielding MR219 rice variety and analysis of its BC2F3 population in terms of yield and yield contributing characters to select advance lines as a variety

    Directory of Open Access Journals (Sweden)

    Fahim Ahmed

    2016-09-01

    Full Text Available A cross was made between MR219 (high yielding but submergence intolerant and Swarna-Sub1 (submergence tolerant to produce submergence-tolerant rice variety using the marker-assisted backcrossing (MABC method to protect the farmers of low-lying land from flash floods during rain. Knowledge of yield and yield contributing factors plays a vital role in the selection process of a variety. This experim ent was designed to determine the genetic diversity among recently produced different lines of BC2F3 population and also to compare all the lines with MR219 to find the best one. Agronomical, yield and yield contributing data were taken, while genotypic and phenotypic coefficients, variance components and heritability were estimated. Introgression of the target gene, Sub1, was done using tightly linked marker, and also background recovery was measured using simple sequence repeat (SSR markers in different generations. The observed recurrent parent genome (RPG recovery of BC2F2 generation was 95.37%, which indicates high-level similarity between the recurrent parent (MR219 and the resulting lines. Thirty newly developed lines of BC2F3 population, resulting backcross of MR219 and Swarna-Sub1, were planted with four replications following randomised complete block design (RCBD. Newly developed lines were grouped into four clusters based on traits with UPGMA dendrogram and cluster analysis to select the 10 best plants. This study will help the future researchers to select the best plants of a breeding programme after introgression of a gene considering phenotype performances to develop new varieties.

  19. A wheat CCAAT box-binding transcription factor increases the grain yield of wheat with less fertilizer input.

    Science.gov (United States)

    Qu, Baoyuan; He, Xue; Wang, Jing; Zhao, Yanyan; Teng, Wan; Shao, An; Zhao, Xueqiang; Ma, Wenying; Wang, Junyi; Li, Bin; Li, Zhensheng; Tong, Yiping

    2015-02-01

    Increasing fertilizer consumption has led to low fertilizer use efficiency and environmental problems. Identifying nutrient-efficient genes will facilitate the breeding of crops with improved fertilizer use efficiency. This research performed a genome-wide sequence analysis of the A (NFYA), B (NFYB), and C (NFYC) subunits of Nuclear Factor Y (NF-Y) in wheat (Triticum aestivum) and further investigated their responses to nitrogen and phosphorus availability in wheat seedlings. Sequence mining together with gene cloning identified 18 NFYAs, 34 NFYBs, and 28 NFYCs. The expression of most NFYAs positively responded to low nitrogen and phosphorus availability. In contrast, microRNA169 negatively responded to low nitrogen and phosphorus availability and degraded NFYAs. Overexpressing TaNFYA-B1, a low-nitrogen- and low-phosphorus-inducible NFYA transcript factor on chromosome 6B, significantly increased both nitrogen and phosphorus uptake and grain yield under differing nitrogen and phosphorus supply levels in a field experiment. The increased nitrogen and phosphorus uptake may have resulted from the fact that that overexpressing TaNFYA-B1 stimulated root development and up-regulated the expression of both nitrate and phosphate transporters in roots. Our results suggest that TaNFYA-B1 plays essential roles in root development and in nitrogen and phosphorus usage in wheat. Furthermore, our results provide new knowledge and valuable gene resources that should be useful in efforts to breed crops targeting high yield with less fertilizer input.

  20. AMMI Analysis of Yields and Oil Content in Some Linseed (Linum ...

    African Journals Online (AJOL)

    interaction (GEI) among the varieties for yield and oil content. The experiment ... specific GEI terms, and for its ability to extract genotype and environment main effects. ...... interactions analysis of yield performance in bread wheat varieties across environments. ... MSc thesis, Alemaya University, Alemaya, Ethiopia. Taye G.

  1. Analysis on characteristics and influential factors of grain yield fluctuation in China based on empirical mode decomposition%基于经验模态分解的中国粮食单产波动特征及影响因素

    Institute of Scientific and Technical Information of China (English)

    刘忠; 黄峰; 李保国

    2015-01-01

    。当前中国的农业已经进入了新的发展阶段,农业政策的调整势在必行,该研究结果可为新阶段农业宏观调控政策的制定提供决策依据。%There is an important significance for China’s food security to explore the fluctuation characteristics and influence factors of grain output per sown area (hereinafter referred to as grain yield), and then to take corresponding measures to stabilize and improve the grain yield level. In this paper, the time-series yields of grain and main crops (rice, wheat and maize) from 1978 to 2012 in China were decomposed using empirical mode decomposition (EMD) method, and then multi-scale fluctuation characteristics and its main influence factors of grain yield were analyzed. The results showed: 1) the time series of grain yield could be decomposed into two intrinsic mode functions (IMF) and a residual item. The residual item denotes a slow and steady rising trend in grain yield which is dominated by the technological progress. The IMF1 and IMF2 represent a short-term fluctuation in about 4-yr cycle and a medium-term fluctuation in about 9-yr cycle, which respectively reflect the influence of meteorological and policy factors on grain yields according to the analysis of grain production system. The variance contribution rate of the residual item was greatly larger than that of the IMFs, which means the upward trend in grain yield was more pronounced than fluctuations. 2) Fluctuation of trend yield of grain was distinct before and after 1997: fast rise with an average annual growth rate of 2.28% before 1997 and slow rise with an average annual growth rate of only 0.69% after 1997. The change of trend yield was similar between rice and grain, but the former seemed to rise more slowly after 1997. For wheat and maize, the trend yield was still increased obviously although the growing rate had been significantly slowing down after 1997. 3) The IMF2 included 3 complete cycles (1979-1988, 1989-1993, and

  2. Factors affecting the yield of bio-oil from the pyrolysis of coconut shell.

    Science.gov (United States)

    Gao, Yun; Yang, Yi; Qin, Zhanbin; Sun, Yi

    2016-01-01

    Coconut is a high-quality agricultural product of the Asia-Pacific region. In this paper, coconut shell which mainly composed of cellulose, hemicellulose, lignin was used as a raw material for coconut shell oil from coconut shell pyrolysis. The influence of the pyrolysis temperature, heating rate and particle size on coconut oil yield was investigated, and the effect of heating rate on coconut oil components was discussed. Experimental results show that the maximum oil yield of 75.74 wt% (including water) were obtained under the conditions that the final pyrolysis temperature 575 °C, heating rate 20 °C/min, coconut shell diameter about 5 mm. Thermal gravimetric analysis was used and it can be seen that coconut shell pyrolysis process can be divided into three stages: water loss, pyrolysis and pyrocondensation. The main components of coconut-shell oil are water (about 50 wt%), aromatic, phenolic, acid, ketone and ether containing compounds.

  3. Determination of the {eta}-transition form factor in the {gamma}p{yields}p{eta}{yields}p{gamma}e{sup +}e{sup -} reaction

    Energy Technology Data Exchange (ETDEWEB)

    Berghaeuser, H., E-mail: henning.berghaeuser@exp2.physik.uni-giessen.de [II. Physikalisches Institut, Universitaet Giessen, Giessen (Germany); Metag, V. [II. Physikalisches Institut, Universitaet Giessen, Giessen (Germany); Starostin, A. [University of California at Los Angeles, Los Angeles, CA (United States); Bartolome, P. Aguar; Akasoy, L.K. [Institut fuer Kernphysik, Johannes Gutenberg-Universitaet Mainz, Mainz (Germany); Annand, J.R.M. [Department of Physics and Astronomy, University of Glasgow, Glasgow (United Kingdom); Arends, H.J. [Institut fuer Kernphysik, Johannes Gutenberg-Universitaet Mainz, Mainz (Germany); Bantawa, K. [Kent State University, Kent, OH (United States); Beck, R. [Helmholtz-Institut fuer Strahlen- und Kernphysik, Universitaet Bonn, Bonn (Germany); Institut fuer Kernphysik, Johannes Gutenberg-Universitaet Mainz, Mainz (Germany); Bekrenev, V. [Lebedev Physical Institute, Moscow (Russian Federation); Braghieri, A. [INFN Sezione di Pavia, Pavia (Italy); Branford, D. [School of Physics, University of Edinburgh, Edinburgh (United Kingdom); Briscoe, W.J. [Center for Nuclear Studies, George Washington University, Washington, DC (United States); Brudvik, J. [University of California at Los Angeles, Los Angeles, CA (United States); Cherepnya, S.; Demissie, B.T. [Center for Nuclear Studies, George Washington University, Washington, DC (United States); Downie, E.J. [Institut fuer Kernphysik, Johannes Gutenberg-Universitaet Mainz, Mainz (Germany); Drexler, P. [II. Physikalisches Institut, Universitaet Giessen, Giessen (Germany); Dieterle, M. [Institut fuer Physik, Universitaet Basel, Basel (Switzerland); Fil' kov, L.V. [Lebedev Physical Institute, Moscow (Russian Federation)

    2011-07-27

    The Dalitz decay {eta}{yields}{gamma}e{sup +}e{sup -} has been measured using the combined Crystal Ball and TAPS photon detector setup at the electron accelerator MAMI-C. Compared to the most recent transition form-factor measurement in the e{sup +}e{sup -} channel, statistics have been improved by one order of magnitude. The e{sup +}e{sup -} invariant mass distribution shows a deviation from the QED prediction for a point-like particle, which can be described by a form-factor. Using the usual monopole transition form-factor parameterization, F(m{sup 2})=(1-m{sup 2}/{Lambda}{sup 2}){sup -1}, a value of {Lambda}{sup -2}=(1.92{+-}0.35(stat){+-}0.13(syst)) GeV{sup -2} has been determined. This value is in good agreement with a recent measurement of the {eta} Dalitz decay in the {mu}{sup +}{mu}{sup -} channel and with recent form-factor calculations. An improved value of the branching ratio BR({eta}{yields}{gamma}e{sup +}e{sup -})=(6.6{+-}0.4(stat){+-}0.4(syst)).10{sup -3} has been determined.

  4. First course in factor analysis

    CERN Document Server

    Comrey, Andrew L

    2013-01-01

    The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of

  5. Factors controlling regional grain yield in China over the last 20 years

    NARCIS (Netherlands)

    wang, Xiaobin; Cai, D.X.; Grant, C.; Hoogmoed, W.B.; Oenema, O.

    2015-01-01

    Food production is highly dependent on regional yields of crops. Regional differences in grain yields could be due to fertilizer management and climate variability. Here, we analyze trends of grain yields in North China, Northeast China, East China, and Central and Southwest China from 1992 to 2012,

  6. Factors controlling regional grain yield in China over the last 20 years

    NARCIS (Netherlands)

    wang, Xiaobin; Cai, D.X.; Grant, C.; Hoogmoed, W.B.; Oenema, O.

    2015-01-01

    Food production is highly dependent on regional yields of crops. Regional differences in grain yields could be due to fertilizer management and climate variability. Here, we analyze trends of grain yields in North China, Northeast China, East China, and Central and Southwest China from 1992 to 2012,

  7. Correlation and Path Coefficient Analysis of Seed Yield and Yield Components in Some Faba Bean Genotypes in Sulaimani Region

    Directory of Open Access Journals (Sweden)

    Sherwan E. Tofiq

    2016-06-01

    Full Text Available The present study was conducted at Agricultural Research Center of Bakrajo, Sulaimani, Iraq during three successive seasons 2011-2014. This research was conducted using seven faba bean cultivars namely (Zaina, Seher, Yieldiz, Civilla, Luz di Otono, Tanyari and local. The following measurements and observations were made: 100 seed weight, first node height, number of seeds/plant, number of seeds/pod, pod length, number of pods/plant and seed yield. The results indicated that highly significant and negative correlations were presented between 100 seed weight and seed yield, whereas, significant and positive correlations were presented between the numbers of seed/plant and seed yield at the second season. In addition, the results of the third season indicate that the number of seeds/plant correlated significantly and positively with seed yield, and the number of seeds/pod correlated significantly and negatively with seed yield, whereas, number of pods/plant correlated high significantly and positively with the seed yield. The character first node height showed maximum direct effect value in seed yield at the first season and the third season, while number of pods/plant showed maximum direct effect value in seed yield at the second season.

  8. Correlation, Stepwise Regressionand Path Analysis of Traits Affecting Grain Yield of canola (Brassica napus L

    Directory of Open Access Journals (Sweden)

    Mehdi Soltani Hoveize

    2016-09-01

    Full Text Available The efficiency of a breeding program depends mainly on the direction of the correlation between yield and its components and the relative importance of each component involved in contributing to seed yield. This study was conducted to analysis the correlation among seed yield and some important traits in seventhin spring canola (Brassica napus L. cultivars at the farm in safi abad, from 2014 to 2015. A randomized complete block design with four replications was used. Results analysis of variance showed that highly significant differences were detected among cultivars for all studied traits. The correlation coefficients among the seed yield and 1000-seed weight, number of seed per pod, duration of flowering, and days to physiological maturity were positive and significant (0.61**, 0.72**, 0.66** and 0.65**, respectively. According to stepwise regression seed yield trait is cosidered by dependent variable and other traits by independent variables. Model determination coefficient is R2=0.897. The most of determination coefficients there were for duration of flowering, number of seed per pod and days to physiological maturity (0.51, 0.54 and 0.38, respectively. Path coefficient analysis revealed that the number of seed per pod, duration of flowering and days to physiological maturity had the largest direct effects on the seed yield, its seams possible to use there traits as a selection criteria in breeding programs for improve seed yield of spring rapeseed cultivars.

  9. Multivariate Analysis of Grain Yield and Its Attributing Traits in Different Maize Hybrids Grown under Heat and Drought Stress.

    Science.gov (United States)

    Ali, Fawad; Kanwal, Naila; Ahsan, Muhammmad; Ali, Qurban; Bibi, Irshad; Niazi, Nabeel Khan

    2015-01-01

    This study was carried out to evaluate F1 single cross-maize hybrids in four crop growing seasons (2010-2012). Morphological traits and physiological parameters of twelve maize hybrids were evaluated (i) to construct seed yield equation and (ii) to determine grain yield attributing traits of well-performing maize genotype using a previously unexplored method of two-way hierarchical clustering. In seed yield predicting equation photosynthetic rate contributed the highest variation (46%). Principal component analysis data showed that investigated traits contributed up to 90.55% variation in dependent structure. From factor analysis, we found that factor 1 contributed 49.6% variation (P < 0.05) with primary important traits (i.e., number of leaves per plant, plant height, stem diameter, fresh leaves weight, leaf area, stomata conductance, substomata CO2 absorption rate, and photosynthetic rate). The results of two-way hierarchical clustering demonstrated that Cluster III had outperforming genotype H12 (Sultan × Soneri) along with its most closely related traits (photosynthetic rate, stomata conductance, substomata CO2 absorption rate, chlorophyll contents, leaf area, and fresh stem weight). Our data shows that H12 (Sultan × Soneri) possessed the highest grain yield per plant under environmentally stress conditions, which are most likely to exist in arid and semiarid climatic conditions, such as in Pakistan.

  10. Transformation, evaluation of GTGene and multivariate genetic analysis for morpho-physiological and yield attributing traits in Zea mays

    Directory of Open Access Journals (Sweden)

    Aaliya Khadija

    2016-01-01

    Full Text Available Maize is the 3rd major crop grown all over the world that fulfills the needs of millions of people. Various biotic and abiotic factors caused reduction in grain yield of maize, among them weeds show most adverse effects. Objective of this study was to develop glyphosate resistance maize for developing maize hybrids and synthetic varieties with high grain and fodder yield potential. Glyphosate is a broad spectrum herbicide and resistance of crop against the herbicide, allows post emergence application, which otherwise is impossible. Higher GTG crude protein (479.94μg/g was recorded for CIL 194-975 plant. The plant CIL 194-1786 showed higher expression level of GTG protein, indicated that transformation efficiency was better for line CIL-194 than CIL-123. GTGene stably integrated to the genome of the maize lines CIL-194 and CIL-123, these transformed lines showed more ability to cope with herbicides as compared with non-transformed lines in greenhouse and field trials. The transgenic lines were sown in field and data was recorded for various morpho-physiological, grain, fodder yield and quality traits. Data was statistically analyzed to check significance of results at <0.05% probability level. It was concluded from heritability, genetic advance, stepwise multiple linear regression, principle component and factor analysis that the selection on the basis of grain yield, green fodder yield, stem diameter, cob weight, stomata conductance, chlorophyll contents, photosynthetic rate, cob length, grain protein, grain oil, embryo percentage and grain starch may be fruitful keeping in view as the major contributing traits to improve crop yield and production. It was suggested that the transgenic lines for glyphosate resistance may be used to develop transgenic hybrids and synthetic varieties with higher grain yield with high quality.

  11. Embracing the emerging precision agriculture technologies for site-specific management of yield-limiting factors.

    Science.gov (United States)

    Melakeberhan, H

    2002-09-01

    Precision agriculture (PA) is providing an information revolution using Global Positioning (GPS) and Geographic Information (GIS) systems and Remote Sensing (RS). These technologies allow better decision making in the management of crop yield-limiting biotic and abiotic factors and their interactions on a site-specific (SSM) basis in a wide range of production systems. Characterizing the nature of the problem(s) and public education are among the challenges that scientists, producers, and industry face when adapting PA technologies. To apply SSM, spatio-temporal characteristics of the problem(s) need to be determined and variations within a field demonstrated. Spatio-temporal characteristics of a given pathogen or pest problem may be known but may not be the only or primary cause of the problem. Hence, exact cause-and-effect relationships need to be established by incorporating GIS, GPS, and RS-generated data as well as possible interactions. Exploiting the potential of PA technologies in sustainable ways depends on whether or not we first ask ''Are we doing the right thing?'' (strategic) as opposed to ''Are we doing it right?'' (tactical).

  12. Optimisation of the Factor VIII yield in mammalian cell cultures by reducing the membrane bound fraction

    DEFF Research Database (Denmark)

    Kolind, Mille Petersen; Nørby, Peder Lisby; Berchtold, Martin Werner

    2011-01-01

    and forms the tenase complex together with clotting Factor IX. In vitro, during serum free production of recombinant FVIII (rFVIII), production cells also expose PS, and since vWF is not present to hinder interaction of secreted rFVIII with PS, rFVIII is partly associated with the cell membrane...... of active membrane bound rFVIII to the culture medium. Moreover, the attachment of rFVIII to cell membranes of un-transfected HEK293 cells was studied in the presence of compounds that competes for interactions between rFVIII and PS. Competitive assays between iodinated rFVIII (¹²5I-rFVIII) and annexin V...... or ortho-phospho-L-serine (OPLS) demonstrated that annexin V and OPLS were able to reduce the membrane bound fraction of rFVIII by 70% and 30%, respectively. Finally, adding OPLS to CHO cells stably expressing FVIII increased the yield by 50%. Using this new knowledge, the recovery of rFVIII could...

  13. Establishment of forskolin yielding transformed cell suspension cultures of Coleus forskohlii as controlled by different factors.

    Science.gov (United States)

    Mukherjee, S; Ghosh, B; Jha, S

    2000-01-07

    Suspension cultures derived from gall calli which were obtained following infection with Agrobacterium tumefaciens (C58) were established in Coleus forskohlii. Cell line selection following single cell cloning or cell aggregate cloning was carried out to select cell lines capable of fast growth and for producing high level of forskolin. A fast growing cell line (GSO-5/7) thus selected was found to accumulate 0.021% forskolin in 42 days. The effect of cultural conditions on cell growth was studied to identify factors influencing biomass yield. Cell growth in suspension was found to be influenced significantly by carbon source, initial cell density and light or dark condition. Optimal cell growth (20 fold increase in biomass in a 42 day period) was obtained when the cells were grown in dark condition in B5O media containing 3% sucrose as sole carbon source with an initial cell density of 1.5 x 10(5) cells per ml. Forskolin accumulation was maximum (0.021%) in the stationary phase of cell growth. These suspension cultures showed continuous and stable production of forskolin.

  14. Differential expression pattern of rubber elongation factor (REF) mRNA transcripts from high and low yielding clones of rubber tree (Hevea brasiliensis Muell. Arg.).

    Science.gov (United States)

    Priya, P; Venkatachalam, P; Thulaseedharan, A

    2007-10-01

    In Hevea tree, rubber elongation factor (REF) is a key gene involved in rubber biosynthesis. Since the immaturity period for Hevea is 6 years, identification of molecular marker for latex yield potential will be beneficial for early selection of high yielding clones. The main objective of this research is to study the expression pattern of the REF gene in contrasting latex yield rubber clones (high and low yielding) by Northern blot as well as RT-PCR analysis. Accumulation of REF mRNA transcripts was significantly higher in latex cells compared to other cells of seedlings and mature Hevea trees. Northern results revealed that the level of REF gene expression in latex cells of high yielding rubber clones was significantly higher than in low yielders. According to RT-PCR results, the abundance of REF mRNA transcripts in latex cells was fivefold higher in the RRII105 clone, one of the most high yielding rubber clones. It is evident from the results that both tapping and ethephon treatment had a direct effect on induction of REF gene expression. Results demonstrate a positive correlation between REF gene expression pattern and latex yield.

  15. Correlation and path coefficient analysis for yield and its components in vegetable soybean

    Directory of Open Access Journals (Sweden)

    Teerawat Sarutayophat

    2012-07-01

    Full Text Available The associations of yield and its components offer important information in breeding plants. A study was conductedat the experimental field of the Faculty of Agricultural Technology, King Mongkut’s Institute of Technology Ladkrabang,Bangkok on 22 genotypes of the vegetable soybean to determine the association of yield and its components. The associationwas analyzed by correlation coefficient, and further subjected by path coefficient analysis to estimate direct and indirecteffects of each character on pod yield. Positive and significant correlation were found between the plant height and numberof marketable pods/plant (0.821**, plant height and marketable pod yield (0.520*, and number of marketable pods/plant andmarketable pod yield (0.822**. Negative and significance was determined between the plant height and green pod weight(-0.620**, and number of marketable pods/plant and green pod weight (-0.588**. Direct effects of the number of marketablepods/plant and green pod weight on marketable pod yield were positive and significant with path coefficients of 1.310** and0.707**, respectively. Indirect effect of the plant height on marketable pod yield through its association with number ofmarketable pods/plant was positive and significant (1.075**. The results of this study suggested that the number of marketablepods/plant, green pod weight and plant height were important characters that should be taken into account as selectioncriteria in improving marketable pod yield of the vegetable soybean.

  16. Application of geometric midline yield criterion to analysis of three-dimensional forging

    Institute of Scientific and Technical Information of China (English)

    ZHAO De-wen; WANG Gen-ji; LIU Xiang-hua; WANG Guo-dong

    2008-01-01

    A kinematically admissible continuous velocity field was proposed for the analysis of three-dimensional forging. The linear yield criterion expressed by geometric midline of error triangle between Tresca and Twin shear stress yield loci on the π-plane, called GM yield criterion for short, was firstly applied to analysis of the velocity field for the forging. The analytical solution of the forging force with the effects of external zone and bulging parameter is obtained by strain rate inner product. Compression tests of pure lead are performed to compare the calculated results with the measured ones. The results show that the calculated total pressures are higher than the measured ones whilst the relative error is no more than 9.5%. It is implied that the velocity field is reasonable and the geometric midline yield criterion is available. The solution is still an upper-bound one.

  17. CORRELATION AND PATH ANALYSIS OF SEED YIELD AND YIELD CONTRIBUTING COMPONENTS OF BLACKGRAM ( VIGNA MUNGO L. HEPPER UNDER RAINFED CONDITION FROM ANDHRA PRADESH, INDIA

    Directory of Open Access Journals (Sweden)

    G. Vijay Kumar

    2014-09-01

    Full Text Available Correlation coefficient and path analysis studies werecarried out with seventeen parents (fourteen lines and three testers resulting 42 F1crosses for fifteen yield contributing component characters. The phenotypic and genotypic correlation analysis revealed that seed yield was highly significantly and positively correlated with number of branches, number of clusters, number of pods per plant, number of seeds per plant pod weight, total biomass and also highly significantly and positively correlated among themselves. Path coefficient analysis for seed yield revealed that significant phenotypic and genotypic direct effect with seeds per plant, 100 seed weight, harvest index, pod weight and number of clusters per plant. Hence selection for these characters may be carried out in the field and lab for overall yield improvement in blackgram.

  18. Transforming Rubrics Using Factor Analysis

    Science.gov (United States)

    Baryla, Ed; Shelley, Gary; Trainor, William

    2012-01-01

    Student learning and program effectiveness is often assessed using rubrics. While much time and effort may go into their creation, it is equally important to assess how effective and efficient the rubrics actually are in terms of measuring competencies over a number of criteria. This study demonstrates the use of common factor analysis to identify…

  19. Productivity, Profitability and Resource Use Efficiency: A Comparative Analysis between Conventional and High Yielding Rice in Rajbari District, Bangladesh

    Directory of Open Access Journals (Sweden)

    Md. Yahia Bapari

    2016-10-01

    Full Text Available The study was analyzed the determinants, costs and benefits and resources allocation of both conventional and high yielding rice cultivation over the Rajbari district of Bangladesh. Data were accumulated from 300 regular rice growers of conventional and high yielding varieties and random sampling technique was applied for selecting the respondents from the study area from which information was collected through pre-tested questionnaire. Cobb – Douglas production function and gross margin were mainly used to determine the productivities and profits of both rice and the marginal value of the product was highly recommended to derive the optimal use of the resources. Results obtained by applying ordinary least square method showed that the most important factors of production in the study area were irrigation, labor, fertilizer and insecticide costs whose elasticities were 0.904, 0.048, 0.045 and 0.044 respectively and insignificant factors were seed and ploughing costs whose elasticities were – 0.009 and 0.030 respectively for high yielding rice. On the other hand, irrigation, insecticide, seed and ploughing costs of elasticities 0.880, 0.589, 0.116 and – 0.127 respectively were the important factors and minor role playing factors were labor and fertilizer costs whose elasticities were 0.098 and 0.077 respectively for conventional yielding rice. The core message from productivity analysis was that the irrigation was key variable which played a positive and vital role in producing rice of both varieties. All variables (resources were economically misallocated in the production activities of both varieties along the study area but high yielding rice was more profitable than conventional one. Results also showed that the farmers of the study area produced rice of both varieties in the inefficient range of production. Continuous supply of electricity, flexible credit and improving the existing resources were the prime policy recommendations of

  20. Multivariate Statistical Analysis of Cigarette Design Feature Influence on ISO TNCO Yields.

    Science.gov (United States)

    Agnew-Heard, Kimberly A; Lancaster, Vicki A; Bravo, Roberto; Watson, Clifford; Walters, Matthew J; Holman, Matthew R

    2016-06-20

    The aim of this study is to explore how differences in cigarette physical design parameters influence tar, nicotine, and carbon monoxide (TNCO) yields in mainstream smoke (MSS) using the International Organization of Standardization (ISO) smoking regimen. Standardized smoking methods were used to evaluate 50 U.S. domestic brand cigarettes and a reference cigarette representing a range of TNCO yields in MSS collected from linear smoking machines using a nonintense smoking regimen. Multivariate statistical methods were used to form clusters of cigarettes based on their ISO TNCO yields and then to explore the relationship between the ISO generated TNCO yields and the nine cigarette physical design parameters between and within each cluster simultaneously. The ISO generated TNCO yields in MSS are 1.1-17.0 mg tar/cigarette, 0.1-2.2 mg nicotine/cigarette, and 1.6-17.3 mg CO/cigarette. Cluster analysis divided the 51 cigarettes into five discrete clusters based on their ISO TNCO yields. No one physical parameter dominated across all clusters. Predicting ISO machine generated TNCO yields based on these nine physical design parameters is complex due to the correlation among and between the nine physical design parameters and TNCO yields. From these analyses, it is estimated that approximately 20% of the variability in the ISO generated TNCO yields comes from other parameters (e.g., filter material, filter type, inclusion of expanded or reconstituted tobacco, and tobacco blend composition, along with differences in tobacco leaf origin and stalk positions and added ingredients). A future article will examine the influence of these physical design parameters on TNCO yields under a Canadian Intense (CI) smoking regimen. Together, these papers will provide a more robust picture of the design features that contribute to TNCO exposure across the range of real world smoking patterns.

  1. Computing arbitrage-free yields in multi-factor Gaussian shadow-rate term structure models

    OpenAIRE

    Marcel A. Priebsch

    2013-01-01

    This paper develops a method to approximate arbitrage-free bond yields within a term structure model in which the short rate follows a Gaussian process censored at zero (a "shadow-rate model" as proposed by Black, 1995). The censoring ensures that model-implied yields are constrained to be positive, but it also introduces non-linearity that renders standard bond pricing formulas inapplicable. In particular, yields are not linear functions of the underlying state vector as they are in affine t...

  2. The rates of G:C[yields]T:A and G:C[yields]C:G transversions at CpG dinucleotides in the human factor IX gene

    Energy Technology Data Exchange (ETDEWEB)

    Ketterling, R.P.; Vielhaber, E.; Sommer, S.S. (Mayo Clinic/Foundation, Rochester, MN (United States))

    1994-05-01

    The authors have identified eight independent transversions at CpG in 290 consecutive families with hemophilia B. These eight transversions account for 16.3% of all independent transversions in the sample, yet the expected frequency of CpG transversions at random in the factor IX gene is only 2.6% (P<0.1). The aggregate data suggest that the two types of CpG transversions (G:C[yields]T:A and G:C[yields]C:G) possess similar mutation rates (24.8 [times] 10[sup [minus]10] and 20.6 [times] 10[sup [minus]10], respectively), which are about fivefold greater than the comparable rates for transversions at non-CpG dinucleotides. The enhancement of transversions at CpG suggest that the model by which mutations occur at CpG may need to be reevaluated. The relationship, if any, between deamination of 5-methyl cytosine and enhancement of transversions at CpG remains to be defined. 28 refs., 2 tabs.

  3. Factor analysis identifies subgroups of constipation

    Institute of Scientific and Technical Information of China (English)

    Philip G Dinning; Mike Jones; Linda Hunt; Sergio E Fuentealba; Jamshid Kalanter; Denis W King; David Z Lubowski; Nicholas J Talley; Ian J Cook

    2011-01-01

    AIM: To determine whether distinct symptom groupings exist in a constipated population and whether such grouping might correlate with quantifiable pathophysiological measures of colonic dysfunction. METHODS: One hundred and ninety-one patients presenting to a Gastroenterology clinic with constipation and 32 constipated patients responding to a newspaper advertisement completed a 53-item, wide-ranging selfreport questionnaire. One hundred of these patients had colonic transit measured scintigraphically. Factor analysis determined whether constipation-related symptoms grouped into distinct aspects of symptomatology. Cluster analysis was used to determine whether individual patients naturally group into distinct subtypes. RESULTS: Cluster analysis yielded a 4 cluster solution with the presence or absence of pain and laxative unresponsiveness providing the main descriptors. Amongst all clusters there was a considerable proportion of patients with demonstrable delayed colon transit, irritable bowel syndrome positive criteria and regular stool frequency. The majority of patients with these characteristics also reported regular laxative use. CONCLUSION: Factor analysis identified four constipation subgroups, based on severity and laxative unresponsiveness, in a constipated population. However, clear stratification into clinically identifiable groups remains imprecise.

  4. Preharvest and postharvest factors affecting yield and nutrient contents of vegetable amaranth (Var. Amaranthus hypochondriacus)

    NARCIS (Netherlands)

    Onyango, C.

    2010-01-01

    KEYWORDS: Traditional leafy vegetables, Amaranth, diammonium phosphate, manure, yields, nutrients, antinutrients, phenolics, oxalates, small-scale farmers, Kenya Agriculture in developing countries faces a number of pressing challenges including population growth, widespread poverty and food insec

  5. SPATIAL CORRELATION ANALYSIS OF CROP YIELD IN THE MIDDLE AND WEST OF JILIN PROVINCE

    Institute of Scientific and Technical Information of China (English)

    LILin-yi; LIChun-lin; 等

    2002-01-01

    In this paper,spatial correlation of crop yield in the middle and west of Jilin province is analyzed by us-ing the method of geostatistics swmivarivogram,taking the NDVI of NOAA/AVHRR spectrum data as the regionalized vari-able,aiming to provide theory and practical basis for field sampling of crop yield estimation using remote sensing.The ratio of nugget variance and sill of semivariograms are 21.1% and9.7% in the west and middle regions in Jilin Province respectively.This shows that the crop yields are spatially correlated.The degree and range of correlation are far different in the different situations.In the west test region,the range is 49.9km and the sill is 0.00019 .In the middle test re-gion,the range is 16.5km and the sill is 0.00453.The dissimilarity in the western test region is larger than that in the middle one.The range in which the correlation existed of the former is far larger than the later.Different characteristics of spatial correlation of crop yield are decided by the environmental factors.Samples for crop yield estimation should be extracted according to the characteristic of spatial distribution of crop yield to promote the efficiency of sampling.

  6. SPATIAL CORRELATION ANALYSIS OF CROP YIELD IN THE MIDDLE AND WEST OF JILIN PROVINCE

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In this paper, spatial correlation of crop yield in the middle and west of Jilin Province is analyzed by using the method of geostatistics semivariogram, taking the NDVI of NOAA/AVHRR spectrum data as the regionalized variable, aiming to provide theory and practical basis for field sampling of crop yield estimation using remote sensing. The ratio of nugget variance and sill of semivariograms are 21.1% and 9.7% in the west and middle regions in Jilin Province respectively. This shows that the crop yields are spatially correlated. The degree and range of correlation are far different in the different situations. In the west test region, the range is 49.9km and the sill is 0.00019. In the middle test region, the range is 16.5km and the sill is 0.00453. The dissimilarity in the western test region is larger than that in the middle one. The range in which the correlation existed of the former is far larger than the later. Different characteristics of spatial correlation of crop yield are decided by the environmental factors. Samples for crop yield estimation should be extracted according to the characteristic of spatial distribution of crop yield to promote the efficiency of sampling.

  7. 基于最小一乘准则的中国粮食产量与影响因素的相关性分析%Relative analysis of China’s grain yield and influence factors based on criterion of least absolute deviation

    Institute of Scientific and Technical Information of China (English)

    顾乐民

    2013-01-01

    的定量值。该文并对2012年粮食产量进行了预测,其值为59133万t,预测的误差为0.3%;也对2013年粮食产量进行了预测,其值为61148万 t。该文最后对最小一乘法、指数型生产函数等存在的问题进行了必要的讨论。最小一乘准则意义下的指数型生产函数,对中国粮食产量与主要影响因素之间关系的描述具有一定的准确性和指导意义。%The relations between China’s grain yield and some main factors influencing the grain yield, more present the exponential function and few exponent sign function relations. To describe with a new type of exponential production function can obtain a better result because of less error. The paper pointed out that the least absolute deviations (LAD) method, as its excellent properties, may be a best method to find the“implicit function”which is behind the data and control the data. To knead the two together, with the LAD method to fit the exponential production function, trying to find out some rules for China's grain change is a subject that is worth of exploring in theory and application. The paper introduces the LAD method and the exponential production function, establishes correlations between the China’s grain yield and its 5 major influencing factors (consumption of chemical fertilizer, total sown area, total area affected by natural disaster, total agricultural machinery power, and total employed persons of primary industry). The production function model was fit with the LAD method, and the data of 1983-2011 were calculated. The results with Mae (mean absolute error) not over 3.93 million tons and Mape (mean absolute percentage error) not more than 0.87%for China’s grain yield during the 29 years were obtained, and the conclusions were explained and analyzed;The analysis showed that, in the 29 years of 1983-2011, the growth of China’s nation grain yield mainly depended on the consumption of chemical fertilizer and the total agricultural machinery power

  8. AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties

    Directory of Open Access Journals (Sweden)

    Eder Jorge de Oliveira

    2014-04-01

    Full Text Available High yield stability and adaptability of yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg. are highly desirable attributes when exploring different environments. This study aimed to evaluate the adaptability and yield stability of yellow passion fruit varieties using AMMI (additive main effects and multiplicative interaction and other ancillary statistics. Twelve varieties were evaluated in eight environments. Analysis of variance showed effects attributable to the varieties (G, environment (E and their interaction (G × E. The first two multiplicative components of the interaction accounted for 69% of the sum of squares. The scores of the principal interaction components showed high variability for the environments relative to the variety effects. High varietal phenotypic stability was observed in three environments; which can be used in yellow passion fruit breeding programs for initial selection trials. A biplot-AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index were useful for discriminating genotypes with superior and stable fruit yield. AMMI analysis also allowed for the identification of more productive varieties in specific environments, leading to significant increase in passion fruit productivity.

  9. Analysis on Relationship between Overcast and Rainy Weather, Drought, Flood and Wheat Yield

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    [Objective] The research aimed to study influence of meteorological factor in late growth stage of wheat. [Method] Based on precipitation, sunshine and yield per unit of wheat in Anyang City in May of 1979-2008, the positive and negative influences of meteorological condition in late growth stage of wheat (May) on wheat yield in Anyang City were analyzed by using agricultural climatic statistical method. Moreover, the reason and defense measure of green-dry hazard in late growth stage of wheat in the city w...

  10. Yielding the yield-stress analysis: a study focused on the effects of elasticity on the settling of a single spherical particle in simple yield-stress fluids.

    Science.gov (United States)

    Fraggedakis, D; Dimakopoulos, Y; Tsamopoulos, J

    2016-06-28

    The sedimentation of a single particle in materials that exhibit simultaneously elastic, viscous and plastic behavior is examined in an effort to explain phenomena that contradict the nature of purely yield-stress materials. Such phenomena include the loss of the fore-and-aft symmetry with respect to an isolated settling particle under creeping flow conditions and the appearance of the "negative wake" behind it. Despite the fact that similar observations have been reported in studies involving viscoelastic fluids, researchers conjectured that thixotropy is responsible for these phenomena, as the aging of yield-stress materials is another common feature. By means of transient calculations, we study the effect of elasticity on both the fluidized and the solid phase. The latter is considered to behave as an ideal Hookean solid. The material properties of the model are determined under the isotropic kinematic hardening framework via Large Amplitude Oscillatory Shear (LAOS) measurements. In this way, we are able to predict accurately the unusual phenomena observed in experiments with simple yield-stress materials, irrespective of the appearance of slip on the particle surface. Viscoelasticity favors the formation of intense shear and extensional stresses downstream of the particle, significantly changing the entrapment mechanism in comparison to that observed in viscoplastic fluids. Therefore, the critical conditions under which the entrapment of the particle occurs deviate from the well-known criterion established theoretically by Beris et al. (1985) and verified experimentally by Tabuteau et al. (2007) for similar materials under conditions that elastic effects are negligible. Our predictions are in quantitative agreement with published experimental results by Holenberg et al. (2012) on the loss of the fore-aft symmetry and the formation of the negative wake in Carbopol with well-characterized rheology. Additionally, we propose simple expressions for the Stokes drag

  11. Reference factor F{sub (CT)Q} and X ray tube ionization yield R{sub (TUBE)Q}

    Energy Technology Data Exchange (ETDEWEB)

    Quaresma, D.S. [Observatorio Nacional, Rio de Janeiro, RJ (Brazil); Cardoso, R.S.; Peixoto, J.G.P., E-mail: dansq@on.br [Instituto de Radioprotecao e Dosimetria (IRD/CNEN-RJ), Rio de Janeiro, RJ (Brazil)

    2015-07-01

    The operational facility procedures in diagnostic radiology standardization and calibration, through the relation between the X ray tube current and the ionization chamber current in a radiation quality Q, shown the reference factor F{sub (CT)Q} as the reality estimate to the X ray tube ionization yield, R{sub (TUBE)Q} . (author)

  12. Derivation of factors to estimate daily milk yield from one milking of cows milked three times daily

    Science.gov (United States)

    The objective was to derive factors to predict daily milk yield when milk is sampled once per d for cows milked three times (3x) per d. Milk weights for all three milkings were recorded automatically by 8 herds and collected by Dairy Herd Improvement supervisors on test-day. Following edits, 196,725...

  13. Derivation of factors to estimate daily yield from single milkings for Holsteins milked two or three times daily

    Science.gov (United States)

    The objective was to derive factors to predict daily yield when milk weights are recorded once when cows are milked twice (2x) or once or twice when cows are milked thrice (3x) per d. Data was from herds enrolled in DHI and automatically recording milking weights and times. Following edits, 83,690...

  14. Effect of environmental and genetic factors on the correlation and stability of grain yield components in wheat

    Directory of Open Access Journals (Sweden)

    Hristov Nikola

    2011-01-01

    Full Text Available More effective breeding and development of new wheat genotypes depend on an intricate analysis of the complex relationships among many different traits. The objective of this paper was to determine the interrelationship, direct and indirect effects, and stability of different yield components in wheat. Forty divergent genotypes were analyzed in a three- year study (2005-2007. Highly significant correlations were found between grain yield per plant and all the other traits analyzed except spike length, with the only negative correlation being that with plant height. Path analysis revealed highly significant direct effects of grain number per spike, grain mass per spike and 1000 grain weight on grain yield per plant. Analysis of stability parameters showed that the stability of grain yield per plant depended for the most part on the stability of grain number per spike, grain mass per spike and harvest index. Cluster analysis identified genotypes with a high performance for grain yield per plant and good stability parameters, indicating the possibility of developing wheat varieties with a high potential and high stability for a particular trait.

  15. Linkages and Interactions Analysis of Major Effect Drought Grain Yield QTLs in Rice.

    Directory of Open Access Journals (Sweden)

    Prashant Vikram

    Full Text Available Quantitative trait loci conferring high grain yield under drought in rice are important genomic resources for climate resilient breeding. Major and consistent drought grain yield QTLs usually co-locate with flowering and/or plant height QTLs, which could be due to either linkage or pleiotropy. Five mapping populations used for the identification of major and consistent drought grain yield QTLs underwent multiple-trait, multiple-interval mapping test (MT-MIM to estimate the significance of pleiotropy effects. Results indicated towards possible linkages between the drought grain yield QTLs with co-locating flowering and/or plant height QTLs. Linkages of days to flowering and plant height were eliminated through a marker-assisted breeding approach. Drought grain yield QTLs also showed interaction effects with flowering QTLs. Drought responsiveness of the flowering locus on chromosome 3 (qDTY3.2 has been revealed through allelic analysis. Considering linkage and interaction effects associated with drought QTLs, a comprehensive marker-assisted breeding strategy was followed to develop rice genotypes with improved grain yield under drought stress.

  16. Analysis on differential expressed genes of ovarian tissue between high- and low-yield laying hen.

    Science.gov (United States)

    Chen, Wei; Song, Ling-Jun; Zeng, Yong-Qing; Yang, Yun; Wang, Hui

    2013-01-01

    In order to elucidate molecular genetic mechanism of laying hen reproduction at the transcriptional level and the structure of significantly differential genes, the mRNA differential display and reverse northern dot-blot were used to detect the differential expression of genes in the ovary tissue of low-yield laying hens and high-yield laying hens in the present study. Sixteen 32-week-old CAU-pink laying hens divided into two groups were used and the laying performance was measured. The results showed that only the egg numbers were significantly different between the two groups; and from 15 primer pairs, a total of 336 bands were displayed of which 59 cDNA bands were found to be differentially expressed in both high-yield and low-yield laying hen. The sequence analysis indicated that the expression of such bands as H-AP5, H-P5, and H-P4 was significantly potentiated in high-yield laying hen using primer pairs AP5/HT11G, P5/HT11G and P4/HT11G and these transcripts had high homology (98%) to HoxDb, HoxCa, and HoxBa, respectively. The differentially expressed gene fragments may be relevant to the progression of the high-yield hens to the egg-laying stage. And further study is required to elucidate the molecular function to improve the productivity of laying hens.

  17. Diagnostic Yield of Chromosomal Microarray Analysis in an Autism Primary Care Practice: Which Guidelines to Implement?

    Science.gov (United States)

    McGrew, Susan G.; Peters, Brittany R.; Crittendon, Julie A.; Veenstra-VanderWeele, Jeremy

    2012-01-01

    Genetic testing is recommended for patients with ASD; however specific recommendations vary by specialty. American Academy of Pediatrics and American Academy of Neurology guidelines recommend G-banded karyotype and Fragile X DNA. The American College of Medical Genetics recommends Chromosomal Microarray Analysis (CMA). We determined the yield of…

  18. Age of planted Echinacea purpurea: The factor of seed yield and quality

    Directory of Open Access Journals (Sweden)

    Jevđović Radosav

    2007-01-01

    Full Text Available Results for yield and quality of echinacea purpurea seed obtained from age of plants one, two, three, four and five year are presented. In the laboratory experiments germination energy (GE, total germination (TG and weight seed was examined. The highest yield of seed was achieved in three-year echinacea purpurea plants, and the lowest yield was achieved in one-year plants. Age of planted established influence significant on total germination. This parametar the highest of seed in three-year plants and the lowest of seed in five-year echinacea purpurea plants. The highest of germination energy of seed established for the seed deriving from three-year echinacea purpurea planted, and the lowest in one-year plants. The absolute mass of seeds the highest in one-year plants, and the lowest for the seed deriving from five-year echinacea purpurea planted. .

  19. Meta-analysis of climate impacts and uncertainty on crop yields in Europe

    Science.gov (United States)

    Knox, Jerry; Daccache, Andre; Hess, Tim; Haro, David

    2016-11-01

    Future changes in temperature, rainfall and soil moisture could threaten agricultural land use and crop productivity in Europe, with major consequences for food security. We assessed the projected impacts of climate change on the yield of seven major crop types (viz wheat, barley, maize, potato, sugar beet, rice and rye) grown in Europe using a systematic review (SR) and meta-analysis of data reported in 41 original publications from an initial screening of 1748 studies. Our approach adopted an established SR procedure developed by the Centre for Evidence Based Conservation constrained by inclusion criteria and defined methods for literature searches, data extraction, meta-analysis and synthesis. Whilst similar studies exist to assess climate impacts on crop yield in Africa and South Asia, surprisingly, no comparable synthesis has been undertaken for Europe. Based on the reported results (n = 729) we show that the projected change in average yield in Europe for the seven crops by the 2050s is +8%. For wheat and sugar beet, average yield changes of +14% and +15% are projected, respectively. There were strong regional differences with crop impacts in northern Europe being higher (+14%) and more variable compared to central (+6%) and southern (+5) Europe. Maize is projected to suffer the largest negative mean change in southern Europe (-11%). Evidence of climate impacts on yield was extensive for wheat, maize, sugar beet and potato, but very limited for barley, rice and rye. The implications for supporting climate adaptation policy and informing climate impacts crop science research in Europe are discussed.

  20. A Comparison of Imputation Methods for Bayesian Factor Analysis Models

    Science.gov (United States)

    Merkle, Edgar C.

    2011-01-01

    Imputation methods are popular for the handling of missing data in psychology. The methods generally consist of predicting missing data based on observed data, yielding a complete data set that is amiable to standard statistical analyses. In the context of Bayesian factor analysis, this article compares imputation under an unrestricted…

  1. The Forecasting Power of the Yield Curve, a Supervised Factor Model Approach

    DEFF Research Database (Denmark)

    Boldrini, Lorenzo; Hillebrand, Eric Tobias

    We study the forecast power of the yield curve for macroeconomic time series, such as consumer price index, personal consumption expenditures, producer price index, real disposable income, unemployment rate, and industrial production. We employ a state-space model in which the forecasting objective......¨urkaynak, Sack, and Wright (2006) and Diebold and Li (2006) and macroeconomic data from FRED. We compare the models by means of the conditional predictive ability test of Giacomini and White (2006). We find that the yield curve has more forecast power for real variables compared to inflation measures...

  2. Factors affecting the yield of bio-oil from the pyrolysis of coconut shell

    OpenAIRE

    Gao, Yun; Yang, Yi; Qin, Zhanbin; Sun, Yi

    2016-01-01

    Coconut is a high-quality agricultural product of the Asia–Pacific region. In this paper, coconut shell which mainly composed of cellulose, hemicellulose, lignin was used as a raw material for coconut shell oil from coconut shell pyrolysis. The influence of the pyrolysis temperature, heating rate and particle size on coconut oil yield was investigated, and the effect of heating rate on coconut oil components was discussed. Experimental results show that the maximum oil yield of 75.74 wt% (inc...

  3. Amplitude analysis without ambiguity in the transition NN {yields} {Delta}N; Analyse en amplitudes sans ambiguite de la transition NN {yields} {Delta}N

    Energy Technology Data Exchange (ETDEWEB)

    Auger, J.P. [Orleans Univ., 45 Orleans (France); Lazard, C. [Theoretical Physics Division, Inst. de Physique Nucleaire, Paris-11 Univ., 91 - Orsay (France)

    1999-10-01

    A three step method is developed for determining without ambiguity the NN {yields} {Delta}N transition amplitudes. The purpose of the study is to select a set of observables, which determines, first, the 16 values of the amplitudes, secondly, the 15 independent relative phases, and thirdly, some dependent relative phases for resolving the remaining ambiguities. For determining NN {yields} (N{pi})N experiments needed to such an amplitude analysis, the decay distribution is expressed in the density matrix formalism. For particular {Delta} - production angles, an unambiguously amplitude analysis is performed with experiments involving polarized beam and target, only, avoiding the detection of the polarization of the outgoing nucleons. (authors) 2 refs.

  4. Management factors affecting establishment and yield of bioenergy miscanthus on claypan soil landscapes

    Science.gov (United States)

    Bioenergy crop Miscanthus x giganteus has been well studied for its establishment and yield in Europe and certain parts of the US Midwest but little has been done to investigate these properties when grown on degraded soils, which are typified as being less productive, and consequently, economically...

  5. Climatic factors affecting annual maize yields in the valley of Oaxaca, Mexico

    Science.gov (United States)

    Dilley, Maxx

    1997-11-01

    Locally measured climatic variables, such as temperature and precipitation, clearly affect agriculture, particularly in semi-arid regions. Some climate/agriculture applications, however, do better to focus on meso- and large-scale atmospheric and oceanic circulatory influences on the location of interest. In the Valley of Oaxaca in the highlands of southern Mexico for example, rain-fed maize yields are as sensitive to interannual variations in the Southern Oscillation Index (SOI) and a synoptic index of summer 850 hPa-level temperatures in the Mexico-USA border region as they are to locally measured precipitation, a variable to which yields are also strongly related. From 1978 to 1990, August precipitation explains 62 per cent of the variation in yields on the area planted in rain-fed maize in the Valley of Oaxaca, a region highly dependent on that crop. An index derived from 850 hPa-level temperatures and the annual average value of the SOI are comparable, explaining 48 per cent and 68 per cent of maize-yield variation respectively. This suggests that useful information for agricultural decision-making in the Valley of Oaxaca can be obtained by monitoring ENSO and the development of large-scale circulatory patterns. Unlike local observations, these larger scale phenomena may provide advance warning of precipitation conditions during the agricultural season upon which so many people's livelihoods in the region depend.

  6. Proteomic Analysis of the Response of Liangyoupeijiu (Super High-Yield Hybrid Rice) Seedlings to Cold Stress

    Institute of Scientific and Technical Information of China (English)

    Ping-Fang Yang; Xiao-Juan Li; Yu Liang; Yu-Xiang Jing; Shi-Hua Shen; Ting-Yun Kuang

    2006-01-01

    Liangyoupeijiu is a super high-yield hybrid rice. Despite its advantages with respect to yield and grain quality, it is sensitive to cold, which keeps it from being widely cultivated. We subjected Liangyoupeijiu seedlings to 4 ℃ cold treatment, then extracted the leaf proteins. After 2-D gel electrophoresis separation and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis, a series of differentially displayed proteins were identified. Some metabolism-associated proteins were found among the downregulated proteins, such as carbamoyl phosphate synthetase, transketolase 1, dihydrolipoamide dehydrogenase and glyceraldehyde 3-phosphate dehydrogenase. The upregulated proteins included both stress-resistance proteins such as nucleoside diphosphate kinase Ⅰ and proteins that are negative for rice growth, such as FtsH-like protein, plastid fusion and/or translocation factor (Pftf) and actin. Our results indicate that cold may inhibit Liangyoupeijiu growth through decreasing metabolic activity and damaging cell structure.

  7. Partial Least Squares Regression for Determining the Control Factors for Runoff and Suspended Sediment Yield during Rainfall Events

    Directory of Open Access Journals (Sweden)

    Nufang Fang

    2015-07-01

    Full Text Available Multivariate statistics are commonly used to identify the factors that control the dynamics of runoff or sediment yields during hydrological processes. However, one issue with the use of conventional statistical methods to address relationships between variables and runoff or sediment yield is multicollinearity. The main objectives of this study were to apply a method for effectively identifying runoff and sediment control factors during hydrological processes and apply that method to a case study. The method combines the clustering approach and partial least squares regression (PLSR models. The case study was conducted in a mountainous watershed in the Three Gorges Area. A total of 29 flood events in three hydrological years in areas with different land uses were obtained. In total, fourteen related variables were separated from hydrographs using the classical hydrograph separation method. Twenty-nine rainfall events were classified into two rainfall regimes (heavy Rainfall Regime I and moderate Rainfall Regime II based on rainfall characteristics and K-means clustering. Four separate PLSR models were constructed to identify the main variables that control runoff and sediment yield for the two rainfall regimes. For Rainfall Regime I, the dominant first-order factors affecting the changes in sediment yield in our study were all of the four rainfall-related variables, flood peak discharge, maximum flood suspended sediment concentration, runoff, and the percentages of forest and farmland. For Rainfall Regime II, antecedent condition-related variables have more effects on both runoff and sediment yield than in Rainfall Regime I. The results suggest that the different control factors of the two rainfall regimes are determined by the rainfall characteristics and thus different runoff mechanisms.

  8. Interrelationships between morphometric variables and rounded fish body yields evaluated by path analysis

    Directory of Open Access Journals (Sweden)

    Rafael Vilhena Reis Neto

    2012-07-01

    Full Text Available The objective of this study was to verify which morphometric measures and ratios are more directly associated with the weight and body yields of rounded fish. A total of 225 specimens of rounded fish (59 pacus, 61 tambaquis, 52 tambacus and 53 paquis with average weight of 972.43 g (±115.52 g were sampled, stunned, slaughtered, weighed, measured, and processed for morphometric and processing yield analysis. The morphometric measures taken were: standard length (CP; head length (CC; head height (AC; body height (A1; and body width (L1. For completeness, the following morphometric ratios were calculated: CC/CP, AC/CP, A1/CP, L1/CP, CC/A1, AC/A1, L1/A1, CC/AC and L1/CC. The yields of carcass, filet, rib and filet with rib were estimated after processing. Initially, a "stepwise" procedure was performed in order to eliminate multicollinearity problems among the morphometric variables, and the phenotypic correlations were then calculated for the dependent variables (weight and body yields and independent variables (morphometric measurements and ratios. These correlations were later deployed in direct and indirect effects through path analysis, and the direct and indirect contributions of each variable were measured in percentage terms. The CC and A1 measures were important for determining the weight of rounded fish. The CC/A1 ratio was the variable most directly associated with carcass yield. For filet, filet with rib and rib yields, the L1/CC ratio was found to be more appropriate and can be used directly.

  9. Mathematical and statistical analysis of the effect of boron on yield parameters of wheat

    Energy Technology Data Exchange (ETDEWEB)

    Rawashdeh, Hamzeh [Water Management and Environment Research Department, National Center for Agricultural Research and Extension, P.O. Box 639, Baqa 19381 (Jordan); Sala, Florin [Soil Science and Plant Nutrition, Faculty of Agriculture, Banat University of Agricultural Sciences and Veterinary Medicine “Regele Mihai I al României” from Timişoara, Timişoara, 300645 (Romania); Boldea, Marius [Mathematics and Statistics, Faculty of Agriculture, Banat University of Agricultural Sciences and Veterinary Medicine “Regele Mihai I al României” from Timisoara, Timişoara, 300645 (Romania)

    2015-03-10

    The main objective of this research is to investigate the effect of foliar applications of boron at different growth stages on yield and yield parameters of wheat. The contribution of boron in achieving yield parameters is described by second degree polynomial equations, with high statistical confidence (p<0.01; F theoretical < F calculated, according to ANOVA test, for Alfa = 0.05). Regression analysis, based on R{sup 2} values obtained, made it possible to evaluate the particular contribution of boron to the realization of yield parameters. This was lower for spike length (R{sup 2} = 0.812), thousand seeds weight (R{sup 2} = 0.850) and higher in the case of the number of spikelets (R{sup 2} = 0.936) and the number of seeds on a spike (R{sup 2} = 0.960). These results confirm that boron plays an important part in achieving the number of seeds on a spike in the case of wheat, as the contribution of this element to the process of flower fertilization is well-known. In regards to productivity elements, the contribution of macroelements to yield quantity is clear, the contribution of B alone being R{sup 2} = 0.868.

  10. Automatic yield-line analysis of slabs using discontinuity layout optimization.

    Science.gov (United States)

    Gilbert, Matthew; He, Linwei; Smith, Colin C; Le, Canh V

    2014-08-01

    The yield-line method of analysis is a long established and extremely effective means of estimating the maximum load sustainable by a slab or plate. However, although numerous attempts to automate the process of directly identifying the critical pattern of yield-lines have been made over the past few decades, to date none has proved capable of reliably analysing slabs of arbitrary geometry. Here, it is demonstrated that the discontinuity layout optimization (DLO) procedure can successfully be applied to such problems. The procedure involves discretization of the problem using nodes inter-connected by potential yield-line discontinuities, with the critical layout of these then identified using linear programming. The procedure is applied to various benchmark problems, demonstrating that highly accurate solutions can be obtained, and showing that DLO provides a truly systematic means of directly and reliably automatically identifying yield-line patterns. Finally, since the critical yield-line patterns for many problems are found to be quite complex in form, a means of automatically simplifying these is presented.

  11. Line × Tester Mating Design Analysis for Grain Yield and Yield Related Traits in Bread Wheat (Triticum aestivum L.

    Directory of Open Access Journals (Sweden)

    Zine El Abidine Fellahi

    2013-01-01

    Full Text Available Nine bread wheat (Triticum aestivum L. genotypes were crossed in a line × tester mating design. The 20 F1's and their parents were evaluated in a randomized complete block design with three replications at the Field Crop Institute-Agricultural Experimental Station of Setif (Algeria during the 2011/2012 cropping season. The results indicated that sufficient genetic variability was observed for all characters studied. A899 × Rmada, A899 × Wifak, and A1135 × Wifak hybrids had greater grain yield mean than the parents. A901 line and the tester Wifak were good combiners for the number of grains per spike. MD is a good combiner for 1000-kernel weight and number of fertile tillers. HD1220 is a good general combiner to reduce plant height; Rmada is a good general combiner to shorten the duration of the vegetative growth period. A901 × Wifak is a best specific combiner to reduce plant height, to increase 1000-kernel weight and number of grains per spike. AA × MD is a best specific combiner to reduce duration of the vegetative period, plant height and to increase the number of kernels per spike. A899 × Wifak showed the highest heterosis for grain yield, accompanied with positive heterosis for the number of fertile tillers and spike length, and negative heterosis for 1000-kernel weight and the number of days to heading. σgca2/σsca2,  (σD2/σA21/2 low ratios and low to intermediate estimates of h2ns supported the involvement of both additive and nonadditive gene effects. The preponderance of non-additive type of gene actions clearly indicated that selection of superior plants should be postponed to later generation.

  12. Studies on the Reaction Mechanism of CPP and the Factors Affecting the Yields of Ethylene and Propylene

    Institute of Scientific and Technical Information of China (English)

    HouDianguo; WangXieqing; 等

    2002-01-01

    The reaction mechanisms of Catalytic Pyrolysis Process and the ethylene and propylene forma-tion reaction are analyzed,and ethylene and propylene are produced through both the free radical reac-tion and carbenium ion reaction.The factors affecting the yields of ethylene and propylene are discussed.The results showed that greater yields of ethylene and propylene can be obtained on ZSM-5 catalysts rather than USY and REY catalysts,and the modified ZSM-5 could improve the ethylene yield.A higher temperature is favorable for enhancement of the free radical reaction as opposed to carbenium ion reaction,and change in temperature can adjust the ratio of ethylene and propylene production.A higher steam amount could produce more ethylene and propylene and less coke,and lowering the catalyst/oil ratio is favorable for producing ethylene.

  13. Studies on the Reaction Mechanism of CPP and the Factors Affecting the Yields of Ethylene and Propylene

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The reaction mechanisms of Catalytic Pyrolysis Process and the ethylene and propylene forma-tion reaction are analyzed, and ethylene and propylene are produced through both the free radical reac-tion and carbenium ion reaction. The factors affecting the yields of ethylene and propylene are discussed.The results showed that greater yields of ethylene and propylene can be obtained on ZSM-5 catalystsrather than USY and REY catalysts, and the modified ZSM-5 could improve the ethylene yield. A highertemperature is favorable for enhancement of the free radical reaction as opposed to carbenium ion reaction,and change in temperature can adjust the ratio of ethylene and propylene production. A higher steamamount could produce more ethylene and propylene and less coke, and lowering the catalyst/oil ratio isfavorable for producing ethylene.

  14. Studies on the Reaction Mechanism of CPP and the Factors Affecting the Yields of Ethylene and Propylene

    Institute of Scientific and Technical Information of China (English)

    Hou Dianguo; Wang Xieqing; Xie Chaogang; Shi Zhicheng

    2002-01-01

    The reaction mechanisms of Catalytic Pyrolysis Process and theethylene and propylene forma-tion reaction are analyzed, and ethylene and propylene are produced through both the free radical reac-tion and carbenium ion reaction. The factors affecting the yields of ethylene and propylene are discussed.The results showed that greater yields of ethylene and propylene can be obtained on ZSM-5 catalystsrather than USY and REY catalysts, and the modified ZSM-5 could improve the ethylene yield. A highertemperature is favorable for enhancement of the free radical reaction as opposed to carbenium ion reaction,and change in temperature can adjust the ratio of ethylene and propylene production. A higher steamamount could produce more ethylene and propylene and less coke, and lowering the catalyst/oil ratio isfavorable for producing ethylene.

  15. Factors Affecting Milk Yield, Composition and Udder Health of Najdi Ewes

    Directory of Open Access Journals (Sweden)

    M. Ayadi

    2014-02-01

    Full Text Available Although Najdi milk has been historically utilized by bedouins to process traditional dairy products, no published studies have been focused on their milk productivity and quality traits. This study was planned to investigate the effects of litter size, sex of lamb and lamb’s birth weight on milk yield, compositions and udder health during suckling and milking periods. A total of 30 multiparous ewes were utilized in this study. Litter size and sex of lambs did not produce any effects (p>0.05 on milk yield, fat, protein, lactose, total solids and Somatic Cell Counts (SCC; whereas, lamb’s birth weight significantly (p0.05 to attain 1.88±0.18 L in the 9th week of lactation. Average milk yield were 2.17 and 1.71 L.d-1, for ewes that gave birth to lambs weighing >5 and 0.05 and had a mean value of 9.95×105 cells/mL. It is concluded that the indigenous Najdi ewes have a noticeable potential for milk production, but milk compositions were lower in comparison to other international dairy sheep.

  16. Improvement of enzymatic saccharification yield in Arabidopsis thaliana by ectopic expression of the rice SUB1A-1 transcription factor

    Directory of Open Access Journals (Sweden)

    Lizeth Núñez-López

    2015-03-01

    Full Text Available Saccharification of polysaccharides releases monosaccharides that can be used by ethanol-producing microorganisms in biofuel production. To improve plant biomass as a raw material for saccharification, factors controlling the accumulation and structure of carbohydrates must be identified. Rice SUB1A-1 is a transcription factor that represses the turnover of starch and postpones energy-consuming growth processes under submergence stress. Arabidopsis was employed to test if heterologous expression of SUB1A-1 or SUB1C-1 (a related gene can be used to improve saccharification. Cellulolytic and amylolytic enzymatic treatments confirmed that SUB1A-1 transgenics had better saccharification yield than wild-type (Col-0, mainly from accumulated starch. This improved saccharification yield was developmentally controlled; when compared to Col-0, young transgenic vegetative plants yielded 200–300% more glucose, adult vegetative plants yielded 40–90% more glucose and plants in reproductive stage had no difference in yield. We measured photosynthetic parameters, starch granule microstructure, and transcript abundance of genes involved in starch degradation (SEX4, GWD1, juvenile transition (SPL3-5 and meristematic identity (FUL, SOC1 but found no differences to Col-0, indicating that starch accumulation may be controlled by down-regulation of CONSTANS and FLOWERING LOCUS T by SUB1A-1 as previously reported. SUB1A-1 transgenics also offered less resistance to deformation than wild-type concomitant to up-regulation of AtEXP2 expansin and BGL2 glucan-1,3,-beta-glucosidase. We conclude that heterologous SUB1A-1 expression can improve saccharification yield and softness, two traits needed in bioethanol production.

  17. An easy guide to factor analysis

    CERN Document Server

    Kline, Paul

    2014-01-01

    Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, a

  18. MISSE 2 PEACE Polymers Experiment Atomic Oxygen Erosion Yield Error Analysis

    Science.gov (United States)

    McCarthy, Catherine E.; Banks, Bruce A.; deGroh, Kim, K.

    2010-01-01

    Atomic oxygen erosion of polymers in low Earth orbit (LEO) poses a serious threat to spacecraft performance and durability. To address this, 40 different polymer samples and a sample of pyrolytic graphite, collectively called the PEACE (Polymer Erosion and Contamination Experiment) Polymers, were exposed to the LEO space environment on the exterior of the International Space Station (ISS) for nearly 4 years as part of the Materials International Space Station Experiment 1 & 2 (MISSE 1 & 2). The purpose of the PEACE Polymers experiment was to obtain accurate mass loss measurements in space to combine with ground measurements in order to accurately calculate the atomic oxygen erosion yields of a wide variety of polymeric materials exposed to the LEO space environment for a long period of time. Error calculations were performed in order to determine the accuracy of the mass measurements and therefore of the erosion yield values. The standard deviation, or error, of each factor was incorporated into the fractional uncertainty of the erosion yield for each of three different situations, depending on the post-flight weighing procedure. The resulting error calculations showed the erosion yield values to be very accurate, with an average error of 3.30 percent.

  19. RAPD markers for the identification of yield traits in tomatoes under heat stress via bulked segregant analysis.

    Science.gov (United States)

    Lin, Kuan-Hung; Lo, Hsiao-Feng; Lee, Shao-Pei; George Kuo, C; Chen, Jen-Tzu; Yeh, Wei-Lun

    2006-12-01

    Tomato production is limited to a large extent by climates with high temperatures. Yield-related traits in tomatoes are generally thought to be quantitative inherited traits that are significantly affected by variation in environmental factors. Breeding for heat tolerance is restricted due to the complexity of the traits. The objective of this study was to identify random amplified polymorphic DNA (RAPD) markers linked to heat-tolerance traits in tomatoes under heat stress. Forty-three F(7) recombinant inbred lines (RILs) derived from a wild cross between CL 5915 (heat-tolerant) and L4422 (heat-sensitive) were obtained and scored for flower number, fruit number, fruit set, fruit weight and yield under screen house conditions during the hot (summer) season of 2003. The distributions of average fruit weight, fruit number, fruit set and yield in the F(7) population were strongly skewed towards heat susceptibility, characteristic of L4422. Significant positive correlation was observed between fruit weight and yield, and between fruit number, fruit set and yield. However, the increase in yield and fruit set by selecting for large flower number may be fairly minor due to non-significant correlation between these traits. Selecting for flower number may not be a useful tool for improving yield under heat stress. A total of 200 RAPD primers were screened, among which 14 were identified as associated with heat-tolerance using bulk segregant analysis (BSA) based on the F(7) population grown in a heat-stressed environment. Some RAPD markers were unique to one specific trait, and others were linked to two traits. All markers for heat tolerance related traits had positive gene effects as a result of the contribution of the CL5915 gene that bolstered these traits. One hundred F(2) plants derived from the same parents (CL5915xL4422) were grown in the same location during the summer of 2004 to test for the stability and reliability of the 14 markers identified. Selection for the

  20. Analysis of shape isomer yields of 237Pu in the framework of dynamical–statistical model

    Indian Academy of Sciences (India)

    Hadi Eslamizadeh

    2012-02-01

    Data on shape isomer yield for + 235U reaction at $E^{\\text{lab}}$ = 20–29 MeV are analysed in the framework of a combined dynamical–statistical model. From this analysis, information on the double humped fission barrier parameters for some Pu isotopes has been obtained and it is shown that the depth of the second potential well should be less than the results of statistical model calculations.

  1. THE CHOICE OF INVESTMENT LOCATION – THE DETERMININING FACTOR OF ITS YIELD

    Directory of Open Access Journals (Sweden)

    GUŢĂ ANCA JARMILA

    2016-08-01

    Full Text Available The main objective of a financial manager is to use the funds of the company within its managerial authority, so that at long-term the firm obtains the investments yield at least as high as that which could be achieved through alternative investments, with similar risks. The second important objective is to maximize the present value of investment resources to achieve the higher yield as possible, without existing the undue risk. For maximization of the earning capacity of the firm, the resources are allocated in such a way that the earning are allocated in such a way that the earning capacity is transformed into a high efficiency as possible for the company. For achieving these objectives the measurement methods are needed to evaluate the company performance. A basic measurement method is the return on investment (ROI, which describes the relationship between profit and investment. The planning of a business regardless of the investment area must take into account the location of the investment project because of its importance to the future success of the company. In this context, the paper analyzes the main aspects concerning the natural environment and related geophysical conditions, the environmental impact of the project, socio-economic and governmental policies as well as the industrial infrastructure conditions, key issues in determining the efficiency of investment for a company with industrial production activity

  2. High yield expression of catalytically active USP18 (UBP43 using a Trigger Factor fusion system

    Directory of Open Access Journals (Sweden)

    Basters Anja

    2012-08-01

    Full Text Available Abstract Background Covalent linkage of the ubiquitin-like protein ISG15 interferes with viral infection and USP18 is the major protease which specifically removes ISG15 from target proteins. Thus, boosting ISG15 modification by protease inhibition of USP18 might represent a new strategy to interfere with viral replication. However, so far no heterologous expression system was available to yield sufficient amounts of catalytically active protein for high-throughput based inhibitor screens. Results High-level heterologous expression of USP18 was achieved by applying a chaperone-based fusion system in E. coli. Pure protein was obtained in a single-step on IMAC via a His6-tag. The USP18 fusion protein exhibited enzymatic activity towards cell derived ISG15 conjugated substrates and efficiently hydrolyzed ISG15-AMC. Specificity towards ISG15 was shown by covalent adduct formation with ISG15 vinyl sulfone but not with ubiquitin vinyl sulfone. Conclusion The results presented here show that a chaperone fusion system can provide high yields of proteins that are difficult to express. The USP18 protein obtained here is suited to setup high-throughput small molecule inhibitor screens and forms the basis for detailed biochemical and structural characterization.

  3. Forecasting the Yield Curve in a Data-Rich Environment Using the Factor-Augmented Nelson-Siegel Model

    DEFF Research Database (Denmark)

    Exterkate, Peter; Dijk, Dick van; Heij, Christiaan;

    2013-01-01

    This paper compares various ways of extracting macroeconomic information from a data-rich environment for forecasting the yield curve using the Nelson–Siegel model. Five issues in extracting factors from a large panel of macro variables are addressed; namely, selection of a subset of the available...... forecast accuracy, especially for the shortest and longest maturities. Factor-augmented methods perform well in relatively volatile periods, including the crisis period in 2008–9, when simpler models do not suffice. The macroeconomic information is exploited best by partial least squares methods...

  4. Analysis of particle size reduction on overall surface area and enzymatic hydrolysis yield of corn stover.

    Science.gov (United States)

    Li, Hanjie; Ye, Chenlin; Liu, Ke; Gu, Hanqi; Du, Weitao; Bao, Jie

    2015-01-01

    Particle size of lignocellulose materials is an important factor for enzymatic hydrolysis efficiency. In this study, corn stover was milled and sieved into different size fractions from 1.42, 0.69, 0.34, to 0.21 mm, and the corresponding enzymatic hydrolysis yields were 24.69, 23.96, 25.34, and 26.97 %, respectively. The results indicate that the hydrolysis yield is approximately constant with changing corn stover particle sizes in the experimental range. The overall surface area and the inner pore size measurement show that the overall specific surface area was less than 2 % with the half reduction of particle size due to the greater inner pore surface area. The scanning electron microscope photographs gave direct evidence of the much greater inner pore surface area of corn stover particles. This result provided a reference when a proper size reduction of lignocellulose materials is considered in biorefining operations.

  5. Genetic analysis for yield and its components in okra (Abelmoschus esculentus (L. Moench

    Directory of Open Access Journals (Sweden)

    Konda Chandrasekhar Reddy4

    2012-04-01

    Full Text Available Combining ability variances and effects of yield and its components in okra (Abelmoschus esculentus (L. Moenchwere studied through half diallel analysis of 45 F1 hybrids derived by crossing 10 nearly homozygous germplasm lines namelyP1(IC282248, P2(IC27826-A, P3(IC29119-B, P4(IC31398-A, P5(IC45732, P6(IC89819, P7(IC89976, P8(IC90107, P9(IC99716 andP10(IC111443 during mid kharif (July-October, 2009, at the Vegetable Research Station, Rajendranagar, Andhra Pradesh,India. Both additive and non-additive variances were important for a majority of the characters except plant height, fruit andshoot borer infestation on fruits and shoots and yellow vein mosaic virus infestation on plants. Genetic analysis revealed apreponderance of non-additive gene action for plant height, internodal length, days to 50% flowering, first flowering andfruiting node, fruit length and weight, total number of fruits and number of marketable fruits per plant, total yield and marketableyield per plant and yellow vein mosaic virus infestation on fruits and plants and a preponderance of additive gene actionfor number of branches per plant and fruit and shoot borer infestation on fruits and shoots. The parents P5(IC45732, P6(IC89819 and P7(IC89976 were high general combiners for total and marketable yield per plant and their associated traits,which could be exploited for developing prolific pure line varieties of okra. The crosses C23(IC29119-B × IC99716, C17(IC27826-A × IC111443, C42(IC89976 × IC111443 were superior specific combiners for total and marketable yield per plant withthe potential of being commercially exploited for the production of F1 hybrids. The cross combinations C42 (IC89976 × IC111443 and (IC27826-A × IC89819 having one of the parents with positively significant general combining ability effects fortotal yield and marketable yield per plant could be utilized in recombination breeding with single plant selection in the passinggenerations to capitalize

  6. Early Yield Prediction Using Image Analysis of Apple Fruit and Tree Canopy Features with Neural Networks

    Directory of Open Access Journals (Sweden)

    Hong Cheng

    2017-01-01

    Full Text Available (1 Background: Since early yield prediction is relevant for resource requirements of harvesting and marketing in the whole fruit industry, this paper presents a new approach of using image analysis and tree canopy features to predict early yield with artificial neural networks (ANN; (2 Methods: Two back propagation neural network (BPNN models were developed for the early period after natural fruit drop in June and the ripening period, respectively. Within the same periods, images of apple cv. “Gala” trees were captured from an orchard near Bonn, Germany. Two sample sets were developed to train and test models; each set included 150 samples from the 2009 and 2010 growing season. For each sample (each canopy image, pixels were segmented into fruit, foliage, and background using image segmentation. The four features extracted from the data set for the canopy were: total cross-sectional area of fruits, fruit number, total cross-section area of small fruits, and cross-sectional area of foliage, and were used as inputs. With the actual weighted yield per tree as a target, BPNN was employed to learn their mutual relationship as a prerequisite to develop the prediction; (3 Results: For the developed BPNN model of the early period after June drop, correlation coefficients (R2 between the estimated and the actual weighted yield, mean forecast error (MFE, mean absolute percentage error (MAPE, and root mean square error (RMSE were 0.81, −0.05, 10.7%, 2.34 kg/tree, respectively. For the model of the ripening period, these measures were 0.83, −0.03, 8.9%, 2.3 kg/tree, respectively. In 2011, the two previously developed models were used to predict apple yield. The RMSE and R2 values between the estimated and harvested apple yield were 2.6 kg/tree and 0.62 for the early period (small, green fruit and improved near harvest (red, large fruit to 2.5 kg/tree and 0.75 for a tree with ca. 18 kg yield per tree. For further method verification, the cv.

  7. ANALYSIS OF THE CAEV INFECTION IMPACT ON THE MILK YIELD AND MILK SCC OF POLISH DAIRY GOATS

    Directory of Open Access Journals (Sweden)

    Joanna Pławińska-Czarnak

    2014-02-01

    Full Text Available Goats’ milk is an attractive product for producers and consumers, because of its health benefits and chemical composition. But there arestill no strict regulations according to specific hygienic rules for this milk safety. Somatic cells number, which is the basic parameter for bovine milk (SCC vary in goats and it is affected by many factors, e.g. age, estrous phase, type of milking, but also by infectious factors. In our experiment we had analyzed the potential influence of CAEV infection on dairy goats productivity and milk SCC. The experiment was conducted on 24 individuals (12 seropositive/12 seronegative , with milk samples analysis during subsequent lactations (from 2nd to 5th. The results have shown the impact of viral infection on early and late lactations, with decreased milk yield & increased number of somatic cells in milk. We conclude that it could be correlated with infection progression and the efficiency of goats’ immune system.

  8. Comparative Transcriptome Analysis Reveals Different Silk Yields of Two Silkworm Strains.

    Directory of Open Access Journals (Sweden)

    Juan Li

    Full Text Available Cocoon and silk yields are the most important characteristics of sericulture. However, few studies have examined the genes that modulate these features. Further studies of these genes will be useful for improving the products of sericulture. JingSong (JS and Lan10 (L10 are two strains having significantly different cocoon and silk yields. In the current study, RNA-Seq and quantitative polymerase chain reaction (qPCR were performed on both strains in order to determine divergence of the silk gland, which controls silk biosynthesis in silkworms. Compared with L10, JS had 1375 differentially expressed genes (DEGs; 738 up-regulated genes and 673 down-regulated genes. Nine enriched gene ontology (GO terms were identified by GO enrichment analysis based on these DEGs. KEGG enrichment analysis results showed that the DEGs were enriched in three pathways, which were mainly associated with the processing and biosynthesis of proteins. The representative genes in the enrichment pathways and ten significant DEGs were further verified by qPCR, the results of which were consistent with the RNA-Seq data. Our study has revealed differences in silk glands between the two silkworm strains and provides a perspective for understanding the molecular mechanisms determining silk yield.

  9. Correlations and path analysis in components of fiber yield in cultivars of upland cotton

    Directory of Open Access Journals (Sweden)

    Laíse Ferreira de Araújo

    2012-01-01

    Full Text Available This study evaluated the relative contribution of agronomic and technological components on the fiber yield in upland cotton cultivars. The experiment was carried out with 11 upland cotton cultivars in a completely randomized blocks design with three replications. Initially, we performed analysis of variance, with the F test at 5% probability for the effect of cultivar as fixed effects as well as block and environment effects as random. Then the values were ordered according to cluster test Scott-Knott, at 5% probability level. The significance of the null hypothesis that all possible canonical correlations are null was evaluated using the chi-square test. The correlations were estimated through the path analysis. By examining the canonical correlations there was dependence between the two groups of variables and therefore it is possible to promote changes in certain characteristics through the selection of others correlated. Plants of upland cotton with higher fiber yield were influenced by the decrease in average weight of the cotton boll. When there is a reduced fiber yield, there is also an increase in uniformity and strength thereof. The fiber resistance had negative indirect effects on the fiber uniformity and length.

  10. A Global Analysis of Light and Charge Yields in Liquid Xenon

    CERN Document Server

    Lenardo, Brian; Szydagis, Matthew; Tripathi, Mani

    2014-01-01

    We present an updated model of light and charge yields from nuclear recoils in liquid xenon with a simultaneously constrained parameter set. A global analysis is performed using measurements of electron and photon yields compiled from all available historical data, as well as measurements of the ratio of the two. These data sweep over energies from 1 - 300 keV and external applied electric fields from 0 - 4060 V/cm. The model is constrained by constructing global cost functions and using a gradient descent minimizer, a simulated annealing algorithm, and a Markov Chain Monte Carlo approach to optimize and find confidence intervals on all free parameters in the model. This analysis contrasts with previous work in that we do not unnecessarily exclude data sets nor impose artificially conservative assumptions, do not use spline functions, and reduce the number of parameters used in NEST v0.98. We report our results and the calculated best-fit charge and light yields. These quantities are crucial to understanding ...

  11. A meta-analysis of responses of wheat yield formation to elevated ozone concentration

    Institute of Scientific and Technical Information of China (English)

    FENG ZhaoZhong; KOBAYASHI Kazuhiko; WANG XiaoKe; FENG ZongWei

    2009-01-01

    The meta-analysis method was applied to quantitatively investigate effects of the elevated ozone con-centration ([O3]) on chlorophyll concentration, gas exchange and yield components of wheat. There were 39 effective references through Web of Science (ISI, USA) and Chinese journal full-text database (CNKI, China). The results of meta-analysis indicated that elevated [O3] decreased grain yield, grain weight, grain number per ear, ear number per plant and harvest index by 26%, 18%, 11%, 5% and 11%,respectively, relative to ambient air. The decrease in leaf physiological characters was much greater than that in yield when wheat was expose to elevated [O3], while light-saturated photosynthetic rate (Asat), stomatal conductance (Gs) and chlorophyll content (ChI) decreased by 40%, 31%, and 46%,respectively. The responses to elevated [O3] between spring wheat and winter wheat were similar. Most of the variables showed a linear decrease trend with an increase of [O3]. The most significant decrease for Asat, Gs and Chl was found in grain filling stage. Elevated [CO2] could significantly ameliorated or offset the detrimental effects caused by elevated [O3].

  12. Three-Dimensional Analysis of Rolling by Twin Shear Stress Yield Criterion

    Institute of Scientific and Technical Information of China (English)

    ZHAO De-wen; XIE Ying-jie; LIU Xiang-hua; WANG Guo-dong

    2006-01-01

    Using the twin shear stress yield criterion, the surface integral of the co-line vectors, and the integration depending on upper limit, Kobayashi's three-dimensional velocity field of rolling was analyzed and an analytical expression of rolling torque and single force was obtained. Through redoing the same experiment of rolling pure lead as Sims, the calculated results by the above expression were compared with those of Kobayashi and Sims formulae. The results show that the twin shear stress yield criterion is available for rolling analysis and the calculated results by the new formula are a little higher than those by Kobayashi and Sims ones if the reduction ratio is less than 30%.

  13. A new method for high yield purification of type beta transforming growth factor from human platelets

    NARCIS (Netherlands)

    Eijnden-van Raaij, A.J.M. van den; Koornneef, I.; Zoelen, E.J.J. van

    1988-01-01

    A new method was developed for the purification of type beta transforming growth factor from human platelets. This method is a three-step procedure including gel filtration, weak cation exchange HPLC and reverse phase HPLC. All steps are carried out at low pH using exclusively volatile acidic buffer

  14. Genetic Analysis and Combining Ability Studies for Yield Related Characters in Rapeseed

    Directory of Open Access Journals (Sweden)

    Aamar Shehzad

    2015-09-01

    Full Text Available Combining ability analysis has a key position in rapeseed breeding. To estimate the combining ability effects for yield controlling traits in rapeseed, three testers and five lines were crossed using line × tester design in randomized complete block design with three replications. Mean sum of squares of analysis of variances for genotypes were significant for all of the traits; indicating the presence of significant genetic variation. All the interactions between lines and testers exhibited significant results of mean sum of squares for combining ability. Line ‘Duncled’ was found good general combiner for decreased Plant height (PH:-2.0, Days taken to 50% flowering (DF: -15.8 and Days taken to maturity (DM:-3.4 while tester ‘Punjab Sarson” for increased Number of seed/siliqua (SS: 2.2, Number of siliquae/plant (SP: 2.2 and decreased DF (-3.0 traits. Significant general and specific combining ability effects were observed. The best hybrid combination on the basis of specific combining ability effects was “Durre-NIFA × ZN-M-6” for Seed yield/plant (SY: 2.7, DF (-6.1 and DM (-3.5. PH (-0.2, Siliqua length (SL: -0.1, SS (-0.03 and SY (0.2 showed non-additive genetic effects. The half of the characters revealed additive and remaining half showed non-additive genetic effects. The present study unveiled the importance of both type of genetic effects demanding the application of integrated breeding approaches for exploiting the variability. ‘Punjab Sarson × ZN-M-6’ exposed maximum SS (30 and SP (837. Maximum SY (75.9g and minimum DF (64 were showed by ‘Legend × Duncled’. The present research delivers valuable information of genotypes for promoting yield by means of improving yield related characters.

  15. Human Factors Analysis in Software Engineering

    Institute of Scientific and Technical Information of China (English)

    Xu Ren-zuo; Ma Ruo-feng; Liu Li-na; Xiong Zhong-wei

    2004-01-01

    The general human factors analysis analyzes human functions, effects and influence in a system. But in a narrow sense, it analyzes human influence upon the reliability of a system, it includes traditional human reliability analysis, human error analysis, man-machine interface analysis, human character analysis, and others. A software development project in software engineering is successful or not to be completely determined by human factors. In this paper, we discuss the human factors intensions, declare the importance of human factors analysis for software engineering by listed some instances. At last, we probe preliminarily into the mentality that a practitioner in software engineering should possess.

  16. A factor analysis to detect factors influencing building national brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    Full Text Available Developing a national brand is one of the most important issues for development of a brand. In this study, we present factor analysis to detect the most important factors in building a national brand. The proposed study uses factor analysis to extract the most influencing factors and the sample size has been chosen from two major auto makers in Iran called Iran Khodro and Saipa. The questionnaire was designed in Likert scale and distributed among 235 experts. Cronbach alpha is calculated as 84%, which is well above the minimum desirable limit of 0.70. The implementation of factor analysis provides six factors including “cultural image of customers”, “exciting characteristics”, “competitive pricing strategies”, “perception image” and “previous perceptions”.

  17. Mammography performance in Oman: Review of factors influencing cancer yield and positive predictive value.

    Science.gov (United States)

    Taif, Sawsan; Tufail, Fatma; Alnuaimi, Ahmed Sameer

    2016-06-01

    The aim of this study is to assess mammography performance in Oman by estimating the breast cancer rate and the positive predictive value (PPV) with the influence of some variables. This cross-sectional study was conducted on mammograms done in one of the three main breast imaging centers in Oman between January 2008 and July 2012. Diagnostic and screening groups were identified and assessed separately. Rate of abnormal mammograms, rate of breast cancer and the PPV were estimated according to Breast Imaging Reporting and Data System (BIRADS) score, presence of breast lump and patient's age. Total of 653 mammograms were included, 254 diagnostic and 399 screening. Abnormal mammograms (BIRADS 4 and 5) form 31.9% of the diagnostic examinations compared with 6.8% of screening examinations. Breast cancer was present in 17.9% of the diagnostic compared with 1.0% of the screening group. The PPV of BIRADS 5 was 94.1%, and for BIRADS 4 was 37.1 and 26.7% for diagnostic and screening studies. Overall PPV for abnormal mammograms was 65.2% in the diagnostic and 26.7% in the screening group. Mammography PPV shows positive association with age (P = 0.039) while presence of breast lump has no significant effect on the PPV (P = 0.38). BIRADS 5 score was found to have a high cancer yield making it a strong predictor of cancer. Different results were obtained in the diagnostic compared with screening mammography with higher rates of abnormal mammograms and breast cancer. Mammography performance should be better in the older women. © 2014 Wiley Publishing Asia Pty Ltd.

  18. Measurement Bias Detection through Factor Analysis

    Science.gov (United States)

    Barendse, M. T.; Oort, F. J.; Werner, C. S.; Ligtvoet, R.; Schermelleh-Engel, K.

    2012-01-01

    Measurement bias is defined as a violation of measurement invariance, which can be investigated through multigroup factor analysis (MGFA), by testing across-group differences in intercepts (uniform bias) and factor loadings (nonuniform bias). Restricted factor analysis (RFA) can also be used to detect measurement bias. To also enable nonuniform…

  19. Parameters of AMMI Model for Yield Stability Analysis in Durum Wheat

    Directory of Open Access Journals (Sweden)

    Naser Sabaghnia

    2013-06-01

    Full Text Available The improvement of new genotypes with acceptable yield stability in different environments is an important issue in breeding programs. In order to study genotype × environment (GE interaction and to determine the most stable durum wheat genotypes, field experiments were conducted with 20 genotypes for three years (2007-2009. Results showed highly significant GE interaction indicating the possibility of selection for the most stable genotypes. The AMMI (additive main effect and multiplicative interaction analysis indicated that the first five axes were significant based on F-test of Gollob while the other tests (FGH1 and FGH2 identified first three axes as significant AMMI model components. Furthermore, according to FRatio test and cross validation results, only first two axes were significant. According to these distinct numbers of significant axes, sixteen AMMI stability parameters plus ASV(AMMI stability value were computed. Our results showed that EV- and D-based parameters, displayed G7 and G8, SIPC-based parameters indicated G3 and G4 and AMGE-based parameters identified G15 as the most stable genotypes. Genotypes G15 and G7 were the highest mean yielding genotypes and so they could be regarded as the most favorable durum wheat genotypes. The results of this investigation proved that the most of AMMI stability parameters are suitable indices for discriminating stable genotypes and AMGE-based parameters can detect highly seed yield genotypes with good stability.

  20. Parameters of AMMI Model for Yield Stability Analysis in Durum Wheat

    Directory of Open Access Journals (Sweden)

    Naser Sabaghnia

    2013-07-01

    Full Text Available The improvement of new genotypes with acceptable yield stability in different environments is an important issue in breeding programs. In order to study genotype × environment (GE interaction and to determine the most stable durum wheat genotypes, field experiments were conducted with 20 genotypes for three years (2007-2009. Results showed highly significant GE interaction indicating the possibility of selection for the most stable genotypes. The AMMI (additive main effect and multiplicative interaction analysis indicated that the first five axes were significant based on F-test of Gollob while the other tests (FGH1 and FGH2 identified first three axes as significant AMMI model components. Furthermore, according to FRatio test and cross validation results, only first two axes were significant. According to these distinct numbers of significant axes, sixteen AMMI stability parameters plus ASV (AMMI stability value were computed. Our results showed that EV- and D-based parameters, displayed G7 and G8, SIPC-based parameters indicated G3 and G4 and AMGE-based parameters identified G15 as the most stable genotypes. Genotypes G15 and G7 were the highest mean yielding genotypes and so they could be regarded as the most favorable durum wheat genotypes. The results of this investigation proved that the most of AMMI stability parameters are suitable indices for discriminating stable genotypes and AMGE-based parameters can detect highly seed yield genotypes with good stability.

  1. Use of Selection Indices Based on Multivariate Analysis for Improving Grain Yield in Rice

    Institute of Scientific and Technical Information of China (English)

    Hossein SABOURI; Babak RABIEI; Maryam FAZLALIPOUR

    2008-01-01

    In order to study selection indices for improving rice grain yield, a cross was made between an Iranian traditional rice (Oryza sativa L.) variety, Tarommahalli and an improved indica rice variety, Khazar in 2006. The traits of the parents (30 plants), F1 (30 plants) and F2 generations (492 individuals) were evaluated at the Rice Research institute of Iran (RRII) during 2007. Heritabilities of the number of panicles per plant, plant height, days to heading and panicle exsertion were greater than that of grain yield. The selection indices were developed using the results of multivariate analysis. To evaluate selection strategies to maximize grain yield, 14 selection indices were calculated based on two methods (optimum and base) and combinations of 12 traits with various economic weights. Results of selection indices showed that selection for grain weight, number of panicles per plant and panicle length by using their phenotypic and/or genotypic direct effects (path coefficient) as economic weights should serve as an effective selection criterion for using either the optimum or base index.

  2. Analysis of variability, heritability, and interrelationships among grain yield and related characters in barley advanced lines

    Directory of Open Access Journals (Sweden)

    Ahmadi Jafar

    2016-01-01

    Full Text Available The main goal of this study was to improve pure lines for low input agricultural areas of the semi-arid region of Iran and similar environmental conditions. Forty barley pure lines provided from ICARDA along with three check cultivars were evaluated under rain-fed conditions in a semi-arid region of Iran during two years (2011-2013. The experiments were conducted in a randomized complete block design with four replications to estimate genetic variation and heritability for agro-morphological traits. The highest values of phenotypic and genotypic coefficients of variation were observed for the number of grains per spike followed by peduncle length, early vigor and grain yield. The broad heritability estimates ranged from 24% for grain yield to 96% for the number of grains per spike. The highest and lowest expected genetic advance, observed for days to physiological maturity and the number of grains per spike, respectively. Results of stepwise regression and path analysis showed that hectoliter grain weight and thousand grain weight exhibited the highest direct effects on grain yield, respectively. Comparisons between the pure lines and check cultivars indicated that out of 40 pure lines, 27 lines had a higher grain yield. Also, the pure lines No. 29, 13, 9 and 33 were identified as the superior lines for semi-arid environmental conditions. Our results indicate that check cultivars could be improved by selecting for pure lines with taller peduncle and the number of grains per spike, but with heavier grains. Therefore, these lines can be used as genetic material to broaden the genetic basis of barley breeding programs all over the world.

  3. Factors Affecting Specific-Capacity Tests and their Application--A Study of Six Low-Yielding Wells in Fractured-Bedrock Aquifers in Pennsylvania

    Science.gov (United States)

    Risser, Dennis W.

    2010-01-01

    This report by the U.S. Geological Survey, prepared in cooperation with the Pennsylvania Department of Environmental Protection, Bureau of Mining and Reclamation, evaluates factors affecting the application of specific-capacity tests in six low-yielding water wells in areas of coal mining or quarrying in Pennsylvania. Factors such as pumping rate, duration of pumping, aquifer properties, wellbore storage, and turbulent flow were assessed by theoretical analysis and by completing multiple well tests, selected to be representative of low-yielding household-supply wells in areas of active coal mining or quarrying. All six wells were completed in fractured-bedrock aquifers--five in coal-bearing shale, siltstone, sandstone, limestone, and coal of Pennsylvanian and Permian age and one in limestone of Cambrian age. The wells were pumped 24 times during 2007-09 at rates from 0.57 to 14 gallons per minute during tests lasting from 22 to 240 minutes. Geophysical logging and video surveys also were completed to determine the depth, casing length, and location of water-yielding zones in each of the test wells, and seasonal water-level changes were measured during 2007-09 by continuous monitoring at each well. The tests indicated that specific-capacity values were reproducible within about ? 20 percent if the tests were completed at the same pumping rate and duration. A change in pumping duration, pumping rate, or saturated aquifer thickness can have a substantial effect on the comparability of repeated tests. The largest effect was caused by a change in aquifer thickness in well YO 1222 causing specific capacity from repeated tests to vary by a factor of about 50. An increase in the duration of pumping from 60 to 180 minutes caused as much as a 62 percent decrease in specific capacity. The effect of differing pumping rates on specific capacity depends on whether or not the larger rate causes the water level in the well to fall below a major water-yielding zone; when this

  4. Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets

    Directory of Open Access Journals (Sweden)

    Alex D. Washburne

    2017-02-01

    Full Text Available Marker gene sequencing of microbial communities has generated big datasets of microbial relative abundances varying across environmental conditions, sample sites and treatments. These data often come with putative phylogenies, providing unique opportunities to investigate how shared evolutionary history affects microbial abundance patterns. Here, we present a method to identify the phylogenetic factors driving patterns in microbial community composition. We use the method, “phylofactorization,” to re-analyze datasets from the human body and soil microbial communities, demonstrating how phylofactorization is a dimensionality-reducing tool, an ordination-visualization tool, and an inferential tool for identifying edges in the phylogeny along which putative functional ecological traits may have arisen.

  5. Age-Related Yield of Adipose-Derived Stem Cells Bearing the Low-Affinity Nerve Growth Factor Receptor

    Directory of Open Access Journals (Sweden)

    Raquel Cuevas-Diaz Duran

    2013-01-01

    Full Text Available Adipose-derived stem cells (ADSCs are a heterogeneous cell population that may be enriched by positive selection with antibodies against the low-affinity nerve growth factor receptor (LNGFR or CD271, yielding a selective cell universe with higher proliferation and differentiation potential. This paper addresses the need for determining the quantity of ADSCs positive for the CD271 receptor and its correlation with donor's age. Mononuclear cells were harvested from the lower backs of 35 female donors and purified using magnetic beads. Multipotency capacity was tested by the expression of stemness genes and through differentiation into preosteoblasts and adipocytes. A significant statistical difference was found in CD271+ concentrations between defined age intervals. The highest yield was found within women on the 30–40-year-old age range. CD271+ ADSCs from all age groups showed differentiation capabilities as well as expression of typical multipotent stem cell genes. Our data suggest that the amount of CD271+ cells correlates inversely with age. However, the ability to obtain these cells was maintained through all age ranges with a yield higher than what has been reported from bone marrow. Our findings propose CD271+ ADSCs as the primary choice for tissue regeneration and autologous stem cell therapies in older subjects.

  6. Analysis of the thermal profiles and the charcoal gravimetric yield in three variations of rectangular brick

    Energy Technology Data Exchange (ETDEWEB)

    Oliveira, Rogerio Lima Mota de; Alves Junior, Edson; Mulina, Bruno Henrique Oliveira; Borges, Valerio Luiz; Carvalho, Solidonio Rodrigues de [Federal University of Uberlandia - UFU, MG (Brazil). School of Mechanical Engineering - FEMEC], e-mails: rogerio@mecanica.ufu.br, edson@mec.ufu.br, vlborges@mecanica.ufu.br, srcarvalho@mecanica.ufu.br

    2010-07-01

    Charcoal assumes a major role in Brazilian economic scenario. The procedure for obtaining charcoal consists in carbonization of wood at certain specific temperatures in kilns. This ancient process has a few joined technologies and the kilns for such practice do not have any control instruments, in their great majority, becoming dependent on the ability of its operators. However, in recent decades several studies have been developed to improve the practice as well as the equipment that involve and control the stages of charcoal production. In this sense, this work proposes the analysis of the thermal profiles and the gravimetric yield in three variations of a rectangular brick kiln called RAC220: traditional (without any type of instrumentation), instrumented with thermal sensors (RTD PT100) and adapted with gasifier. The goal is to correlate temperature, gravimetric yield and quality of the produced charcoal. Immediate analyses were performed to determine the amount of fixed carbon, volatile gases and ashes contents in charcoal. Through such measurement procedures, together with statistical analysis, the aim is to identify an important tool to reduce the time of charcoal production and also contributes to minimize losses and to increase the thermal efficiency of the production process. (author)

  7. Statistical circuit design for yield improvement in CMOS circuits

    Science.gov (United States)

    Kamath, H. J.; Purviance, J. E.; Whitaker, S. R.

    1990-01-01

    This paper addresses the statistical design of CMOS integrated circuits for improved parametric yield. The work uses the Monte Carlo technique of circuit simulation to obtain an unbiased estimation of the yield. A simple graphical analysis tool, the yield factor histogram, is presented. The yield factor histograms are generated by a new computer program called SPICENTER. Using the yield factor histograms, the most sensitive circuit parameters are noted, and their nominal values are changed to improve the yield. Two basic CMOS example circuits, one analog and one digital, are chosen and their designs are 'centered' to illustrate the use of the yield factor histograms for statistical circuit design.

  8. Expression of barley SUSIBA2 transcription factor yields high-starch low-methane rice

    Energy Technology Data Exchange (ETDEWEB)

    Su, J.; Hu, C.; Yan, X.; Jin, Y.; Chen, Z.; Guan, Q.; Wang, Y.; Zhong, D.; Jansson, Georg C.; Wang, F.; Schnrer, Anna; Sun, Chuanxin

    2015-07-22

    Atmospheric methane is the second most important greenhouse gas after carbon dioxide, and is responsible for about 20% of the global warming effect since pre-industrial times. Rice paddies are the largest anthropogenic methane source and produce 7–17% of atmospheric methane. Warm waterlogged soil and exuded nutrients from rice roots provide ideal conditions for methanogenesis in paddies with annual methane emissions of 25–100-million tonnes. This scenario will be exacerbated by an expansion in rice cultivation needed to meet the escalating demand for food in the coming decades4. There is an urgent need to establish sustainable technologies for increasing rice production while reducing methane fluxes from rice paddies. However, ongoing efforts for methane mitigation in rice paddies are mainly based on farming practices and measures that are difficult to implement5. Despite proposed strategies to increase rice productivity and reduce methane emissions4,6, no high-starch low-methane-emission rice has been developed. Here we show that the addition of a single transcription factor gene, barley SUSIBA2, conferred a shift of carbon flux to SUSIBA2 rice, favouring the allocation of photosynthates to aboveground biomass over allocation to roots. The altered allocation resulted in an increased biomass and starch content in the seeds and stems, and suppressed methanogenesis, possibly through a reduction in root exudates. Three-year field trials in China demonstrated that the cultivation of SUSIBA2 rice was associated with a significant reduction in methane emissions and a decrease in rhizospheric methanogen levels. SUSIBA2 rice offers a sustainable means of providing increased starch content for food production while reducing greenhouse gas emissions from rice cultivation. Approaches to increase rice productivity and reduce methane emissions as seen in SUSIBA2 rice may be particularly beneficial in a future climate with rising temperatures resulting in increased methane

  9. Expression of barley SUSIBA2 transcription factor yields high-starch low-methane rice

    Science.gov (United States)

    Su, J.; Hu, C.; Yan, X.; Jin, Y.; Chen, Z.; Guan, Q.; Wang, Y.; Zhong, D.; Jansson, C.; Wang, F.; Schnürer, A.; Sun, C.

    2015-07-01

    Atmospheric methane is the second most important greenhouse gas after carbon dioxide, and is responsible for about 20% of the global warming effect since pre-industrial times. Rice paddies are the largest anthropogenic methane source and produce 7-17% of atmospheric methane. Warm waterlogged soil and exuded nutrients from rice roots provide ideal conditions for methanogenesis in paddies with annual methane emissions of 25-100-million tonnes. This scenario will be exacerbated by an expansion in rice cultivation needed to meet the escalating demand for food in the coming decades. There is an urgent need to establish sustainable technologies for increasing rice production while reducing methane fluxes from rice paddies. However, ongoing efforts for methane mitigation in rice paddies are mainly based on farming practices and measures that are difficult to implement. Despite proposed strategies to increase rice productivity and reduce methane emissions, no high-starch low-methane-emission rice has been developed. Here we show that the addition of a single transcription factor gene, barley SUSIBA2 (refs 7, 8), conferred a shift of carbon flux to SUSIBA2 rice, favouring the allocation of photosynthates to aboveground biomass over allocation to roots. The altered allocation resulted in an increased biomass and starch content in the seeds and stems, and suppressed methanogenesis, possibly through a reduction in root exudates. Three-year field trials in China demonstrated that the cultivation of SUSIBA2 rice was associated with a significant reduction in methane emissions and a decrease in rhizospheric methanogen levels. SUSIBA2 rice offers a sustainable means of providing increased starch content for food production while reducing greenhouse gas emissions from rice cultivation. Approaches to increase rice productivity and reduce methane emissions as seen in SUSIBA2 rice may be particularly beneficial in a future climate with rising temperatures resulting in increased

  10. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, P.K.

    1982-01-01

    With the use of atomic and nuclear methods to analyze samples for a multitude of elements, very large data sets have been generated. Due to the ease of obtaining these results with computerized systems, the elemental data acquired are not always as thoroughly checked as they should be leading to some, if not many, bad data points. It is advantageous to have some feeling for the trouble spots in a data set before it is used for further studies. A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors.

  11. Long-duration effect of multi-factor stresses on the cellular biochemistry, oil-yielding performance and morphology of Nannochloropsis oculata.

    Science.gov (United States)

    Wei, Likun; Huang, Xuxiong

    2017-01-01

    Microalga Nannochloropsis oculata is a promising alternative feedstock for biodiesel. Elevating its oil-yielding capacity is conducive to cost-saving biodiesel production. However, the regulatory processes of multi-factor collaborative stresses (MFCS) on the oil-yielding performance of N. oculata are unclear. The duration effects of MFCS (high irradiation, nitrogen deficiency and elevated iron supplementation) on N. oculata were investigated in an 18-d batch culture. Despite the reduction in cell division, the biomass concentration increased, resulting from the large accumulation of the carbon/energy-reservoir. However, different storage forms were found in different cellular storage compounds, and both the protein content and pigment composition swiftly and drastically changed. The analysis of four biodiesel properties using pertinent empirical equations indicated their progressive effective improvement in lipid classes and fatty acid composition. The variation curve of neutral lipid productivity was monitored with fluorescent Nile red and was closely correlated to the results from conventional methods. In addition, a series of changes in the organelles (e.g., chloroplast, lipid body and vacuole) and cell shape, dependent on the stress duration, were observed by TEM and LSCM. These changes presumably played an important role in the acclimation of N. oculata to MFCS and accordingly improved its oil-yielding performance.

  12. The determinants of the bias in Minimum Rank Factor Analysis (MRFA)

    NARCIS (Netherlands)

    Socan, G; ten Berge, JMF; Yanai, H; Okada, A; Shigemasu, K; Kano, Y; Meulman, JJ

    2003-01-01

    Minimum Rank Factor Analysis (MRFA), see Ten Berge (1998), and Ten Berge and Kiers (1991), is a method of common factor analysis which yields, for any given covariance matrix Sigma, a diagonal matrix Psi of unique variances which are nonnegative and which entail a reduced covariance matrix Sigma-Psi

  13. Yield stability and adaptability of maize hybrids based on GGE biplot analysis characteristics

    Directory of Open Access Journals (Sweden)

    Marcio Balestre

    2009-01-01

    Full Text Available The objective of this study was to evaluate stability and adaptability of the grain yield of commercial intervarietalmaize hybrids by the GGE (Genotype and Genotype by Environment Interaction biplot and AMMI (Additive Main Effects andMultiplicative Interaction analyses. Two intervarietal hybrids (BIO 2 and BIO4 were evaluated together with single, doubleand three-way cross hybrids. The performance of the intervarietal hybrid BIO 4 was superior to all double and three-waycross hybrids and outmatched the single-cross hybrids by 43%. In terms of stability, BIO 2 was more stable than BIO4, whichis desirable, but biological stability, which is not necessarily desirable, was also observed, since the yield was below theenvironmental mean. The graphical GGE biplot analysis was superior to the AMMI1 since a greater portion of the sum ofsquares of GE and G+GE was captured and the predictive accuracy was higher. On the other hand, the AMMI2 graphoutperformed the GGE biplot in predictive accuracy and explanation of G + GE and GE, although the difference in accuracywas smaller than between GGE2 and AMMI1.

  14. Candidate gene association analysis for milk yield, composition, urea nitrogen and somatic cell scores in Brown Swiss cows.

    Science.gov (United States)

    Cecchinato, A; Ribeca, C; Chessa, S; Cipolat-Gotet, C; Maretto, F; Casellas, J; Bittante, G

    2014-07-01

    The aim of this study was to investigate 96 single-nucleotide polymorphisms (SNPs) from 54 candidate genes, and test the associations of the polymorphic SNPs with milk yield, composition, milk urea nitrogen (MUN) content and somatic cell score (SCS) in individual milk samples from Italian Brown Swiss cows. Milk and blood samples were collected from 1271 cows sampled once from 85 herds. Milk production, quality traits (i.e. protein, casein, fat and lactose percentages), MUN and SCS were measured for each milk sample. Genotyping was performed using a custom Illumina VeraCode GoldenGate approach. A Bayesian linear animal model that considered the effects of herd, days in milk, parity, SNP genotype and additive polygenic effect was used for the association analysis. Our results showed that 14 of the 51 polymorphic SNPs had relevant additive effects on at least one of the aforementioned traits. Polymorphisms in the glucocorticoid receptor DNA-binding factor 1 (GRLF1), prolactin receptor (PRLR) and chemokine ligand 2 (CCL2) were associated with milk yield; an SNP in the stearoyl-CoA desaturase (SCD-1) was related to fat content; SNPs in the caspase recruitment domain 15 protein (CARD15) and lipin 1 (LPIN1) affected the protein and casein contents; SNPs in growth hormone 1 (GH1), lactotransferrin (LTF) and SCD-1 were relevant for casein number; variants in beta casein (CSN2), GH1, GRLF1 and LTF affected lactose content; SNPs in beta-2 adrenergic receptor (ADRB2), serpin peptidase inhibitor (PI) and SCD-1 were associated with MUN; and SNPs in acetyl-CoA carboxylase alpha (ACACA) and signal transducer and activator of transcription 5A (STAT5A) were relevant in explaining the variation of SCS. Although further research is needed to validate these SNPs in other populations and breeds, the association between these markers and milk yield, composition, MUN and SCS could be exploited in gene-assisted selection programs for genetic improvement purposes.

  15. Analysis of factors affecting fattening of chickens

    OpenAIRE

    OBERMAJEROVÁ, Barbora

    2013-01-01

    Poultry meat belongs to the basic assortment of human nutrition. The meat of an intensively fattened poultry is a source of easily digestible proteins, lipids, mineral substances and vitamins. The aim of this bachelor´s thesis was to write out a literature review, which is focused on the intensity of growth, carcass yield, quality and composition of broiler chickens meat. The following describes the internal and external factors that affect them, i.e. genetic foundation, hybrid combination, s...

  16. PROGNOSTIC FACTORS ANALYSIS FOR STAGEⅠ RECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    武爱文; 顾晋; 薛钟麒; 王怡; 徐光炜

    2001-01-01

    To explore the death-related factors of stageⅠrectal cancer patients. Methods: 89 cases of stage I rectal cancer patients between 1985 and 2000 were retrospectively studied for prognostic factors. Factors including age, gender, tumor size, circumferential occupation, gross type, pathological type, depth of tumor invasion, surgical procedure, adjuvant chemotherapy and postoperative complication were chosen for cox multivariate analysis (forward procedure) using Spss software (10.0 version). Results: multivariate analysis demonstrated that muscular invasion was an independent negative prognostic factor for stageⅠrectal cancer patients (P=0.003). Conclusion: Muscular invasion is a negative prognostic factor for stage I rectal cancer patients.

  17. Analysis of a Regularized Bingham Model with Pressure-Dependent Yield Stress

    Science.gov (United States)

    El Khouja, Nazek; Roquet, Nicolas; Cazacliu, Bogdan

    2015-12-01

    The goal of this article is to provide some essential results for the solution of a regularized viscoplastic frictional flow model adapted from the extensive mathematical analysis of the Bingham model. The Bingham model is a standard for the description of viscoplastic flows and it is widely used in many application areas. However, wet granular viscoplastic flows necessitate the introduction of additional non-linearities and coupling between velocity and stress fields. This article proposes a step toward a frictional coupling, characterized by a dependence of the yield stress to the pressure field. A regularized version of this viscoplastic frictional model is analysed in the framework of stationary flows. Existence, uniqueness and regularity are investigated, as well as finite-dimensional and algorithmic approximations. It is shown that the model can be solved and approximated as far as a frictional parameter is small enough. Getting similar results for the non-regularized model remains an issue. Numerical investigations are postponed to further works.

  18. Enhancing the secretory yields of leech carboxypeptidase inhibitor in Escherichia coli: influence of trigger factor and signal recognition particle.

    Science.gov (United States)

    Puertas, Juan-Miguel; Nannenga, Brent L; Dornfeld, Kevin T; Betton, Jean-Michel; Baneyx, François

    2010-11-01

    The signal recognition particle (SRP) dependent secretion pathway is as an attractive alternative to Sec-dependent export for the production of disulfide-bonded and/or fast-folding recombinant proteins in the Escherichia coli periplasm. SRP, which shares a ribosomal attachment site with the molecular chaperone trigger factor (TF), recognizes highly hydrophobic signal sequence as they emerge from the ribosome and delivers ribosome nascent chain complexes to FtsY for subsequent cotranslational translocation of target proteins across the SecYEG pore. However, like in the case of Sec-dependent export, secretory yields can be limited by the accumulation of precursor proteins in the cytoplasm. Using leech carboxypeptidase inhibitor (LCI) fused to the SRP-dependent DsbA signal sequence as a model system, we show that a null mutation in the gene encoding TF (Deltatig) or SRP co-expression reduce pre-LCI accumulation by half, and that quantitative export can be achieved by combining the two strategies. Interestingly, enhanced precursor processing did not alter periplasmic LCI levels but increased the amount of protein excreted in the growth medium. All mature LCI was nearly fully active and an 80% increase in productivity was achieved in Deltatig cells alone due to their faster growth. Our results show that competition between SRP and TF can interfere with efficient export of recombinant proteins targeted to the SRP pathway and establish TF-deficient strains and SRP co-expression as a simple solution to improve yields.

  19. High-yield expression of human vascular endothelial growth factor VEGF(165) in Escherichia coli and purification for therapeutic applications.

    Science.gov (United States)

    Pizarro, Shelly A; Gunson, Jane; Field, Matthew J; Dinges, Rachel; Khoo, Stefanie; Dalal, Milind; Lee, Michael; Kaleas, Kimberly A; Moiseff, Kathryn; Garnick, Susan; Reilly, Dorothea E; Laird, Michael W; Schmelzer, Charles H

    2010-08-01

    Vascular endothelial growth factor (VEGF(165)) is a potent mitogen that induces angiogenesis and vascular permeability in vivo and has demonstrated potential in therapeutic applications for accelerating wound healing. An industrial production method that provides high yield as well as high purity, quality, and potency is needed. The process described in this report involves a bacterial expression system capable of producing approximately 9g of rhVEGF per liter of broth and a downstream purification process consisting of protein refolding and three chromatography steps prior to formulation of the drug substance. A high cell density (HCD) fed-batch fermentation process was used to produce rhVEGF in periplasmic inclusion bodies. The inclusion bodies are harvested from the cell lysate and subjected to a single-step protein solubilization and refolding operation to extract the rhVEGF for purification. Overall recovery yields observed during development, including refolding and chromatography, were 30+/-6%. Host cell impurities are consistently cleared below target levels at both laboratory and large-scale demonstrating process robustness. The structure of the refolded and purified rhVEGF was confirmed by mass spectrometry, N-terminal sequencing, and tryptic peptide mapping while product variants were analyzed by multiple HPLC assays. Biological activity was verified by the proliferation of human umbilical vein derived endothelial cells. Copyright 2010 Elsevier Inc. All rights reserved.

  20. ROI on yield data analysis systems through a business process management strategy

    Science.gov (United States)

    Rehani, Manu; Strader, Nathan; Hanson, Jeff

    2005-05-01

    The overriding motivation for yield engineering is profitability. This is achieved through application of yield management. The first application is to continually reduce waste in the form of yield loss. New products, new technologies and the dynamic state of the process and equipment keep introducing new ways to cause yield loss. In response, the yield management efforts have to continually come up with new solutions to minimize it. The second application of yield engineering is to aid in accurate product pricing. This is achieved through predicting future results of the yield engineering effort. The more accurate the yield prediction, the more accurate the wafer start volume, the more accurate the wafer pricing. Another aspect of yield prediction pertains to gauging the impact of a yield problem and predicting how long that will last. The ability to predict such impacts again feeds into wafer start calculations and wafer pricing. The question then is that if the stakes on yield management are so high why is it that most yield management efforts are run like science and engineering projects and less like manufacturing? In the eighties manufacturing put the theory of constraints1 into practice and put a premium on stability and predictability in manufacturing activities, why can't the same be done for yield management activities? This line of introspection led us to define and implement a business process to manage the yield engineering activities. We analyzed the best known methods (BKM) and deployed a workflow tool to make them the standard operating procedure (SOP) for yield managment. We present a case study in deploying a Business Process Management solution for Semiconductor Yield Engineering in a high-mix ASIC environment. We will present a description of the situation prior to deployment, a window into the development process and a valuation of the benefits.

  1. Genome-Wide Identification of Differentially Expressed Genes Associated with the High Yielding of Oleoresin in Secondary Xylem of Masson Pine (Pinus massoniana Lamb by Transcriptomic Analysis.

    Directory of Open Access Journals (Sweden)

    Qinghua Liu

    Full Text Available Masson pine is an important timber and resource for oleoresin in South China. Increasing yield of oleoresin in stems can raise economic benefits and enhance the resistance to bark beetles. However, the genetic mechanisms for regulating the yield of oleoresin were still unknown. Here, high-throughput sequencing technology was used to investigate the transcriptome and compare the gene expression profiles of high and low oleoresin-yielding genotypes. A total of 40,690,540 reads were obtained and assembled into 137,499 transcripts from the secondary xylem tissues. We identified 84,842 candidate unigenes based on sequence annotation using various databases and 96 unigenes were candidates for terpenoid backbone biosynthesis in pine. By comparing the expression profiles of high and low oleoresin-yielding genotypes, 649 differentially expressed genes (DEGs were identified. GO enrichment analysis of DEGs revealed that multiple pathways were related to high yield of oleoresin. Nine candidate genes were validated by QPCR analysis. Among them, the candidate genes encoding geranylgeranyl diphosphate synthase (GGPS and (--alpha/beta-pinene synthase were up-regulated in the high oleoresin-yielding genotype, while tricyclene synthase revealed lower expression level, which was in good agreement with the GC/MS result. In addition, DEG encoding ABC transporters, pathogenesis-related proteins (PR5 and PR9, phosphomethylpyrimidine synthase, non-specific lipid-transfer protein-like protein and ethylene responsive transcription factors (ERFs were also confirmed to be critical for the biosynthesis of oleoresin. The next-generation sequencing strategy used in this study has proven to be a powerful means for analyzing transcriptome variation related to the yield of oleoresin in masson pine. The candidate genes encoding GGPS, (--alpha/beta-pinene, tricyclene synthase, ABC transporters, non-specific lipid-transfer protein-like protein, phosphomethylpyrimidine synthase

  2. Human combinatorial Fab library yielding specific and functional antibodies against the human fibroblast growth factor receptor 3.

    Science.gov (United States)

    Rauchenberger, Robert; Borges, Eric; Thomassen-Wolf, Elisabeth; Rom, Eran; Adar, Rivka; Yaniv, Yael; Malka, Michael; Chumakov, Irina; Kotzer, Sarit; Resnitzky, Dalia; Knappik, Achim; Reiffert, Silke; Prassler, Josef; Jury, Karin; Waldherr, Dirk; Bauer, Susanne; Kretzschmar, Titus; Yayon, Avner; Rothe, Christine

    2003-10-03

    The human combinatorial antibody library Fab 1 (HuCAL-Fab 1) was generated by transferring the heavy and light chain variable regions from the previously constructed single-chain Fv library (Knappik, A., Ge, L., Honegger, A., Pack, P., Fischer, M., Wellnhofer, G., Hoess, A., Wölle, J., Plückthun, A., and Virnekäs, B. (2000) J. Mol. Biol. 296, 57-86), diversified in both complementarity-determining regions 3 into a novel Fab display vector, yielding 2.1 x 10(10) different antibody fragments. The modularity has been retained in the Fab display and screening plasmids, ensuring rapid conversion into various antibody formats as well as antibody optimization using prebuilt maturation cassettes. HuCAL-Fab 1 was challenged against the human fibroblast growth factor receptor 3, a potential therapeutic antibody target, against which, to the best of our knowledge, no functional antibodies could be generated so far. A unique screening mode was designed utilizing recombinant functional proteins and cell lines differentially expressing fibroblast growth factor receptor isoforms diversified in expression and receptor dependence. Specific Fab fragments with subnanomolar affinities were isolated by selection without any maturation steps as determined by fluorescence flow cytometry. Some of the selected Fab fragments completely inhibit target-mediated cell proliferation, rendering them the first monoclonal antibodies against fibroblast growth factor receptors having significant function blocking activity. This study validates HuCAL-Fab 1 as a valuable source for the generation of target-specific antibodies for therapeutic applications.

  3. Kernel Factor Analysis Algorithm with Varimax

    Institute of Scientific and Technical Information of China (English)

    Xia Guoen; Jin Weidong; Zhang Gexiang

    2006-01-01

    Kernal factor analysis (KFA) with varimax was proposed by using Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and was compared with the kernel principle component analysis (KPCA). The results show that the best error rate in handwritten digit recognition by kernel factor analysis with varimax (4.2%) was superior to KPCA (4.4%). The KFA with varimax could more accurately image handwritten digit recognition.

  4. Soil mulching significantly enhances yields and water and nitrogen use efficiencies of maize and wheat: a meta-analysis.

    Science.gov (United States)

    Qin, Wei; Hu, Chunsheng; Oenema, Oene

    2015-11-20

    Global crop yields are limited by water and nutrient availability. Soil mulching (with plastic or straw) reduces evaporation, modifies soil temperature and thereby affects crop yields. Reported effects of mulching are sometimes contradictory, likely due to differences in climatic conditions, soil characteristics, crop species, and also water and nitrogen (N) input levels. Here we report on a meta-analysis of the effects of mulching on wheat and maize, using 1310 yield observations from 74 studies conducted in 19 countries. Our results indicate that mulching significantly increased yields, WUE (yield per unit water) and NUE (yield per unit N) by up to 60%, compared with no-mulching. Effects were larger for maize than wheat, and larger for plastic mulching than straw mulching. Interestingly, plastic mulching performed better at relatively low temperature while straw mulching showed the opposite trend. Effects of mulching also tended to decrease with increasing water input. Mulching effects were not related to soil organic matter content. In conclusion, soil mulching can significantly increase maize and wheat yields, WUE and NUE, and thereby may contribute to closing the yield gap between attainable and actual yields, especially in dryland and low nutrient input agriculture. The management of soil mulching requires site-specific knowledge.

  5. Multiple factor analysis by example using R

    CERN Document Server

    Pagès, Jérôme

    2014-01-01

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The

  6. Relation Between Maize Yield and Eco-climate Factors%玉米产量与生态气候因子的关系

    Institute of Scientific and Technical Information of China (English)

    马雅丽; 王志伟; 栾青; 胡良温; 张爱芝

    2009-01-01

    By using the integral regression analysis method, the relationship between maize yield and eco-climate factors during 1971 and 2000 in Shanxi Province was analyzed. The result showed that the impacts of temperature and precipitation on maize yield per unit were bigger than that of the sunshine, while the eco-climate had bigger impacts on maize yields in the North Shanxi Province than that in the Middle and South Shanxi Province. For the spring maize, the precipitation had positive impacts on maize yields during seeding period, while the temperature and precipitation had positive impacts on maize yields during jointing and heading stage. The sunshine hours were more than maize needs, and had negative impacts on maize yields in the whole stage of maize. The abundand radiation resource showed a great potential for solar energy utilization of maize production in Shanxi Province. For summer maize, the temperature had negative impacts on maize yields during heading and flowering stage, while the precipitation had negative impacts on maize yields in Yuncheng during jointing and ripening stage, especially cloudy and rainy weather in ripening stage. The study revealed that the impact of ecological climatic factors on maize growing in the different growth stages, and could provide scientific references for making full use of eco-climatic resources in Shanxi Province.%采用多元积分回归的方法,对山西省1971-2000年玉米产量与生态气候因子的关系进行分析研究.结果表明:气温和降水对玉米产量的影响大,日照影响小,北部影响大,中南部影响小.春玉米播种期和苗期降水影响大多为正效应,拔节-抽雄期气温和降水影响为显著正效应,日照时数在全生育期普遍偏多,影响多为负效应,光能资源丰富,光能利用潜力大.夏玉米拔节-开花期气温影响为显著负效应,运城地区降水在拔节-成熟期为负效应,尤其成熟期阴雨天气对产量影响较大.研究结果揭示

  7. Analysis of coelom development in the sea urchin Holopneustes purpurescens yielding a deuterostome body plan.

    Science.gov (United States)

    Morris, Valerie B

    2016-01-01

    An analysis of early coelom development in the echinoid Holopneustes purpurescens yields a deuterostome body plan that explains the disparity between the pentameral plan of echinoderms and the bilateral plans of chordates and hemichordates, the three major phyla of the monophyletic deuterostomes. The analysis shows an early separation into a medial hydrocoele and lateral coelomic mesoderm with an enteric channel between them before the hydrocoele forms the pentameral plan of five primary podia. The deuterostome body plan thus has a single axial or medial coelom and a pair of lateral coeloms, all surrounding an enteric channel, the gut channel. Applied to the phyla, the medial coelom is the hydrocoele in echinoderms, the notochord in chordates and the proboscis coelom in hemichordates: the lateral coeloms are the coelomic mesoderm in echinoderms, the paraxial mesoderm in chordates and the lateral coeloms in hemichordates. The plan fits frog and chick development and the echinoderm fossil record, and predicts genes involved in coelomogenesis as the source of deuterostome macroevolution.

  8. A meta analysis of pancreatic microarray datasets yields new targets as cancer genes and biomarkers.

    Directory of Open Access Journals (Sweden)

    Nalin C W Goonesekere

    Full Text Available The lack of specific symptoms at early tumor stages, together with a high biological aggressiveness of the tumor contribute to the high mortality rate for pancreatic cancer (PC, which has a five year survival rate of less than 5%. Improved screening for earlier diagnosis, through the detection of diagnostic and prognostic biomarkers provides the best hope of increasing the rate of curatively resectable carcinomas. Though many serum markers have been reported to be elevated in patients with PC, so far, most of these markers have not been implemented into clinical routine due to low sensitivity or specificity. In this study, we have identified genes that are significantly upregulated in PC, through a meta-analysis of large number of microarray datasets. We demonstrate that the biological functions ascribed to these genes are clearly associated with PC and metastasis, and that that these genes exhibit a strong link to pathways involved with inflammation and the immune response. This investigation has yielded new targets for cancer genes, and potential biomarkers for pancreatic cancer. The candidate list of cancer genes includes protein kinase genes, new members of gene families currently associated with PC, as well as genes not previously linked to PC. In this study, we are also able to move towards developing a signature for hypomethylated genes, which could be useful for early detection of PC. We also show that the significantly upregulated 800+ genes in our analysis can serve as an enriched pool for tissue and serum protein biomarkers in pancreatic cancer.

  9. Analysis of coelom development in the sea urchin Holopneustes purpurescens yielding a deuterostome body plan

    Directory of Open Access Journals (Sweden)

    Valerie B. Morris

    2016-03-01

    Full Text Available An analysis of early coelom development in the echinoid Holopneustes purpurescens yields a deuterostome body plan that explains the disparity between the pentameral plan of echinoderms and the bilateral plans of chordates and hemichordates, the three major phyla of the monophyletic deuterostomes. The analysis shows an early separation into a medial hydrocoele and lateral coelomic mesoderm with an enteric channel between them before the hydrocoele forms the pentameral plan of five primary podia. The deuterostome body plan thus has a single axial or medial coelom and a pair of lateral coeloms, all surrounding an enteric channel, the gut channel. Applied to the phyla, the medial coelom is the hydrocoele in echinoderms, the notochord in chordates and the proboscis coelom in hemichordates: the lateral coeloms are the coelomic mesoderm in echinoderms, the paraxial mesoderm in chordates and the lateral coeloms in hemichordates. The plan fits frog and chick development and the echinoderm fossil record, and predicts genes involved in coelomogenesis as the source of deuterostome macroevolution.

  10. Natural Pigment Production by Monascus purpureus: Improving the yield in a bioreactor based on statistical analysis

    Directory of Open Access Journals (Sweden)

    Atieh Seyedin

    2015-03-01

    Full Text Available AbstractDue to the especial properties such as high growth rates, easy extraction as well as high yields, using microorganisms in comparison to other sources is more chosen for pigment production. Pigments are used in food industries as natural colorants and preservatives, they also have pharmaceutical applications. In this study, fungus Monascus purpureus PTCC 5303 have been used to produce red, orange and yellow pigments. At first significant variables were screened based on plackett-Burman design and then the optimized value of two effectivefactors such as yeast extract and K2HPO4 concentrations wasoptimized byresponse surface method. Optimal levels of factors were found to be 2/75 g/L yeast extract and1/5 g/LK2HPO4 respectively. Antimicrobial activity of pigments was evaluated on Gram-positive foodborne bacteria under optimal conditionswhich resultsshowed inhibitory effects. Moreover Pigments production at optimal conditions in a bioreactor was evaluatedand the rate of production of red, orange and yellow pigments, 2.05, 1.55 and 0.78 (ODU/ml were observed respectively.  

  11. Comparative analysis of SNP candidates in disparate milk yielding river buffaloes using targeted sequencing

    OpenAIRE

    Menon, Ramesh; Anand B. Patel; Joshi, Chaitanya

    2016-01-01

    River buffalo (Bubalus bubalis) milk plays an important role in economy and nutritious diet in several developing countries. However, reliable milk-yield genomic markers and their functional insights remain unexposed. Here, we have used a target capture sequencing approach in three economically important buffalo breeds namely: Banni, Jafrabadi and Mehsani, belonging to either high or low milk-yield group. Blood samples were collected from the milk-yield/breed balanced group of 12 buffaloes, a...

  12. Analysis of a large dataset of mycorrhiza inoculation field trials on potato shows highly significant increases in yield.

    Science.gov (United States)

    Hijri, Mohamed

    2016-04-01

    An increasing human population requires more food production in nutrient-efficient systems in order to simultaneously meet global food needs while reducing the environmental footprint of agriculture. Arbuscular mycorrhizal fungi (AMF) have the potential to enhance crop yield, but their efficiency has yet to be demonstrated in large-scale crop production systems. This study reports an analysis of a dataset consisting of 231 field trials in which the same AMF inoculant (Rhizophagus irregularis DAOM 197198) was applied to potato over a 4-year period in North America and Europe under authentic field conditions. The inoculation was performed using a liquid suspension of AMF spores that was sprayed onto potato seed pieces, yielding a calculated 71 spores per seed piece. Statistical analysis showed a highly significant increase in marketable potato yield (ANOVA, P < 0.0001) for inoculated fields (42.2 tons/ha) compared with non-inoculated controls (38.3 tons/ha), irrespective of trial year. The average yield increase was 3.9 tons/ha, representing 9.5 % of total crop yield. Inoculation was profitable with a 0.67-tons/ha increase in yield, a threshold reached in almost 79 % of all trials. This finding clearly demonstrates the benefits of mycorrhizal-based inoculation on crop yield, using potato as a case study. Further improvements of these beneficial inoculants will help compensate for crop production deficits, both now and in the future.

  13. Adaptability and stability analysis of the juice yield of yellow passion fruit varieties.

    Science.gov (United States)

    Oliveira, E J; Freitas, J P X; Jesus, O N

    2014-08-26

    This study analyzed the genotype x environment interaction (GE) for the juice productivity (JuProd) of 12 yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) using additive main effects and multiplicative interaction (AMMI) model and auxiliary parameters. The experiments were conducted in eight environments of Bahia State, Brazil, using a randomized block design with three replications. Analysis of variance showed significant effects (P ≤ 0.01) for environments, genotypes, and GE interaction. The first two interaction principal component axes (IPCAs) explained 81.00% of the sum of squares of the GE interaction. The AMMI1 and AMMI2 models showed that varieties 09 and 11 were the most stable. Other parameters, namely, the AMMI stability value (ASV), yield stability (YSI), sustainability, and stability index (StI), indicated that other varieties were more stable. These varying results were certainly a consequence of methodological differences. In contrast, the ranking of varieties for each of the stability parameters showed significant positive correlations (P ≤ 0.05) between IPCA1 x (ASV, YSI), JuProd x (StI, YSI), YSI x ASV, and StI x YSI. Cluster analysis based on the genotypic profile of the effects of the GE interaction identified three groups that correlated with the distribution of varieties in the AMMI1 biplot. However, the classification of stable genotypes was limited because the association with the productivity was not included in the analysis. Variety 08 showed the most stable and productive behavior, ranking above average in half of the environments, and it should be recommended for use.

  14. Analysis of well hydrographs in a karst aquifer: Estimates of specific yields and continuum transmissivities

    Energy Technology Data Exchange (ETDEWEB)

    Shevenell, L.A. [Univ. of Nevada, Reno, NV (United States). Nevada Bureau of Mines and Geology

    1994-11-01

    Hydrograph analysis techniques have been well developed for hydrographs obtained from streams and springs, where data are cast in terms of total discharge. The data obtained from well hydrographs provide water level versus time; hence, a method of hydrograph analysis is required for situations in which only water level data are available. It is hypothesized here that three segments on a recession curve from wells in a karst aquifer represent drainage from three types of storage: conduit (C), fracture (F), and matrix (M). Hydrographs from several wells in a karst aquifer at the U.S. Department of Energy Oak Ridge Y-12 Plant are used to estimate the specific yields (S{sub y}) associated with each portion of the aquifer (C, F, M), as well as continuum transmissivities (T). Data from three short injection tests at one well indicate continuum T at this well bore is {approximately} 5m{sup 2}/d, and tests at numerous other wells in the aquifer yield results between 1 and 7 M{sup 2}/d. The T estimated with well hydrographs from two storm events indicates a T of 9.8 m{sup 2}2/d. Well developed conduit systems in which water levels in wells show a flashy response typically show S{sub y} values of 1{times}10{sup -4}, 1{times}10{sup -3}, and 3{times}10{sup -3}, for C, F, and M. Less well developed conduit areas show more nearly equal S{sub y} values (8.6{times}10{sup -4}, 1.3{times}10{sup -3}, 3{times}10{sup -3}). Areas with no evidence for the presence of conduits have only one, or in some cases two, slopes on the recession curve. In these cases, water level responses are slow. Recession curves with a single slope represent drainage from only the lower T matrix. Those with two slopes have an additional, more rapid response, segment on the recession curve, which represents drainage from the higher T, lower S{sub y}, fractures in the system.

  15. Path and ridge regression analysis of seed yield and seed yield components of Russian wildrye (Psathyrostachys juncea Nevski) under field conditions

    DEFF Research Database (Denmark)

    Wang, Quanzhen; Zhang, Tiejun; Cui, Jian

    2011-01-01

    The correlations among seed yield components, and their direct and indirect effects on the seed yield (Z) of Russina wildrye (Psathyrostachys juncea Nevski) were investigated. The seed yield components: fertile tillers m-2 (Y1), spikelets per fertile tillers (Y2), florets per spikelet- (Y3), seed...

  16. Search for the Higgs Boson in the H{yields} ZZ{sup (*)}{yields}4{mu} Channel in CMS Using a Multivariate Analysis; Busqueda del Boson de Higgs en el Canal H{yields} ZZ{sup (*)}{yields}4{mu} en CMS Empleando un Metodo de Analisis Multivariado

    Energy Technology Data Exchange (ETDEWEB)

    Alonso Diaz, A.

    2007-12-28

    This note presents a Higgs boson search analysis in the CMS detector of the LHC accelerator (CERN, Geneva, Switzerland) in the H{yields} ZZ{sup (*)}{yields}4{mu} channel, using a multivariate method. This analysis, based in a Higgs boson mass dependent likelihood, constructed from discriminant variables, provides a significant improvement of the Higgs boson discovery potential in a wide mass range with respect to the official analysis published by CMS, based in orthogonal cuts independent of the Higgs boson mass. (Author) 8 refs.

  17. Experimental and finite element analysis of fracture criterion in general yielding fracture mechanics

    Indian Academy of Sciences (India)

    D M Kulkarni; Ravi Prakash; A N Kumar

    2002-12-01

    Efforts made over the last three decades to understand the fracture behaviour of structural materials in elastic and elasto-plastic fracture mechanics are numerous, whereas investigations related to fracture behaviour of materials in thin sheets or general yielding fracture regimes are limited in number. Engineering simulative tests are being used to characterize formability and drawability of sheet metals. However, these tests do not assure consistency in quality of sheet metal products. The prevention of failure in stressed structural components currently requires fracture mechanics based design parameters like critical load, critical crack-tip opening displacement or fracture toughness. The present attempt would aim to fulfill this gap and generate more information thereby increased understanding on fracture behaviour of sheet metals. In the present investigation, using a recently developed technique for determining fracture criteria in sheet metals, results are generated on critical CTOD and fracture toughness. Finite element analysis was performed to support the results on various fracture parameters. The differences are within 1 to 4%. At the end it is concluded that magnitude of critical CTOD and/or critical load can be used as a fracture criterion for thin sheets.

  18. Diallel analysis for seed yield and its component traits in Cuphea procumbens

    Directory of Open Access Journals (Sweden)

    Singh S.P.

    2006-01-01

    Full Text Available The Cuphea procumbens Orteg. is an important annual plant source of medium chain fatty acids. The present study was conducted to estimate different gene systems involved in the inheritance of important quantitative traits viz. plant height, branches/plant, fruits/plant, seeds/fruit and seed yield/plant in F1 and F2 generations following 6 parents half diallel. Diallel assumptions were fulfilled for all the characters. Wr - Vr graph and component analysis revealed the major influence of over dominance for all the traits except branches/plant in F1. The arrays scattered all along the regression line below limiting parabola in two groups, Dominance and recessive and was confirmed by standardized deviation graph. The ranking on the basis of breeding value (Yr of the parents and per se performance was closely associated (r=0.83**. On the basis of ranking, parents 'NBC-01', 'NBC-25' and 'NBC-30' were found most promising and possessed more dominant alleles for most of the characters. Considering the gene action involved, the breeding plan was discussed.

  19. The Grey Analysis,Kriging and Selection Index of Flower Yield in Rugosa Rose

    Institute of Scientific and Technical Information of China (English)

    LI Yan-yan; FENG Zhen; ZHAO Lan-yong; MO Zhen-hua; ZHANG Bao

    2007-01-01

    The analysis of grey system,kriging interpolation,and integration selection index were employed to investigate the relationships between the flower yield/plant(FY)and 15 other quantitative traits of 20 rugosa rose cultivars.The result showed that:The grey relational grade(GRG)of the number of flowers/plant(NF),the number of branches/plant(NB),the width of floral bud(WB),and the weight/flower(WF)to the F Y were larger(>0.5);F Y improved with the increase of NFand NB.Moreover,the indirect selection of either trait could not achieve improvement of FY.It is necessary to improve FY by multi-trait selection.The integration selection index(ISI)equation of FY was established with the characters NF,NB,WB,and WF:I=0.3187x1-318.6x2+670.1x4+6.3x8,index heritability=0.8014,selective response of the integration breeding value =245.8811.This will provide a theoretic basis for the genetic breeding of rugosa rose.

  20. Assessment of Factors Affecting the Usefulness and Diagnostic Yield of Core Biopsy Needles with a Side Hole in Endoscopic Ultrasound-Guided Fine-Needle Aspiration.

    Science.gov (United States)

    Inoue, Tadahisa; Okumura, Fumihiro; Mizushima, Takashi; Nishie, Hirotada; Iwasaki, Hiroyasu; Anbe, Kaiki; Ozeki, Takanori; Kachi, Kenta; Fukusada, Shigeki; Suzuki, Yuta; Sano, Hitoshi

    2016-01-01

    A barbed puncture needle with a side hole was recently developed to improve sample quality and quantity in endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA). In this study, we retrospectively assessed the usefulness of this puncture needle. Factors affecting diagnostic yield, safety, and diagnostic accuracy were investigated in 76 patients who consecutively underwent EUS-FNA for neoplastic lesions at our hospital between January and December 2013. The procedure was successful in all cases; the rates of sample collection and determination of the correct diagnosis were 92.1% and 89.5%, respectively. The mean number of needle passes required for diagnosis was 1.1. Complications included mild intraluminal bleeding in two patients (2.6%). Multivariate analysis revealed that lesion size (≤20 mm) was significantly associated with a decreased chance of determining the correct diagnosis. Core biopsy needles with a side hole are safe and provide a satisfactory diagnostic yield. However, the side hole may potentially reduce the rate of making the correct diagnosis in small lesions.

  1. Path and correlation analysis of perennial ryegrass (Lolium perenne L.) seed yield components

    DEFF Research Database (Denmark)

    Abel, Simon; Gislum, René; Boelt, Birte

    2017-01-01

    path correlation coefficients showed that inflorescence size had the largest positive influence on seed yield via its indirect effects on other seed yield components. Our results will allow seed producers, seed production researchers and plant breeders alike to more efficiently increase harvested seed...

  2. Heterogeneous global crop yield response to biochar: a meta-regression analysis

    NARCIS (Netherlands)

    Crane-Droesch, A.; Abiven, S.; Jeffery, S.L.; Torn, M.S.

    2013-01-01

    Biochar may contribute to climate change mitigation at negative cost by sequestering photosynthetically fixed carbon in soil while increasing crop yields. The magnitude of biochar's potential in this regard will depend on crop yield benefits, which have not been well-characterized across different

  3. Analysis of seed and ware potato production systems and yield constraints in Argentina

    NARCIS (Netherlands)

    Caldiz, D.O.

    2000-01-01

    The aim of this thesis is to analyze the seed and ware potato production systems in Argentina and their possible yield constraints in order to develop specific strategies to increase seed quality and tuber yield.This thesis starts with a survey of the actual potato production systems in Argentina ca

  4. Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Effects

    NARCIS (Netherlands)

    Makowski, D.; Asseng, S.; Ewert, F.; Bassu, S.; Durand, J.L.; Martre, P.; Adam, M.; Aggarwal, P.K.; Angulo, C.; Baron, C.; Basso, B.; Bertuzzi, P.; Biernath, C.; Boogaard, H.; Boote, K.J.; Brisson, N.; Cammarano, D.; Challinor, A.J.; Conijn, J.G.; Corbeels, M.; Deryng, D.; Sanctis, De G.; Doltra, J.; Gayler, S.; Goldberg, R.; Grassini, P.; Hatfield, J.L.; Heng, L.; Hoek, S.B.; Hooker, J.; Hunt, L.A.; Ingwersen, J.; Izaurralde, C.; Jongschaap, R.E.E.; Jones, J.W.; Kemanian, R.A.; Kersebaum, K.C.; Kim, S.H.; Lizaso, J.; Müller, C.; Naresh Kumar, S.; Nendel, C.; O'Leary, G.J.; Olesen, J.E.; Osborne, T.M.; Palosuo, T.; Pravia, M.V.; Priesack, E.; Ripoche, D.; Rosenzweig, C.; Ruane, A.C.; Sau, F.; Semenov, M.A.; Shcherbak, I.; Steduto, P.; Stöckle, C.O.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Teixeira, E.; Thorburn, P.; Timlin, D.; Travasso, M.; Roetter, R.P.; Waha, K.; Wallach, D.; White, J.W.; Williams, J.R.; Wolf, J.

    2015-01-01

    Many simulation studies have been carried out to predict the effect of climate change on crop yield. Typically, in such study, one or several crop models are used to simulate series of crop yield values for different climate scenarios corresponding to different hypotheses of temperature, CO2

  5. Type 2 Diabetes Research Yield, 1951-2012: Bibliometrics Analysis and Density-Equalizing Mapping.

    Directory of Open Access Journals (Sweden)

    Fiona Geaney

    Full Text Available The objective of this paper is to provide a detailed evaluation of type 2 diabetes mellitus research output from 1951-2012, using large-scale data analysis, bibliometric indicators and density-equalizing mapping. Data were retrieved from the Science Citation Index Expanded database, one of the seven curated databases within Web of Science. Using Boolean operators "OR", "AND" and "NOT", a search strategy was developed to estimate the total number of published items. Only studies with an English abstract were eligible. Type 1 diabetes and gestational diabetes items were excluded. Specific software developed for the database analysed the data. Information including titles, authors' affiliations and publication years were extracted from all files and exported to excel. Density-equalizing mapping was conducted as described by Groenberg-Kloft et al, 2008. A total of 24,783 items were published and cited 476,002 times. The greatest number of outputs were published in 2010 (n=2,139. The United States contributed 28.8% to the overall output, followed by the United Kingdom (8.2% and Japan (7.7%. Bilateral cooperation was most common between the United States and United Kingdom (n=237. Harvard University produced 2% of all publications, followed by the University of California (1.1%. The leading journals were Diabetes, Diabetologia and Diabetes Care and they contributed 9.3%, 7.3% and 4.0% of the research yield, respectively. In conclusion, the volume of research is rising in parallel with the increasing global burden of disease due to type 2 diabetes mellitus. Bibliometrics analysis provides useful information to scientists and funding agencies involved in the development and implementation of research strategies to address global health issues.

  6. Type 2 Diabetes Research Yield, 1951-2012: Bibliometrics Analysis and Density-Equalizing Mapping.

    Science.gov (United States)

    Geaney, Fiona; Scutaru, Cristian; Kelly, Clare; Glynn, Ronan W; Perry, Ivan J

    2015-01-01

    The objective of this paper is to provide a detailed evaluation of type 2 diabetes mellitus research output from 1951-2012, using large-scale data analysis, bibliometric indicators and density-equalizing mapping. Data were retrieved from the Science Citation Index Expanded database, one of the seven curated databases within Web of Science. Using Boolean operators "OR", "AND" and "NOT", a search strategy was developed to estimate the total number of published items. Only studies with an English abstract were eligible. Type 1 diabetes and gestational diabetes items were excluded. Specific software developed for the database analysed the data. Information including titles, authors' affiliations and publication years were extracted from all files and exported to excel. Density-equalizing mapping was conducted as described by Groenberg-Kloft et al, 2008. A total of 24,783 items were published and cited 476,002 times. The greatest number of outputs were published in 2010 (n=2,139). The United States contributed 28.8% to the overall output, followed by the United Kingdom (8.2%) and Japan (7.7%). Bilateral cooperation was most common between the United States and United Kingdom (n=237). Harvard University produced 2% of all publications, followed by the University of California (1.1%). The leading journals were Diabetes, Diabetologia and Diabetes Care and they contributed 9.3%, 7.3% and 4.0% of the research yield, respectively. In conclusion, the volume of research is rising in parallel with the increasing global burden of disease due to type 2 diabetes mellitus. Bibliometrics analysis provides useful information to scientists and funding agencies involved in the development and implementation of research strategies to address global health issues.

  7. Kernel parameter dependence in spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2010-01-01

    feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply a kernel version of maximum autocorrelation factor (MAF) [7, 8] analysis to irregularly sampled stream sediment geochemistry data from South Greenland and illustrate the dependence...

  8. Multistructure Statistical Model Applied To Factor Analysis

    Science.gov (United States)

    Bentler, Peter M.

    1976-01-01

    A general statistical model for the multivariate analysis of mean and covariance structures is described. Matrix calculus is used to develop the statistical aspects of one new special case in detail. This special case separates the confounding of principal components and factor analysis. (DEP)

  9. Inactivation of a GAL4-Like Transcription Factor Improves Cell Fitness and Product Yield in Glycoengineered Pichia pastoris Strains

    Science.gov (United States)

    Argyros, Rebecca; Bukowski, John; Nelson, Stephanie; Sharkey, Nathan; Kim, Sehoon; Copeland, Victoria; Davidson, Robert C.; Chen, Ronghua; Zhuang, Jun; Sethuraman, Natarajan; Stadheim, Terrance A.

    2014-01-01

    With a completely reengineered and humanized glycosylation pathway, glycoengineered Pichia pastoris has emerged as a promising production host for the manufacture of therapeutic glycoproteins. However, the extensive genetic modifications have also negatively affected the overall fitness levels of the glycoengineered host cells. To make glycoengineered Pichia strains more compatible with a scalable industrial fermentation process, we sought to identify genetic solutions to broadly improve cell robustness during fermentation. In this study, we report that mutations within the Pichia pastoris ATT1 (PpATT1) gene (a homolog of the Saccharomyces cerevisiae GAL4 [ScGAL4] transcriptional activator) dramatically increased the cellular fitness levels of glycoengineered Pichia strains. We demonstrate that deletion of the PpATT1 gene enabled glycoengineered Pichia strains to improve their thermal tolerance levels, reduce their cell lysis defects, and greatly improve fermentation robustness. The extension of the duration of fermentation enabled the PpATT1-modified glycoengineered Pichia strains to increase their product yields significantly without any sacrifice in product quality. Because the ATT1 gene could be deleted from any Pichia strains, including empty hosts and protein-expressing production strains alike, we suggest that the findings described in this study are broadly applicable to any Pichia strains used for the production of therapeutic proteins, including monoclonal antibodies, Fc fusions, peptides, hormones, and growth factors. PMID:25344235

  10. Principal coordinate analysis of genotype × environment interaction for grain yield of bread wheat in the semi-arid regions

    Directory of Open Access Journals (Sweden)

    Sabaghnia Naser

    2013-01-01

    Full Text Available Multi-environmental trials have significant main effects and significant multiplicative genotype × environment (GE interaction effect. Principal coordinate analysis (PCOA offers a more appropriate statistical analysis to deal with such situations, compared to traditional statistical methods. Eighteen bread wheat genotypes were grown in four semi-arid regions over three year seasons to study the GE interaction and yield stability and obtained data on grain yield were analyzed using PCOA. Combined analysis of variance indicated that all of the studied effects including the main effects of genotype and environments as well as the GE interaction were highly significant. According to grand means and total mean yield, test environments were grouped to two main groups as high mean yield (H and low mean yield (L. There were five H test environments and six L test environments which analyzed in the sequential cycles. For each cycle, both scatter point diagram and minimum spanning tree plot were drawn. The identified most stable genotypes with dynamic stability concept and based on the minimum spanning tree plots and centroid distances were G1 (3310.2 kg ha-1 and G5 (3065.6 kg ha-1, and therefore could be recommended for unfavorable or poor conditions. Also, genotypes G7 (3047.2 kg ha-1 and G16 (3132.3 kg ha-1 were located several times in the vertex positions of high cycles according to the principal coordinates analysis. The principal coordinates analysis provided useful and interesting ways of investigating GE interaction of barley genotypes. Finally, the results of principal coordinates analysis in general confirmed the breeding value of the genotypes, obtained on the basis of the yield stability evaluation.

  11. Influence of climatic factors on the low yields of spring barley and winter wheat in Southern Moravia (Czech Republic) during the 1961-2007 period

    Science.gov (United States)

    Kolář, Petr; Trnka, Miroslav; Brázdil, Rudolf; Hlavinka, Petr

    2014-08-01

    The paper aims to study the variability of spring barley and winter wheat yields, the most important crops in the Czech Republic, with respect to the variability of weather and climatic factors. Yields of both crops have been studied for 13 districts in Southern Moravia for the 1961-2007 period. From detrended series of spring barley and winter wheat yields, years with very low (lower than the mean minus a 2.5-multiple of the standard deviation) and extremely low (interval given by the mean minus a 1.5- and 2.5-multiple of the standard deviation) yields were selected. Years in which at least one of the districts had extremely low/very low yields were further analyzed. From 10 such years selected separately for spring barley and winter wheat, six of them agreed for both crops. Extreme years were studied using NUTS4-level yield data with respect to temperature, precipitation, the self-calibrated Palmer Drought Severity Index (scPDSI), snow cover, frost patterns, and the onset and duration of select phenophases. Extremely/very low barley yields in 1993, 2000, and 2007 were related to high April-June (AMJ) temperatures, low AMJ precipitation totals, and negative AMJ scPDSI (indicating drought) with an earlier onset of flowering and full ripeness and shorter intervals from tillering to flowering and from flowering to full ripeness compared to the entire 1961-2007 mean. As for extremely/very low winter wheat yields, in addition to the previously mentioned factors, winter patterns also played an important role, particularly the occurrence of severe frosts with a coinciding lack of snow cover and a long-lasting snow cover (in highlands), indicating that low yields are the result of not only one unfavorable factor but a combination of several of them.

  12. Quantitative Analysis of Impact of Education on Improving Farmers' Net Income and Yield Per Capita

    Institute of Scientific and Technical Information of China (English)

    DING Jing-zhi

    2002-01-01

    In this paper, we analyze the relation between farmers' schooling and their net income and yield per capita by systemic and scientific method, concluding that improving farmers' educational level may increase their net income.

  13. Correlation And Path Analysis Of Grain Yield Components In Exotic Maize (Zea Mays L. Hybrids

    Directory of Open Access Journals (Sweden)

    Muneeb Munawar

    2013-09-01

    Full Text Available Present study was aimed to investigate the genotypic and phenotypic association among grain yield components and their direct and indirect effects on yield. Correlation studies revealed significant positive genotypic and phenotypic relationship of grain yield with cob position, rows per cob and grains per row. Cob height, number of grains per row, stem diameter and cob girth had high positive direct effects on grain yield. Cob position had high negative direct effect on yield. These result depicted that cob position, no. of rows per cob and no. of grains per cob may be used as reliable criteria for improving grain yield. Heritability and genetic advance estimates described the genetic attributes of the traits under study. All the traits except no. of rows per cob and no. of grains per row had non additive type of gene action with high heritability and low genetic advance. The exploitation of these traits would be effective in hybrid maize breeding. No. of rows per cob and no. of grains per row showed both additive and non additive type of gene action with environmental influence due to high environmental variance. These traits can be utilized effectively through selection in varietal development.

  14. Stability analysis of oil yield in oil palm (Elaeis guineensis) progenies in different environments.

    Science.gov (United States)

    Rafii, M Y; Jalani, B S; Rajanaidu, N; Kushairi, A; Puteh, A; Latif, M A

    2012-10-04

    We evaluated 38 dura x pisifera (DP) oil palm progenies in four locations in Malaysia for genotype by environment interaction and genotypic stability studies. The DP progenies derived from crosses between pisifera palms of AVROS, Serdang S27B, Serdang 29/36, and Lever Cameroon were chosen to be the males' parent and Deli dura palms designated as females' parent. All the locations differed in terms of soil physical and chemical properties, and the soil types ranged from coastal clay to inland soils. The genotype by environment interaction and stability of the individual genotypes were analyzed for oil yield trait using several stability techniques. A genotype by environment interaction was detected for oil yield and it had a larger variance component than genotypic variance (σ(2)(gl)/σ(2)(g) = 139.7%). Genotype by environment interaction of oil yield was largely explained by a non-linear relationship between genotypic and environmental values. Overall assessment of individual genotypic stability showed that seven genotypes were highly stable and had consistent performance over the environments for the oil yield trait [total individual genotype stability scored more than 10 and mean oil yielded above the average of the environment (genotype means are more than 34.37 kg·palm(-1)·year(-1))]. These genotypes will be useful for oil palm breeding and tissue culture programs for developing high oil yielding planting materials with stable performance.

  15. Astrophysical S factor for the radiative-capture reaction p{sup 6}Li {yields} {sup 7}Be{gamma}

    Energy Technology Data Exchange (ETDEWEB)

    Dubovichenko, S. B., E-mail: sergey@dubovichenko.ru [National Space Agency of the Republic of Kazakhstan, Fessenkov Astrophysical Institute, National Center of Space Research and Technology (Kazakhstan); Burtebaev, N., E-mail: burteb@inp.kz; Zazulin, D. M.; Kerimkulov, Zh. K. [National Nuclear Center of Republic of Kazakhstan, Institute of Nuclear Physics (Kazakhstan); Amar, A. S. A. [Al-Farabi Kazakh National University (Kazakhstan)

    2011-07-15

    A new measurement of differential cross sections for elastic p{sup 6}Li scattering in the energy range 0.35-1.2 MeV was performed. A partial-wave analysis of the data obtained in this way was carried out, and potentials simulating the p{sup 6}Li interaction were constructed. Various experiments devoted to studying elastic p{sup 6}Li scattering over the broad energy range of 0.5-50 MeV were analyzed on the basis of the optical model. By using the potentials obtained from the partial-wave analysis, the possibility of describing the astrophysical S factor for radiative proton capture on {sup 6}Li at low energies was considered within the potential cluster model involving forbidden states.

  16. Combining farm typology and yield gap analysis to identify major variables limiting yields in the highland coffee systems of Llano Bonito, Costa Rica

    NARCIS (Netherlands)

    Bhattarai, Sanjeeb; Alvarez, Stéphanie; Gary, Christian; Rossing, Walter; Tittonell, Pablo; Rapidel, Bruno

    2017-01-01

    Yield variability in space and time is a well-known phenomenon in the highland coffee production systems of Costa Rica. Our objective was to systematically unravel variations and gaps in yields due to the combined effects of farm resources and major production variables in a region of premium

  17. Fibroblast growth factor-20 increases the yield of midbrain dopaminergic neurons derived from human embryonic stem cells

    Directory of Open Access Journals (Sweden)

    Ana Sofia Correia

    2007-12-01

    Full Text Available In the central nervous system, fibroblast growth factor (FGF-20 has been reported to act preferentially on midbrain dopaminergic neurons. It also promotes the dopaminergic differentiation of stem cells. We have analyzed the effects of FGF-20 on human embryonic stem cells (hESCs differentiation into dopaminergic neurons. We induced neuronal differentiation of hESCs by co-culturing those with PA6 mouse stromal cells for 3 weeks. When we supplemented the culture medium with FGF-20, the number of tyrosine hydroxylase (TH- expressing neurons increased fivefold, from 3% to 15% of the hESC-derived cells. The cultured cells also expressed other midbrain dopaminergic markers (PITX3, En1, Msx1, and Aldh1, suggesting that some had differentiated into midbrain dopaminergic neurons. We observed no effect of FGF-20 on the size of the soma area or neurite length of the TH-immunopositive neurons. Regardless of whether FGF-20 had been added or not, 17% of the hESC-derived cells expressed the pan-neuronal marker b-III-Tubulin. The proportion of proliferating cells positive for Ki-67 was also not affected by FGF-20 (7% of the hESC-derived cells. By contrast, after 3 weeks in culture FGF-20 significantly reduced the proportion of cells undergoing cell death, as revealed by immunoreactivity for cleaved caspase-8, Bcl-2 associated X protein (BAX and cleaved caspase-3 (2.5% to 1.2% of cleaved caspase-3-positive cells out of the hESC-derived cells. Taken together, our results indicate that FGF-20 specifically increases the yield of dopaminergic neurons from hESCs grown on PA6 feeder cells and at least part of this effect is due to a reduction in cell death.

  18. Linear Spectral Mixture Analysis of SPOT-7 for Tea Yield Estimation in Pagilaran Estate, Batang Central Java

    Science.gov (United States)

    Fauziana, F.; Danoedoro, P.; Heru Murti, S.

    2016-11-01

    Remote sensing has been utilized especially for agriculture yield estimation. Tea yield is effected by biology characteristic including crown density. The challenge of tea yield estimation uses multispectral remote sensing data is the presence of object beside tea. This mixed pixel problem can disturb spectrally to recognize tea tree, so it is necessary to use pixel approach. The aims of this research are (1) to determine fraction of tea and non-tea; (2) to estimate crown density percentage based on tea Normalized Difference Vegetation Index (NDVI); (3) to estimate tea yield based on crown density. SPOT-7 was utilized for this application. Linear Spectral Mixture Analysis (LSMA) has applied to determination fraction percentage each pixel. Each pure endmember was read the NDVI value. NDVI of tea tree has sensitivity with crown density. Counting tea NDVI was applied for NDVI mixed pixel. Linear regression analysis has applied for estimating crown density and tea yield. The results of this research are SPOT -7 which can recognize tea, tree shade, impervious and soil each pixel with accuracy 99,84%. Although it produced high accuracy, it has overestimate at certain tea estate because of the attendance of impervious. Regression analysis of crown density and NDVI showed coeffisien determination 52%. This model result 4-100% crown density percentage, where crown density 4-55% were located beside tea tree or pruned-tea block. Regression analysis of crown density and tea yield relation showed coeffisien determination 45%. This model produced 161,34-1296,8 kg/ha. Each this model resulted Root Mean Square Error (RMSE) 14,27% and 551,52 kg/ha.

  19. High statistic measurement of the K{sup -}{yields}{pi}{sup 0}e{sup -}{nu} decay form-factors

    Energy Technology Data Exchange (ETDEWEB)

    Yushchenko, O.P.; Akimenko, S.A.; Britvich, G.I.; Datsko, K.V.; Filin, A.P.; Inyakin, A.V.; Konstantinov, A.S.; Konstantinov, V.F.; Korolkov, I.Y.; Khmelnikov, V.A.; Leontiev, V.M.; Novikov, V.P.; Obraztsov, V.F.; Polyakov, V.A.; Romanovsky, V.I.; Ronjin, V.M.; Shelikhov, V.I.; Smirnov, N.E.; Tchikilev, O.G.; Uvarov, V.A.; Bolotov, V.N.; Laptev, S.V.; Polyarush, A.Yu

    2004-06-10

    The decay K{sup -}{yields}{pi}{sup 0}e{sup -}{nu} is studied using in-flight decays detected with the 'ISTRA+' spectrometer. About 920K events are collected for the analysis. The {lambda}{sub +} slope parameter of the decay form-factor f{sub +}(t) in the linear approximation (average slope) is measured: {lambda}{sub +}{sup lin}=0.02774{+-}0.00047(stat){+-}0.00032(syst). The quadratic contribution to the form-factor was estimated to be {lambda}'{sub +}=0.00084{+-}0.00027(stat){+-}0.00031(syst). The linear slope, which has a meaning of df{sub +}(t)/dt vertical bar{sub t=0} for this fit, is {lambda}{sub +}=0.02324{+-}0.00152(stat){+-}0.00032(syst). The limits on possible tensor and scalar couplings are derived: f{sub T}/f{sub +}(0)=-0.012{+-}0.021(stat){+-}0.011(syst), f{sub S}/f{sub +}(0)=-0.0037{sup +0.0066}{sub -0.0056}(stat){+-}0.0041(syst)

  20. Analysis of relations between crop temperature indices and yield of different sunflower hybrids foliar treated by biopreparations

    Directory of Open Access Journals (Sweden)

    Kovár Marek

    2016-04-01

    Full Text Available The application of biological active preparations (BAPs and remote-sensing control in the management of agronomic intervention are an important part of successful crop cultivation. The effects of foliar application of two BAPs (containing amino acids or Abiestins® on yield and yield-forming, as well eco-physiological traits calculated from infrared thermographs data (crop water stress index, CWSI and index of stomatal conductance, Ig of three hybrids of sunflower were studied in field poly-factorial experiments, realised during two years (2012 and 2013. The results showed that the application of selected BAPs has contributed to an increase of the sunflower yield, in particular through an increase in the weight of thousand seeds (rp = 0.761, P < 0.001. Similarly, oil content in achenes was significantly higher in treatments with BAPs, mainly with preparation containing free amino acids. The study describes the quantitative relationship between yield and quality of sunflower production (rp = −0.41, P < 0.01. Selected hybrids of sunflower in two growth stages showed the significant differences in CWSI and Ig (both at P < 0.01, respectively. An analysis of negative linear relation between the yield of achenes and CWSI (rp = −0.654, P < 0.001 confirmed that higher value of plant stress resulted in a smaller yield and vice-versa. The opposite trend was observed between yield and Ig index (rp = 0.576, P < 0.001. The data obtained from IR thermography can be used for monitoring the physiological health of sunflower plants, as well in potential prediction and control of yield.

  1. Genetic analysis of F2 and transgressive segregants for seed yield in safflower (Carthamus tinctorius L.

    Directory of Open Access Journals (Sweden)

    D.Shivani, Ch. Sreelakshmi and C.V. Sameer Kumar

    2011-06-01

    Full Text Available The wide range of F2 variability for seed yield, number of capitula per plant and number of seeds per capitulum in 24 crosses ofline x tester set indicated potential of the crosses to throw large number of variable segregants. Maximum number of positivetransgressive segregants was found in TSF-1 x SFS 9920, TSF-1 x SSF 658, TSF-2 x ASD-07-10, Sagarmutyalu x SFS 9920andManjira x SSF 698 crosses. F1 per se performance, relative heterosis, D2 and GCA effects of parents were found to be goodindicators for predicting the phenotypic variance and genetic advance for seed yield in F2. Average GCA effects of parents hadmoderate degree of influence on the mean of 10% top yielding plants in F2.

  2. Analysis of hadron yield data within hadron resonance gas model with multi-component eigenvolume corrections

    CERN Document Server

    Vovchenko, Volodymyr

    2016-01-01

    We analyze the sensitivity of thermal fits to heavy-ion hadron yield data of ALICE and NA49 collaborations to the systematic uncertainties in the hadron resonance gas (HRG) model related to the modeling of the eigenvolume interactions. We find a surprisingly large sensitivity in extraction of chemical freeze-out parameters to the assumptions regarding eigenvolumes of different hadrons. We additionally study the effect of including yields of light nuclei into the thermal fits to LHC data and find even larger sensitivity to the modeling of their eigenvolumes. The inclusion of light nuclei yields, thus, may lead to further destabilization of thermal fits. Our results show that modeling of eigenvolume interactions plays a crucial role in thermodynamics of HRG and that conclusions based on a non-interacting HRG are not unique.

  3. The influence of environmental factors on daily milk yield and fat and protein content in Istrian sheep

    Directory of Open Access Journals (Sweden)

    Marija Špehar

    2012-09-01

    Full Text Available The objective of this study was to analyse the effect of stage of lactation, parity, litter size, and lambing season on daily milk production and fat and protein content in Istrian sheep. Data included9.533 test-day records of 2.024 ewes for the period from October 2005 to May 2009. Daily milk yield and fat and protein content were determined during monthly milking controls using AT4 method. The stage of lactation, described by Wilmink lactation curve, had significant effect (P<0.001 on all studied milk traits of Istrian sheep. The peak of daily milk production was achieved between the 20th and 30th day of lactation and gradually decreased towards the end of lactation. Lactation curves for fat and protein content had opposite shape compared to the daily milk yield lactation curve. Parity affected (P<0.05 the daily milk yield and protein content. Daily milk yield and protein content were the lowest in the first and the highest in the third parity. Statistically significant influence of litter size (P<0.05 was determined for daily milk yield and fat content. A higher daily milk yield and lower fat content was observed in ewes lambing twins compared to ewes lambing singles. Differences in daily milk yield and contents were observed for the lambing season effect (P<0.001. Istrian ewes lambed in December and November (first lambing season had the highest daily milk production, while the lowest daily milk yield had ewes lambed in February.

  4. What Is Rotating in Exploratory Factor Analysis?

    Science.gov (United States)

    Osborne, Jason W.

    2015-01-01

    Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…

  5. Stepwise Variable Selection in Factor Analysis.

    Science.gov (United States)

    Kano, Yutaka; Harada, Akira

    2000-01-01

    Takes several goodness-of-fit statistics as measures of variable selection and develops backward elimination and forward selection procedures in exploratory factor analysis. A newly developed variable selection program, SEFA, can print several fit measures for a current model and models obtained by removing an internal variable or adding an…

  6. Multilevel exploratory factor analysis of discrete data

    NARCIS (Netherlands)

    Barendse, M.T.; Oort, F.J.; Jak, S.; Timmerman, M.E.

    2013-01-01

    Exploratory factor analysis (EFA) can be used to determine the dimensionality of a set of items. When data come from clustered subjects, such as pupils within schools or children within families, the hierarchical structure of the data should be taken into account. Standard multilevel EFA is only sui

  7. VCS-SSA Mainz Experiment. Measurement of the beam spin asymmetry in (e polarized p {yields} ep{gamma}) and (e polarized p {yields} ep{pi}{sup 0}). Final analysis - MEMO I

    Energy Technology Data Exchange (ETDEWEB)

    Fonvieille, H.; Bensafa, I. [LPC-Clermont-Fd, Universite Blaise Pascal, F-63170 Aubiere Cedex (France)

    2006-02-15

    This note gives details on the final analysis of the VCS-SSA experiment in terms of Beam Spin Asymmetry. It summarizes the changes between the first and second pass analysis. Then the measured asymmetry is presented for both channels e polarized p {yields} ep{gamma} and e polarized p {yields} ep{pi}{sup 0} including systematic studies. The final experimental result is briefly compared to some model predictions. (authors)

  8. An SPSSR -Menu for Ordinal Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mario Basto

    2012-01-01

    Full Text Available Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calculations. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It offers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper offers an SPSS dialog written in theR programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

  9. Nutrient uptake, biomass yield and quantitative analysis of aliphatic aldehydes in cilantro plants

    Science.gov (United States)

    The objective of this study was to evaluate the nutrient uptake, biomass production and yield of the major compounds in the essential oil of five genotypes of Coriandrum sativum L. The treatments were four accessions donated by the National Genetic Resources Advisory Council (NGRAC), U.S. Department...

  10. Grain yield increase in cereal variety mixtures: A meta-analysis of field trials

    DEFF Research Database (Denmark)

    Kiær, Lars Pødenphant; Skovgaard, Ib; Østergård, Hanne

    2009-01-01

    in reported grain yields, (2) diversity in disease resistance, and (3) diversity in weed suppressiveness, all among component varieties. Relative mixing effect was also found to increase significantly with the effective number of component varieties. The effects of the latter two differed significantly...

  11. Yield stress in amorphous solids: a mode-coupling-theory analysis.

    Science.gov (United States)

    Ikeda, Atsushi; Berthier, Ludovic

    2013-11-01

    The yield stress is a defining feature of amorphous materials which is difficult to analyze theoretically, because it stems from the strongly nonlinear response of an arrested solid to an applied deformation. Mode-coupling theory predicts the flow curves of materials undergoing a glass transition and thus offers predictions for the yield stress of amorphous solids. We use this approach to analyze several classes of disordered solids, using simple models of hard-sphere glasses, soft glasses, and metallic glasses for which the mode-coupling predictions can be directly compared to the outcome of numerical measurements. The theory correctly describes the emergence of a yield stress of entropic nature in hard-sphere glasses, and its rapid growth as density approaches random close packing at qualitative level. By contrast, the emergence of solid behavior in soft and metallic glasses, which originates from direct particle interactions is not well described by the theory. We show that similar shortcomings arise in the description of the caging dynamics of the glass phase at rest. We discuss the range of applicability of mode-coupling theory to understand the yield stress and nonlinear rheology of amorphous materials.

  12. Combining ability analysis for yield and its attributes in Blackgram (Vigna mungo (L. Hepper

    Directory of Open Access Journals (Sweden)

    A.V.S. Durga Prasad and E. Murugan

    2015-06-01

    Full Text Available Hybridization in Line x Tester mating design was conducted with 11 MYMV susceptible lines and three resistant testers in blackgram (Vigna mungo (L. Hepper to understand the nature of gene action, combining ability of the parents (gca and to assess the potential for the exploitation of heterosis (sca in hybrids. Data on nine quantitative characters viz.,days to 50 per cent flowering, plant height (cm, number of branches per plant, number of clusters per plant, number of pods per plant, number of seeds per pod, hundred seed weight (g and seed yield per plant (g were collected on 33 hybrids and their 11 parents. Among the genotypes, PU 31, LBG 645, ADT 3, CO 6 and LBG 709 recorded relatively high per se performance and gca effects for majority of seed yield attributing traits. The hybrid, LBG 709 x PU 31 followed by CO 6 x PU 31 and LBG 645 x VBN (Bg 6 exhibited significant high per se and sca for most of the traits viz., number of branches per plant, number of clusters per plant, number of pods per plant, pod length and seed yield per plant .The crosses involving the parents, LBG 645 x PU 31 and ADT 3 x PU 31 recorded significant gca and non-significant sca effect for most of the characters inferring that these crosses would produce superior recombinants for seed yield.

  13. Quantitative trait analysis of yeast biodiversity yields novel gene tools for metabolic engineering

    NARCIS (Netherlands)

    Hubmann, Georg; Foulquié-Moreno, Maria R.; Nevoigt, Elke; Duitama, Jorge; Meurens, Nicolas; Pais, Thiago M.; Mathé, Lotte; Saerens, Sofie; Nguyen, Huyen Thi Thanh; Swinnen, Steve; Verstrepen, Kevin J.; Concilio, Luigi; de Troostembergh, Jean-Claude; Thevelein, Johan M.

    2013-01-01

    Engineering of metabolic pathways by genetic modification has been restricted largely to enzyme-encoding structural genes. The product yield of such pathways is a quantitative genetic trait. Out of 52 Saccharomyces cerevisiae strains phenotyped in small-scale fermentations, we identified strain CBS6

  14. Yield gap analysis and resource footprints of Irish potato production systems in Zimbabwe

    NARCIS (Netherlands)

    Svubure, O.; Struik, P.C.; Haverkort, A.J.; Steyn, J.M.

    2015-01-01

    Irish potato is the third most important carbohydrate food crop in Zimbabwe after maize and wheat. In 2012, the Government of Zimbabwe declared it a strategic national food security crop. In this study, we examine the country's potential for increasing Irish potato yield and help ease the nation's

  15. Cluster Analysis of Acute Care Use Yields Insights for Tailored Pediatric Asthma Interventions.

    Science.gov (United States)

    Abir, Mahshid; Truchil, Aaron; Wiest, Dawn; Nelson, Daniel B; Goldstick, Jason E; Koegel, Paul; Lozon, Marie M; Choi, Hwajung; Brenner, Jeffrey

    2017-09-01

    We undertake this study to understand patterns of pediatric asthma-related acute care use to inform interventions aimed at reducing potentially avoidable hospitalizations. Hospital claims data from 3 Camden city facilities for 2010 to 2014 were used to perform cluster analysis classifying patients aged 0 to 17 years according to their asthma-related hospital use. Clusters were based on 2 variables: asthma-related ED visits and hospitalizations. Demographics and a number of sociobehavioral and use characteristics were compared across clusters. Children who met the criteria (3,170) were included in the analysis. An examination of a scree plot showing the decline in within-cluster heterogeneity as the number of clusters increased confirmed that clusters of pediatric asthma patients according to hospital use exist in the data. Five clusters of patients with distinct asthma-related acute care use patterns were observed. Cluster 1 (62% of patients) showed the lowest rates of acute care use. These patients were least likely to have a mental health-related diagnosis, were less likely to have visited multiple facilities, and had no hospitalizations for asthma. Cluster 2 (19% of patients) had a low number of asthma ED visits and onetime hospitalization. Cluster 3 (11% of patients) had a high number of ED visits and low hospitalization rates, and the highest rates of multiple facility use. Cluster 4 (7% of patients) had moderate ED use for both asthma and other illnesses, and high rates of asthma hospitalizations; nearly one quarter received care at all facilities, and 1 in 10 had a mental health diagnosis. Cluster 5 (1% of patients) had extreme rates of acute care use. Differences observed between groups across multiple sociobehavioral factors suggest these clusters may represent children who differ along multiple dimensions, in addition to patterns of service use, with implications for tailored interventions. Copyright © 2017 American College of Emergency Physicians

  16. Statistical analysis of the relationship between climate-induced maize yield and rainy-season precipitation across Inner Mongolia, North China

    Science.gov (United States)

    Huang, Jin; Chen, Xin; Zhou, Limin; Xue, Yan; Lin, Jie

    2016-06-01

    Exploring possible relationships between climate-induced maize yield and rainy-season precipitation under climate change is fundamental to science-based decision for food security in Inner Mongolia Autonomous Region (IMAR). To determine the relationship of maize yield with precipitation variables across IMAR during 1960-2012, we selected 11 precipitation indices of rainy season and divided IMAR into four sub-regions—west, middle, east, and northeast using principal component analysis and K-means clustering methods. Results show that climate-induced maize yield is more sensitive to precipitation variability in the west and middle IMAR. The most important precipitation factor that limits maize yield is moderate precipitation days in these two sub-regions. Moreover, west and middle Inner Mongolia was dominated by decreasing precipitation during the rainy season. Furthermore, the El Niño/La Niña-Southern Oscillation cycle has the significant influence on the rainy-season precipitation in the west and middle IMAR.

  17. Estimation of the Effect Size of Lactation Sequence and Calving Season on 305-Day Lactation Milk Yield with Meta Analysis Approach

    Directory of Open Access Journals (Sweden)

    Hande Küçükönder

    2014-08-01

    Full Text Available In this study, the effect of the lactation sequence and the calving season, which are one of the factors influencing the milk yield in Holstein Friesian breed cows, were studied with meta-analysis method. Meta-analysis is a statistical technique that allows a re-evaluation of the studies conducted by other researchers for the same purpose by bringing them together. Meta-analysis combines and summarizes the results of the studies conducted on various fields, and contributes in making a common judgment among researchers. For these reasons, the studies of 7 different researchers that have been made in this field were brought together and it was aimed to create a common view about the studied parameters. In addition, the heterogeneity in this study was investigated by Chi-Square and I2 test statistics, and these values were found as ×^2=50.205 and I2= 88%, respectively. Therefore, for combining the studies, the fixed effect model wasn’t used in meta-analysis. In this study, the results of the researchers’ studies’ regarding the subject in question were scanned with meta-analytical screening method, and were combined by using the odds ratio (OR which is the effect size criterion in meta-analysis. As a result of the meta-analysis, the Odds ratio value was found as 0.759 and the effect level was determined middle. With this study conducted, as a result of this meta-analysis conducted, it was found that the contribution done by the lactation sequence on 305-day lactation milk yield in Holstein Friesian cattles in obtaining high milk yield was 0.759 times more compared to the calving season.

  18. Combining ability analysis for yield and its component traits in Blackgram (Vigna mungo (L. Hepper

    Directory of Open Access Journals (Sweden)

    Y.Anbu Selvam and R.Elangaimannan

    2010-12-01

    Full Text Available A diallele analaysis of 8 x 8 was studied in black gram (Vigna mungo with a view to understand the combining ability, nature of gene action andpotential for the exploitation of heterosis using nine quantitative characters viz., days to first flower, plant height, number of branches per plant,number of clusters per plant, number of pods per cluster, number of pods per plant, number of seeds per pod, hundred seed weight and seed yieldper plant in 28 hybrids and their eight parents. The parent ADT 3 recorded relatively high per se performance for seed yield, hundred seedweight, number of clusters per plant, number of pods per cluster, number of pods per plant and number of branches per plant with early floweringand short stature. Among the hybrids, ADT 3/99V48, ADT 3/LBG 645 and 2KU 53/LBG 645 were found to have high mean performance foralmost all the yield component characters besides seed yield. The gca effect of the genotypes ADT 3, LBG 645 and 2 KU 53 was high andsignificant for the traits seed yield per plant besides number of pods per cluster, number of pods per plant and number of seeds per pod. The SCAvariance was greater than GCA variance for all the traits studied thus indicating the predominance of non-additive gene action. Among thehybrids, ADT 3/99V48 recorded the maximum significant sca effect indicating their suitability for heterosis breeding. The hybrids ADT 3/ LBG645 and 2 KU 53/ LBG 645 recorded non significant sca effects for almost all the traits studied including seed yield per plant. Hence, these twocrosses were adjudged as superior for recombination breeding based on sca effects

  19. Analysis of the impact of water shortage on irrigated fruit yields in Spain

    Science.gov (United States)

    Bielza, M.; Maestro, T.; Algarra, A.; Garrido, A.

    2012-04-01

    Fruit production is strongly dependent on irrigation water in Spain. In contrast with annual crops, fruit producers are concerned not only with current year yields but also with future years' production or even with the potential loss of a strong investment in the case of death of the plantation. According to climate change predictions, extreme precipitation events -- floods and droughts -- are likely to increase in the future. This means that there might be a potential demand for hydrological drought insurance among fruit producers. This study tests whether hydrological drought has effectively affected fruit yields in the last 30 years in Spain. Water management decisions are taken in Spain according to drought indicators, called State Indices, established in the Drought Action Plans in the different river basins in Spain. These indicators are mainly based on reservoir stocks and inflows in regulated sub-basins and on river flows in non-regulated sub-basins. However, in some cases they are also based on ground water stocks and on water transfers between basins depending on the case. We analyze the relationship between the State Indices at their lowest levels and the yields of non-citrus fruit (apples, pears, peaches, apricots, plums and cherries) in the most important producing areas in Spain (Cuenca del Ebro, del Segura, del Júcar y del Guadiana). Preliminary results in some of the regions suggest that hydrological drought has caused some yield decrease, but it has not been so far so strong as to compromise fruit plantations. Keywords: Hydrological drought, drought indicators, fruit yields, Spain

  20. ANALYSIS OF THE FACTORS AFFECTING THE AVERAGE

    Directory of Open Access Journals (Sweden)

    Carmen BOGHEAN

    2013-12-01

    Full Text Available Productivity in agriculture most relevantly and concisely expresses the economic efficiency of using the factors of production. Labour productivity is affected by a considerable number of variables (including the relationship system and interdependence between factors, which differ in each economic sector and influence it, giving rise to a series of technical, economic and organizational idiosyncrasies. The purpose of this paper is to analyse the underlying factors of the average work productivity in agriculture, forestry and fishing. The analysis will take into account the data concerning the economically active population and the gross added value in agriculture, forestry and fishing in Romania during 2008-2011. The distribution of the average work productivity per factors affecting it is conducted by means of the u-substitution method.

  1. Vineyard Yield Estimation Based on the Analysis of High Resolution Images Obtained with Artificial Illumination at Night

    Directory of Open Access Journals (Sweden)

    Davinia Font

    2015-04-01

    Full Text Available This paper presents a method for vineyard yield estimation based on the analysis of high-resolution images obtained with artificial illumination at night. First, this paper assesses different pixel-based segmentation methods in order to detect reddish grapes: threshold based, Mahalanobis distance, Bayesian classifier, linear color model segmentation and histogram segmentation, in order to obtain the best estimation of the area of the clusters of grapes in this illumination conditions. The color spaces tested were the original RGB and the Hue-Saturation-Value (HSV. The best segmentation method in the case of a non-occluded reddish table-grape variety was the threshold segmentation applied to the H layer, with an estimation error in the area of 13.55%, improved up to 10.01% by morphological filtering. Secondly, after segmentation, two procedures for yield estimation based on a previous calibration procedure have been proposed: (1 the number of pixels corresponding to a cluster of grapes is computed and converted directly into a yield estimate; and (2 the area of a cluster of grapes is converted into a volume by means of a solid of revolution, and this volume is converted into a yield estimate; the yield errors obtained were 16% and −17%, respectively.

  2. Increased upconversion quantum yield in photonic structures due to local field enhancement and modification of the local density of states--a simulation-based analysis.

    Science.gov (United States)

    Herter, Barbara; Wolf, Sebastian; Fischer, Stefan; Gutmann, Johannes; Bläsi, Benedikt; Goldschmidt, Jan Christoph

    2013-09-09

    In upconversion processes, two or more low-energy photons are converted into one higher-energy photon. Besides other applications, upconversion has the potential to decrease sub-band-gap losses in silicon solar cells. Unfortunately, upconverting materials known today show quantum yields, which are too low for this application. In order to improve the upconversion quantum yield, two parameters can be tuned using photonic structures: first, the irradiance can be increased within the structure. This is beneficial, as upconversion is a non-linear process. Second, the rates of the radiative transitions between ionic states within the upconverter material can be altered due to a varied local density of photonic states. In this paper, we present a theoretical model of the impact of a photonic structure on upconversion and test this model in a simulation based analysis of the upconverter material β -NaYF(4):20% Er(3+) within a dielectric waveguide structure. The simulation combines a finite-difference time-domain simulation model that describes the variations of the irradiance and the change of the local density of photonic states within a photonic structure, with a rate equation model of the upconversion processes. We find that averaged over the investigated structure the upconversion luminescence is increased by a factor of 3.3, and the upconversion quantum yield can be improved in average by a factor of 1.8 compared to the case without the structure for an initial irradiance of 200 Wm(-2).

  3. Splitting parameter yield (SPY): A program for semiautomatic analysis of shear-wave splitting

    Science.gov (United States)

    Zaccarelli, Lucia; Bianco, Francesca; Zaccarelli, Riccardo

    2012-03-01

    SPY is a Matlab algorithm that analyzes seismic waveforms in a semiautomatic way, providing estimates of the two observables of the anisotropy: the shear-wave splitting parameters. We chose to exploit those computational processes that require less intervention by the user, gaining objectivity and reliability as a result. The algorithm joins the covariance matrix and the cross-correlation techniques, and all the computation steps are interspersed by several automatic checks intended to verify the reliability of the yields. The resulting semiautomation generates two new advantages in the field of anisotropy studies: handling a huge amount of data at the same time, and comparing different yields. From this perspective, SPY has been developed in the Matlab environment, which is widespread, versatile, and user-friendly. Our intention is to provide the scientific community with a new monitoring tool for tracking the temporal variations of the crustal stress field.

  4. 甜高粱产量及品质相关性状对环境因子反应度分析%Responsiveness of Sweet Sorghum in Yield and Quality Related Traits to Envi-ronmental Factors

    Institute of Scientific and Technical Information of China (English)

    唐朝臣; 罗峰; 李欣禹; 裴忠有; 高建明; 孙守钧

    2015-01-01

    The present study aims to elucidate the effects of environmental factors on the traits related to yield and quality in sweet sorghum, to quantify the responsive degree of sweet sorghum traits to the key factors, to analyze the requirements of envi-ronmental factors for high yield and quality, and to construct prediction models of yield. Based on the data of five traits and envi-ronmental factors obtained from six provinces of China in 2013 and 2014, we studied the responsiveness of sweet sorghum in five traits to environmental factors by the methods of RBF analysis and stepwise regression analysis. The results demonstrated that the environment was the dominant factor affecting the sweet sorghum traits, with greater effects than genotype and G×E interaction. Soil factors exerted more significant effects on sweet sorghum traits than meteorological factors. Precipitation, diurnal tempera-ture difference, soil pH, organic matter, total nitrogen, and available potassium were important environmental factors determining fresh yield, sugar brix, juice yield, sugar yield and stem diameter in sweet sorghum. Organic matter, pH value and total nitrogen content of soil were the three most important environmental factors. The prediction models for fresh weight yield and total sugar yield were verified by significant test with high determination coefficientR2. The paper provides an accurate and reliable theo-retical basis for ecological region division, planting management, high yield and good quality in sweet sorghum.%于2013年和2014年在天津、安徽、海南、黑龙江、新疆和内蒙古试验,应用 RBF网络模型、逐步回归等多元统计方法,从区域的角度阐明甜高粱产量及品质相关性状与环境因子之间的关系,明确影响目标性状的关键环境因子,量化关键环境因子的作用程度,剖析高产优质甜高粱对环境因子的要求并构建产量预测模型。结果表明,环境(E)效应对甜高粱性状的

  5. Slow pyrolysis of rice straw: analysis of products properties, carbon and energy yields.

    Science.gov (United States)

    Park, Jinje; Lee, Yongwoon; Ryu, Changkook; Park, Young-Kwon

    2014-03-01

    Among many uses of rice straw, application of its biochar from pyrolysis to the soil is receiving greater interest for increased crop productivity and sequestration of CO2. This study investigated slow pyrolysis of rice straw at 300-700°C to characterize the yields and detailed composition of the biochar, bio-oil and non-condensable gases. Biochar was analyzed for pH, microscopic surface area and pore volume distribution. Although the mass yield for the organic fraction was only about 25% above 500°C, biochar was the primary product of pyrolysis containing 40% of energy and 45% of carbon from the straw. The utilization of by-products (bio-oil and gases) as energy resources was essential, since the sum of energy yield was about 60%. The gases could be burned to produce the heat for an auto-thermal pyrolysis process, but the heat balance was significantly influenced by the moisture content of the raw material.

  6. Cryobiopsy in the diagnosis of diffuse interstitial lung disease: yield and cost-effectiveness analysis.

    Science.gov (United States)

    Hernández-González, Fernanda; Lucena, Carmen M; Ramírez, José; Sánchez, Marcelo; Jimenez, María José; Xaubet, Antoni; Sellares, Jacobo; Agustí, Carlos

    2015-06-01

    Assessment of patients with suspected interstitial lung disease (ILD) includes surgical lung biopsy (SLB) when clinical and radiological data are inconclusive. However, cryobiopsy is acquiring an important role in the ILD diagnostic process. The objective of this study was to evaluate the diagnostic yield, safety and economic costs of the systematic use of cryobiopsy in the assessment of patients with suspected ILD. This was a retrospective observational study of patients who had undergone transbronchial cryobiopsy for evaluation of ILD from January 2011 to January 2014. The procedures were performed with a video bronchoscope using a cryoprobe for the collection of lung parenchyma specimens, which were analyzed by pathologists. Diagnostic yield, complications and economic costs of this technique were analyzed. Criobiopsy specimens from a total of 33 patients were included. A specific diagnosis was obtained in 26, producing a diagnostic yield of 79%. In 5 patients, SLB was required for a histopathological confirmation of disease, but the procedure could not be performed in 4, due to severe comorbidities. The most frequent complications were pneumothorax (12%) and gradei (9%) or gradeii (21%) bleeding. There were no life-threatening complications. The systematic use of cryobiopsy saved up to €59,846. Cryobiopsy is a safe and potentially useful technique in the diagnostic assessment of patients with ILD. Furthermore, the systematic use of cryobiopsy has an important economic impact. Copyright © 2014 SEPAR. Published by Elsevier Espana. All rights reserved.

  7. An improvement of window factor analysis for resolution of noisy HPLC-DAD data

    Institute of Scientific and Technical Information of China (English)

    邵学广; 林祥钦; 邵利民; 李梅青

    2002-01-01

    Window factor analysis (WFA) is a powerful tool in analyzing evolutionary process. However, it was found that window factor analysis is much sensitive to the noise involved in original data matrix. An error analysis was done with the fact that the concentration profiles resolved by the conventional window factor analysis are easily distorted by the noise reserved by the abstract factor analysis (AFA), and a modified algorithm for window factor analysis was proposed. Both simulated and experimental HPLC-DAD data were investigated by the conventional and the improved methods. Results show that the improved method can yield less noise-distorted concentration profiles than the conventional method, and the ability for resolution of noisy data sets can be greatly enhanced.

  8. Effects of various factors of ultrasonic treatment on the extraction yield of all-trans-lycopene from red grapefruit (Citrus paradise Macf.).

    Science.gov (United States)

    Xu, Yuan; Pan, Siyi

    2013-07-01

    The effects of various factors, including the extraction time, temperature, solvent/material ratio, the ultrasonic intensity and duty cycle of ultrasonic irradiation on the extraction yield of all-trans-lycopene from red grapefruit by ultrasound-assisted extraction (UAE) were investigated. In comparison with conventional solvent extraction (CSE), UAE showed a pronounced greater extraction yield and reduced extraction time effectively with a peak value at 30 min. The extraction yield was significantly influenced by temperature and the optimum condition was 30 °C. The extraction yield increased with increasing of solvent/material ratio until equilibrium was arrived at the optimal ratio of 3:1 (mL/g). The extraction yield increased first and then decreased with an increase in ultrasonic intensity. The extraction yield of UAE increased with the increase of duty cycle, whereas pulsed ultrasound with proper intervals was more efficient than continuous ultrasonication. The degradation via isomerisation of all-trans-lycopene under ultrasonic treatment was also observed with the formation of 9,13'-di-cis-, 9,13-di-cis-, 15-cis-, 13-cis- and 9-cis-lycopene isomers which were tentatively identified by HPLC-PAD.

  9. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M.A. Wasiolek

    2005-04-28

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis

  10. QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.

    Directory of Open Access Journals (Sweden)

    Marathi Balram

    2012-08-01

    Full Text Available Abstract Background Rice is staple food for more than half of the world’s population including two billion Asians, who obtain 60-70% of their energy intake from rice and its derivatives. To meet the growing demand from human population, rice varieties with higher yield potential and greater yield stability need to be developed. The favourable alleles for yield and yield contributing traits are distributed among two subspecies i.e., indica and japonica of cultivated rice (Oryza sativa L.. Identification of novel favourable alleles in indica/japonica will pave way to marker-assisted mobilization of these alleles in to a genetic background to break genetic barriers to yield. Results A new plant type (NPT based mapping population of 310 recombinant inbred lines (RILs was used to map novel genomic regions and QTL hotspots influencing yield and eleven yield component traits. We identified major quantitative trait loci (QTLs for days to 50% flowering (R2 = 25%, LOD = 14.3, panicles per plant (R2 = 19%, LOD = 9.74, flag leaf length (R2 = 22%, LOD = 3.05, flag leaf width (R2 = 53%, LOD = 46.5, spikelets per panicle (R2 = 16%, LOD = 13.8, filled grains per panicle (R2 = 22%, LOD = 15.3, percent spikelet sterility (R2 = 18%, LOD = 14.24, thousand grain weight (R2 = 25%, LOD = 12.9 and spikelet setting density (R2 = 23%, LOD = 15 expressing over two or more locations by using composite interval mapping. The phenotypic variation (R2 ranged from 8 to 53% for eleven QTLs expressing across all three locations. 19 novel QTLs were contributed by the NPT parent, Pusa1266. 15 QTL hotpots on eight chromosomes were identified for the correlated traits. Six epistatic QTLs effecting five traits at two locations were identified. A marker interval (RM3276-RM5709 on chromosome 4 harboring major QTLs for four traits was identified. Conclusions The present study reveals that favourable alleles for

  11. Investigation of some effective factors on yield traits of Pepino (Solanum muricatum) as a new vegetable in Iran.

    Science.gov (United States)

    Nemati, S H; Karimian, Z; Tehranifar, A; Mashhadian, N V; Lakzian, A

    2009-03-15

    To find out the effects of media culture and foliar fertilization on some yield traits including the number of fruits per bush, mean weight of fruit, yield of per bush, long of fruits and diameter of fruits 9 months completely randomized factorial experiment (3 x 5) with four replications was conducted. Media culture treatments include 5 levels namely soil; mixture of soil and vermy compost; mixture of soil and sand; mixture of soil and peat moss and mixture of soil, sand and peat moss. Foliar fertilization treatments include 3 levels namely applying once a week, once a 3 week and no fertilization (control). The results showed that the media culture treatments on the whole of traits and foliar fertilization also on the whole of traits except yield of per bush had a significant difference (p foliar fertilization except yield per bush the once a 3 week fertilization caused highest increase than other treatments and in the media culture treatments, the mixture of soil and peat moss showed highest increase than other treatments.

  12. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    . Schölkopf et al. introduce kernel PCA. Shawe-Taylor and Cristianini is an excellent reference for kernel methods in general. Bishop and Press et al. describe kernel methods among many other subjects. Nielsen and Canty use kernel PCA to detect change in univariate airborne digital camera images. The kernel...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  13. What Is Rotating in Exploratory Factor Analysis?

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2015-01-01

    Full Text Available Exploratory factor analysis (EFA is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what - rotation- is, what exactly is rotating, and why we use rotation when performing EFAs. Some commentary about the relative utility and desirability of different rotation methods concludes the narrative.

  14. An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data

    Science.gov (United States)

    Shao, Yang; Campbell, James B.; Taff, Gregory N.; Zheng, Baojuan

    2015-06-01

    The Midwestern United States is one of the world's most important corn-producing regions. Monitoring and forecasting of corn yields in this intensive agricultural region are important activities to support food security, commodity markets, bioenergy industries, and formation of national policies. This study aims to develop forecasting models that have the capability to provide mid-season prediction of county-level corn yields for the entire Midwestern United States. We used multi-temporal MODIS NDVI (normalized difference vegetation index) 16-day composite data as the primary input, with digital elevation model (DEM) and parameter-elevation relationships on independent slopes model (PRISM) climate data as additional inputs. The DEM and PRISM data, along with three types of cropland masks were tested and compared to evaluate their impacts on model predictive accuracy. Our results suggested that the use of general cropland masks (e.g., summer crop or cultivated crops) generated similar results compared with use of an annual corn-specific mask. Leave-one-year-out cross-validation resulted in an average R2 of 0.75 and RMSE value of 1.10 t/ha. Using a DEM as an additional model input slightly improved performance, while inclusion of PRISM climate data appeared not to be important for our regional corn-yield model. Furthermore, our model has potential for real-time/early prediction. Our corn yield esitmates are available as early as late July, which is an improvement upon previous corn-yield prediction models. In addition to annual corn yield forecasting, we examined model uncertainties through spatial and temporal analysis of the model's predictive error distribution. The magnitude of predictive error (by county) appears to be associated with the spatial patterns of corn fields in the study area.

  15. Assessment of bioethanol yield by S. cerevisiae grown on oil palm residues: Monte Carlo simulation and sensitivity analysis.

    Science.gov (United States)

    Samsudin, Mohd Dinie Muhaimin; Mat Don, Mashitah

    2015-01-01

    Oil palm trunk (OPT) sap was utilized for growth and bioethanol production by Saccharomycescerevisiae with addition of palm oil mill effluent (POME) as nutrients supplier. Maximum yield (YP/S) was attained at 0.464g bioethanol/g glucose presence in the OPT sap-POME-based media. However, OPT sap and POME are heterogeneous in properties and fermentation performance might change if it is repeated. Contribution of parametric uncertainty analysis on bioethanol fermentation performance was then assessed using Monte Carlo simulation (stochastic variable) to determine probability distributions due to fluctuation and variation of kinetic model parameters. Results showed that based on 100,000 samples tested, the yield (YP/S) ranged 0.423-0.501g/g. Sensitivity analysis was also done to evaluate the impact of each kinetic parameter on the fermentation performance. It is found that bioethanol fermentation highly depend on growth of the tested yeast.

  16. Factorization and non-local 1/m{sub b} corrections in the decay anti B {yields} X{sub s}{gamma}

    Energy Technology Data Exchange (ETDEWEB)

    Benzke, Michael

    2011-06-10

    In this thesis, a systematic analysis of the anti B {yields} X{sub s}{gamma} photon spectrum in the endpoint region is presented. The endpoint region refers to a kinematic configuration of the final state, in which the photon has a large energy m{sub b}-2E{sub {gamma}}=O({lambda}{sub QCD}), while the jet has a large energy but small invariant mass. Using methods of soft-collinear effective theory and heavy-quark effective theory, it is shown that the spectrum can be factorized into hard, jet, and soft functions, each encoding the dynamics at a certain scale. The relevant scales in the endpoint region are the heavy-quark mass m{sub b}, the hadronic energy scale {lambda}{sub QCD} and an intermediate scale {radical}({lambda}{sub QCD}m{sub b}) associated with the invariant mass of the jet. It is found that the factorization formula contains two different types of contributions, distinguishable by the space-time structure of the underlying diagrams. On the one hand, there are the direct photon contributions which correspond to diagrams with the photon emitted directly from the weak vertex. The resolved photon contributions on the other hand arise at O(1/m{sub b}) whenever the photon couples to light partons. In this work, these contributions are explicitly defined in terms of convolutions of jet functions with subleading shape functions. While the direct photon contributions can be expressed in terms of a local operator product expansion, when the photon spectrum is integrated over a range larger than the endpoint region, the resolved photon contributions always remain non-local. Thus, they are responsible for a non-perturbative uncertainty on the partonic predictions. In this thesis, the effect of these uncertainties is estimated in two different phenomenological contexts. First, the hadronic uncertainties in the anti B {yields} X{sub s}{gamma} branching fraction, defined with a cut E{sub {gamma}} > 1.6GeV are discussed. It is found, that the resolved photon

  17. A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    An Gie Yong

    2013-10-01

    Full Text Available The following paper discusses exploratory factor analysis and gives an overview of the statistical technique and how it is used in various research designs and applications. A basic outline of how the technique works and its criteria, including its main assumptions are discussed as well as when it should be used. Mathematical theories are explored to enlighten students on how exploratory factor analysis works, an example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.

  18. Monte Carlo analysis of accelerator-driven systems studies on spallation neutron yield and energy gain

    CERN Document Server

    Hashemi-Nezhad, S R; Westmeier, W; Bamblevski, V P; Krivopustov, M I; Kulakov, B A; Sosnin, A N; Wan, J S; Odoj, R

    2001-01-01

    The neutron yield in the interaction of protons with lead and uranium targets has been studied using the LAHET code system. The dependence of the neutron multiplicity on target dimensions and proton energy has been calculated and the dependence of the energy amplification on the proton energy has been investigated in an accelerator-driven system of a given effective multiplication coefficient. Some of the results are compared with experimental findings and with similar calculations by the DCM/CEM code of Dubna and the FLUKA code system used in CERN. (14 refs).

  19. Yield of active screening for tuberculosis among asylum seekers in Germany: a systematic review and meta-analysis.

    Science.gov (United States)

    Bozorgmehr, Kayvan; Razum, Oliver; Saure, Daniel; Joggerst, Brigitte; Szecsenyi, Joachim; Stock, Christian

    2017-03-23

    All asylum seekers in Germany undergo upon-entry screening for tuberculosis TB, but comprehensive evidence on the yield is lacking. We compared the national estimates with the international literature in a systematic review and meta-analysis of studies reporting the yield of TB, defined as the fraction of active TB cases detected among asylum seekers screened in Germany upon entry. We searched 11 national and international databases for empirical studies and the internet for grey literature published in English or German without restrictions on publication time. Among 1,253 screened articles, we identified six articles reporting the yield of active TB based on German data, ranging from 0.72 (95% confidence interval (CI): 0.45-1.10) to 6.41 (95% CI: 4.19-9.37) per 1,000 asylum seekers. The pooled estimate across all studies was 3.47 (95% CI: 1.78-5.73; I(2) = 94.9%; p < 0.0001) per 1,000 asylum seekers. This estimate was in line with international evidence (I(2) = 0%; p for heterogeneity 0.55). The meta-analysis of available international estimates resulted in a pooled yield of 3.04 (95% CI: 2.24-3.96) per 1,000. This study provides an estimate across several German federal states for the yield of TB screening in asylum seekers. Further research is needed to develop more targeted screening programmes. This article is copyright of The Authors, 2017.

  20. Energy Efficiency Analysis and Modeling the Relationship between Energy Inputs and Wheat Yield in Iran

    Directory of Open Access Journals (Sweden)

    Fakher Kardoni

    2015-12-01

    Full Text Available Wheat is the dominant cereal crop constituting the first staple food in Iran. This paper studies the energy consumption patterns and the relationship between energy inputs and yield for Wheat production in Iranian agriculture during the period 1986 – 2008. The results indicated that total energy inputs in irrigated and dryland wheat production increased from 29.01 and 9.81 GJ ha-1 in 1986 to 44.67 and 12.35 GJ ha-1 in 2008, respectively. Similarly, total output energy rose from 28.87 and 10.43 GJ ha-1 in 1986 to 58.53 and 15.77 GJ ha-1 in 2008, in the same period. Energy efficiency indicators, input– output ratio, energy productivity, and net energy have improved over the examined period. The results also revealed that nonrenewable, direct, and indirect energy forms had a positive impact on the output level. Moreover, the regression results showed the significant effect of irrigation water and seed energies in irrigated wheat and human labor and fertilizer in dryland wheat on crop yield. Results of this study indicated that improvement of fertilizer efficiency and reduction of fuel consumption by modifying tillage, harvest method, and other agronomic operations can significantly affect the energy efficiency of wheat production in Iran.

  1. Analysis of the binder yield energy test as an indicator of fatigue behaviour of asphalt mixes

    Science.gov (United States)

    O’Connell, Johan; Mturi, Georges A. J.; Komba, Julius; Du Plessis, Louw

    2017-09-01

    Empirical binder testing has increasingly failed to predict pavement performance in South Africa, with fatigue cracking being one of the major forms of premature pavement distress. In response, it has become a national aspiration to incorporate a performance related fatigue test into the binder specifications for South Africa. The Binder Yield Energy Test (BYET) was the first in a series of tests analysed for its potential to predict the fatigue performance of the binder. The test is performed with the dynamic shear rheometer, giving two key parameters, namely, yield energy and shear strain at maximum shear stress (γτmax). The objective of the investigation was to perform a rudimentary evaluation of the BYET; followed by a more in-depth investigation should the initial BYET results prove promising. The paper discusses the results generated from the BYET under eight different conditions, using six different binders. The results are then correlated with four point bending beam fatigue test results obtained from asphalt mix samples that were manufactured from the same binders. Final results indicate that the BYET is not ideal as an indicator of fatigue performance.

  2. Analysis of S Wave Propagation Through a Nonlinear Joint with the Continuously Yielding Model

    Science.gov (United States)

    Cui, Zhen; Sheng, Qian; Leng, Xianlun

    2017-01-01

    Seismic wave propagation through joints that are embedded in a rock mass is a critical issue for aseismic issues of underground rock engineering. Few studies have investigated nonlinear joints with a continuously yielding model. In this paper, a time-domain recursive method (TDRM) for an S wave across a nonlinear Mohr-Coulomb (MC) slip model is extended to a continuously yielding (CY) model. Verification of the TDRM-based results is conducted by comparison with the simulated results via a built-in model of 3DEC code. Using parametric studies, the effect of normal stress level, amplitude of incident wave, initial joint shear stiffness, and joint spacing is discussed and interpreted for engineering applications because a proper in situ stress level (overburden depth) and acceptable quality of surrounding rock mass are beneficial for seismic stability issues of underground rock excavation. Comparison between the results from the MC model and the CY model is presented both for an idealized impulse excitation and a real ground motion record. Compared with the MC model, complex joint behaviors, such as tangential stiffness degradation, normal stress dependence, and the hysteresis effect, that occurred in the wave propagation can be described with the CY model. The MC model seems to underestimate the joint shear displacement in a high normal stress state and in a real ground motion excitation case.

  3. Combining ability analysis for yield and fibre quality parameters in intraspecific hybrids of G. hirsutum L.

    Directory of Open Access Journals (Sweden)

    N.A.Saravanan, N.A., R. Ravikesavan and T.S. Raveendran

    2010-07-01

    Full Text Available Four genetically diverse jassid resistant varieties viz., SRT 1, Khandwa 2, KC 2 and SVPR 3 (Females i.e lines were crossedwith three standard varieties viz., MCU 5, MCU 7 and MCU 12 (male parents i.e., testers in line x tester fashion for estimationin combining ability effects of twelve economic characters including fibre quality traits like 2.5% span length, bundle strength,fibre fineness, uniformity ratio and elongation percentage. Non-additive type of gene action was found relatively more importantfor all the characters. The jassid resistant parent KC 2 was a good combiner for boll weight, lint index, seed index and bundlestrength besides seed cotton yield. While the parents SRT 1 and MCU 5 were found to be good general combiner for 2.5 per centspan length. On the basis of sca effects the combinations KC 2 x MCU 5, KC 2 x MCU 12 and Khandwa 2 x MCU 5 were thebest hybrids for combining high yield, quality and jassid resistance.

  4. Analysis of the stability for yield in maize (Zea mays hybrids in the central Ecuadorian Coastal Region

    Directory of Open Access Journals (Sweden)

    Daniel Vera Aviles

    2013-09-01

    Full Text Available The objective of this study was to determine the stability of commercial and experimental maize hybrids in the Central Ecuadorian Coastal Region. During a period from december 2010 to april 2011 uniform trials of yield in four locations with contrasting environments were evaluated. The genetic material was constituted by five experimental hybrids and three commercial. The experimental design used was completely randomized blocks design with four replications; the experimental plots were two rows with a length of 5.0 m separated to 0.90 meters. The combined analysis of variance proposed by Eberhart and Russel was statistical significance as well as for genotype and for interaction. The average yield showed that between experimental hybrids two, (SM45 x SSD08SV39 and (SM45 x SV15SV39, were highlighted with averages higher than 7.0 t ha-1 whilst AG-003 was the highlighted commercial hybrid with a yield of 7.48 t ha-1. The best yields and environmental indexes were registered in the locations of Quevedo and Vinces, the lowest environmental indexes were for Balzar and Ventanas. In relation to the tendency of response of the outstanding genotypes in the four evaluation environments, it was particularly observed that genotypes are desirable by virtue of the outstanding results in both favorable and unfavorable environments.

  5. Effects of climatic factors, drought risk and irrigation requirement on maize yield in the Northeast Farming Region of China

    DEFF Research Database (Denmark)

    Yin, Xiaogang; Jabloun, Mohamed; Olesen, Jørgen Eivind;

    2016-01-01

    , drought risk and irrigation requirement on rain-fed maize yield in specific maize growth phases. The maize growing season was divided into four growth phases comprising seeding, vegetative, flowering and maturity based on observations of phenological data from 1981 to 2010. The dual crop coefficient...... was used to calculate crop evapotranspiration and soil water balance during the maize growing season. The effects of mean temperature, solar radiation, effective rainfall, water deficit, drought stress days, actual crop evapotranspiration and irrigation requirement in different growth phases were included...... in the statistical model to predict maize yield. During the period 1961–2010, mean temperature increased significantly in all growth phases in NFR, while solar radiation decreased significantly in southern NFR in the seeding, vegetative and flowering phases. Effective rainfall increased in the seeding and vegetative...

  6. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    of PCA and related techniques. An interesting dilemma in reduction of dimensionality of data is the desire to obtain simplicity for better understanding, visualization and interpretation of the data on the one hand, and the desire to retain sufficient detail for adequate representation on the other hand......Based on work by Pearson in 1901, Hotelling in 1933 introduced principal component analysis (PCA). PCA is often used for general feature generation and linear orthogonalization or compression by dimensionality reduction of correlated multivariate data, see Jolliffe for a comprehensive description...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  7. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle

  8. Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

    Science.gov (United States)

    Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

    2014-11-01

    Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

  9. Meta-analysis of the effects of ractopamine hydrochloride on carcass cutability and primal yields of finishing pigs.

    Science.gov (United States)

    Bohrer, B M; Kyle, J M; Boler, D D; Rincker, P J; Ritter, M J; Carr, S N

    2013-02-01

    The objective was to summarize previous literature, using a meta-analysis approach, on the effects of ractopamine hydrochloride (RAC) when fed at doses of 5 to 10 mg/kg for up to 35 d before harvest on carcass cutability and belly quality of finishing pigs. The meta-analysis provided an opportunity to determine the consensus of previously published literature. Ten studies were evaluated to determine cutting yields and 8 studies were used to determine belly quality in this review. Pooled dietary RAC concentrations (5 mg/kg, 7.4 mg/kg, 10 mg/kg, and step-up feeding programs) and pooled feeding durations (up to 35 d before harvest) were compared with pigs not fed RAC (controls) and were analyzed as a meta-analysis using the mixed procedure of SAS. Ractopamine inclusion was the fixed effect in the model and the individual study was considered a random variable. The only difference between RAC and control pigs for whole primals as a percentage of side weight was the whole ham (P pigs having a carcass cutting yield (74.70% vs. 73.69%, respectively; P = 0.02; SED = 0.33) advantage of 1.01% units and a bone in lean cutting yield (61.43% vs. 60.33%, respectively; P = 0.03; SED = 0.40) advantage of 1.10% units when compared with control pigs. The advantage in bone-in cutability was a result of increased boneless sub primal yields in each of the lean cuts (shoulder, loin, and ham). When further evaluated, RAC pigs had a boneless shoulder (Boston butt + picnic) yield advantage of 0.32% units (P pigs when compared with control pigs. There were no subprimal yield differences (P = 0.93) in the trimmed belly between RAC pigs (12.18%) and control pigs (12.18%). However, RAC pigs (15.27 cm; 73.42) had narrower flop distances (P = 0.02; SED = 0.62) and greater iodine values (P = 0.01; SED = 0.33), respectively, when compared with control pigs (17.08 cm; 71.48).

  10. Analysis of Yielding Steel Arch Support with Rock Bolts in Mine Roadways Stability Aspect

    Science.gov (United States)

    Majcherczyk, Tadeusz; Niedbalski, Zbigniew; Małkowski, Piotr; Bednarek, łukasz

    2014-10-01

    The result of the search for new technological solutions in the field of support for roadways in coal mines has in recent years been the widespread use of steel arch with rockbolt support systems. The efficiency of these systems is affected among other things by the option of installing rock bolts after the actual driving the mine roadway, the increased load capacity that these systems can support, and their resistance to dynamic weight. Large variation in the way that these steel arch support can be connected using different types of rock bolts necessitates mining research revealing the effectiveness of such solutions. Although the steel arch with rockbolt support system is used in the majority of European coal mines, it is still not possible to apply templates of schemes due to the diversity of geological and mining conditions. Therefore, throughout a period of several years, the authors of this article conducted research in situ under conditions of different schemes related to connecting arched support frames with rock bolts, with only selected results being presented in the article. The measurements of convergence, load supported by the system frame, load supported by the rock bolts, and the stratification of roof rocks were analyzed, carried out in two roadways with yielding steel arch support in which strand bolts were applied. The article also proposes the index for working maintenance nuw, used in preliminarily assessing the stability of a given working with a limited number of data concerning geomechanical conditions. Additionally considered are empirical methods used in Poland for designing steel arch with rock bolt support systems. The results of mine research indicate that strengthening yielding steel support with strand bolts through steel beams maintains the stability of a roadway, even when exposed to the exploitation stress. Aside from the impact of exploitation, deformations of the support system are negligible, despite the fact that the tensile

  11. Factors affecting the population density of weeds and yield loss of them in wheat: a case study in Golestan province – Bandargaz

    Directory of Open Access Journals (Sweden)

    Mohamad Zaman Nekahi

    2016-05-01

    Full Text Available To investigate the factors affecting the population density of weeds and yield loss of them in wheat, a non systematic survey experiment was conducted in 45 fields in the township of Bandar-gaz (Sarmahaleh village in 2012. Sampling of wheat and weeds were taken in two stages (Heading and Harvest maturity by randomized to the five points of each field using quadrate size 1m*1m. In this study all information about crop management including Land area , farmers experience , the seed bed preparation, sowing date , cultivar and site preparation of them, sowing ways , seed rate , weeds control ways , kind , amount and time of herbicide , fungicide use and wheat harvest time were collected during a growing season by preparing questionnaire and complete them with farmers. At the end of the growing season, the actual yield harvested by farmers’ ‬ recorded. Among the various parameters, Wheat plant and raceme density, farmer experience, Kind of variety and use of Tapic+Geranestar herbicide had significant effects on weed population. With increased wheat plant density, weed density decreased. Also there was less weed density in field of high experience farmer. Weed density was lesser in N8118 variety than N8019 variety and not use Tapic+granestar herbicide due to increased of weeds density. Among weed different species, Avena sp, Phalaris minor and Sinapis arvense had highest negative effect on wheat yield. Model study showed if wheat plant density was optimum and there were weeds, yield will be 2713kg/ha and if weeds remove yield will increase to 2877kg/ha (yield gap equal164kg/ha. Amaong weed, Phalaris minor (12 plant per m-2, Sinapis arvensis (3plant per m-2 and Avena sp (2 plant per m-2 with 65, 18 and 17% yield loss respectively, were the strongest competitor with wheat.

  12. Thermal and electrical energy yield analysis of a directly water cooled photovoltaic module

    Directory of Open Access Journals (Sweden)

    Mtunzi Busiso

    2016-01-01

    Full Text Available Electrical energy of photovoltaic modules drops by 0.5% for each degree increase in temperature. Direct water cooling of photovoltaic modules was found to give improved electrical and thermal yield. A prototype was put in place to analyse the field data for a period of a year. The results showed an initial high performance ratio and electrical power output. The monthly energy saving efficiency of the directly water cooled module was found to be approximately 61%. The solar utilisation of the naturally cooled photovoltaic module was found to be 8.79% and for the directly water cooled module its solar utilisation was 47.93%. Implementation of such systems on households may reduce the load from the utility company, bring about huge savings on electricity bills and help in reducing carbon emissions.

  13. Ectopic expression of a hot pepper bZIP-like transcription factor in potato enhances drought tolerance without decreasing tuber yield.

    Science.gov (United States)

    Moon, Seok-Jun; Han, Se-Youn; Kim, Dool-Yi; Yoon, In Sun; Shin, Dongjin; Byun, Myung-Ok; Kwon, Hawk-Bin; Kim, Beom-Gi

    2015-11-01

    Over-expression of group A bZIP transcription factor genes in plants improves abiotic stress tolerance but usually reduces yields. Thus, there have been several efforts to overcome yield penalty in transgenic plants. In this study, we characterized that expression of the hot pepper (Capsicum annuum) gene CaBZ1, which encodes a group S bZIP transcription factor, was induced by salt and osmotic stress as well as abscisic acid (ABA). Transgenic potato (Solanum tuberosum) plants over-expressing CaBZ1 exhibited reduced rates of water loss and faster stomatal closure than non transgenic potato plants under drought and ABA treatment conditions. CaBZ1 over-expression in transgenic potato increased the expression of ABA- and stress-related genes (such as CYP707A1, CBF and NAC-like genes) and improved drought stress tolerance. Interestingly, over-expression of CaBZ1 in potato did not produce undesirable growth phenotypes in major agricultural traits such as plant height, leaf size and tuber formation under normal growth conditions. The transgenic potato plants also had higher tuber yields than non transgenic potato plants under drought stress conditions. Thus, CaBZ1 may be useful for improving drought tolerance in tuber crops. This might be the first report of the production of transgenic potato with improved tuber yields under drought conditions.

  14. A Preliminary Study on Rainfall Interception Loss and Water Yield Analysis on Arabica Coffee Plants in Central Aceh Regency, Indonesia

    Directory of Open Access Journals (Sweden)

    Reza Benara

    2012-12-01

    Full Text Available Rainfall interception loss from plants or trees can reduce a net rainfall as source of water yield. The amount of rainfall interception loss depends on kinds of plants and hydro-meteorological characteristics. Therefore, it is important to study rainfall interception loss such as from Arabica Coffee plantation which is as main agricultural commodity for Central Aceh Regency. In this study, rainfall interception loss from Arabica Coffee plants was studied in Kebet Village of Central Aceh Regency, Indonesia from January 20 to March 9, 2011. Arabica coffee plants used in this study was 15 years old, height of 1.5 m and canopy of 4.567 m2. Rainfall interception loss was determined based on water balance approach of daily rainfall, throughfall, and stemflow data. Empirical regression equation between rainfall interception loss and rainfall were adopted as a model to estimate rainfall interception loss from Arabica Coffee plantation, which the coefficient of correlation, r is 0.98. In water yield analysis, this formula was applied and founded that Arabica Coffee plants intercept 76% of annual rainfall or it leaved over annual net rainfall 24% of annual rainfall. Using this net rainfall, water yield produced from Paya Bener River which is the catchment area covered by Arabica Coffee plantation was analyzed in a planning of water supply project for water needs domestic of 3 sub-districts in Central Aceh Regency. Based on increasing population until year of 2025, the results showed that the water yield will be not enough from year of 2015. However, if the catchment area is covered by forest, the water yield is still enough until year of 2025

  15. Analysis of Ultra Linguistic Factors in Interpretation

    Institute of Scientific and Technical Information of China (English)

    姚嘉

    2015-01-01

    The quality of interpretation is a dynamic conception, involving a good deal of variables, such as the participants, the situations, working conditions, cultures etc.. Therefore, in interpretation, those static elements, such as traditional grammars and certain linguistic rules can not be counted as the only criteria for the quality of interpretation. That is, there are many other non-language elements—Ultra-linguistic factors that play an important role in interpretation. Ultra-linguistic factors get rid of the bounding of traditional grammar and parole, and reveal the facts in an indirect way. This paper gives a brief analysis of Ultra Lin⁃guistic elements in interpretation in order to achieve better result in interpretation practice.

  16. Factor Rotation and Standard Errors in Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.

    2015-01-01

    In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical…

  17. Interannual climatic variability effects on yield, berry and wine quality indices in long-term deficit irrigated grapevines, determined by multivariate analysis

    Directory of Open Access Journals (Sweden)

    Romero P

    2016-08-01

    growing season and greater solar radiation during ripening were the main climatic factors that positively influenced the yield response, berry and wine quality. Besides, berry quality in PRI was more affected (negatively by high temperatures (high Tªmax and Tªmin during the growing season than in RDI and SDI, indicating that cooler and humid years may favor the PRI response more. These results suggest that years with a cool, wet winter followed by a mild, wet spring and early summer (April–June and a mild fruit set–véraison period (June–July, and then greater solar radiation during ripening (August–mid-September provide adequate growth potential and increase the likelihood of higher berry and wine quality in PRI. Besides, more irrigated SDI vines were less sensitive to high temperatures and low soil water content during ripening than RDI and PRI vines. Keywords: berry quality indices, climatic factors, multivariate analysis, deficit irrigation techniques, wine quality index, yield

  18. Homogeneity analysis of high yield manufacturing process of mems-based pzt thick film vibrational energy harvesters

    DEFF Research Database (Denmark)

    Lei, Anders; Xu, Ruichao; Pedersen, C.M.

    2011-01-01

    This work presents a high yield wafer scale fabrication of MEMS-based unimorph silicon/PZT thick film vibrational energy harvesters aimed towards vibration sources with peak frequencies in the range of a few hundred Hz. By combining KOH etching with mechanical front side protection, SOI wafer...... to accurately define the thickness of the silicon part of the harvester and a silicon compatible PZT thick film screen-printing technique, we are able to fabricate energy harvesters on wafer scale with a yield higher than 90%. The characterization of the fabricated harvesters is focused towards the full wafer....../mass-production aspect; hence the analysis of uniformity in harvested power and resonant frequency....

  19. Best Linear Unbiased Prediction (BLUP) for regional yield trials: a comparison to additive main effects and multiplicative interaction (AMMI) analysis.

    Science.gov (United States)

    Piepho, H P

    1994-11-01

    Multilocation trials are often used to analyse the adaptability of genotypes in different environments and to find for each environment the genotype that is best adapted; i.e. that is highest yielding in that environment. For this purpose, it is of interest to obtain a reliable estimate of the mean yield of a cultivar in a given environment. This article compares two different statistical estimation procedures for this task: the Additive Main Effects and Multiplicative Interaction (AMMI) analysis and Best Linear Unbiased Prediction (BLUP). A modification of a cross validation procedure commonly used with AMMI is suggested for trials that are laid out as a randomized complete block design. The use of these procedure is exemplified using five faba bean datasets from German registration trails. BLUP was found to outperform AMMI in four of five faba bean datasets.

  20. Milk yield and milk composition responses to change in predicted net energy and metabolizable protein: a meta-analysis.

    Science.gov (United States)

    Daniel, J B; Friggens, N C; Chapoutot, P; Van Laar, H; Sauvant, D

    2016-12-01

    Using a meta-analysis of literature data, this study aimed to quantify the dry matter (DM) intake response to changes in diet composition, and milk responses (yield, milk component yields and milk composition) to changes in dietary net energy for lactation (NEL) and metabolizable protein (MP) in dairy cows. From all studies included in the database, 282 experiments (825 treatments) with experimentally induced changes in either NEL or MP content were kept for this analysis. These treatments covered a wide range of diet characteristics and therefore a large part of the plausible NEL and MP contents and supplies that can be expected in practical situations. The average MP and NEL contents were, respectively (mean±SD), 97±12 g/kg DM and 6.71±0.42 MJ/kg DM. On a daily supply basis, there were high between-experiment correlations for MP and NEL above maintenance. Therefore, supplies of MP and NEL above maintenance were, respectively, centred on MP supply for which MP efficiency into milk protein is 0.67, and NEL above maintenance supply for which the ratio of NEL milk/NEL above maintenance is 1.00 (centred variables were called MP67 and NEL100). The majority of the selected studies used groups of multiparous Holstein-Friesian cows in mid lactation, milked twice a day. Using a mixed model, between- and within-experiment variation was split to estimate DM intake and milk responses. The use of NEL100 and MP67 supplies substantially improved the accuracy of the prediction of milk yield and milk component yields responses with, on average, a 27% lower root mean square error (RMSE) relative to using dietary NEL and MP contents as predictors. For milk composition (g/kg), the average RMSE was only 3% lower on a supply basis compared with a concentration basis. Effects of NEL and MP supplies on milk yield and milk component yields responses were additive. Increasing NEL supply increases energy partitioning towards body reserve, whereas increasing MP supply increases the

  1. Development of analysis and reconstruction tools in Opera and analysis of {tau} {yields} 3 charged hadrons channel; Developpement des outils d'analyse et de reconstruction dans OPERA et analyse du canal {tau} {yields} 3 hadrons charges

    Energy Technology Data Exchange (ETDEWEB)

    Lavy, M

    2004-07-01

    OPERA aims to prove the existence of {nu}{sub {mu}} {yields} {nu}{sub {tau}} oscillation by a direct observation of {nu}{sub {tau}} appearance in a {nu}{sub {mu}} beam. To achieve this goal, a pure {nu}{sub {mu}} beam is produced at CERN and directed towards the Gran Sasso underground laboratory where the OPERA detector is located. The nuclear emulsions composing the detector have a very high degree of accuracy in position ({mu}m) and should allow {tau} lepton detection produced via {nu}{sub {tau}} charged current interaction. The emulsions analysis is thus a key point of the OPERA experiment. The development of simulation and reconstruction software is a part of this thesis work. In an other part of this thesis, it is shown that with a suitable kinematic analysis, the 3 charged hadrons tau decay channel can be used as any tau decay channels in the OPERA data analysis. (author)

  2. Model correction factor method for system analysis

    DEFF Research Database (Denmark)

    Ditlevsen, Ove Dalager; Johannesen, Johannes M.

    2000-01-01

    The Model Correction Factor Method is an intelligent response surface method based on simplifiedmodeling. MCFM is aimed for reliability analysis in case of a limit state defined by an elaborate model. Herein it isdemonstrated that the method is applicable for elaborate limit state surfaces on which...... severallocally most central points exist without there being a simple geometric definition of the corresponding failuremodes such as is the case for collapse mechanisms in rigid plastic hinge models for frame structures. Taking as simplifiedidealized model a model of similarity with the elaborate model...... surface than existing in the idealized model....

  3. Relationship between High Yield in Cone Production for Pinus sy lvest ris var .mongolica and Temperature Factor%温度因子与樟子松球果产量丰产的关系

    Institute of Scientific and Technical Information of China (English)

    柴汝松; 侯庆娟

    2014-01-01

    为了分析温度因子与樟子松(Pinus sylvestnis var .mongolica Litv .)球果产量丰歉产之间的关系,设置3块面积为150 m×300 m的样带,连续6年对样带内单株樟子松的结实量和月平均温度进行调查,结合以上数据,逐年进行处理,采用因子筛选法和线性回归分析,进行温度因子与樟子松球果产量的相关系数分析。结果表明:球果生长期第3年3月份月均温、第2年11月的极端最高温度与樟子松球果产量之间的相关系数颇高,回归关系显著。%In order to analyze the relationship among temperature factor ,high yield and low yield in cone production for Pinus sylvestris var .mongolica ,three sample plots were set in the study area ;the cone production and the monthly mean temperature were investigated for six consecutive years ;combining the above data ,analyzed year by year;correlation coefficient analysis be-tween temperature factor & yield of cones were conducted by using factor screening method & linear regression analysis .Re-sult shows that :the correlation coefficient among the monthly mean temperature in March in the 3rd year of cone growing stage ,extreme temperature in November in the 2nd year ,the yield among the cone production of Pinus sylvestris var .mongol-ica is quite high and its regression relationship is significant .

  4. Spatiotemporal factors affecting fish harvest and their use in estimating the monthly yield of single otter trawls in Putuo district of Zhoushan, China

    Institute of Scientific and Technical Information of China (English)

    WANG Yingbin; ZHENG Ji; WANG Yang; ZHENG Xianzhi

    2012-01-01

    We used generalized additive models (GAM) to analyze the relationship between spatiotemporal factors and catch,and to estimate the monthly marine fishery yield of single otter trawls in Putuo district of Zhoushan,China.We used logbooks from five commercial fishing boats and data in government's monthly statistical reports.We developed two GAM models:one included temporal variables (month and hauling time) and spatial variables (longitude and latitude),and another included just two variables,month and the number of fishing boats.Our results suggest that temporal factors explained more of the variability in catch than spatial factors.Furthermore,month explained the majority of variation in catch.Change in spatial distribution of fleet had a temporal component as the boats fished within a relatively small area within the same month,but the area varied among months.The number of boats fishing in each month also explained a large proportion of the variation in catch.Engine power had no effect on catch.The pseudo-coefficients (PCf) of the two GAMs were 0.13 and 0.29 respectively,indicating the both had good fits.The model yielded estimates that were very similar to those in the governmental reports between January to September,with relative estimate errors (REE) of <18%.However,the yields in October and November were significantly underestimated,with REEs of 36% and 27%,respectively.

  5. QTL analysis for early yield in a pseudo F2 population of cassava

    African Journals Online (AJOL)

    SERVER

    2008-01-18

    Jan 18, 2008 ... reconsideration of breeding strategies for improvement of this complex trait. Key words: ... markers can also facilitate marker- assisted selection. (MAS) in a modest ...... (1996). QTL analysis of pest resistance in the wild tomato.

  6. Scalable group level probabilistic sparse factor analysis

    DEFF Research Database (Denmark)

    Hinrich, Jesper Løve; Nielsen, Søren Føns Vind; Riis, Nicolai Andre Brogaard

    2017-01-01

    Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a scalable group level probabilistic sparse factor analysis (psFA) allowing spatially sparse maps, component...... pruning using automatic relevance determination (ARD) and subject specific heteroscedastic spatial noise modeling. For task-based and resting state fMRI, we show that the sparsity constraint gives rise to components similar to those obtained by group independent component analysis. The noise modeling...... shows that noise is reduced in areas typically associated with activation by the experimental design. The psFA model identifies sparse components and the probabilistic setting provides a natural way to handle parameter uncertainties. The variational Bayesian framework easily extends to more complex...

  7. Disruptive Event Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this

  8. Statistical analysis of factors affecting crop production in Navrongo, Tono irrigation dam a case study

    Directory of Open Access Journals (Sweden)

    D. JAKPERIK

    2013-02-01

    Full Text Available This study identified the essential factors of production in the Tono irrigation dam of the Upper East Region. The accessibility and patronage of these factors by farmers in this area was studied and how they influence crop production in the Region. A total of two hundred questionnaires designed by the Ministry of Food and Agriculture for farmers in Navrongo were administered. A snowball sampling design was employed to identify farmers on these facilities in the study area. Pearson correlation coefficient, principal component analysis, and subset regression analysis were used to unveil the relevant information in the study. The results revealed a high correlation between the factors of production being studied with each pair having a probability level less than 0.0001. The full general linear model was highly significant (F=662.50, psmaller tahn 0.0001 with only two factors (Farm size and Fertilizer accounting for 98.86% of the total variation in yield. This is a clear indication of multicollinearity and a subset regression analysis was used to identify the best subset that improves yield in the irrigation dam. The best subset comprised of Age, Farm size, seed, and Fertilizer accounting for 97.75% of the total variation in crop production in Navrongo. To enhance yield in Navrongo therefore, high yielding seeds, timely granting of fertilizer credit to farmers who mature enough and responsible with reasonable farm sizes should be encouraged.

  9. Conformational analysis of a Chlamydia-specific disaccharide {alpha}-Kdo-(2{sup {yields}}8)-{alpha}-Kdo-(2{sup {yields}}O)-allyl in aqueous solution and bound to a monoclonal antibody: Observation of intermolecular transfer NOEs

    Energy Technology Data Exchange (ETDEWEB)

    Sokolowski, Tobias; Haselhorst, Thomas; Scheffler, Karoline [Medizinische Universitaet, Institut fuer Chemie (Germany); Weisemann, Ruediger [Bruker Analytik GmbH, Silberstreifen (Germany); Kosma, Paul [Institut fuer Chemie der Universitaet fuer Bodenkultur Wien (Austria); Brade, Helmut; Brade, Lore [Forschungszentrum Borstel, Zentrum fuer Medizin und Biowissenschaften Parkallee 22 (Germany); Peters, Thomas [Medizinische Universitaet, Institut fuer Chemie (Germany)

    1998-07-15

    The disaccharide {alpha}-Kdo-(2{sup {yields}}8)-{alpha}-Kdo (Kdo: 3-deoxy-d-manno-oct-2-ulosonic acid) represents a genus-specific epitope of the lipopolysaccharide of the obligate intracellular human pathogen Chlamydia. The conformation of the synthetically derived disaccharide {alpha}-Kdo-(2{sup {yields}}8)-{alpha}-Kdo-(2{sup {yields}}O)-allyl was studied in aqueous solution, and complexed to a monoclonal antibody S25-2. Various NMR experiments based on the detection of NOEs (or transfer NOEs) and ROEs (or transfer ROEs) were performed. A major problem was the extensive overlap of almost all {sup 1}H NMR signals of {alpha}-Kdo-(2{sup {yields}}8)-{alpha}-Kdo-(2{sup {yields}}O)-allyl. To overcome this difficulty, HMQC-NOESY and HMQC-trNOESY experiments were employed. Spin diffusion effects were identified using trROESY experiments, QUIET-trNOESY experiments and MINSY experiments. It was found that protein protons contribute to the observed spin diffusion effects. At 800 MHz, intermolecular trNOEs were observed between ligand protons and aromatic protons in the antibody binding site. From NMR experiments and Metropolis Monte Carlo simulations, it was concluded that {alpha}-Kdo-(2{sup {yields}}8)-{alpha}-Kdo-(2{sup {yields}}O)-allyl in aqueous solution exists as a complex conformational mixture. Upon binding to the monoclonal antibody S25-2, only a limited range of conformations is available to {alpha}-Kdo-(2{sup {yields}}8)-{alpha}-Kdo-(2{sup {yields}}O)-allyl. These possible bound conformations were derived from a distance geometry analysis using transfer NOEs as experimental constraints. It is clear that a conformation is selected which lies within a part of the conformational space that is highly populated in solution. This conformational space also includes the conformation found in the crystal structure. Our results provide a basis for modeling studies of the antibody-disaccharide complex.

  10. Multivariate factor analysis of Girgentana goat milk composition

    Directory of Open Access Journals (Sweden)

    Pietro Giaccone

    2010-01-01

    Full Text Available The interpretation of the several variables that contribute to defining milk quality is difficult due to the high degree of  correlation among them. In this case, one of the best methods of statistical processing is factor analysis, which belongs  to the multivariate groups; for our study this particular statistical approach was employed.  A total of 1485 individual goat milk samples from 117 Girgentana goats, were collected fortnightly from January to July,  and analysed for physical and chemical composition, and clotting properties. Milk pH and tritable acidity were within the  normal range for fresh goat milk. Morning milk yield resulted 704 ± 323 g with 3.93 ± 1.23% and 3.48±0.38% for fat  and protein percentages, respectively. The milk urea content was 43.70 ± 8.28 mg/dl. The clotting ability of Girgentana  milk was quite good, with a renneting time equal to 16.96 ± 3.08 minutes, a rate of curd formation of 2.01 ± 1.63 min-  utes and a curd firmness of 25.08 ± 7.67 millimetres.  Factor analysis was performed by applying axis orthogonal rotation (rotation type VARIMAX; the analysis grouped the  milk components into three latent or common factors. The first, which explained 51.2% of the total covariance, was  defined as “slow milks”, because it was linked to r and pH. The second latent factor, which explained 36.2% of the total  covariance, was defined as “milk yield”, because it is positively correlated to the morning milk yield and to the urea con-  tent, whilst negatively correlated to the fat percentage. The third latent factor, which explained 12.6% of the total covari-  ance, was defined as “curd firmness,” because it is linked to protein percentage, a30 and titatrable acidity. With the aim  of evaluating the influence of environmental effects (stage of kidding, parity and type of kidding, factor scores were anal-  ysed with the mixed linear model. Results showed significant effects of the season of

  11. Analysis of transfer reactions: determination of spectroscopic factors

    Energy Technology Data Exchange (ETDEWEB)

    Keeley, N. [CEA Saclay, Dept. d' Astrophysique, de Physique des Particules de Physique Nucleaire et de l' Instrumentation Associee (DSM/DAPNIA/SPhN), 91- Gif sur Yvette (France); The Andrzej So an Institute for Nuclear Studies, Dept. of Nuclear Reactions, Warsaw (Poland)

    2007-07-01

    An overview of the most popular models used for the analysis of direct reaction data is given, concentrating on practical aspects. The 4 following models (in order of increasing sophistication): the distorted wave born approximation (DWBA), the adiabatic model, the coupled channels born approximation, and the coupled reaction channels are briefly described. As a concrete example, the C{sup 12}(d,p)C{sup 13} reaction at an incident deuteron energy of 30 MeV is analysed with progressively more physically sophisticated models. The effect of the choice of the reaction model on the spectroscopic information extracted from the data is investigated and other sources of uncertainty in the derived spectroscopic factors are discussed. We have showed that the choice of the reaction model can significantly influence the nuclear structure information, particularly the spectroscopic factors or amplitudes but occasionally also the spin-parity, that we wish to extract from direct reaction data. We have also demonstrated that the DWBA can fail to give a satisfactory description of transfer data but when the tenets of the theory are fulfilled DWBA can work very well and will yield the same results as most sophisticated models. The use of global rather than fitted optical potentials can also lead to important differences in the extracted spectroscopic factors.

  12. The Italian version of the Junior Eysenck Personality Questionnaire: a confirmatory factor analysis.

    Science.gov (United States)

    Vidotto, Giulio; Cioffi, Raffaele; Saggino, Aristide; Wilson, Glenn

    2008-12-01

    An experimental version of the Italian Junior Eysenck Personality Questionnaire with a 5-point scale was administered to a group of 1,000 high school students, 200 within each age group from 11 to 15 years. Following a previous exploratory factor analysis, which yielded a fourth factor in addition to the original three, the aim of the present research was to study the factor structure of the Italian version using confirmatory factor analysis. Three models were tested, a three-factor orthogonal model, a three-factor oblique model, and a four-factor model based on an a priori separation of extraversion items into two sets. None of the considered models converged satisfactorily. An interpretation of the results was proposed.

  13. Computer analysis of effects of altering jet fuel properties on refinery costs and yields

    Science.gov (United States)

    Breton, T.; Dunbar, D.

    1984-01-01

    This study was undertaken to evaluate the adequacy of future U.S. jet fuel supplies, the potential for large increases in the cost of jet fuel, and to what extent a relaxation in jet fuel properties would remedy these potential problems. The results of the study indicate that refiners should be able to meet jet fuel output requirements in all regions of the country within the current Jet A specifications during the 1990-2010 period. The results also indicate that it will be more difficult to meet Jet A specifications on the West Coast, because the feedstock quality is worse and the required jet fuel yield (jet fuel/crude refined) is higher than in the East. The results show that jet fuel production costs could be reduced by relaxing fuel properties. Potential cost savings in the East (PADDs I-IV) through property relaxation were found to be about 1.3 cents/liter (5 cents/gallon) in January 1, 1981 dollars between 1990 and 2010. However, the savings from property relaxation were all obtained within the range of current Jet A specifications, so there is no financial incentive to relax Jet A fuel specifications in the East. In the West (PADD V) the potential cost savings from lowering fuel quality were considerably greater than in the East. Cost savings from 2.7 to 3.7 cents/liter (10-14 cents/gallon) were found. In contrast to the East, on the West Coast a significant part of the savings was obtained through relaxation of the current Jet A fuel specifications.

  14. Growth and yield models, assortment type and analysis of deadwood in chestnut coppice

    Directory of Open Access Journals (Sweden)

    Marziliano PA

    2013-02-01

    Full Text Available Chestnut (Castanea sativa MILL. is one of the most important forest tree species in Europe, and it is considered a symbol of the natural vegetation in southern Europe. In Calabria (southern Italy chestnut forest covers an area of approximately 87000 hectares, most of which (about 80% managed as coppice. In this study a growth and yield table has been elaborated. Thurthermore, assortment type and quantity of deadwood have been evaluated according to age of coppice and forest fire prevention, respectively. The study site is located in the “Presila of Catanzaro” and the research was carried out in 15 plots; the age of the examined stands ranged from 2 to 50 years old. More than 30000 shoots per hectare were recorded in the first two years after coppicing. As opposed, about 2300 and 1000 shoots per hectare were observed 15 and 50 years after coppicing, respectively. The culmination of the mean annual increment of the forest standing volume (16 m3 ha-1 year-1 was highlighted 25 years after coppicing, while the current annual increment culmination (21 m3 ha-1 year-1 was observed at 15 years. Fifteen years after coppicing, most of the wood production was constituted by small dimension assortments. Twenty five years after coppicing small and large poles were the prevailing assortments while telegraph poles and timber beams increased after 50 years. The amount of deadwood in forest ranged between 11.9 and 68.7 m3 ha-1. The largest component was represented by standing dead shoots. The results show that coppice management can be adopted even if the main purpose of the chestnut stand is the production of large size assortments. In chestnut coppice, highly vulnerable to fire, the reduction of stand density with silvicultural practices (thinning and displacement is the main way to promote the efficiency of forest and a higher strength and resiliency against forest fire.

  15. Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies

    Science.gov (United States)

    Soler, Miguel A.; de Marco, Ario; Fortuna, Sara

    2016-01-01

    Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular recognition. Their small size represents a precious advantage for rational mutagenesis based on modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate mutations by developing a simulation protocol based on all-atom molecular dynamics and whole-molecule docking. The method was tested on two sets of nanobodies characterized experimentally for their biophysical features. One set contained point mutations introduced to humanize a wild type sequence, in the second the CDRs were swapped between single-domain frameworks with Camelidae and human hallmarks. The method resulted in accurate scoring approaches to predict experimental yields and enabled to identify the structural modifications induced by mutations. This work is a promising tool for the in silico development of single-domain antibodies and opens the opportunity to customize single functional domains of larger macromolecules. PMID:27721441

  16. Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies

    Science.gov (United States)

    Soler, Miguel A.; De Marco, Ario; Fortuna, Sara

    2016-10-01

    Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular recognition. Their small size represents a precious advantage for rational mutagenesis based on modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate mutations by developing a simulation protocol based on all-atom molecular dynamics and whole-molecule docking. The method was tested on two sets of nanobodies characterized experimentally for their biophysical features. One set contained point mutations introduced to humanize a wild type sequence, in the second the CDRs were swapped between single-domain frameworks with Camelidae and human hallmarks. The method resulted in accurate scoring approaches to predict experimental yields and enabled to identify the structural modifications induced by mutations. This work is a promising tool for the in silico development of single-domain antibodies and opens the opportunity to customize single functional domains of larger macromolecules.

  17. Metabolic engineering of the baculovirus-expression system via inverse "shotgun" genomic analysis and RNA interference (dsRNA) increases product yield and cell longevity.

    Science.gov (United States)

    Kim, Eun Jeong; Kramer, Shannon F; Hebert, Colin G; Valdes, James J; Bentley, William E

    2007-10-15

    RNA interference (RNAi) is as powerful tool for characterizing gene function in eukaryotic organisms and cultured cell lines. Its use in metabolic engineering has been limited and few reports have targeted protein expression systems to increase yield. In this work, we examine the use of in vitro synthesized double stranded RNA (dsRNA) in the baculovirus expression vector system (BEVS), using commercially relevant cultured cells (Spodoptera frugiperda, Sf-9) and larvae (Trichoplusia ni) as hosts. First, we employed an inverse "shotgun" genomic analysis to "find" an array of 16 putative insect gene targets. We then synthesized dsRNA in vitro targeting these genes and investigated the effects of injected dsRNA on larval growth, development, and product yield. Growth and development was at times stunted and in several cases, the effects were lethal. However, dsRNA targeting an acidic juvenile hormone-suppressible protein (AJHSP1), and translational elongation factor 2 (Ef-2) resulted in significantly increased yield of model product, GFP. Next, we targeted known genes, v-cath and apoptosis inducer, sf-caspase 1, in cultured Sf-9 cells. We confirm RNAi-mediated sf-caspase 1 suppression in Sf-9 cells, but not in baculovirus-infected cells, likely due to the overriding effects of inhibitor of apoptosis protein, p35. We also demonstrate suppression of v-cath in infected cells, which leads to a approximately 3-fold increase in product yield. Overall, our results support the application of RNAi in metabolic engineering, specifically for enhancing protein productivity in the baculovirus expression vector system.

  18. Heterosis and combining ability analysis for grain yield and its component traits in aerobic rice (Oryza sativa L. cultivars

    Directory of Open Access Journals (Sweden)

    S. Utharasu and C. R. Anandakumar

    2013-12-01

    Full Text Available An investigation on LxT analysis was carried out with six popular and ten improved cultures to estimate gene action, combining ability and heterosis for yield and drought tolerant traits under aerobic conditions. Both additive and non-additive gene action were found to control the expression of the traits under study. The magnitude of combining ability revealed non-additive genetic variance was higher than the additive variance for all the studied traits. Parents PMK3, RMD(R1, ARB6, ARB7, ARB8 and CB-04-801 were found to be the good combiners for drought tolerant and yield traits. The crosses RMD(R1/ARB7, PMK3/ARB8, PMK3/ARB7, ADT43/IR77080-B-34-3 and MDU5/Anjali recorded hight sca effects for grain yield. Crosses PMK3/ARB6, PMK3/ARB8, RMD(R1/ARB7 and PMK3/ARB7 performed better than the check PMK 3 for most of the traits and showed significance for all the three types of heterosis. The crosses RMD(R1/ARB7, ADT48/ARB6, PMK3/ARB7 and MDU5/Anjali were identified as the best combinations for aerobic conditions on the basis of high mean, significant sca effects and high standard heterosis.

  19. Evaluation of fission product yields from fission spectrum n+239Pu using a meta analysis of benchmark data

    Science.gov (United States)

    Chadwick, Mark B.

    2009-10-01

    Los Alamos conducted a dual fission-chamber experiment in the 1970s in the Bigten critical assembly to determine fission product data in a fast (fission neutron spectrum) environment, and this defined the Laboratory's fission basis today. We describe how the data from this experiment are consistent with other benchmark fission product yield measurements for 95,97Zr, 140Ba, 143,144Ce, 137Cs from the NIST-led ILRR fission chamber experiments, and from Maeck's mass-spectrometry data. We perform a new evaluation of the fission product yields that is planned for ENDF/B-VII.1. Because the measurement database for some of the FPs is small—especially for 147Nd and 99Mo—we use a meta-analysis that incorporates insights from other accurately-measured benchmark FP data. The %-relative changes compared to ENDF/B-VI are small for some FPs (less than 1% for 95Zr, 140Ba, 144Ce), but are larger for 99Mo (3%) and 147Nd (5%). We suggest an incident neutron energy dependence to the 147Nd fission product yield that accounts for observed differences in the FPY at a few-hundred keV average energy in fast reactors versus measurements made at higher average energies.

  20. Latent Class Analysis of Peer Conformity: Who Is Yielding to Pressure and Why?

    Science.gov (United States)

    Kosten, Paul A.; Scheier, Lawrence M.; Grenard, Jerry L.

    2013-01-01

    This study used latent class analysis to examine typologies of peer conformity in a community sample of middle school students. Students responded to 31 items assessing diverse facets of conformity dispositions. The most parsimonious model produced three qualitatively distinct classes that differed on the basis of conformity to recreational…

  1. Uncertainty modelling and analysis of environmental systems: a river sediment yield example

    NARCIS (Netherlands)

    Keesman, K.J.; Koskela, J.; Guillaume, J.H.; Norton, J.P.; Croke, B.; Jakeman, A.

    2011-01-01

    Abstract: Throughout the last decades uncertainty analysis has become an essential part of environmental model building (e.g. Beck 1987; Refsgaard et al., 2007). The objective of the paper is to introduce stochastic and setmembership uncertainty modelling concepts, which basically differ in the assu

  2. Latent Class Analysis of Peer Conformity: Who Is Yielding to Pressure and Why?

    Science.gov (United States)

    Kosten, Paul A.; Scheier, Lawrence M.; Grenard, Jerry L.

    2013-01-01

    This study used latent class analysis to examine typologies of peer conformity in a community sample of middle school students. Students responded to 31 items assessing diverse facets of conformity dispositions. The most parsimonious model produced three qualitatively distinct classes that differed on the basis of conformity to recreational…

  3. Attitude Exploration Using Factor Analysis Technique

    Directory of Open Access Journals (Sweden)

    Monika Raghuvanshi

    2016-12-01

    Full Text Available Attitude is a psychological variable that contains positive or negative evaluation about people or an environment. The growing generation possesses learning skills, so if positive attitude is inculcated at the right age, it might therefore become habitual. Students in the age group 14-20 years from the city of Bikaner, India, are the target population for this study. An inventory of 30Likert-type scale statements was prepared in order to measure attitude towards the environment and matters related to conservation. The primary data is collected though a structured questionnaire, using cluster sampling technique and analyzed using the IBM SPSS 23 statistical tool. Factor analysis is used to reduce 30 variables to a smaller number of more identifiable groups of variables. Results show that students “need more regulation and voluntary participation to protect the environment”, “need conservation of water and electricity”, “are concerned for undue wastage of water”, “need visible actions to protect the environment”, “need strengthening of the public transport system”, “are a little bit ignorant about the consequences of global warming”, “want prevention of water pollution by industries”, “need changing of personal habits to protect the environment”, and “don’t have firsthand experience of global warming”. Analysis revealed that nine factors obtained could explain about 58.5% variance in the attitude of secondary school students towards the environment in the city of Bikaner, India. The remaining 39.6% variance is attributed to other elements not explained by this analysis. A global campaign for improvement in attitude about environmental issues and its utility in daily lives may boost positive youth attitudes, potentially impacting worldwide. A cross-disciplinary approach may be developed by teaching along with other related disciplines such as science, economics, and social studies etc.

  4. Analysis of Yield of Eleutherosides B and E in Acanthopanax divaricatus and A. koreanum Grown with Varying Cultivation Methods

    OpenAIRE

    Jeong Min Lee; Myoung-Hee Lee; Suk-Bok Pae; Ki-Won Oh; Chan-Sik Jung; In-Youl Baek; Sanghyun Lee

    2014-01-01

    An analysis of the yield of eleutherosides B and E in Acanthopanax divaricatus and A. koreanum was performed using high performance liquid chromatography to evaluate production by different cultivation methods. In A. divaricatus and A. koreanum, the total content of eleutherosides B and E was 2.466–7.360 mg/g varying by plant section, 3.886–11.506 mg/g by pinching site, 3.655–10.083 mg/g by planting time, and 3.652–10.108 mg/g by fertilizer ratio. Thus the total content of eleutherosides B an...

  5. Factorized molecular wave functions: Analysis of the nuclear factor

    Energy Technology Data Exchange (ETDEWEB)

    Lefebvre, R., E-mail: roland.lefebvre@u-psud.fr [Institut des Sciences Moléculaires d’ Orsay, Bâtiment 350, UMR8214, CNRS- Université. Paris-Sud, 91405 Orsay, France and Sorbonne Universités, UPMC Univ Paris 06, UFR925, F-75005 Paris (France)

    2015-06-07

    The exact factorization of molecular wave functions leads to nuclear factors which should be nodeless functions. We reconsider the case of vibrational perturbations in a diatomic species, a situation usually treated by combining Born-Oppenheimer products. It was shown [R. Lefebvre, J. Chem. Phys. 142, 074106 (2015)] that it is possible to derive, from the solutions of coupled equations, the form of the factorized function. By increasing artificially the interstate coupling in the usual approach, the adiabatic regime can be reached, whereby the wave function can be reduced to a single product. The nuclear factor of this product is determined by the lowest of the two potentials obtained by diagonalization of the potential matrix. By comparison with the nuclear wave function of the factorized scheme, it is shown that by a simple rectification, an agreement is obtained between the modified nodeless function and that of the adiabatic scheme.

  6. Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.).

    Science.gov (United States)

    Gu, Riliang; Chen, Fanjun; Liu, Bingran; Wang, Xin; Liu, Jianchao; Li, Pengcheng; Pan, Qingchun; Pace, Jordon; Soomro, Ayaz-Ali; Lübberstedt, Thomas; Mi, Guohua; Yuan, Lixing

    2015-09-01

    Understanding the correlations of seven minerals for concentration, content and yield in maize grain, and exploring their genetic basis will help breeders to develop high grain quality maize. Biofortification by enhanced mineral accumulation in grain through genetic improvement is an efficient way to solve global nutrient malnutrition, in which one key step is to detect the underlying quantitative trait loci (QTL). Herein, a maize recombinant inbred population (RIL) was field grown to maturity across four environments (two locations × two years). Phenotypic data for grain mineral concentration, content and yield were determined for copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), magnesium (Mg), potassium (K) and phosphorus (P). Significant effects of genotype, location and year were observed for all investigated traits. The strongest location effects were found for Zn accumulation traits probably due to distinct soil Zn availabilities across locations. Heritability (H (2)) of different traits varied with higher H (2) (72-85 %) for mineral concentration and content, and lower (48-63 %) for mineral yield. Significant positive correlations for grain concentration were revealed between several minerals. QTL analysis revealed 28, 25, and 12 QTL for mineral concentration, content and yield, respectively; and identified 8 stable QTL across at least two environments. All these QTL were assigned into 12 distinct QTL clusters. A cluster at chromosome Bin 6.07/6.08 contained 6 QTL for kernel weight, mineral concentration (Mg) and content (Zn, K, Mg, P). Another cluster at Bin 4.05/4.06 contained a stable QTL for Mn concentration, which were previously identified in other maize and rice RIL populations. These results highlighted the phenotypic and genetic performance of grain mineral accumulation, and revealed two promising chromosomal regions for genetic improvement of grain biofortification in maize.

  7. Yield of new versus reused endobronchial ultrasound-guided transbronchial needle aspiration needles: A retrospective analysis of 500 patients

    Directory of Open Access Journals (Sweden)

    Sahajal Dhooria

    2016-01-01

    Full Text Available Background: Endobronchial ultrasound (EBUS-guided transbronchial needle aspiration (TBNA requires a dedicated needle for aspiration of mediastinal lesions. There is no data on reuse of these needles. Methods: This is a retrospective study of patients who underwent EBUS-TBNA with either new or reused EBUS-TBNA needles. The needles were reused after thorough cleaning with filtered water and organic cleaning solution, disinfection with 2.4% glutaraldehyde solution followed by ethylene oxide sterilization. The yield of EBUS-TBNA was compared between the two groups. Results: A total of 500 EBUS-TBNA procedures (351 new, 149 reused needles were performed. The baseline characteristics were different in the two groups with suspected granulomatous disorders (sarcoidosis or tuberculosis being significantly more common in the new compared to the reused needle group. Similarly, the median, interquartile range number of lymph node stations sampled, and the total number of passes were significantly higher in the new versus the reused needle group. The diagnostic yield was significantly higher with new needle as compared to reused needle (65.2% vs. 53.7%, P = 0.02. On multivariate logistic regression analysis, clinical suspicion of granulomatous disorders (odds ratio 1.86 [95% confidence interval, 1.20-2.87], P = 0.005 was the only predictor of diagnostic yield, after adjusting for the type of needle (new or reused, total number of passes and the number of lymph node stations sampled. No case of mediastinitis was encountered in either group. Conclusions: The yield of EBUS-TBNA might be similar with single reuse of needles as compared to new needles. However, reuse of needle should be performed only when absolutely necessary.

  8. Correspondence factor analysis of steroid libraries.

    Science.gov (United States)

    Ojasoo, T; Raynaud, J P; Doré, J C

    1995-06-01

    The receptor binding of a library of 187 steroids to five steroid hormone receptors (estrogen, progestin, androgen, mineralocorticoid, and glucocorticoid) has been analyzed by correspondence factor analysis (CFA) in order to illustrate how the method could be used to derive structure-activity-relationships from much larger libraries. CFA is a cartographic multivariate technique that provides objective distribution maps of the data after reduction and filtering of redundant information and noise. The key to the analysis of very complex data tables is the formation of barycenters (steroids with one or more common structural fragments) that can be introduced into CFA analyses used as mathematical models. This is possible in CFA because the method uses X2-metrics and is based on the distributional equivalence of the rows and columns of the transformed data matrix. We have thus demonstrated, in purely objective statistical terms, the general conclusions on the specificity of various functional and other groups derived from prior analyses by expert intuition and reasoning. A finer analysis was made of a series of A-ring phenols showing the high degree of glucocorticoid receptor and progesterone receptor binding that can be generated by certain C-11-substitutions despite the presence of the phenolic A-ring characteristic of estrogen receptor-specific binding.

  9. Plant nuclear factor Y (NF-Y) B subunits confer drought tolerance and lead to improved corn yields on water-limited acres.

    Science.gov (United States)

    Nelson, Donald E; Repetti, Peter P; Adams, Tom R; Creelman, Robert A; Wu, Jingrui; Warner, David C; Anstrom, Don C; Bensen, Robert J; Castiglioni, Paolo P; Donnarummo, Meghan G; Hinchey, Brendan S; Kumimoto, Roderick W; Maszle, Don R; Canales, Roger D; Krolikowski, Katherine A; Dotson, Stanton B; Gutterson, Neal; Ratcliffe, Oliver J; Heard, Jacqueline E

    2007-10-16

    Commercially improved crop performance under drought conditions has been challenging because of the complexity of the trait and the multitude of factors that influence yield. Here we report the results of a functional genomics approach that identified a transcription factor from the nuclear factor Y (NF-Y) family, AtNF-YB1, which acts through a previously undescribed mechanism to confer improved performance in Arabidopsis under drought conditions. An orthologous maize transcription factor, ZmNF-YB2, is shown to have an equivalent activity. Under water-limited conditions, transgenic maize plants with increased ZmNF-YB2 expression show tolerance to drought based on the responses of a number of stress-related parameters, including chlorophyll content, stomatal conductance, leaf temperature, reduced wilting, and maintenance of photosynthesis. These stress adaptations contribute to a grain yield advantage to maize under water-limited environments. The application of this technology has the potential to significantly impact maize production systems that experience drought.

  10. Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis

    Directory of Open Access Journals (Sweden)

    McGuire Abigail

    2012-03-01

    Full Text Available Abstract Background The sequence of the pathogen Mycobacterium tuberculosis (Mtb strain H37Rv has been available for over a decade, but the biology of the pathogen remains poorly understood. Genome sequences from other Mtb strains and closely related bacteria present an opportunity to apply the power of comparative genomics to understand the evolution of Mtb pathogenesis. We conducted a comparative analysis using 31 genomes from the Tuberculosis Database (TBDB.org, including 8 strains of Mtb and M. bovis, 11 additional Mycobacteria, 4 Corynebacteria, 2 Streptomyces, Rhodococcus jostii RHA1, Nocardia farcinia, Acidothermus cellulolyticus, Rhodobacter sphaeroides, Propionibacterium acnes, and Bifidobacterium longum. Results Our results highlight the functional importance of lipid metabolism and its regulation, and reveal variation between the evolutionary profiles of genes implicated in saturated and unsaturated fatty acid metabolism. It also suggests that DNA repair and molybdopterin cofactors are important in pathogenic Mycobacteria. By analyzing sequence conservation and gene expression data, we identify nearly 400 conserved noncoding regions. These include 37 predicted promoter regulatory motifs, of which 14 correspond to previously validated motifs, as well as 50 potential noncoding RNAs, of which we experimentally confirm the expression of four. Conclusions Our analysis of protein evolution highlights gene families that are associated with the adaptation of environmental Mycobacteria to obligate pathogenesis. These families include fatty acid metabolism, DNA repair, and molybdopterin biosynthesis. Our analysis reinforces recent findings suggesting that small noncoding RNAs are more common in Mycobacteria than previously expected. Our data provide a foundation for understanding the genome and biology of Mtb in a comparative context, and are available online and through TBDB.org.

  11. Factorial invariance in multilevel confirmatory factor analysis.

    Science.gov (United States)

    Ryu, Ehri

    2014-02-01

    This paper presents a procedure to test factorial invariance in multilevel confirmatory factor analysis. When the group membership is at level 2, multilevel factorial invariance can be tested by a simple extension of the standard procedure. However level-1 group membership raises problems which cannot be appropriately handled by the standard procedure, because the dependency between members of different level-1 groups is not appropriately taken into account. The procedure presented in this article provides a solution to this problem. This paper also shows Muthén's maximum likelihood (MUML) estimation for testing multilevel factorial invariance across level-1 groups as a viable alternative to maximum likelihood estimation. Testing multilevel factorial invariance across level-2 groups and testing multilevel factorial invariance across level-1 groups are illustrated using empirical examples. SAS macro and Mplus syntax are provided.

  12. Physiological Factors Analysis in Unpressurized Aircraft Cabins

    Science.gov (United States)

    Patrao, Luis; Zorro, Sara; Silva, Jorge

    2016-11-01

    Amateur and sports flight is an activity with growing numbers worldwide. However, the main cause of flight incidents and accidents is increasingly pilot error, for a number of reasons. Fatigue, sleep issues and hypoxia, among many others, are some that can be avoided, or, at least, mitigated. This article describes the analysis of psychological and physiological parameters during flight in unpressurized aircraft cabins. It relates cerebral oximetry and heart rate with altitude, as well as with flight phase. The study of those parameters might give clues on which variations represent a warning sign to the pilot, thus preventing incidents and accidents due to human factors. Results show that both cerebral oximetry and heart rate change along the flight and altitude in the alert pilot. The impaired pilot might not reveal these variations and, if this is detected, he can be warned in time.

  13. Genetic analysis reveals demographic fragmentation of grizzly bears yielding vulnerably small populations.

    Science.gov (United States)

    Proctor, Michael F; McLellan, Bruce N; Strobeck, Curtis; Barclay, Robert M R

    2005-11-22

    Ecosystem conservation requires the presence of native carnivores, yet in North America, the distributions of many larger carnivores have contracted. Large carnivores live at low densities and require large areas to thrive at the population level. Therefore, if human-dominated landscapes fragment remaining carnivore populations, small and demographically vulnerable populations may result. Grizzly bear range contraction in the conterminous USA has left four fragmented populations, three of which remain along the Canada-USA border. A tenet of grizzly bear conservation is that the viability of these populations requires demographic linkage (i.e. inter-population movement of both sexes) to Canadian bears. Using individual-based genetic analysis, our results suggest this demographic connection has been severed across their entire range in southern Canada by a highway and associated settlements, limiting female and reducing male movement. Two resulting populations are vulnerably small (bear populations may be more threatened than previously thought and that conservation efforts must expand to include international connectivity management. They also demonstrate the ability of genetic analysis to detect gender-specific demographic population fragmentation in recently disturbed systems, a traditionally intractable yet increasingly important ecological measurement worldwide.

  14. Pyrolysis of hazelnut shells in a fixed-bed tubular reactor. Yields and structural analysis of bio-oil

    Energy Technology Data Exchange (ETDEWEB)

    Puetuen, A.E.; Oezcan, A.; Puetuen, E. [Department of Chemical Engineering, Faculty of Engineering and Architecture, Yunusemre Campus, Anadolu University, 26470 Eskisehir (Turkey)

    1999-09-01

    Fixed-bed pyrolysis experiments have been conducted on a sample of hazelnut shells to determine the possibility of being a potential source of renewable fuels and chemical feedstocks. The effects of pyrolysis temperature and well-sweep gas atmosphere (N{sub 2}) on the pyrolysis yields and chemical compositions have been investigated. The maximum bio-oil yield of 23.1 wt.% was obtained in N{sub 2} atmosphere at a pyrolysis temperature of 500C and heating rate of 7 K min{sup -1}. The pyrolysis products were characterised by elemental analysis and various chromatographic and spectroscopic techniques and also compared with currently utilised transport fuels by simulated distillation. Bio-oil was then fractionated into pentane soluble and insoluble compounds (asphaltenes). Pentane soluble was then solvent fractionated into pentane, toluene, ether and methanol subfractions by fractionated column chromatography. The aliphatic and low-molecular-weight aromatic subfractions of the bio-oil were then analyzed by capillary column gas-liquid chromatography and GC/MS. Further structural analysis of bio-oil and aromatic and polar subfractions FTIR and {sup 1}H-NMR spectra were obtained. The chemical characterization has shown that the bio-oil obtained from hazelnut shells was quite similar to the crude oil and shale oil

  15. Practical Considerations for Using Exploratory Factor Analysis in Educational Research

    Science.gov (United States)

    Beavers, Amy S.; Lounsbury, John W.; Richards, Jennifer K.; Huck, Schuyler W.; Skolits, Gary J.; Esquivel, Shelley L.

    2013-01-01

    The uses and methodology of factor analysis are widely debated and discussed, especially the issues of rotational use, methods of confirmatory factor analysis, and adequate sample size. The variety of perspectives and often conflicting opinions can lead to confusion among researchers about best practices for using factor analysis. The focus of the…

  16. A Meta-Analysis of Impact of Anaerobic Soil Disinfestation on Pest Suppression and Yield of Horticultural Crops

    Directory of Open Access Journals (Sweden)

    Utsala Shrestha

    2016-08-01

    Full Text Available Anaerobic soil disinfestation (ASD is a proven but relatively new strategy to control soil borne pests of horticultural crops through anaerobic decomposition of organic soil amendments. The ASD technique has primarily been used to control soil borne pathogens; however, this technique has also shown potential to control plant parasitic nematodes and weeds. ASD can utilize a broad range of carbon (C amendments and optimization may improve efficacy across environments. In this context, a meta-analysis using a random-effects model was conducted to determine effect sizes of the ASD effect on soil borne pathogens (533 studies, plant parasitic nematodes (91 studies, and weeds (88 studies compared with unamended controls. Yield response to ASD was evaluated (123 studies compared to unamended and fumigated controls. We also examined moderator variables for environmental conditions and amendments to explore the impact of these moderators on ASD effectiveness on pests and yield. Across all pathogen types with the exception of Sclerotinia spp., ASD studies show suppression of bacterial, oomycete and fungal pathogens (59% to 86%. Pathogen suppression was effective under all environmental conditions (50% to 94% and amendment types (53% to 98%, except when amendments applied at rates less than 0.3 kg m-2. The ASD effect ranged from 15% to 56% for nematode suppression and 32% to 81% for weed suppression, but these differences were not significant. Significant nematode moderators included study type, soil type, sampling depth, incubation period, and use of mixed amendments. Weed suppression due to ASD showed significant heterogeneity for all environmental conditions, confirming that these studies do not share a common effect size. Total crop yield was not reduced by ASD when compared to a fumigant control and yield was significantly higher (30% compared to an unamended control, suggesting ASD as a feasible option to maintain yield without chemical soil fumigants

  17. A Meta-Analysis of the Impact of Anaerobic Soil Disinfestation on Pest Suppression and Yield of Horticultural Crops.

    Science.gov (United States)

    Shrestha, Utsala; Augé, Robert M; Butler, David M

    2016-01-01

    Anaerobic soil disinfestation (ASD) is a proven but relatively new strategy to control soil borne pests of horticultural crops through anaerobic decomposition of organic soil amendments. The ASD technique has primarily been used to control soil borne pathogens; however, this technique has also shown potential to control plant parasitic nematodes and weeds. ASD can utilize a broad range of carbon (C) amendments and optimization may improve efficacy across environments. In this context, a meta-analysis using a random-effects model was conducted to determine effect sizes of the ASD effect on soil borne pathogens (533 studies), plant parasitic nematodes (91 studies), and weeds (88 studies) compared with unamended controls. Yield response to ASD was evaluated (123 studies) compared to unamended and fumigated controls. We also examined moderator variables for environmental conditions and amendments to explore the impact of these moderators on ASD effectiveness on pests and yield. Across all pathogen types with the exception of Sclerotinia spp., ASD studies show suppression of bacterial, oomycete and fungal pathogens (59 to 94%). Pathogen suppression was effective under all environmental conditions (50 to 94%) and amendment types (53 to 97%), except when amendments were applied at rates less than 0.3 kg m(-2). The ASD effect ranged from 15 to 56% for nematode suppression and 32 to 81% for weed suppression, but these differences were not significant. Significant nematode moderators included study type, soil type, sampling depth, incubation period, and use of mixed amendments. Weed suppression due to ASD showed significant heterogeneity for all environmental conditions, confirming that these studies do not share a common effect size. Total crop yield was not reduced by ASD when compared to a fumigant control and yield was significantly higher (30%) compared to an unamended control, suggesting ASD as a feasible option to maintain yield without chemical soil fumigants. We

  18. Nitrous oxide emissions from soils amended by cover-crops and under plastic film mulching: Fluxes, emission factors and yield-scaled emissions

    Science.gov (United States)

    Kim, Gil Won; Das, Suvendu; Hwang, Hyun Young; Kim, Pil Joo

    2017-03-01

    Assessment of nitrous oxide (N2O) emission factor (EF) for N2O emission inventory from arable crops fertilized with different nitrogen sources are under increased scrutiny because of discrepancies between the default IPCC EFs and low EFs reported by many researchers. Mixing ratio of leguminous and non-leguminous cover crop residues incorporation and plastic film mulching (PFM) in upland soil has been recommended as a vital agronomic practice to enhance yield and soil quality. However, how these practices together affect N2O emissions, yield-scaled emissions and the EFs remain uncertain. Field experiments spanning two consecutive years were conducted to evaluate the effects of PFM on N2O emissions, yield-scaled emissions and the seasonal EFs in cover crop residues amended soil during maize cultivation. The mixture of barley (Hordeum vulgare) and hairy vetch (Vicia villosa) seeds with 75% recommended dose (RD 140 kg ha-1) and 25% recommended dose (RD 90 kg ha-1), respectively, were broadcasted during the fallow period and 0, 25, 50 and 100% of the total aboveground harvested biomass that correspond to 0, 76, 152 and 304 kg N ha-1 were incorporated before maize transplanting. It was found that the mean seasonal EFs from cover crop residues amended soil under No-mulching (NM) and PFM were 1.13% (ranging from 0.81 to 1.23%) and 1.49% (ranging from 1.02 to 1.63%), respectively, which are comparable to the IPCC (2006) default EF (1%) for emission inventories of N2O from crop residues. The emission fluxes were greatly influenced by NH4+sbnd N, NO3--N, DOC and DON contents of soil. The cumulative N2O emissions markedly increased with the increase in cover crop residues application rates and it was more prominent under PFM than under NM. However, the yield-scaled emissions markedly decreased under PFM compared to NM due to the improved yield. With relatively low yield-scaled N2O emissions, 25% biomass mixing ratio of barley and hairy vetch (76 kg N ha-1) under PFM could be

  19. Transcriptomic Analysis of Multipurpose Timber Yielding Tree Neolamarckia cadamba during Xylogenesis Using RNA-Seq.

    Directory of Open Access Journals (Sweden)

    Kunxi Ouyang

    Full Text Available Neolamarckia cadamba is a fast-growing tropical hardwood tree that is used extensively for plywood and pulp production, light furniture fabrication, building materials, and as a raw material for the preparation of certain indigenous medicines. Lack of genomic resources hampers progress in the molecular breeding and genetic improvement of this multipurpose tree species. In this study, transcriptome profiling of differentiating stems was performed to understand N. cadamba xylogenesis. The N. cadamba transcriptome was sequenced using Illumina paired-end sequencing technology. This generated 42.49 G of raw data that was then de novo assembled into 55,432 UniGenes with a mean length of 803.2bp. Approximately 47.8% of the UniGenes (26,487 were annotated against publically available protein databases, among which 21,699 and 7,754 UniGenes were assigned to Gene Ontology categories (GO and Clusters of Orthologous Groups (COG, respectively. 5,589 UniGenes could be mapped onto 116 pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG pathway database. Among 6,202 UniGenes exhibiting differential expression during xylogenesis, 1,634 showed significantly higher levels of expression in the basal and middle stem segments compared to the apical stem segment. These genes included NAC and MYB transcription factors related to secondary cell wall biosynthesis, genes related to most metabolic steps of lignin biosynthesis, and CesA genes involved in cellulose biosynthesis. This study lays the foundation for further screening of key genes associated with xylogenesis in N. cadamba as well as enhancing our understanding of the mechanism of xylogenesis in fast-growing trees.

  20. A new high phenyl lactic acid-yielding Lactobacillus plantarum IMAU10124 and a comparative analysis of lactate dehydrogenase gene.

    Science.gov (United States)

    Zhang, Xiqing; Zhang, Shuli; Shi, Yan; Shen, Fadi; Wang, Haikuan

    2014-07-01

    Phenyl lactic acid (PLA) has been widely reported as a new natural antimicrobial compound. In this study, 120 Lactobacillus plantarum strains were demonstrated to produce PLA using high-performance liquid chromatography. Lactobacillus plantarum IMAU10124 was screened with a PLA yield of 0.229 g L(-1) . Compared with all previous reports, this is the highest PLA-producing lactic acid bacteria (LAB) when grown in MRS broth without any optimizing conditions. When 3.0 g L(-1) phenyl pyruvic acid (PPA) was added to the medium as substrate, PLA production reached 2.90 g L(-1) , with the highest 96.05% conversion rate. A lowest PLA-yielding L. plantarum IMAU40105 (0.043 g L(-1) ) was also screened. It was shown that the conversion from PPA to PLA by lactic dehydrogenase (LDH) is the key factor in the improvement of PLA production by LAB. Comparing the LDH gene of two strains, four amino acid mutation sites were found in this study in the LDH of L. plantarum IMAU10124.

  1. THE METALLICITY DEPENDENCE OF THE CO {yields} H{sub 2} CONVERSION FACTOR IN z {>=} 1 STAR-FORMING GALAXIES

    Energy Technology Data Exchange (ETDEWEB)

    Genzel, R.; Tacconi, L. J.; Schreiber, N. M. Foerster; Gracia-Carpio, J.; Lutz, D.; Saintonge, A. [Max-Planck-Institut fuer extraterrestrische Physik (MPE), Giessenbachstr. 1, 85748 Garching (Germany); Combes, F. [Observatoire de Paris, LERMA, CNRS, 61 Av. de l' Observatoire, F-75014 Paris (France); Bolatto, A. [Department of Astronomy, University of Maryland, College Park, MD 20742-2421 (United States); Neri, R.; Cox, P. [IRAM, 300 Rue de la Piscine, 38406 St. Martin d' Heres, Grenoble (France); Sternberg, A. [Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978 (Israel); Cooper, M. C. [Department of Physics and Astronomy, Frederick Reines Hall, University of California, Irvine, CA 92697-4575 (United States); Bouche, N. [Department of Physics, University of California, Santa Barbara, Broida Hall, Santa Barbara, CA 93106 (United States); Bournaud, F. [Service d' Astrophysique, DAPNIA, CEA/Saclay, F-91191 Gif-sur-Yvette Cedex (France); Burkert, A. [Universitaetssternwarte der Ludwig-Maximiliansuniversitaet, Scheinerstr. 1, D-81679 Muenchen (Germany); Comerford, J. [Department of Astronomy and McDonald Observatory, 1 University Station, C1402 Austin, TX 78712-0259 (United States); Davis, M.; Newman, S. [Department of Astronomy, Campbell Hall, University of California, Berkeley, CA 94720 (United States); Garcia-Burillo, S. [Observatorio Astronomico Nacional-OAN, Apartado 1143, 28800 Alcala de Henares- Madrid (Spain); Naab, T., E-mail: genzel@mpe.mpg.de, E-mail: linda@mpe.mpg.de [Max-Planck Institut fuer Astrophysik (MPA), Karl Schwarzschildstrasse 1, D-85748 Garching (Germany); and others

    2012-02-10

    We use the first systematic samples of CO millimeter emission in z {>=} 1 'main-sequence' star-forming galaxies to study the metallicity dependence of the conversion factor {alpha}{sub CO,} from CO line luminosity to molecular gas mass. The molecular gas depletion rate inferred from the ratio of the star formation rate (SFR) to CO luminosity, is {approx}1 Gyr{sup -1} for near-solar metallicity galaxies with stellar masses above M{sub S} {approx} 10{sup 11} M{sub Sun }. In this regime, the depletion rate does not vary more than a factor of two to three as a function of molecular gas surface density or redshift between z {approx} 0 and 2. Below M{sub S} the depletion rate increases rapidly with decreasing metallicity. We argue that this trend is not caused by starburst events, by changes in the physical parameters of the molecular clouds, or by the impact of the fundamental-metallicity-SFR-stellar mass relation. A more probable explanation is that the conversion factor is metallicity dependent and that star formation can occur in 'CO-dark' gas. The trend is also expected theoretically from the effect of enhanced photodissociation of CO by ultraviolet radiation at low metallicity. From the available z {approx} 0 and z {approx} 1-3 samples we constrain the slope of the log({alpha}{sub CO})-log (metallicity) relation to range between -1 and -2, fairly insensitive to the assumed slope of the gas-SFR relation. Because of the lower metallicities near the peak of the galaxy formation activity at z {approx} 1-2 compared to z {approx} 0, we suggest that molecular gas masses estimated from CO luminosities have to be substantially corrected upward for galaxies below M{sub S}.

  2. Genome-wide analysis of esophageal adenocarcinoma yields specific copy number aberrations that correlate with prognosis.

    Science.gov (United States)

    Frankel, Adam; Armour, Nicola; Nancarrow, Derek; Krause, Lutz; Hayward, Nicholas; Lampe, Guy; Smithers, B Mark; Barbour, Andrew

    2014-04-01

    The incidence of esophageal adenocarcinoma (EAC) has been increasing rapidly for the past 3 decades in Western (Caucasian) populations. Curative treatment is based around esophagectomy, which has a major impact on quality of life. For those suitable for treatment with curative intent, 5-year survival is ∼30%. More accurate prognostic tools are therefore needed, and copy number aberrations (CNAs) may offer the ability to act as prospective biomarkers in this regard. We performed a genome-wide examination of CNAs in 54 samples of EAC using single-nucleotide polymorphism (SNP) arrays. Our aims were to describe frequent regions of CNA, to define driver CNAs, and to identify CNAs that correlated with survival. Regions of frequent amplification included oncogenes such as EGFR, MYC, KLF12, and ERBB2, while frequently deleted regions included tumor suppressor genes such as CDKN2A/B, PTPRD, FHIT, and SMAD4. The genomic identification of significant targets in cancer (GISTIC) algorithm identified 24 regions of gain and 28 regions of loss that were likely to contain driver changes. We discovered 61 genes in five regions that, when stratified by CNA type (gain or loss), correlated with a statistically significant difference in survival. Pathway analysis of the genes residing in both the GISTIC and prognostic regions showed they were significantly enriched for cancer-related networks. Finally, we discovered that copy-neutral loss of heterozygosity is a frequent mechanism of CNA in genes currently targetable by chemotherapy, potentially leading to under-reporting of cases suitable for such treatment. Copyright © 2014 Wiley Periodicals, Inc.

  3. Stability and adaptability analysis of rice cultivars using environment-centered yield in two-way ANOVA model

    Directory of Open Access Journals (Sweden)

    D. Sumith De. Z. Abeysiriwardena

    2011-12-01

    Full Text Available Identification of rice varieties with wider adaptability and stability are the important aspects in varietal recommendation to achieve better economic benefits for farmers. Multi locational trails are conducted in different locations / seasons to test and identify the consistently performing varieties in wider environments and location specific high performing varieties. The interaction aspect of varieties with environment is complex and highly variable across locations. Thus, the identifying varieties under these circumstances are difficult for varietal recommendations. However, several methods have been proposed in the recent past with the complex computation requirements. But, the aid of statistical software and other programs capabilities ease the complexity to a large extent. In this study, we employed one of the established techniques called variance component analysis (VCA to make the varietal recommendation for wider adaptability for many varying environments and the location specific recommendations. In this method variety × environment interaction is portioned into components for individual varieties using yield deviation approach. The average effect of variety (environment centered yield deviation - Dk and the stability measure of each variety (variety interaction variance -Sk2 are used make the recommendations. The rice yield data of cultivars of three month maturity duration, cultivated across diverse environments during the 2002/03 wet–season in Sri Lanka was analyzed for making recommendations. Based on the results the variety At581 gave the highest D2ksk value with wide adaptability selected for general recommendation. Varieties Bg305 and At303 also had relatively higher Dk and thus these two can also be selected for general cultivation purpose.

  4. GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes

    Institute of Scientific and Technical Information of China (English)

    ZHANG Pan-pan; ZHENG Dian-feng; FENG Bai-li; SONG Hui; KE Xi-wang; JIN Xi-jun; YIN Li-hua; LIU Yang; QU Yang; SU Wang; FENG Nai-jie

    2016-01-01

    The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso milet genotypes and 16 locations using 7 waxy proso milet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso milets and to evaluate the discrimination and representativeness of locations by analysis of vari-ance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso milet genotypes were signiifcantly inlfuenced by environment (E), genotype (G) and their interaction (G×E) (P<0.1%). G×E inter-action effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among al the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (E10) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, E10 and e14 have enhanced efifciency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso milet varieties.

  5. Shortcomings in wheat yield predictions

    Science.gov (United States)

    Semenov, Mikhail A.; Mitchell, Rowan A. C.; Whitmore, Andrew P.; Hawkesford, Malcolm J.; Parry, Martin A. J.; Shewry, Peter R.

    2012-06-01

    Predictions of a 40-140% increase in wheat yield by 2050, reported in the UK Climate Change Risk Assessment, are based on a simplistic approach that ignores key factors affecting yields and hence are seriously misleading.

  6. Comparative QTL analysis of salinity tolerance in terms of fruit yield using two Solanum populations of F7 lines.

    Science.gov (United States)

    Villalta, I; Bernet, G P; Carbonell, E A; Asins, M J

    2007-04-01

    Salt tolerance has been analysed in two populations of F(7) lines developed from a salt sensitive genotype of Solanum lycopersicum var. cerasiforme, as female parent, and two salt tolerant lines, as male parents, from S. pimpinellifolium, the P population (142 lines), and S. cheesmaniae, the C population (116 lines). Salinity effects on 19 quantitative traits including fruit yield were investigated by correlation, principal component analysis, ANOVA and QTL analysis. A total of 153 and 124 markers were genotyped in the P and C populations, respectively. Some flowering time and salt tolerance candidate genes were included. Since most traits deviated from a normal distribution, results based on the Kruskal-Wallis non-parametric test were preferred. Interval mapping methodology and ANOVA were also used for QTL detection. Eight out of 15 QTLs at each population were detected for the target traits under both control and high salinity conditions, and among them, only average fruit weight (FW) and fruit number (FN) QTLs (fw1.1, fw2.1 and fn1.2) were detected in both populations. The individual contribution of QTLs were, in general, low. After leaf chloride concentration, flowering time is the trait most affected by salinity because different QTLs are detected and some of their QTLxE interactions have been found significant. Also reinforcing the interest on information provided by QTL analysis, it has been found that non-correlated traits may present QTL(s) that are associated with the same marker. A few salinity specific QTLs for fruit yield, not associated with detrimental effects, might be used to increase tomato salt tolerance. The beneficial allele at two of them, fw8.1 (in C) and tw8.1 (for total fruit weight in P) corresponds to the salt sensitive parent, suggesting that the effect of the genetic background is crucial to breed for wide adaptation using wild germplasm.

  7. Simulation of Sediment Yield in a Semi-Arid River Basin under Changing Land Use: An Integrated Approach of Hydrologic Modelling and Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Charles Gyamfi

    2016-11-01

    Full Text Available Intensified human activities over the past decades have culminated in the prevalence of dire environmental consequences of sediment yield resulting mainly from land use changes. Understanding the role that land use changes play in the dynamics of sediment yield would greatly enhance decision-making processes related to land use and water resources management. In this study, we investigated the impacts of land use and cover changes on sediment yield dynamics through an integrated approach of hydrologic modelling and principal component analysis (PCA. A three-phase land use scenario (2000, 2007 and 2013 employing the “fix-changing” method was used to simulate the sediment yield of the Olifants Basin. Contributions in the changes in individual land uses to sediment yield were assessed using the component and pattern matrixes of PCA. Our results indicate that sediment yield dynamics in the study area is significantly attributed to the changes in agriculture, urban and forested lands. Changes in agriculture and urban lands were directly proportional to sediment yield dynamics of the Olifants Basin. On the contrary, forested areas had a negative relationship with sediment yield indicating less sediment yield from these areas. The output of this research work provides a simplistic approach of evaluating the impacts of land use changes on sediment yield. The tools and methods used are relevant for policy directions on land and water resources planning and management.

  8. Enhanced extraction yields and mobile phase separations by solvent mixtures for the analysis of metabolites in Annona muricata L. leaves.

    Science.gov (United States)

    Ribeiro de Souza, Eloana Benassi; da Silva, Renata Reis; Afonso, Sabrina; Scarminio, Ieda Spacino

    2009-12-01

    The effects of five extraction solvents and their mixtures on the yield of metabolites in crude and fractionated extracts of Annona muricata L. leaves were investigated by direct comparison. Extraction media were prepared using simplex centroid mixtures of ethanol, ethyl acetate, dichloromethane, acetone, and chloroform. The effects of the mobile phase solvent strength and the analysis wavelength on the chromatographic separation were also investigated. Solvent mixtures rather than pure solvents were found to be the most efficient extractors for the different fractions. The results indicated that the mobile phase composed of methanol/acetonitrile/water (26:27:47 v/v/v) was most suitable for the basic fraction analysis at 254 nm, whereas the mobile phase composed of methanol/acetonitrile/water (35:35:30 v/v/v) was the most adequate for the organic fraction analysis at 254 nm. The results indicated that the chromatographic profiles and number of peaks were affected by the mobile phase strength and analysis wavelength.

  9. Analysis of two precipitation methods on the yield, structural features and activity of sulfated polysaccharides from Gracilaria cornea (Rhodophyta

    Directory of Open Access Journals (Sweden)

    Ricardo Basto Souza

    2015-03-01

    Full Text Available The global demand for natural products from seaweeds has increased worldwide; however, no description of the use of isoamly alcohol (IAA for obtaining of sulfated polysaccharides (SPs has been reported. We investigated the efficiency of two precipitation methods (M in obtaining SPs from the red seaweed Gracilaria cornea. SPs enzymatically isolated were concentrated with cetylpyridinium chloride (M I or IAA (M II and extracts were examined with regard to their yield, structural features and in vitro effects on the activated partial thromboplastin time (APTT using normal human plasma and standard heparin (193 IU mg-1. Yield difference reached 12.99%. Quantitative determination of sulfate was similar between the two methods (̴ 26%, but extracts revealed different pattern on charge density by agarose gel electrophoresis. Whereas both extracts revealed as agarocolloids, alternative M II was also efficient for lipids, proteins and nucleic acids according to the infrared analysis. Extracts had virtually no effect on APPT (1.95 and 2 IU mg-1 for M I and M II, respectively. The results revealed IAA as an alternative solvent for obtaining SPs from the red seaweed G. cornea, depending on the industry’ usage criterion.

  10. Reanalyses of the historical series of UK variety trials to quantify the contributions of genetic and environmental factors to trends and variability in yield over time.

    Science.gov (United States)

    Mackay, I; Horwell, A; Garner, J; White, J; McKee, J; Philpott, H

    2011-01-01

    Historical datasets have much to offer. We analyse data from winter wheat, spring and winter barley, oil seed rape, sugar beet and forage maize from the UK National List and Recommended List trials over the period 1948-2007. We find that since 1982, for the cereal crops and oil seed rape, at least 88% of the improvement in yield is attributable to genetic improvement, with little evidence that changes in agronomy have improved yields. In contrast, in the same time period, plant breeding and changes in agronomy have contributed almost equally to increased yields of forage maize and sugar beet. For the cereals prior to 1982, contributions from plant breeding were 42, 60 and 86% for winter barley, winter wheat and spring barley, respectively. These results demonstrate the overwhelming importance of plant breeding in increasing crop productivity in the UK. Winter wheat data are analysed in more detail to exemplify the use of historical data series to study and detect disease resistance breakdown, sensitivity of varieties to climatic factors, and also to test methods of genomic selection. We show that breakdown of disease resistance can cause biased estimates of variety and year effects, but that comparison of results between fungicide treated and untreated trials over years may be a means to screen for durable resistance. We find the greatest sensitivities of the winter wheat germplasm to seasonal differences in rainfall and temperature are to summer rainfall and winter temperature. Finally, for genomic selection, correlations between observed and predicted yield ranged from 0.17 to 0.83. The high correlation resulted from markers predicting kinship amongst lines rather than tagging multiple QTL. We believe the full value of these data will come from exploiting links with other experiments and experimental populations. However, not to exploit such valuable historical datasets is wasteful.

  11. Analysis of yield of eleutherosides B and E in Acanthopanax divaricatus and A. koreanum grown with varying cultivation methods.

    Science.gov (United States)

    Lee, Jeong Min; Lee, Myoung-Hee; Pae, Suk-Bok; Oh, Ki-Won; Jung, Chan-Sik; Baek, In-Youl; Lee, Sanghyun

    2014-01-01

    An analysis of the yield of eleutherosides B and E in Acanthopanax divaricatus and A. koreanum was performed using high performance liquid chromatography to evaluate production by different cultivation methods. In A. divaricatus and A. koreanum, the total content of eleutherosides B and E was 2.466-7.360 mg/g varying by plant section, 3.886-11.506 mg/g by pinching site, 3.655-10.083 mg/g by planting time, and 3.652-10.108 mg/g by fertilizer ratio. Thus the total content of eleutherosides B and E in A. divaricatus and A. koreanum differed depending on cultivation methods. These results present useful information for high eleutheroside content applications in A. divaricatus and A. koreanum. This information can affect selection of plant section and cultivation methods for nutraceutical, pharmaceutical, and cosmeceutical material development.

  12. Analysis of Yield of Eleutherosides B and E in Acanthopanax divaricatus and A. koreanum Grown with Varying Cultivation Methods

    Directory of Open Access Journals (Sweden)

    Jeong Min Lee

    2014-01-01

    Full Text Available An analysis of the yield of eleutherosides B and E in Acanthopanax divaricatus and A. koreanum was performed using high performance liquid chromatography to evaluate production by different cultivation methods. In A. divaricatus and A. koreanum, the total content of eleutherosides B and E was 2.466–7.360 mg/g varying by plant section, 3.886–11.506 mg/g by pinching site, 3.655–10.083 mg/g by planting time, and 3.652–10.108 mg/g by fertilizer ratio. Thus the total content of eleutherosides B and E in A. divaricatus and A. koreanum differed depending on cultivation methods. These results present useful information for high eleutheroside content applications in A. divaricatus and A. koreanum. This information can affect selection of plant section and cultivation methods for nutraceutical, pharmaceutical, and cosmeceutical material development.

  13. Housing price forecastability: A factor analysis

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther

    of the model stays high at longer horizons. The estimated factors are strongly statistically signi…cant according to a bootstrap resampling method which takes into account that the factors are estimated regressors. The simple three-factor model also contains substantial out-of-sample predictive power...

  14. A Second Generation Nonlinear Factor Analysis.

    Science.gov (United States)

    Etezadi-Amoli, Jamshid; McDonald, Roderick P.

    1983-01-01

    Nonlinear common factor models with polynomial regression functions, including interaction terms, are fitted by simultaneously estimating the factor loadings and common factor scores, using maximum likelihood and least squares methods. A Monte Carlo study gives support to a conjecture about the form of the distribution of the likelihood ratio…

  15. Algorithms for unweighted least-squares factor analysis

    NARCIS (Netherlands)

    Krijnen, WP

    Estimation of the factor model by unweighted least squares (ULS) is distribution free, yields consistent estimates, and is computationally fast if the Minimum Residuals (MinRes) algorithm is employed, MinRes algorithms produce a converging sequence of monotonically decreasing ULS function values.

  16. Vegetation response to upstream water yield in the Heihe river by time series analysis of MODIS data

    Directory of Open Access Journals (Sweden)

    L. Jia

    2010-07-01

    Full Text Available Liquid and solid precipitation is abundant in the high elevation, upper reach of the Heihe basin. The development of modern irrigation schemes in the middle reach of the basin is taking up an increasing share of fresh water resources, endangering the oasis and traditional irrigation systems in the lower reach. In this study, the response of vegetation in the Ejina Oasis in the lower reach of the Heihe River to the water yield of the upper catchment was analyzed by time series analysis of monthly observations of precipitation in the upper and lower catchment, river streamflow downstream of the modern irrigation schemes and satellite observations of vegetation index. Firstly, remote sensing data were used to monitor the vegetation dynamic for a long time period. Due to cloud-contamination, atmospheric influence and different solar angles, however, the quality and consistence of time series of remote sensing data is degraded. In this research we used a Fourier Transform method – the Harmonic Analysis of Time Series (HANTS algorithm – to reconstruct cloud-free NDVI time series data from the Terra-MODIS dataset. Anomalies in precipitation, streamflow, and vegetation index are detected by comparing each year with the average year. The relationship between the anomalies in vegetation growth, the local precipitation and upstream water yield were analyzed. The same approach is used to identify, remove and gap-filling cloud contaminated observations in the satellite data for each year in the dataset. The results showed that: the previous year total runoff had a significant relationship with the vegetation growth in Ejina Oasis and that anomalies in monthly runoff of the Heihe River influenced the phenology of vegetation in the entire oasis during drier years. The time of maximum green-up was uniform throughout the oasis during wetter years, but showed a clear S–N gradient (downstream during drier years.

  17. Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.

    Science.gov (United States)

    Horvat, Predrag; Koller, Martin; Braunegg, Gerhart

    2015-09-01

    A review of the use of elementary flux modes (EFMs) and their applications in metabolic engineering covered with yield space analysis (YSA) is presented. EFMs are an invaluable tool in mathematical modeling of biochemical processes. They are described from their inception in 1994, followed by various improvements of their computation in later years. YSA constitutes another precious tool for metabolic network modeling, and is presented in details along with EFMs in this article. The application of these techniques is discussed for several case studies of metabolic network modeling provided in respective original articles. The article is concluded by some case studies in which the application of EFMs and YSA turned out to be most useful, such as the analysis of intracellular polyhydroxyalkanoate (PHA) formation and consumption in Cupriavidus necator, including the constraint-based description of the steady-state flux cone of the strain's metabolic network, the profound analysis of a continuous five-stage bioreactor cascade for PHA production by C. necator using EFMs and, finally, the study of metabolic fluxes in the metabolic network of C. necator cultivated on glycerol.

  18. Disruptive Event Biosphere Doser Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-28

    The purpose of this report was to document the process leading to, and the results of, development of radionuclide-, exposure scenario-, and ash thickness-specific Biosphere Dose Conversion Factors (BDCFs) for the postulated postclosure extrusive igneous event (volcanic eruption) at Yucca Mountain. BDCF calculations were done for seventeen radionuclides. The selection of radionuclides included those that may be significant dose contributors during the compliance period of up to 10,000 years, as well as radionuclides of importance for up to 1 million years postclosure. The approach documented in this report takes into account human exposure during three different phases at the time of, and after, volcanic eruption. Calculations of disruptive event BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. The pathway analysis included consideration of different exposure pathway's contribution to the BDCFs. BDCFs for volcanic eruption, when combined with the concentration of radioactivity deposited by eruption on the soil surface, allow calculation of potential radiation doses to the receptor of interest. Calculation of radioactivity deposition is outside the scope of this report and so is the transport of contaminated ash from the volcano to the location of the receptor. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA), in which doses are calculated to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  19. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-21

    The purpose of this report was to document the process leading to development of the Biosphere Dose Conversion Factors (BDCFs) for the postclosure nominal performance of the potential repository at Yucca Mountain. BDCF calculations concerned twenty-four radionuclides. This selection included sixteen radionuclides that may be significant nominal performance dose contributors during the compliance period of up to 10,000 years, five additional radionuclides of importance for up to 1 million years postclosure, and three relatively short-lived radionuclides important for the human intrusion scenario. Consideration of radionuclide buildup in soil caused by previous irrigation with contaminated groundwater was taken into account in the BDCF development. The effect of climate evolution, from the current arid conditions to a wetter and cooler climate, on the BDCF values was evaluated. The analysis included consideration of different exposure pathway's contribution to the BDCFs. Calculations of nominal performance BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. BDCFs for the nominal performance, when combined with the concentrations of radionuclides in groundwater allow calculation of potential radiation doses to the receptor of interest. Calculated estimates of radionuclide concentration in groundwater result from the saturated zone modeling. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA) to calculate doses to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  20. Remote sensing and modelling of vegetation dynamics for early estimation and spatial analysis of grain yields in semiarid context in central Tunisia

    Science.gov (United States)

    Chahbi, Aicha; Zribi, Mehrez; Lili-Chabaane, Zohra

    2016-04-01

    In arid and semi-arid areas, population growth, urbanization, food security and climate change have an impact on agriculture in general and particular on the cereal production. Therefore to improve food security in arid countries, crop canopy monitoring and yield forecasting cereals are needed. Many models, based on the use of remote sensing or agro-meteorological models, have been developed to estimate the biomass and grain yield of cereals. Through the use of a rich database, acquired over a period of two years for more than 80 test fields, and from optical satellite SPOT/HRV images, the aim of the present study is to evaluate the feasibility of two yield prediction approaches. The first approach is based on the application of the semi-empirical growth model SAFY, developed to simulate the dynamics of the LAI and the grain yield, at the field scale. The model is able to reproduce the time evolution of the leaf area index of all fields with acceptable error. However, an inter-comparison between ground yield measurements and SAFY model simulations reveals that the yields are under-estimated by this model. We can explain the limits of the semi-empirical model SAFY by its simplicity and also by various factors that were not considered (fertilization, irrigation,...). To improve the yield estimation, a new approach is proposed: the grain yield is estimated in function of the LAI in the growth period between 25 March and 5 April. The LAI of this period is estimated by SAFY model. A linear relationship is developed between the measured grain yield and the LAI area of the maximum growth period.This approach is robust, the measured and estimated grain yields are well correlated. Following the validation of this approach, yield estimations are proposed for the entire studied site using the SPOT/HRV images.

  1. Pertinent spatio-temporal scale of observation to understand sediment yield control factors in the Andean Region: the case of the Santa River (Peru

    Directory of Open Access Journals (Sweden)

    S. B. Morera

    2013-01-01

    Full Text Available Hydro-sedimentology development is a great challenge in Peru due to limited data as well as sparse and confidential information. Consequently, little is known at present about the relationship between the El Niño Southern Oscillation (ENSO, precipitation, runoff, land use and the sediment transport dynamics. The aim of this paper is to bridge this gap in order to quantify and understand the signal of magnitude and frequency of the sediment fluxes from the central western Andes; also, to identify the main erosion control factor and its relevance.

    The Tablachaca River (3132 km2 and the Santa River (6815 km2, two mountainous Andean catchments that are geographically close to each other, both showed similar statistical daily rainfall and discharge variability but high contrast in sediment yield (SY. In order to investigate which factors are of importance, the continuous water discharge and hourly suspended sediment concentrations (SSC of the Santa River were studied. Firstly, the specific sediment yield (SSY at the continental Andes range scale for the Pacific side is one of the highest amounts (2204 t km2 yr−1. Secondly, no relationship between the water discharge (Q and El Niño/La Niñ a events is found over a 54 yr time period. However, the Santa Basin is highly sensitive during mega Niños (1982–1983 and 1997–1998. Lastly, dispersed micro-mining and mining activity in specific lithologies are identified as the major factors that control the high SSY. These remarks make the Peruvian coast key areas for future research on Andean sediment rates.

  2. EXPLORATORY FACTOR ANALYSIS (EFA IN CONSUMER BEHAVIOR AND MARKETING RESEARCH

    Directory of Open Access Journals (Sweden)

    Marcos Pascual Soler

    2012-06-01

    Full Text Available Exploratory Factor Analysis (EFA is one of the most widely used statistical procedures in social research. The main objective of this work is to describe the most common practices used by researchers in the consumer behavior and marketing area. Through a literature review methodology the practices of AFE in five consumer behavior and marketing journals(2000-2010 were analyzed. Then, the choices made by the researchers concerning factor model, retention criteria, rotation, factors interpretation and other relevant issues to factor analysis were analized. The results suggest that researchers routinely conduct analyses using such questionable methods. Suggestions for improving the use of factor analysis and the reporting of results are presented and a checklist (Exploratory Factor Analysis Checklist, EFAC is provided to help editors, reviewers, and authors improve reporting exploratory factor analysis.

  3. Factor analysis of serogroups botanica and aurisina of Leptospira biflexa.

    Science.gov (United States)

    Cinco, M

    1977-11-01

    Factor analysis is performed on serovars of Botanica and Aurisina serogroup of Leptospira biflexa. The results show the arrangement of main factors serovar and serogroup specific, as well as the antigens common with serovars of heterologous serogroups.

  4. An Item Factor Analysis of the Mooney Problem Check List

    Science.gov (United States)

    Stewart, David W.; Deiker, Thomas

    1976-01-01

    Explores the factor structure of the Mooney Problem Check List (MPCL) at the junior and senior high school level by undertaking a large obverse factor analysis of item responses in three adolescent criterion groups. (Author/DEP)

  5. Crop growth analysis and yield of a lignocellulosic biomass crop (Arundo donax L. in three marginal areas of Campania region

    Directory of Open Access Journals (Sweden)

    Adriana Impagliazzo

    2017-03-01

    Full Text Available The depletion of energy resources from fossil fuels and global warming have pushed to consider the agro-energy as one of the renewable energy sources for mitigation of climate change. In this context, agro-energy based on cultivation of energy crops in marginal lands allows to reduce competition with food crops and marginal lands abandonment, producing incomes for farmers. The aim of this work is to improve the knowledge on a promising crop (Arundo donax L. for the production of bio-energy in marginal lands. Therefore, the behaviour of this crop was evaluated in three study areas of Campania region, under different energy inputs: two levels of nitrogen fertilisation, N100 and N50 in Sant’Angelo dei Lombardi (SA and Bellizzi (BL. In Acerra (AC site compost fertilisation was made to verify its effect on pollutant phytoextraction. In the last year, also crop growth analysis was done in the three sites. The results showed that giant reed confirms its adaptability to low fertility soils, allowing interesting biomass yield also in marginal lands. In more fertile environments, effect of fertilisation is not significant at least in the short term. Nevertheless, nitrogen uptake (65-130 kg N ha–1, also if lower than other highyielding crops, needs to be compensated with fertilisation to avoid depletion of soil nutrient reserves and to guarantee sustainability of this cropping system. Giant reed had a positive environmental impact, due to the improvement in soil fertility (soil organic matter and nitrogen increase and to the mitigation of climate change (C storage in the soil. In marginal soils of Southern Italy this crop confirms an increasing trend of yield during the first 3-4 years. High productivity levels of this crop are related to the extremely high duration of the vegetative period and thus of the photosynthetic activity (from March to November in the Mediterranean area. These last are well expressed by the leaf area duration index, which is

  6. Full Information Item Factor Analysis of the FCI

    Science.gov (United States)

    Hagedorn, Eric

    2010-02-01

    Traditional factor analytical methods, principal factors or principal components analysis, are inappropriate techniques for analyzing dichotomously scored responses to standardized tests or concept inventories because they lead to artifactual factors often referred to as ``difficulty factors.'' Full information item factor analysis (Bock, Gibbons and Muraki, 1988) based on Thurstone's multiple factor model and calculated using marginal maximum likelihood estimation, is an appropriate technique for such analyses. Force Concept Inventory (Hestenes, Wells and Swackhamer, 1992) data from 1582 university students completing an introductory physics course, was analyzed using the full information item factor analysis software TESTFACT v. 4. Analyzing the statistical significance of successive factors added to the model, using chi-squared statistics, led to a six factor model interpretable in terms of the conceptual dimensions of the FCI. )

  7. Exploratory matrix factorization for PET image analysis.

    Science.gov (United States)

    Kodewitz, A; Keck, I R; Tomé, A M; Lang, E W

    2010-01-01

    Features are extracted from PET images employing exploratory matrix factorization techniques such as nonnegative matrix factorization (NMF). Appropriate features are fed into classifiers such as a support vector machine or a random forest tree classifier. An automatic feature extraction and classification is achieved with high classification rate which is robust and reliable and can help in an early diagnosis of Alzheimer's disease.

  8. Analysis of Factors Affecting the Quality of an E-commerce Website Using Factor Analysis

    Directory of Open Access Journals (Sweden)

    Saurabh Mishra

    2014-12-01

    Full Text Available The purpose of this study is to identify factors which affect the quality and effectiveness of an e commerce website which also majorly affect customer satisfaction and ultimately customer retention and loyalty. This research paper examines a set of 23 variables and integrates them into 4 factors which affect the quality of a website. An online questionnaire survey was conducted to generate statistics regarding the preferences of the e-commerce website users.The 23 variables taken from customer survey are generalized into 4 major factors using exploratory factor analysis which are content, navigation, services and interface design. The research majorly consists of the responses of students between the age group of 18-25 years and considers different B2C commercial websites. Identified variables are important with respect to the current competition in the market as service of an e-commerce website also play a major role in ensuring customer satisfaction. Further research in this domain can be done for websites’ version for mobile devices.

  9. Energy inputs-yield relationship and sensitivity analysis of pistachio (Pistacia vera L. production in Markazi Region of Iran

    Directory of Open Access Journals (Sweden)

    R. Keshavarz Afshar

    2013-07-01

    Full Text Available Pistachio is considered as an important agricultural commodity in Iran and ranks top amongst all exported agricultural products. Conducting an overall energy audit and economic analysis of pistachio production can provide useful information to help implement management strategies for improving energy efficiency. A study was conducted during 2009 and 2010 to evaluate the overall energy inputs and outputs and to perform an economic analysis of pistachio production in the Iranian province of Markazi. The results revealed that the total energy input for pistachio production was 54305 MJ ha-1. Electricity, followed by diesel fuel and nitrogen fertilizer application were the highest contributors to energy input in pistachio orchards. The contribution of direct energy was higher than indirect energy and share of non-renewable energy was more than renewable energy. Net energy, energy use efficiency, energy productivity and specific energy were 7522 MJ ha-1, 0.86, 0.08 kg MJ-1 and 13.69 MJ kg-1, respectively. Econometric model based on Cobb-Douglas function indicated that impacts of electricity, diesel fuel and chemical fertilizer energy inputs on pistachio yield were positive while the impact of machinery was negative. The marginal physical productivity (MPP value for diesel fuel was the highest among other variables, followed by energy inputs related to the chemicals and irrigation water. The results revealed that production of pistachios in Markazi Province, under current management practices, are not energy efficient and efforts should be made to improve energy use efficiency.

  10. Exploring Technostress: Results of a Large Sample Factor Analysis

    OpenAIRE

    Steponas Jonušauskas; Agota Giedre Raisiene

    2016-01-01

    With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ an...

  11. Effect Factors of Liquid Scintillation Analysis

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>Over the past decades, the liquid scintillation analysis (LSA) technique remains one of the most popular experimental tools used for the quantitative analysis of radionuclide, especially low-energy β

  12. Factores significativos del rendimiento excelente: PISA y otros estudios Fatores significativos no rendimento excelente: PISA e outros estudos Significant factors in the yield excellent: PISA and other studies

    Directory of Open Access Journals (Sweden)

    Carmen Jiménez Fernández

    2012-12-01

    Full Text Available Se centra en tres investigaciones sobre los alumnos con rendimiento excelente. El estudio de PISA Top of de class, que analiza los factores subyacentes al rendimiento excelente de los alumnos de 15-16 años; el estudio de una muestra de alumnos españoles que han obtenido Premio Extraordinario de Bachillerato (PEB y un tercer estudio sobre alumnos que han obtenido Beca de Excelencia (BEpara estudiar en la universidad de Madrid. Se concluye que aunque la procedencia social no es determinante, la mayor parte de los alumnos con rendimiento excelente proceden de ambientes culturalmente favorecidos si bien el centro escolar ejerce mayor influencia que la clase social; la cantidad de horas semanales que el currículo dedica a la enseñanza de las materias fundamentales y la cantidad de horas que el alumno dedica al estudio son factores importantes del rendimiento excelente; los centros con mejor rendimiento atraen más a los alumnos con rendimiento excelente y, a su vez, hay más alumnos con rendimiento excelente en los centros más elitistas; en el estudio de PISA no hay diferencias de género; en los estudios sobre alumnos con PEB y BE persisten reductos sexistas.O presente trabalho se centra em três pesquisas sobre alunos com rendimento excelente. O estudo de PISA Top of de class, que analisa os fatores subjacentes ao rendimento excelente de alunos entre 15 e16 anos; o estudo de uma amostra de alunos espanhóis que obtiveram o Premio Extraordinário de Ensino Médio e um terceiro estudo sobre alunos que obtiveram Bolsa de Excelência para estudar na Universidade de Madrid. Chega-se à conclusão que embora a procedência social não seja determinante, a maior parte dos alunos com rendimento excelente procedem de ambientes culturalmente favorecidos, ainda que o centro escolar exerce maior influência que a classe social; a quantidade de horas semanais que o currículo dedica ao ensino das disciplinas fundamentais e a quantidade de horas que o aluno

  13. Identification and mapping of genes for improving yield from Chinese common wild rice (O. Rufipogon Griff.)using advanced backcross QTL analysis

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    To identify useful genes from wild rice which have been lost or weakened in cultivated rice has become more and more important for modern breeding strategy. In this study, a BC4 population derived from 94W1, an acces-sion of common wild rice (Oryza rufipogon Griff.) from Dongxiang in Jiangxi Province of China, as the donor, and a high-yielding Indica cultivar (O. sativa L.), "Guichao 2", as the recipient, was used to identify quantitative trait loci (QTL) associated with yield and its components. Based on the analysis for the genotype of BC4F1 population with 87 SSR markers distributed throughout the genome and investigation of the plant height, yield and yield components of BC4F2, a total of 52 QTLs, were detected. Of 7 QTLs associated with grain yield per plant, 2 QTLs on chro-mosome 2 and chromosome 11 for grain yield, explaining 16% and 11% of the phenotypic variance respectively, were identified. The alleles from Dongxiang common wild rice in those two loci could increase the yield of "Guichao 2" by 25.9% and 23.2% respectively. The QTL on chromosome 2 increasing grain yield of cultivar is actually a major gene, which did not coincide with any previously published QTLs in rice.

  14. Fertilization for High Yields in Corn-Sweet Potato-Wheat Rotation: A Systematic Approach to Nutrient Limiting Factors of Soils in Chongqing, China

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A systematic approach was adopted to investigate the nutrient limiting factors in gray-brown purple soils and yellow soils derived from limestone in Chongqing, China, to study balanced fertilization for corn, sweet potato and wheat in rotation. The results showed that N, P and K were deficient in both soils, Cu, Mn, S andZn in the gray-brown purple soils and Ca, Mg, Mo and Zn for the yellow soils. Balanced fertilizer application increased yields of corn, sweet potato and wheat by 28.4%, 28.7% and 4.4%, respectively, as compared to the local farmers' practice. The systematic approach can be considered as one of the most efficient and reliable methods in fertility study.

  15. A multi-model analysis of change in potential yield of major crops in China under climate change

    Science.gov (United States)

    Yin, Y.; Tang, Q.; Liu, X.

    2015-02-01

    Climate change may affect crop growth and yield, which consequently casts a shadow of doubt over China's food self-sufficiency efforts. In this study, we used the projections derived from four global gridded crop models (GGCropMs) to assess the effects of future climate change on the yields of the major crops (i.e., maize, rice, soybean and wheat) in China. The GGCropMs were forced with the bias-corrected climate data from five global climate models (GCMs) under Representative Concentration Pathway (RCP) 8.5, which were made available through the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP). The results show that the potential yields of the crops would decrease in the 21st century without carbon dioxide (CO2) fertilization effect. With the CO2 effect, the potential yields of rice and soybean would increase, while the potential yields of maize and wheat would decrease. The uncertainty in yields resulting from the GGCropMs is larger than the uncertainty derived from GCMs in the greater part of China. Climate change may benefit rice and soybean yields in high-altitude and cold regions which are not in the current main agricultural area. However, the potential yields of maize, soybean and wheat may decrease in the major food production area. Development of new agronomic management strategies may be useful for coping with climate change in the areas with a high risk of yield reduction.

  16. Genotypic Variability of the Components and their Effects on the Rice Yield: Correlation and Path Analysis Study

    Directory of Open Access Journals (Sweden)

    Sharkhawat Hossain

    2008-06-01

    Full Text Available Twenty modern Boro rice varieties were evaluated with a view to find variability and genetic association for grain yield and yield components characters. Genotypic and Phenotypic correlation among these characters were computed. Both genotypic and phenotypic correlation coefficients were significant between plant height and number of effective tillers per plant followed by panicle length. There was a positive significant correlation between yield and number of effective tillers per plant followed by percent filled grain per panicle. Path coefficient showed that number of effective tiller per plant and plant height are the characters that contribute largely to grain yield.

  17. 短期融资券收益率影响因素研究%Factors Influencing Yields of Short-Term Financing Bonds

    Institute of Scientific and Technical Information of China (English)

    郑佳铭; 范龙振

    2011-01-01

    The short-term financing bonds require no collateral, or guarantee from other companies or banks, and many companies choose to issue them for financing. They are representative of marketable bonds or notes with credit risk in China. Thus, their market behavior has important meaning for the development of bonds with credit risk, especially of the corporate bonds. This paper makes a research into the factors that have influence on yields of the short-term financing bonds. The result shows that, no matter in primary or secondary market, issuers' credit rating which represents credit risk, ask-bid spread which represents liquidity risk, along with the industry and macro-systematic factors, all have significant effect on the bonds' yields; there exists liquidity expectation in primary market, which means that those which have better liquidity characteristic in the secondary market have lower issuing yield in the primary market.%短期融资券不需要担保,发行数量多,是我国市场化的具有信用风险的债券,其市场表现对我国信用债券特别是公司债的发展具有启示意义.主要讨论短期融资券收益率的影响因素.研究结果显示,无论在发行或交易市场,以主体评级指标为代表的信用风险因素、以买卖价差为代表的流动性因素、行业因素以及宏观系统因素对融资券收益率影响显著;发行定价中存在流动性预期,即预期在二级市场流动性好的债券在一级市场具有更低的收益率.

  18. FACTOR ANALYSIS OF THE ELKINS HYPNOTIZABILITY SCALE

    Science.gov (United States)

    Elkins, Gary; Johnson, Aimee K.; Johnson, Alisa J.; Sliwinski, Jim

    2015-01-01

    Assessment of hypnotizability can provide important information for hypnosis research and practice. The Elkins Hypnotizability Scale (EHS) consists of 12 items and was developed to provide a time-efficient measure for use in both clinical and laboratory settings. The EHS has been shown to be a reliable measure with support for convergent validity with the Stanford Hypnotic Susceptibility Scale, Form C (r = .821, p < .001). The current study examined the factor structure of the EHS, which was administered to 252 adults (51.3% male; 48.7% female). Average time of administration was 25.8 minutes. Four factors selected on the basis of the best theoretical fit accounted for 63.37% of the variance. The results of this study provide an initial factor structure for the EHS. PMID:25978085

  19. Stability analysis of a high fibre yield and low lignin content "thick stem" mutant in tossa jute (Corchorus olitorius L.).

    Science.gov (United States)

    Mandal, Aninda; Datta, Animesh K

    2014-01-01

    A "thick stem" mutant of Corchorus olitorius L. was induced at M2 (0.50%, 4 h, EMS) and the true breeding mutant is assessed across generations (M5 to M7) considering morphometric traits as well as SEM analysis of pollen grains and raw jute fibres, stem anatomy, cytogenetical attributes, and lignin content in relation to control. Furthermore, single fibre diameter and tensile strength are also analysed. The objective is to assess the stability of mutant for its effective exploration for raising a new plant type in tossa jute for commercial exploitation and efficient breeding. The mutant trait is monogenic recessive to normal. Results indicate that "thick stem" mutant is stable across generations (2n = 14) with distinctive high seed and fibre yield and significantly low lignin content. Stem anatomy of the mutant shows significant enhancement in fibre zone, number of fibre pyramids and fibre bundles per pyramid, and diameter of fibre cell in relation to control. Moreover, tensile strength of mutant fibre is significantly higher than control fibre and the trait is inversely related to fibre diameter. However the mutant is associated with low germination frequency, poor seed viability, and high pollen sterility, which may be eliminated through mutational approach followed by rigorous selection and efficient breeding.

  20. A clustering approach for the analysis of solar energy yields: A case study for concentrating solar thermal power plants

    Science.gov (United States)

    Peruchena, Carlos M. Fernández; García-Barberena, Javier; Guisado, María Vicenta; Gastón, Martín

    2016-05-01

    The design of Concentrating Solar Thermal Power (CSTP) systems requires a detailed knowledge of the dynamic behavior of the meteorology at the site of interest. Meteorological series are often condensed into one representative year with the aim of data volume reduction and speeding-up of energy system simulations, defined as Typical Meteorological Year (TMY). This approach seems to be appropriate for rather detailed simulations of a specific plant; however, in previous stages of the design of a power plant, especially during the optimization of the large number of plant parameters before a final design is reached, a huge number of simulations are needed. Even with today's technology, the computational effort to simulate solar energy system performance with one year of data at high frequency (as 1-min) may become colossal if a multivariable optimization has to be performed. This work presents a simple and efficient methodology for selecting number of individual days able to represent the electrical production of the plant throughout the complete year. To achieve this objective, a new procedure for determining a reduced set of typical weather data in order to evaluate the long-term performance of a solar energy system is proposed. The proposed methodology is based on cluster analysis and permits to drastically reduce computational effort related to the calculation of a CSTP plant energy yield by simulating a reduced number of days from a high frequency TMY.

  1. Atomization efficiency and photon yield in laser-induced breakdown spectroscopy analysis of single nanoparticles in an optical trap

    Science.gov (United States)

    Purohit, Pablo; Fortes, Francisco J.; Laserna, J. Javier

    2017-04-01

    Laser-induced breakdown spectroscopy (LIBS) was employed for investigating the influence of particle size on the dissociation efficiency and the absolute production of photons per mass unit of airborne solid graphite spheres under single-particle regime. Particles of average diameter of 400 nm were probed and compared with 2 μm particles. Samples were first catapulted into aerosol form and then secluded in an optical trap set by a 532 nm laser. Trap stability was quantified before subjecting particles to LIBS analysis. Fine alignment of the different lines comprising the optical catapulting-optical trapping-laser-induced breakdown spectroscopy instrument and tuning of excitation parameters conditioning the LIBS signal such as fluence and acquisition delay are described in detail with the ultimate goal of acquiring clear spectroscopic data on masses as low as 75 fg. The atomization efficiency and the photon yield increase as the particle size becomes smaller. Time-resolved plasma imaging studies were conducted to elucidate the mechanisms leading to particle disintegration and excitation.

  2. Quantitative trait locus analysis of leaf morphological characters, yield-related traits, and secondary metabolite contents in Eucommia ulmoides.

    Science.gov (United States)

    Li, Y; Wei, J K; Li, Z Q; Lei, A N; Liu, M H

    2015-12-22

    Eucommia ulmoides is cultivated for the production of eucommia rubber and Chinese herbal drugs. Molecular breeding methods, such as marker-assisted selection (MAS), have the potential to improve the efficiency of E. ulmoides breeding. Quantitative trait locus (QTL) analysis was applied to identify marker-trait associations for E. ulmoides using an F1 mapping population of 152 individuals derived from a cross between the wild genotype Xiaoye and the cultivar Qinzhong No. 1. A total of 78 QTLs were identified for 12 leaf traits involving morphology, yield, and secondary metabolites. Phenotypic variance explained by individual QTLs ranged from 10.4 to 53.3%. Fifteen QTL clusters, each harboring loci controlling at least two leaf traits, were detected across nine linkage groups. Co-location of these QTLs may be due to pleiotropy or linkage. Three main QTL regions for secondary metabolites were consistently identified each year. QTL information from this study furthers our understanding of the genetic architecture of these economically important traits and of MAS in E. ulmoides breeding.

  3. Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces

    NARCIS (Netherlands)

    Pirttioja, N.; Carter, T.R.; Fronzek, S.; Bindi, M.; Hoffmann, H.; Palosuo, T.; Ruiz-Ramos, M.; Tao, F.; Trnka, M.; Acutis, M.; Supit, I.

    2015-01-01

    This study explored the utility of the impact response surface (IRS) approach for investigating model ensemble crop yield responses under a large range of changes in climate. IRSs of spring and winter wheat Triticum aestivum yields were constructed from a 26-member ensemble of process-based crop sim

  4. ANALYSIS OF EXTERNAL FACTORS AFFECTING THE PRICING

    Directory of Open Access Journals (Sweden)

    Irina A. Kiseleva

    2013-01-01

    Full Text Available The external factors influencing the process of formation of tariffs of commercial services are considered in the article. External environment is known to be very diverse and changeable. Currently, pricing has become one of the key processes of strategic development of a company. Pricing in the service sector, in turn, is highly susceptible to changes in the external environment. Its components directly or indirectly affect the market of services, changing it adopted economic processes. As a rule, firms providing services can’t influence the changes in external factors. However, the service market is very flexible, which enables businesses to reshape pricing strategy, to adapt it to the new environment.

  5. Factor Analysis for Spectral Reconnaissance and Situational Understanding

    Science.gov (United States)

    2016-07-11

    reviewed journals: Final Report: Factor Analysis for Spectral Reconnaissance and Situational Understanding Report Title The Army has a critical need for...based NP-hard design problems, by associating them with corresponding estimation problems. 1 Factor Analysis for Spectral Reconnaissance and Situational ...SECURITY CLASSIFICATION OF: The Army has a critical need for enhancing situational understanding for dismounted soldiers and rapidly deployed tactical

  6. A Factor Analysis of the BSRI and the PAQ.

    Science.gov (United States)

    Edwards, Teresa A.; And Others

    Factor analysis of the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ) was undertaken to study the independence of the masculine and feminine scales within each instrument. Both instruments were administered to undergraduate education majors. Analysis of primary first and second order factors of the BSRI indicated…

  7. Exploratory Factor Analysis of African Self-Consciousness Scale Scores

    Science.gov (United States)

    Bhagwat, Ranjit; Kelly, Shalonda; Lambert, Michael C.

    2012-01-01

    This study replicates and extends prior studies of the dimensionality, convergent, and external validity of African Self-Consciousness Scale scores with appropriate exploratory factor analysis methods and a large gender balanced sample (N = 348). Viable one- and two-factor solutions were cross-validated. Both first factors overlapped significantly…

  8. Multigroup Confirmatory Factor Analysis: Locating the Invariant Referent Sets

    Science.gov (United States)

    French, Brian F.; Finch, W. Holmes

    2008-01-01

    Multigroup confirmatory factor analysis (MCFA) is a popular method for the examination of measurement invariance and specifically, factor invariance. Recent research has begun to focus on using MCFA to detect invariance for test items. MCFA requires certain parameters (e.g., factor loadings) to be constrained for model identification, which are…

  9. Factor Analysis of People Rather than Variables: Q and Other Two-Mode Factor Analytic Models.

    Science.gov (United States)

    Frederick, Brigitte N.

    Factor analysis attempts to study how different objects group together to form factors with the purposes of: (1) reducing the number of factorable entities (e.g., variables) with which the researcher needs to deal; (2) searching data for qualitative and quantitative differences; and (3) testing hypotheses (R. Gorsuch, 1983). While most factor…

  10. Chiral analysis of baryon form factors

    Energy Technology Data Exchange (ETDEWEB)

    Gail, T.A.

    2007-11-08

    This work presents an extensive theoretical investigation of the structure of the nucleon within the standard model of elementary particle physics. In particular, the long range contributions to a number of various form factors parametrizing the interactions of the nucleon with an electromagnetic probe are calculated. The theoretical framework for those calculations is chiral perturbation theory, the exact low energy limit of Quantum Chromo Dynamics, which describes such long range contributions in terms of a pion-cloud. In this theory, a nonrelativistic leading one loop order calculation of the form factors parametrizing the vector transition of a nucleon to its lowest lying resonance, the {delta}, a covariant calculation of the isovector and isoscalar vector form factors of the nucleon at next to leading one loop order and a covariant calculation of the isoscalar and isovector generalized vector form factors of the nucleon at leading one loop order are performed. In order to perform consistent loop calculations in the covariant formulation of chiral perturbation theory an appropriate renormalization scheme is defined in this work. All theoretical predictions are compared to phenomenology and results from lattice QCD simulations. These comparisons allow for a determination of the low energy constants of the theory. Furthermore, the possibility of chiral extrapolation, i.e. the extrapolation of lattice data from simulations at large pion masses down to the small physical pion mass is studied in detail. Statistical as well as systematic uncertainties are estimated for all results throughout this work. (orig.)

  11. Analytic standard errors for exploratory process factor analysis.

    Science.gov (United States)

    Zhang, Guangjian; Browne, Michael W; Ong, Anthony D; Chow, Sy Miin

    2014-07-01

    Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA. Unlike standard errors for exploratory factor analysis with independent data, the analytic standard errors for EPFA take into account the time dependency in time series data. In addition, factor rotation is treated as the imposition of equality constraints on model parameters. Properties of the analytic standard errors are demonstrated using empirical and simulated data.

  12. A replication of a factor analysis of motivations for trapping

    Science.gov (United States)

    Schroeder, Susan; Fulton, David C.

    2015-01-01

    Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998).  We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.

  13. Analysis of Interaction Factors Between Two Piles

    Institute of Scientific and Technical Information of China (English)

    CAO Ming; CHEN Long-zhu

    2008-01-01

    A rigorous analytical method is presented for calculating the interaction factor between two identical piles subjected to vertical loads. Following the technique proposed by Muki and Sternberg, the problem is decomposed into an extended soil mass and two fictitious piles characterized respectively by Young's modulus of the soil and that of the difference between the pile and soil. The unknown axial forces along fictitious piles are determined by solving a Fredholm integral equation of the second kind, which imposes the compatibility condition that the axial strains of the fictitious piles are equal to those corresponding to the centroidal axes of the extended soil. The real pile forces and displacements can subequally be calculated based on the determined fictitious pile forces, and finally, the desired pile interaction factors may be obtained. Results confirm the validity of the proposed approach and portray the influence of the governing parameters on the pile interaction.

  14. Investigating product development strategy in beverage industry using factor analysis

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

    Full Text Available Selecting a product development strategy that is associated with the company's current service or product innovation, based on customers’ needs and changing environment, plays an important role in increasing demand, increasing market share, increasing sales and profits. Therefore, it is important to extract effective variables associated with product development to improve performance measurement of firms. This paper investigates important factors influencing product development strategies using factor analysis. The proposed model of this paper investigates 36 factors and, using factor analysis, we extract six most influential factors including information sharing, intelligence information, exposure strategy, differentiation, research and development strategy and market survey. The first strategy, partnership, includes five sub-factor including product development partnership, partnership with foreign firms, customers’ perception from competitors’ products, Customer involvement in product development, inter-agency coordination, customer-oriented approach to innovation and transmission of product development change where inter-agency coordination has been considered the most important factor. Internal strengths are the most influential factors impacting the second strategy, intelligence information. The third factor, introducing strategy, introducing strategy, includes four sub criteria and consumer buying behavior is the most influencing factor. Differentiation is the next important factor with five components where knowledge and expertise in product innovation is the most important one. Research and development strategy with four sub-criteria where reducing product development cycle plays the most influential factor and finally, market survey strategy is the last important factor with three factors and finding new market plays the most important role.

  15. A meta-analysis of the yield of capsule endoscopy compared to double-balloon enteroscopy in patients with small bowel diseases

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    AIM: To compare the diagnostic yield of capsule endoscopy(CE) with that of double-balloon enteroscopy (DBE).METHODS: Pubmed, Embase, Elsevier ScienceDirect,the China Academic Journals Full-text Database, and Cochrane Controlled Trials Register were searched for the trials comparing the yield of CE with that of DBE.Outcome measure was odds ratio (OR) of the yield. Fixed or random model method was used for data analysis.RESULTS: Eight studies (n = 277) which prospectively compared the yield of CE and DBE were collected. The results of meta-analysis indicated that there was no difference between the yield of CE and DBE [170/277 vs 156/277, OR 1.21 (95% CI: 0.64-2.29)]. Based on sub analysis, the yield of CE was significantly higher than that of double-balloon enteroscopy without combination of oral and anal insertion approaches [137/219 vs 110/219, OR 1.67 (95% CI: 1.14-2.44), P < 0.01), but not superior to the yield of DBE with combination of the two insertion approaches [26/48 vs 37/48, OR 0.33 (95% CI: 0.05-2.21), P > 0.05)]. A focused meta-analysis of the fully published articles concerning obscure GI bleeding was also performed and showed similar results wherein the yield of CE was significantly higher than that of DBE without combination of oral and anal insertion approaches [118/191 vs 96/191, fixed model: OR 1.61(95% CI: 1.07-2.43), P <0.05)] and the yield of CE was significantly lower than that of DBE by oral and anal combinatory approaches [11/24 vs 21/24, fixed model:OR 0.12 (95% CI: 0.03-0.52), P < 0.01)].CONCLUSION: With combination of oral and anal approaches, the yield of DBE might be at least as high as that of CE. Decisions made regarding the initial approach should depend on patient's physical status, technology availability, patient's preferences, and potential for therapeutic endoscopy.

  16. Housing Price Forecastability: A Factor Analysis

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther

    2016-01-01

    We examine U.S. housing price forecastability using principal component analysis (PCA), partial least squares (PLS), and sparse PLS (SPLS). We incorporate information from a large panel of 128 economic time series and show that macroeconomic fundamentals have strong predictive power for future...

  17. Housing price forecastability: A factor analysis

    DEFF Research Database (Denmark)

    Møller, Stig Vinther; Bork, Lasse

    2017-01-01

    We examine U.S. housing price forecastability using principal component analysis (PCA), partial least squares (PLS), and sparse PLS (SPLS). We incorporate information from a large panel of 128 economic time series and show that macroeconomic fundamentals have strong predictive power for future...

  18. Signs and symptoms of acute mania: a factor analysis

    Directory of Open Access Journals (Sweden)

    de Silva Varuni A

    2011-08-01

    Full Text Available Abstract Background The major diagnostic classifications consider mania as a uni-dimensional illness. Factor analytic studies of acute mania are fewer compared to schizophrenia and depression. Evidence from factor analysis suggests more categories or subtypes than what is included in the classification systems. Studies have found that these factors can predict differences in treatment response and prognosis. Methods The sample included 131 patients consecutively admitted to an acute psychiatry unit over a period of one year. It included 76 (58% males. The mean age was 44.05 years (SD = 15.6. Patients met International Classification of Diseases-10 (ICD-10 clinical diagnostic criteria for a manic episode. Patients with a diagnosis of mixed bipolar affective disorder were excluded. Participants were evaluated using the Young Mania Rating Scale (YMRS. Exploratory factor analysis (principal component analysis was carried out and factors with an eigenvalue > 1 were retained. The significance level for interpretation of factor loadings was 0.40. The unrotated component matrix identified five factors. Oblique rotation was then carried out to identify three factors which were clinically meaningful. Results Unrotated principal component analysis extracted five factors. These five factors explained 65.36% of the total variance. Oblique rotation extracted 3 factors. Factor 1 corresponding to 'irritable mania' had significant loadings of irritability, increased motor activity/energy and disruptive aggressive behaviour. Factor 2 corresponding to 'elated mania' had significant loadings of elevated mood, language abnormalities/thought disorder, increased sexual interest and poor insight. Factor 3 corresponding to 'psychotic mania' had significant loadings of abnormalities in thought content, appearance, poor sleep and speech abnormalities. Conclusions Our findings identified three clinically meaningful factors corresponding to 'elated mania', 'irritable mania

  19. Factors Effecting Unemployment: A Cross Country Analysis

    Directory of Open Access Journals (Sweden)

    Aurangzeb

    2013-01-01

    Full Text Available This paper investigates macroeconomic determinants of the unemployment for India, China and Pakistan for the period 1980 to 2009. The investigation was conducted through co integration, granger causality and regression analysis. The variables selected for the study are unemployment, inflation, gross domestic product, exchange rate and the increasing rate of population. The results of regression analysis showed significant impact of all the variables for all three countries. GDP of Pakistan showed positive relation with the unemployment rate and the reason of that is the poverty level and underutilization of foreign investment. The result of granger causality showed that bidirectional causality does not exist between any of the variable for all three countries. Co integration result explored that long term relationship do exist among the variables for all the models. It is recommended that distribution of income needs to be improved for Pakistan in order to have positive impact of growth on the employment rate.

  20. Exploratory Factor Analysis of SRS-2 Teacher Ratings for Youth with ASD.

    Science.gov (United States)

    Nelson, Andrew T; Lopata, Christopher; Volker, Martin A; Thomeer, Marcus L; Toomey, Jennifer A; Dua, Elissa

    2016-09-01

    This study examined the factor structure and internal consistency of special education teaching staff ratings on the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), as well as the percentage of ratings falling above pre-established cut scores, for a sample of lower-functioning youth with autism spectrum disorder (ASD; n = 264). Results of the exploratory factor analysis yielded a four-factor correlated solution. The individual factors and total score demonstrated satisfactory internal consistency reliability for screening purposes. When applying the lowest pre-established cut score (T ≥ 60; minimum indication of clinically significant symptoms/impairments), 85 % of the sample had ratings in that range or higher (more severe). Implications for assessment and future research are provided.

  1. Impacts of Seedling Age on Early Rice Yield and Yield component Factors%不同秧龄对早稻产量及其构成因素的影响

    Institute of Scientific and Technical Information of China (English)

    詹文忠; 梅少华; 范向阳; 梅金安; 翟中兵; 刘诗晴; 张从德; 魏坦雄

    2012-01-01

    Using hybrid early rice Liangyou 302 as experiment material, the effects of seedling age on growth characteristics, breed features and yield performance of rice with transplanting and seedling throwing methods were studied. The results showed that there were the same performance tendencies in growth characteristics, breed features and yield performance between transplanting rice and seedling throwing rice. Early planting at suitable age had the advantages of premature and early maturity. The vegetative period of 20 days-seedlings prolonged 3~10 d and its mature period arrived 2~6 d ahead of time. There were very significant negative correlations between seedling age and effective panicles, total grain number and yield.%以杂交早稻两优302为试验材料,研究了不同秧龄在移栽和抛栽方式下的生长特点、生育特性及产量表现.结果表明,移栽和抛栽表现趋势相同,适龄早栽具有早发和早熟优势,秧龄20 d时大田营养生长期延长3~10d,早熟2~6 d;秧龄与有效穗数、每穗总粒数和产量均呈极显著的负相关.

  2. ANALYSIS OF RISK FACTORS ECTOPIC PREGNANCY

    Directory of Open Access Journals (Sweden)

    Budi Santoso

    2017-04-01

    Full Text Available Introduction: Ectopic pregnancy is a pregnancy with extrauterine implantation. This situation is gynecologic emergency that contributes to maternal mortality. Therefore, early recognition, based on identification of the causes of ectopic pregnancy risk factors, is needed. Methods: The design descriptive observational. The samples were pregnant women who had ectopic pregnancy at Maternity Room, Emergency Unit, Dr. Soetomo Hospital, Surabaya, from 1 July 2008 to 1 July 2010. Sampling technique was total sampling using medical records. Result: Patients with ectopic pregnancy were 99 individuals out of 2090 pregnant women who searched for treatment in Dr. Soetomo Hospital. However, only 29 patients were accompanied with traceable risk factors. Discussion:. Most ectopic pregnancies were in the age group of 26-30 years, comprising 32 patients (32.32%, then in age groups of 31–35 years as many as 25 patients (25.25%, 18 patients in age group 21–25 years (18.18%, 17 patients in age group 36–40 years (17.17%, 4 patients in age group 41 years and more (4.04%, and the least was in age group of 16–20 years with 3 patients (3.03%. A total of 12 patients with ectopic pregnancy (41.38% had experience of abortion and 6 patients (20.69% each in groups of patients with ectopic pregnancy who used family planning, in those who used family planning as well as ectopic pregnancy patients with history of surgery. There were 2 patients (6.90% of the group of patients ectopic pregnancy who had history of surgery and history of abortion. The incidence rate of ectopic pregnancy was 4.73%, mostly in the second gravidity (34.34%, whereas the nulliparous have the highest prevalence of 39.39%. Acquired risk factors, i.e. history of operations was 10.34%, patients with family planning 20.69%, patients with history of abortion 41.38%, patients with history of abortion and operation 6.90% patients with family and history of abortion was 20.69%.

  3. 长江上游社会经济因子对侵蚀产沙的影响%Impacts of socio-economic factors on sediment yield in the Upper Yangtze River

    Institute of Scientific and Technical Information of China (English)

    杜俊; 师长兴; 范小黎; 周园园

    2011-01-01

    In recent years, the role of human activities in changing sediment yield has become more apparent for the construction of hydraulic engineering and water conservation projections in the Upper Yangtze River, but it has not been evaluated at the macro scale. Taking Sichuan Province and Chongqing City as an example, this paper studies the relationship between socio-economic factors and sediment yield in the Upper Yangtze River based on section data in 1989 and 2007. The results show that sediment yield is significantly correlated with population density and cultivated area, in which the former appears to be more closely related to sediment yield. Moreover, in the relation of sediment yield vs. population density, a critical value of population density exists, below which the sediment yield increases with the increase of population density and over which the sediment yield increases with the decrease of population density. The phenomenon essentially reflects the influence of natural factors, such as topography, precipitation and soil property, and some human activities on sediment yield. The region with a higher population density than critical value is located in the east of the study area and is characterized by plains, hills and low mountains, whereas the opposite is located in the west and characterized by middle and high mountains. In the eastern region, more people live on the lands with a low slope where regional soil erosion is slight; therefore, sediment yield is negatively related with population density. In contrast, in the western region, the population tends to aggregate in the areas with abundant soil and water resources which usually lead to a higher intensity of natural erosion, and in turn, high-intensity agricultural practices in these areas may further strengthen local soil erosion. It is also found that population tends to move from the areas with bad environment and high sediment yield to the areas with more comfortable environment and less

  4. A comparison of two adaptive multivariate analysis methods (PLSR and ANN) for winter wheat yield forecasting using Landsat-8 OLI images

    Science.gov (United States)

    Chen, Pengfei; Jing, Qi

    2017-02-01

    An assumption that the non-linear method is more reasonable than the linear method when canopy reflectance is used to establish the yield prediction model was proposed and tested in this study. For this purpose, partial least squares regression (PLSR) and artificial neural networks (ANN), represented linear and non-linear analysis method, were applied and compared for wheat yield prediction. Multi-period Landsat-8 OLI images were collected at two different wheat growth stages, and a field campaign was conducted to obtain grain yields at selected sampling sites in 2014. The field data were divided into a calibration database and a testing database. Using calibration data, a cross-validation concept was introduced for the PLSR and ANN model construction to prevent over-fitting. All models were tested using the test data. The ANN yield-prediction model produced R2, RMSE and RMSE% values of 0.61, 979 kg ha-1, and 10.38%, respectively, in the testing phase, performing better than the PLSR yield-prediction model, which produced R2, RMSE, and RMSE% values of 0.39, 1211 kg ha-1, and 12.84%, respectively. Non-linear method was suggested as a better method for yield prediction.

  5. The Analysis Of The Strain Influence On Some Yield Elemnts On An Assortment Of Isogenic Wheat Varieties

    Science.gov (United States)

    Păniţă, Ovidiu

    2015-09-01

    In the years 2012-2014 on Banu-Maracine DRS were tested an assortment consists of 25 isogenic lines of common wheat (Triticum aestivum ssp.vulgare), with the combination of Rht1&rht8 genes, the analyzed characters being the hight of the strain (cm), the number of seeds/spike, seeds weight/spike (g), no. of spikes/m2, weight of a thousand seeds (WTS) (g) and no. of emerged plants/m2. Based on recorded data and statistical processing of those, they were identified a numbers of links between these characters, links quantified by using the correlation. Regarding the classification based on the average high of the strain, it was found that that there is a strong link between some characters too. Based on component analysis, the no. of seeds/spike and the seeds weight/spikes are components that influence in excess of 83% variance analysis, a total of five genotypes having positive scores for both factors.

  6. Effects of genetic and non-genetic factors on growth traits of high yielding dairy seed calves and genetic parameter estimates

    Directory of Open Access Journals (Sweden)

    Syed Mohammad Ashiqur Rahman

    2015-12-01

    Full Text Available The study was conducted to know the effects of several genetic and non-genetic factors like season, sex, year of birth, genotype of calves and milk yield of dam associated with growth performance of crossbred calves. Data were collected from registered farmers during the period of May, 2011 to April, 2013. Birth weight, three-month weight, six-month weight, weaning weight and heritability estimates of those growth performances were performed using a total of 82 registered calves which had pedigree information having the genotypes of 25% Local - 75% Friesian and 37.5% Local - 62.5% Friesian. The average birth, three-month, six-month and weaning weight of calves were 29.33, 64.32, 99.06 and 151.77 kg, respectively. The effects of non-genetic factors like sex, season of birth and genotype were non-significant (P>0.05 for the traits birth weight, three-month, six-month, weaning weight and average daily gain of calves. However, year of birth was found significant on birth (P0.05 on weaning weight and average daily gain of calves. The heritability estimates were 0.40±0.09, 0.46±0.08, 0.39±0.12 and 0.50±0.12 for the traits birth weight, three-month weight, six-month weight and weaning weight, respectively. Estimated heritabilities of live weights suggest that individual own performance basis selection would be more effective for increasing growth and therefore, should be paid more emphasis in cattle improvement program.

  7. Growth analysis and yield of two varieties of groundnut (Arachis hypogaea L.) as influenced by different weed control methods.

    Science.gov (United States)

    Olayinka, Bolaji U; Etejere, Emmanuel O

    Field trials were carried out to evaluate the effects of seven weed management strategies on the growth and yield of two groundnut varieties (Samnut 10 and MK 373) for two successive seasons (2010-2011). The experimental layout was a split plot complete randomized block design with three replications. The two groundnut varieties showed identical pattern of results for leaf area index, dry matter accumulation, relative growth rate, net assimilation rate and crop growth rate as well as yield. All the weed control treatments significantly enhanced the growth and yield compared with the weedy check. The weed free check had the highest growth but the highest yield was recorded from rice straw mulch at 0.1 m depth + one hand weeding at 6 weeks after sowing (WAS) due to increase in number of matured pods per plant, seed weight per plant and 100-seed weight. The results showed that rice straw mulch at 0.1 m depth + one hand weeding at 6 WAS was better agronomical practice for enhancing growth and yield of groundnut. This enhancement could be as a result of its positive influence on physiological parameters such as leaf area index, dry matter accumulation, relative growth rate, net assimilation rate and crop growth rate. Its use is also ecofriendly as it limits the need for synthetic herbicide.

  8. A methodology for model-based greenhouse design: Part 3, sensitivity analysis of a combined greenhouse climate-crop yield model

    NARCIS (Netherlands)

    Vanthoor, B.H.E.; Henten, van E.J.; Stanghellini, C.; Visser, de P.H.B.

    2011-01-01

    Greenhouse design is an optimisation problem that might be solved by a model-based greenhouse design method. A sensitivity analysis of a combined greenhouse climate-crop yield model of tomato was done to identify the parameters, i.e. greenhouse design parameters, outdoor climate and climate set-poin

  9. Ecosystem-management-based Management Models of Fast-growing and High-yield Plantation and Its Eco-economic Benefits Analysis

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The paper expounded the basic concept and principles of ecosystem management,and analyzed the state and trend of industrial plantation ecosystem management in other countries.Based on the analysis of typical case studies,the eco-economic benefits were evaluated for the management models of fast-growing and high-yield plantations.

  10. Analysis of Socio-Economic Factors Influencing Farmers' Adoption ...

    African Journals Online (AJOL)

    Analysis of Socio-Economic Factors Influencing Farmers' Adoption of Rice ... Farming experience, household size, farm size and extension contact ... gender, market availability, education, extension contact, labour availability and farm size.

  11. Exploring Technostress: Results of a Large Sample Factor Analysis

    Directory of Open Access Journals (Sweden)

    Steponas Jonušauskas

    2016-06-01

    Full Text Available With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ answers, revealing technostress causes and consequences as well as technostress prevalence in the population in a statistically validated pattern. A key elements of technostress based on factor analysis can serve for the construction of technostress measurement scales in further research.

  12. Risk Factor Analysis for Oral Precancer among Slum Dwellers in ...

    African Journals Online (AJOL)

    Rajasthan Dental College, Jaipur, Rajasthan, 1Dental Wing, All India Institute of Medical Sciences (AIIMS), Bhopal,. 4Department of Public ... Keywords: Oral cancer, Risk factor analysis, Slum dwellers. Access this .... hygiene aid used in India.

  13. Meta analysis of risk factors for colorectal cancer

    Institute of Scientific and Technical Information of China (English)

    Kun Chen; Jiong-Liang Qiu; Yang Zhang; Yu-Wan Zhao

    2003-01-01

    AIM: To study the risk factors for colorectal cancer in China.METHODS: A meta-analysis of the risk factors of colorectal cancer was conducted for 14 case-control studies, and reviewed 14 reports within 13 years which included 5034cases and 5205 controls. Dersimonian and Laird random effective models were used to process the results.RESULTS: Meta analysis of the 14 studies demonstrated that proper physical activites and dietary fibers were protective factors (pooled OR<0.8), while fecal mucohemorrhage,chronic diarrhea and polyposis were highly associated with colorectal cancer (all pooled OR>4). The stratified results showed that different OR values of some factors were due to geographic factors or different resourses.CONCLUSION: Risks of colorectal cancer are significantly associated with the histories of intestinal diseases or relative symptoms, high lipid diet, emotional trauma and family history of cancers. The suitable physical activities and dietary fibers are protective factors.

  14. Text mining factor analysis (TFA) in green tea patent data

    Science.gov (United States)

    Rahmawati, Sela; Suprijadi, Jadi; Zulhanif

    2017-03-01

    Factor analysis has become one of the most widely used multivariate statistical procedures in applied research endeavors across a multitude of domains. There are two main types of analyses based on factor analysis: Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Both EFA and CFA aim to observed relationships among a group of indicators with a latent variable, but they differ fundamentally, a priori and restrictions made to the factor model. This method will be applied to patent data technology sector green tea to determine the development technology of green tea in the world. Patent analysis is useful in identifying the future technological trends in a specific field of technology. Database patent are obtained from agency European Patent Organization (EPO). In this paper, CFA model will be applied to the nominal data, which obtain from the presence absence matrix. While doing processing, analysis CFA for nominal data analysis was based on Tetrachoric matrix. Meanwhile, EFA model will be applied on a title from sector technology dominant. Title will be pre-processing first using text mining analysis.

  15. Linking genome content to biofuel production yields: a meta-analysis of major catabolic pathways among select H2 and ethanol-producing bacteria

    Directory of Open Access Journals (Sweden)

    Carere Carlo R

    2012-12-01

    Full Text Available Abstract Background Fermentative bacteria offer the potential to convert lignocellulosic waste-streams into biofuels such as hydrogen (H2 and ethanol. Current fermentative H2 and ethanol yields, however, are below theoretical maxima, vary greatly among organisms, and depend on the extent of metabolic pathways utilized. For fermentative H2 and/or ethanol production to become practical, biofuel yields must be increased. We performed a comparative meta-analysis of (i reported end-product yields, and (ii genes encoding pyruvate metabolism and end-product synthesis pathways to identify suitable biomarkers for screening a microorganism’s potential of H2 and/or ethanol production, and to identify targets for metabolic engineering to improve biofuel yields. Our interest in H2 and/or ethanol optimization restricted our meta-analysis to organisms with sequenced genomes and limited branched end-product pathways. These included members of the Firmicutes, Euryarchaeota, and Thermotogae. Results Bioinformatic analysis revealed that the absence of genes encoding acetaldehyde dehydrogenase and bifunctional acetaldehyde/alcohol dehydrogenase (AdhE in Caldicellulosiruptor, Thermococcus, Pyrococcus, and Thermotoga species coincide with high H2 yields and low ethanol production. Organisms containing genes (or activities for both ethanol and H2 synthesis pathways (i.e. Caldanaerobacter subterraneus subsp. tengcongensis, Ethanoligenens harbinense, and Clostridium species had relatively uniform mixed product patterns. The absence of hydrogenases in Geobacillus and Bacillus species did not confer high ethanol production, but rather high lactate production. Only Thermoanaerobacter pseudethanolicus produced relatively high ethanol and low H2 yields. This may be attributed to the presence of genes encoding proteins that promote NADH production. Lactate dehydrogenase and pyruvate:formate lyase are not conducive for ethanol and/or H2 production. While the type(s of

  16. The Pain Behaviour Checklist: factor analysis and validation.

    Science.gov (United States)

    Anciano, D

    1986-11-01

    A factor analysis was performed on Philips & Hunter's (1981) Pain Behaviour Checklist for headache sufferers. Three intuitively meaningful factors emerged. All were similarly associated with overall intensity; pain severity does not determine type of pain behaviour. Differences in pain behaviour emerged between migraine and tension headache groups.

  17. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Kelley Strohacker, Rebecca A. Zakrajsek

    2016-06-01

    Full Text Available Assessment of “exercise readiness” is a central component to the flexible non-linear periodization (FNLP method of organizing training workloads, but the underlying factor structure of this construct has not been empirically determined. The purpose of this study was to assess construct dimensionality of exercise readiness using exploratory factor analysis. The result of which serve as initial steps of developing a brief measure of exercise readiness. Participants consisted of students recruited from undergraduate Kinesiology courses at a racially diverse, southern University. Independent, anonymous online survey data were collected across three stages: 1 generation of item pool (n = 290, 2 assessment of face validity and refinement of item pool (n = 168, and 3 exploratory factor analysis (n = 684. A principal axis factor analysis was conducted with 41 items using oblique rotation (promax. Four statistically significant factors, as determined through parallel analysis, explained 61.5% of the variance in exercise readiness. Factor 1 contained items that represented vitality (e.g., lively, revived. Factor 2 items related to physical fatigue (e.g. tired, drained. Factors 3 and 4 were descriptive of, discomfort (e.g. pain, sick and health (i.e. healthy, fit, respectively. This inductive approach indicates that exercise readiness is comprised of four dimensions: vitality, physical fatigue, discomfort, and health. This finding supports readiness assessment techniques currently recommended for practitioners according to the FNLP model. These results serve as a theoretical foundation upon which to further develop and refine a brief survey instrument to measure exercise readiness.

  18. 48 CFR 2115.404-71 - Profit analysis factors.

    Science.gov (United States)

    2010-10-01

    ... account in assigning a plus weight. (5) Cost control. This factor is based on the Contractor's previously... TYPES CONTRACTING BY NEGOTIATION Contract Pricing 2115.404-71 Profit analysis factors. (a) The OPM... receive a plus weight, and poor performance or failure to comply with contract terms and conditions a zero...

  19. Analysis on Family Factor in Construction of New Socialist Countryside

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    This paper analyzes the family factor in the construction of new socialist countryside. It is believed that the family plays both the positive role and negative role in new socialist countryside construction. Based on this analysis,it puts forward corresponding countermeasures,including bringing into play the effect of family in promoting production and carrying forward excellent factors of family culture.

  20. Exploratory Tobit factor analysis for multivariate censored data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2001-01-01

    We propose Multivariate Tobit models with a factor structure on the covariance matrix. Such models are particularly useful in the exploratory analysis of multivariate censored data and the identification of latent variables from behavioral data. The factor structure provides a parsimonious

  1. Connectivism in Postsecondary Online Courses: An Exploratory Factor Analysis

    Science.gov (United States)

    Hogg, Nanette; Lomicky, Carol S.

    2012-01-01

    This study explores 465 postsecondary students' experiences in online classes through the lens of connectivism. Downes' 4 properties of connectivism (diversity, autonomy, interactivity, and openness) were used as the study design. An exploratory factor analysis was performed. This study found a 4-factor solution. Subjects indicated that autonomy…

  2. Confirmatory Factor Analysis of the Career Factors Inventory on a Community College Sample

    Science.gov (United States)

    Simon, Merril A.; Tovar, Esau

    2004-01-01

    A confirmatory factor analysis was conducted using AMOS 4.0 to validate the 21-item Career Factors Inventory on a community college student sample. The multidimensional inventory assesses types and levels of career indecision antecedents. The sample consisted of 512 ethnically diverse freshmen students; 46% were men and 54% were women.…

  3. Assessment of driving factors for yield and productivity developments in crop and cattle production as key to increasing sustainable biomass potentials

    NARCIS (Netherlands)

    Gerssen-Gondelach, Sarah|info:eu-repo/dai/nl/355262436; Wicke, Birka|info:eu-repo/dai/nl/306645955; Faaij, Andre

    The sustainable production potential of biomass for energy and material purposes largely depends on the future availability of surplus agricultural lands made available through yield improvements in crop and livestock production. However, the rates at which yields may develop, and the influence of

  4. Assessment of driving factors for yield and productivity developments in crop and cattle production as key to increasing sustainable biomass potentials

    NARCIS (Netherlands)

    Gerssen-Gondelach, Sarah; Wicke, Birka; Faaij, Andre

    2015-01-01

    The sustainable production potential of biomass for energy and material purposes largely depends on the future availability of surplus agricultural lands made available through yield improvements in crop and livestock production. However, the rates at which yields may develop, and the influence of t

  5. Transcriptome analysis suggests that starch synthesis may proceed via multiple metabolic routes in high yielding potato cultivars.

    Directory of Open Access Journals (Sweden)

    Kacper Piotr Kaminski

    Full Text Available BACKGROUND: Glucose-6-phosphate is imported into the amyloplast of potato tubers and thought to constitute the precursor for starch synthesis in potato tubers. However, recently it was shown that glucose-1-phosphate can also be imported into the amyloplast and incorporated into starch via an ATP independent mechanism under special conditions. Nonetheless, glucose-6-phosphate is believed to be the quantitatively important precursor for starch synthesis in potato. PRINCIPAL FINDING: Potato tubers of the high yielding cv Kuras had low gene expression of plastidial phophoglucomutase (PGM and normal levels of transcripts for other enzymes involved in starch metabolism in comparison with medium and low yielding cultivars as determined by DeepSAGE transcriptome profiling. The decrease in PGM activity in Kuras was confirmed by measuring the enzyme activity from potato tuber extracts. Contrary to expectations, this combination lead to a higher level of intracellular glucose-1-phosphate (G1P in Kuras suggesting that G1P is directly imported into plastids and can be quantitatively important for starch synthesis under normal conditions in high yielding cultivars. SIGNIFICANCE: This could open entirely new possibilities for metabolic engineering of the starch metabolism in potato via the so far uncharacterized G1P transporter. The perspectives are to increase yield and space efficiency of this important crop. In the light of the increasing demands imposed on agriculture to support a growing global population this presents an exciting new possibility.

  6. Gypsum effects on crop yield and chemistry of soil, crop tissue, and vadose zone water: A meta-analysis.

    Science.gov (United States)

    Gypsum has various potential benefits as a soil amendment, but data are lacking on gypsum effects on crop yields and on environmental impacts across diverse field sites. Gypsum studies were conducted in six states using a common design with three rates each of mined and flue gas desulfurization (FGD...

  7. A meta-analysis of maize and wheat yields in low-input vs. conventional and organic systems

    Science.gov (United States)

    Organic and low-input systems are proposed as ways to reduce the environmental impacts of agriculture. Previous studies have shown that yields of organic systems can be ~19-25% lower than conventional systems. An intermediary, low-input system could be less damaging for the environment than conventi...

  8. Innovation-oriented Analysis of Critical Control Points (IACCP): Sho Wishes to Solve Sweet Pepper Yield Oscillations?

    NARCIS (Netherlands)

    Schepers, H.E.; Kromdijk, W.; Kooten, van O.

    2006-01-01

    A generic program for mathematical model-supported innovation profiling in fresh food supply chains is presented. Building on top of a crop growth model, strategies to address the problem of sweet pepper yield oscillations (flushes) are analysed quantitatively from both isolated or combined perspect

  9. Do organic inputs matter – a meta-analysis of additional yield effects for arable crops in Europe

    NARCIS (Netherlands)

    Hijbeek, R.; Ittersum, van M.K.; Berge, Ten H.F.M.; Gort, G.; Spiegel, H.; Whitmore, A.P.

    2017-01-01

    Background and aims: Organic inputs have a positive effect on the soil organic matter balance. They are therefore an important asset for soil fertility and crop growth. This study quantifies the additional yield effect due to organic inputs for arable crops in Europe when macro-nutrients are not

  10. Conditioning Analysis of Incomplete Cholesky Factorizations with Orthogonal Dropping

    Energy Technology Data Exchange (ETDEWEB)

    Napov, Artem [Free Univ. of Brussels (Belgium)

    2013-08-01

    The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (dropped) components are orthogonal to the approximations being kept is presented. General estimate for the condition number of the preconditioned system is given which only depends on the accuracy of individual approximations. The estimate is further improved if, for instance, only the newly computed rows of the factor are modified during each approximation step. In this latter case it is further shown to be sharp. The analysis is illustrated with some existing factorizations in the context of discretized elliptic partial differential equations.

  11. Conditioning Analysis of Incomplete Cholesky Factorizations with Orthogonal Dropping

    Energy Technology Data Exchange (ETDEWEB)

    Napov, Artem [Free Univ. of Brussels (Belgium)

    2013-08-01

    The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (dropped) components are orthogonal to the approximations being kept is presented. General estimate for the condition number of the preconditioned system is given which only depends on the accuracy of individual approximations. The estimate is further improved if, for instance, only the newly computed rows of the factor are modified during each approximation step. In this latter case it is further shown to be sharp. The analysis is illustrated with some existing factorizations in the context of discretized elliptic partial differential equations.

  12. Capsule endoscopy has a significantly higher diagnostic yield in patients with suspected and established small-bowel Crohn's disease: a meta-analysis.

    Science.gov (United States)

    Dionisio, Paula M; Gurudu, Suryakanth R; Leighton, Jonathan A; Leontiadis, Grigoris I; Fleischer, David E; Hara, Amy K; Heigh, Russell I; Shiff, Arthur D; Sharma, Virender K

    2010-06-01

    Capsule endoscopy (CE) has demonstrated superior performance compared with other modalities in its ability to detect early small-bowel (SB) Crohn's disease (CD), especially when ileoscopy is negative or unsuccessful. The aim of this study was to evaluate the diagnostic yield of CE compared with other modalities in patients with suspected and established CD using a meta-analysis. A thorough literature search for prospective studies comparing the diagnostic yield of CE with other modalities in patients with CD was undertaken. Other modalities included push enteroscopy (PE), colonoscopy with ileoscopy (C+IL), SB radiography (SBR), computed tomography enterography (CTE), and magnetic resonance enterography (MRE). Data on diagnostic yield among various modalities were extracted, pooled, and analyzed. Data on patients with suspected and established CD were analyzed separately. Weighted incremental yield (IYW) (diagnostic yield of CE-diagnostic yield of comparative modality) and 95% confidence intervals (CIs) of CE over comparative modalities were calculated. A total of 12 trials (n=428) compared the yield of CE with SBR in patients with CD. Eight trials (n=236) compared CE with C+IL, four trials (n=119) compared CE with CTE, two trials (n=102) compared CE with PE, and four trials (n=123) compared CE with MRE. For the suspected CD subgroup, several comparisons met statistical significance. Yields in this subgroup were CE vs. SBR: 52 vs. 16% (IYw=32%, P<0.0001, 95% CI=16-48%), CE vs. CTE: 68 vs. 21% (IYw=47%, P<0.00001, 95% CI=31-63%), and CE vs. C+IL: 47 vs. 25% (IYw=22%, P=0.009, 95% CI=5-39%). Statistically significant yields for CE vs. an alternate diagnostic modality in established CD patients were seen in CE vs. PE: 66 vs. 9% (IYw=57%, P<0.00001, 95% CI=43-71%), CE vs. SBR: 71 vs. 36% (IYw=38%, P<0.00001, 95% CI=22-54%), and in CE vs. CTE: 71 vs. 39% (IYw=32%, P=or<0.0001, 95% CI=16-47%). Our meta-analysis demonstrates that CE is superior to SBR, CTE, and C+IL in the

  13. Production yield of produced radioisotopes from 100 MeV proton beam on lead target for shielding analysis of large accelerator

    Energy Technology Data Exchange (ETDEWEB)

    Oranj, Leila Mokhtari; Oh, Joo Hee; Jung, Nam Suk; Bae, O Ryun; Lee, Hee Seock [Div. of Advanced Nuclear Engineering, POSTECH, Pohang (Korea, Republic of)

    2014-11-15

    In this work, the production yield of major shielding material, a lead, was investigated using 100 MeV protons of KOMAC accelerator facility. For the analysis of the experimental data, the activity has been calculated using the FLUKA Monte Carlo code and analytical methods. The cross section data and the stopping power in the irradiated assembly were calculated by TALYS and SRIM codes in the analytical method, respectively. Consequently, the experimental production yield of produced radioisotopes was compared with the data that are based on Monte Carlo calculations and analytical studies. In this research, the {sup nat}Pb(p, x) reaction was studied using experimental measurements, Monte Carlo simulations and analytical methods. Rereading to the experimental measurements, we demonstrate that both Monte Carlo simulation and analytical methods could be useful tools for the estimation of production yield of this reaction.

  14. Systematic analysis of neutron yields from thick targets bombarded by heavy ions and protons with moving source model

    CERN Document Server

    Kato, T; Nakamura, T

    2002-01-01

    A simple phenomenological analysis using the moving source model has been performed on the neutron energy spectra produced by bombarding thick targets with high energy heavy ions which have been systematically measured at the Heavy-Ion Medical Accelerator (HIMAC) facility (located in Chiba, Japan) of the National Institute of Radiological Sciences (NIRS). For the bombardment of both heavy ions and protons in the energy region of 100-500 MeV per nucleon, the moving source model incorporating the knock-on process could be generally successful in reproducing the measured neutron spectra within a factor of two margin of accuracy. This phenomenological analytical equation is expressed having several parameters as functions of atomic number Z sub p , mass number A sub p , energy per nucleon E sub p for projectile, and atomic number Z sub T , mass number A sub T for target. By inputting these basic data for projectile and target into this equation we can easily estimate the secondary neutron energy spectra at an emi...

  15. Risk Factors Analysis on Traumatic Brain Injury Prognosis

    Institute of Scientific and Technical Information of China (English)

    Xiao-dong Qu; Resha Shrestha; Mao-de Wang

    2011-01-01

    To investigate the independent risk factors of traumatic brain injury (TBI) prognosis.Methods A retrospective analysis was performed in 885 hospitalized TEl patients from January 1,2003 to January 1, 2010 in the First Affiliated Hospital of Medical College of Xi' an Jiaotong University. Single-factor and logistic regression analysis were conducted to evaluate the association of different variables with TBI outcome.Results The single-factor analysis revealed significant association between several variables and TEl outcome, including age (P=0.044 for the age group 40-60, P<0.001 for the age group ≥60), complications (P<0.001), cerebrospinal fluid leakage (P<0.001), Glasgow Coma Scale (GCS) (P<0.001), pupillary light reflex (P<0.001), shock (P<0.001), associated extra-cranial lesions (P=0.01), subdural hematoma (P<0.001), cerebral contusion (P<0.001), diffuse axonal injury (P<0.001), and subarachnoid hemorrhage (P<0.001), suggesting the influence of those factors on the prognosis of TBI. Furthermore, logistic regression analysis identified age, GCS score, pupillary light reflex, subdural hematoma, and subarachnoid hemorrhage as independent risk factors of TEl prognosis.Conclusion Age, GCS score, papillary light reflex, subdural hematoma, and subarachnoid hemorrhage may be risk factors influencing the prognosis of TEl. Paying attention to those factors might improve the outcome of TBI in clinical treatment.

  16. Multivariate factor analysis of detailed milk fatty acid profile: Effects of dairy system, feeding, herd, parity, and stage of lactation.

    Science.gov (United States)

    Mele, M; Macciotta, N P P; Cecchinato, A; Conte, G; Schiavon, S; Bittante, G

    2016-12-01

    We investigated the potential of using multivariate factor analysis to extract metabolic information from data on the quantity and quality of milk produced under different management systems. We collected data from individual milk samples taken from 1,158 Brown Swiss cows farmed in 85 traditional or modern herds in Trento Province (Italy). Factor analysis was carried out on 47 individual fatty acids, milk yield, and 5 compositional milk traits (fat, protein, casein, and lactose contents, somatic cell score). According to a previous study on multivariate factor analysis, a variable was considered to be associated with a specific factor if the absolute value of its correlation with the factor was ≥0.60. The extracted factors were representative of the following 12 groups of fatty acids or functions: de novo fatty acids, branched fatty acid-milk yield, biohydrogenation, long-chain fatty acids, desaturation, short-chain fatty acids, milk protein and fat contents, odd fatty acids, conjugated linoleic acids, linoleic acid, udder health, and vaccelenic acid. Only 5 fatty acids showed small correlations with these groups. Factor analysis suggested the existence of differences in the metabolic pathways for de novo short- and medium-chain fatty acids and Δ(9)-desaturase products. An ANOVA of factor scores highlighted significant effects of the dairy farming system (traditional or modern), season, herd/date, parity, and days in milk. Factor behavior across levels of fixed factors was consistent with current knowledge. For example, compared with cows farmed in modern herds, those in traditional herds had higher scores for branched fatty acids, which were inversely associated with milk yield; primiparous cows had lower scores than older cows for de novo fatty acids, probably due to a larger contribution of lipids mobilized from body depots on milk fat yield. The statistical approach allowed us to reduce a large number of variables to a few latent factors with biological

  17. Analysis on total factor productivity of Chinese provincial economy

    Institute of Scientific and Technical Information of China (English)

    GUO Qingwang; ZHAO Zhiyun; JIA Junxue

    2006-01-01

    This paper applies the nonparametric DEA-Malmquist index approach to estimate total factor productivity growth,efficiency change and the rate of technological progress from 1979 to 2003.This is done to conduct analysis on the total factor productivity of China's provincial economy.Analysis on the evolution of distribution dynamics of relative labor productivity,relative total factor productivity,relative efficiency and relative technological progress is done by using kernel density estimation flor the period from 1979 to 2003 in 29 provinces of China.Our analysis indicates that disparities of provincial economic growth are large and have been increasing owing to the relatively large and increasing disparities of total factor productivity growth especially the rate of technological progress.

  18. Tucker3 method in biometrical research: Analysis of experiments with three factors, using R

    Science.gov (United States)

    de Araújo, Lúcio B.; Oliveira, Manuela M.; Dias, Carlos Tadeu dos S.; Oliveira, Amílcar; Oliveira, Teresa A.

    2012-09-01

    The present work aims to propose a systematic study and interpretation of a variable response in relation to three factors, using a model of Joint Table Analysis, the Tucker3 model, as well as the joint biplot graph. The proposed method seems efficient and suitable for separating standard technical response, and the pattern of noise contained in a three inputs table, as well as allows its interpretation. The joint plot graph facilitates the study and interpretation of the data structure and provides additional information on these. In our application the aim is to identify the combinations of genotypes, locations and years that contribute or not to a high yield of bean cultivars.

  19. Analysis of related risk factors for pancreatic fistula after pancreaticoduodenectomy

    Institute of Scientific and Technical Information of China (English)

    Qi-Song Yu; He-Chao Huang; Feng Ding; Xin-Bo Wang

    2016-01-01

    Objective:To explore the related risk factors for pancreatic fistula after pancreaticoduodenectomy to provide a theoretical evidence for effectively preventing the occurrence of pancreatic fistula.Methods:A total of 100 patients who were admitted in our hospital from January, 2012 to January, 2015 and had performed pancreaticoduodenectomy were included in the study. The related risk factors for developing pancreatic fistula were collected for single factor and Logistic multi-factor analysis.Results:Among the included patients, 16 had pancreatic fistula, and the total occurrence rate was 16% (16/100). The single-factor analysis showed that the upper abdominal operation history, preoperative bilirubin, pancreatic texture, pancreatic duct diameter, intraoperative amount of bleeding, postoperative hemoglobin, and application of somatostatin after operation were the risk factors for developing pancreatic fistula (P<0.05). The multi-factor analysis showed that the upper abdominal operation history, the soft pancreatic texture, small pancreatic duct diameter, and low postoperative hemoglobin were the dependent risk factors for developing pancreatic fistula (OR=4.162, 6.104, 5.613, 4.034,P<0.05).Conclusions:The occurrence of pancreatic fistula after pancreaticoduodenectomy is closely associated with the upper abdominal operation history, the soft pancreatic texture, small pancreatic duct diameter, and low postoperative hemoglobin; therefore, effective measures should be taken to reduce the occurrence of pancreatic fistula according to the patients’own conditions.

  20. Environmental Performance in Countries Worldwide: Determinant Factors and Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    Isabel Gallego-Alvarez

    2014-11-01

    Full Text Available The aim of this study is to analyze the environmental performance of countries and the variables that can influence it. At the same time, we performed a multivariate analysis using the HJ-biplot, an exploratory method that looks for hidden patterns in the data, obtained from the usual singular value decomposition (SVD of the data matrix, to contextualize the countries grouped by geographical areas and the variables relating to environmental indicators included in the environmental performance index. The sample used comprises 149 countries of different geographic areas. The findings obtained from the empirical analysis emphasize that socioeconomic factors, such as economic wealth and education, as well as institutional factors represented by the style of public administration, in particular control of corruption, are determinant factors of environmental performance in the countries analyzed. In contrast, no effect on environmental performance was found for factors relating to the internal characteristics of a country or political factors.

  1. Research priorities for rice pest management in tropical Asia: a simulation analysis of yield losses and management efficiencies.

    Science.gov (United States)

    Willocquet, Laetitia; Elazegui, Francisco A; Castilla, Nancy; Fernandez, Luzviminda; Fischer, Kenneth S; Peng, Shaobing; Teng, Paul S; Srivastava, R K; Singh, H M; Zhu, Defeng; Savary, Serge

    2004-07-01

    ABSTRACT A simulation study was conducted to assess the current and prospective efficiency of rice pest management and develop research priorities for lowland production situations in tropical Asia. Simulation modeling with the RICEPEST model provided the flexibility required to address varying production situations and diverse pest profiles (bacterial leaf blight, sheath blight, brown spot, leaf blast, neck blast, sheath rot, white heads, dead hearts, brown plant-hoppers, insect defoliators, and weeds). Operational definitions for management efficacy (injury reduction) and management efficiency (yield gain) were developed. This approach enabled the modeling of scenarios pertaining to different pest management strategies within the agroecological contexts of rice production and their associated pest injuries. Rice pests could be classified into two broad research priority-setting categories with respect to simulated yield losses and management efficiencies. One group, including weeds, sheath blight, and brown spot, consists of pests for which effective pest management tools need to be developed. The second group consists of leaf blast, neck blast, bacterial leaf blight, and brown plant-hoppers, for which the efficiency of current management methods is to be maintained. Simulated yield losses in future production situations indicated that a new type of rice plant with high-harvest index and high-biomass production ("New Plant Type") was more vulnerable to pests than hybrid rice. Simulations also indicated that the impact of deployment of host resistance (e.g., through genetic engineering) was much larger when targeted against sheath blight than when targeted against stem borers. Simulated yield losses for combinations of production situations and injury profiles that dominate current lowland rice production in tropical Asia ranged from 140 to 230 g m(-2). For these combinations, the simulated efficiency of current pest management methods, expressed in terms of

  2. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis.

    Science.gov (United States)

    Strohacker, Kelley; Zakrajsek, Rebecca A

    2016-06-01

    Assessment of "exercise readiness" is a central component to the flexible non-linear periodization (FNLP) method of organizing training workloads, but the underlying factor structure of this construct has not been empirically determined. The purpose of this study was to assess construct dimensionality of exercise readiness using exploratory factor analysis. The result of which serve as initial steps of developing a brief measure of exercise readiness. Participants consisted of students recruited from undergraduate Kinesiology courses at a racially diverse, southern University. Independent, anonymous online survey data were collected across three stages: 1) generation of item pool (n = 290), 2) assessment of face validity and refinement of item pool (n = 168), and 3) exploratory factor analysis (n = 684). A principal axis factor analysis was conducted with 41 items using oblique rotation (promax). Four statistically significant factors, as determined through parallel analysis, explained 61.5% of the variance in exercise readiness. Factor 1 contained items that represented vitality (e.g., lively, revived). Factor 2 items related to physical fatigue (e.g. tired, drained). Factors 3 and 4 were descriptive of, discomfort (e.g. pain, sick) and health (i.e. healthy, fit), respectively. This inductive approach indicates that exercise readiness is comprised of four dimensions: vitality, physical fatigue, discomfort, and health. This finding supports readiness assessment techniques currently recommended for practitioners according to the FNLP model. These results serve as a theoretical foundation upon which to further develop and refine a brief survey instrument to measure exercise readiness. Key pointsAssessment of exercise readiness is a key component in implementing an exercise program based on flexible nonlinear periodization, but the dimensionality of this concept has not been empirically determined.Based on a series of surveys and a robust exploratory factor analysis

  3. ANALYSIS OF RISK FACTORS IN 3901 PATIENTS WITH STROKE

    Institute of Scientific and Technical Information of China (English)

    Xin-Feng Liu; Guy van Melle; Julien Bogousslavsky

    2005-01-01

    Objective To estimate the frequency of various risk factors for overall stroke and to identify risk factors for cerebral infarction (CI) versus intracerebral hemorrhage (ICH) in a large hospital-based stroke registry.Methods Data from a total of 3901 patients, consisting of 3525 patients with CI and 376 patients with ICH were prospectively coded and entered into a computerized data bank.Results Hypertension and smoking were the most prominent factors affecting overall stroke followed by mild internal carotid artery stenosis (< 50%), hypercholesterolemia, transient ischemic attacks (TIAs), diabetes mellitus, and cardiac ischemia. Univariate analysis showed that factors in male significantly associated with CI versus ICH were old age, a family history of stroke, and intermittent claudication; whereas in female the factors were oral contraception and migraine. By multivariate analysis, in all patients, the factors significantly associated with CI as opposed to ICH were smoking, hypercholesterolemia, migraine, TIAs, atrial fibrillation, structural heart disease, and arterial disease. Hypertension was the only significant factor related with ICH versus CI.Conclusions The factors for ischemic and hemorrhagic stroke are not exactly the same. Cardiac and arterial disease are the most powerful factors associated with CI rather than ICH.

  4. Analysis of effect factors-based stochastic network planning model

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Looking at all the indeterminate factors as a whole and regarding activity durations as independent random variables,the traditional stochastic network planning models ignore the inevitable relationship and dependence among activity durations when more than one activity is possibly affected by the same indeterminate factors.On this basis of analysis of indeterminate effect factors of durations,the effect factors-based stochastic network planning (EFBSNP) model is proposed,which emphasizes on the effects of not only logistic and organizational relationships,but also the dependent relationships,due to indeterminate factors among activity durations on the project period.By virtue of indeterminate factor analysis the model extracts and describes the quantitatively indeterminate effect factors,and then takes into account the indeterminate factors effect schedule by using the Monte Carlo simulation technique.The method is flexible enough to deal with effect factors and is coincident with practice.A software has been developed to simplify the model-based calculation,in VisualStudio.NET language.Finally,a case study is included to demonstrate the applicability of the proposed model and comparison is made with some advantages over the existing models.

  5. Transcriptome Analysis Suggests That Starch Synthesis May Proceed via Multiple Metabolic Routes in High Yielding Potato Cultivars

    DEFF Research Database (Denmark)

    Kaminski, Kacper Piotr; Høgh Petersen, Annabeth; Sønderkær, Mads

    2012-01-01

    Background: Glucose-6-phosphate is imported into the amyloplast of potato tubers and thought to constitute the precursor for starch synthesis in potato tubers. However, recently it was shown that glucose-1-phosphate can also be imported into the amyloplast and incorporated into starch via an ATP...... independent mechanism under special conditions. Nonetheless, glucose 6-phosphate is believed to be the quantitatively important precursor for starch synthesis in potato. Principal Finding: Potato tubers of the high yielding cv Kuras had low gene expression of plastidial phophoglucomutase (PGM) and normal...... to expectations, this combination lead to a higher level of intracellular glucose-1-phosphate (G1P) in Kuras suggesting that G1P is directly imported into plastids and can be quantitatively important for starch synthesis under normal conditions in high yielding cultivars. Significance: This could open entirely...

  6. Genetic Analysis of Protein Yield, Udder Health, and Female Fertility in First-Parity Danish Holstein Cows

    DEFF Research Database (Denmark)

    Buch, L H; Norberg, E

    2008-01-01

    Genetic parameters for protein yield, clinical mastitis, SCS, number of inseminations (NI), and days from first to last insemination (FLI) were estimated for first-parity Danish Holstein cows. The objective was to estimate genetic correlations between the five traits mentioned above and to study...... whether NI and FLI are measures of the same trait. Records containing information on approximately 200 000 cows were analysed using tri-variate animal models. The genetic correlations between the udder health traits and the fertility traits were favourable and in the range from 0.17 to 0.42, whereas...... the genetic correlations between protein yield and the fertility traits were unfavourable and ranged from 0.43 to 0.52. These results highlight the importance of continuing to emphasize functional traits in future breeding programmes. The genetic correlation between the fertility traits was 0.82. Based...

  7. Photolysis quantum yield measurements in the near-UV; a critical analysis of 1-(2-nitrophenyl)ethyl photochemistry.

    Science.gov (United States)

    Corrie, John E T; Kaplan, Jack H; Forbush, Biff; Ogden, David C; Trentham, David R

    2016-05-11

    The photolysis quantum yield, Qp, of 1-(2-nitrophenyl)ethyl phosphate (caged Pi) measured in the near-UV (342 nm peak with 60 nm half-bandwidth) is 0.53 and is based on results reported in 1978 (Biochemistry, 17, 1929-1935). This article amplifies methodology for determining that Qp in view of different recent estimates. Some general principles together with other examples relating to measurement of Qp values are discussed together with their relevance to biological research.

  8. Foot-and-mouth disease and its effect on milk yield: an economic analysis on livestock holders in Pakistan.

    Science.gov (United States)

    Ferrari, G; Tasciotti, L; Khan, E; Kiani, A

    2014-12-01

    A longitudinal study has been conducted in the provinces of Sindh, Punjab and Islamabad Capital Territory area, Pakistan, to evaluate the impact of foot-and-mouth disease on milk yield in a sample of farmers owning cattle and buffaloes. The sample consisted of 50 farms where the presence of foot-and-mouth disease (FMD) virus was initially suspected on the basis of clinical signs and subsequently confirmed through either a field test or laboratory confirmation. In each farm, the total number of clinical cases was registered, and clinically diseased milking cattle and buffaloes were followed up for the next 60 days from the onset of clinical signs and the amount of milk yield measured. The average milk yield, estimated to be around 10 l per animal before the onset of FMD, decreased significantly in the 2 months following the onset of acute clinical disease. The loss of milk production in the 60 days following the onset of clinical signs was estimated to be around 220 and 201 l for cattle and buffaloes, respectively. Under the assumption that the administration of a good-quality vaccine matching circulating FMD strains could protect against clinical disease, the benefit/cost ratio for having all animals vaccinated in all 50 farms was estimated to be 5.7.

  9. Statistical hadronization model analysis of hadron yields in p + Nb and Ar + KCl at SIS18 energies

    Science.gov (United States)

    Agakishiev, G.; Arnold, O.; Balanda, A.; Belver, D.; Belyaev, A.; Berger-Chen, J. C.; Blanco, A.; Böhmer, M.; Boyard, J. L.; Cabanelas, P.; Castro, E.; Chernenko, S.; Destefanis, M.; Dohrmann, F.; Dybczak, A.; Epple, E.; Fabbietti, L.; Fateev, O.; Finocchiaro, P.; Fonte, P.; Friese, J.; Fröhlich, I.; Galatyuk, T.; Garzón, J. A.; Gernhäuser, R.; Gilardi, C.; Göbel, K.; Golubeva, M.; González-Díaz, D.; Guber, F.; Gumberidze, M.; Heinz, T.; Hennino, T.; Holzmann, R.; Ierusalimov, A.; Iori, I.; Ivashkin, A.; Jurkovic, M.; Kämpfer, B.; Karavicheva, T.; Koenig, I.; Koenig, W.; Kolb, B. W.; Kornakov, G.; Kotte, R.; Krása, A.; Krizek, F.; Krücken, R.; Kuc, H.; Kühn, W.; Kugler, A.; Kurepin, A.; Ladygin, V.; Lalik, R.; Lange, J. S.; Lang, S.; Lapidus, K.; Lebedev, A.; Liu, T.; Lopes, L.; Lorenz, M.; Maier, L.; Mangiarotti, A.; Markert, J.; Metag, V.; Michalska, B.; Mihaylov, D.; Michel, J.; Morinière, E.; Mousa, J.; Müntz, C.; Münzer, R.; Naumann, L.; Pachmayer, Y. C.; Palka, M.; Parpottas, Y.; Pechenov, V.; Pechenova, O.; Pietraszko, J.; Przygoda, W.; Ramstein, B.; Rehnisch, L.; Reshetin, A.; Rustamov, A.; Sadovsky, A.; Salabura, P.; Scheib, T.; Schmah, A.; Schuldes, H.; Schwab, E.; Siebenson, J.; Sobolev, Yu. G.; Spataro, S.; Spruck, B.; Ströbele, H.; Stroth, J.; Sturm, C.; Tarantola, A.; Teilab, K.; Tlusty, P.; Traxler, M.; Trebacz, R.; Tsertos, H.; Vasiliev, T.; Wagner, V.; Weber, M.; Wendisch, C.; Wirth, J.; Wisniowski, M.; Wüstenfeld, J.; Yurevich, S.; Zanevsky, Y.

    2016-06-01

    The HADES data from p + Nb collisions at a center-of-mass energy of √{s_{NN}} = 3.2 GeV are analyzed employing a statistical hadronization model. The model can successfully describe the production yields of the identified hadrons π0, η, Λ, K 0 s, ω with parameters T_{chem} = (99± 11) MeV and μb = (619± 34) MeV, which fit well into the chemical freeze-out systematics found in heavy-ion collisions. In addition, we reanalyze our previous HADES data from Ar + KCl collisions at √{s_{NN}} = 2.6 GeV with an updated version of the model. We address equilibration in heavy-ion collisions by testing two aspects: the description of yields and the regularity of freeze-out parameters from a statistical model fit as a function of colliding energy and system size. Despite its success, the model fails to describe the observed Ξ- yields in both, p + Nb and Ar + KCl . Special emphasis is put on feed-down contributions from higher-lying resonance states as a possible explanation for the observed excess.

  10. Genetic Analysis of Carbon Isotope Discrimination and its Relation to Yield in a Wheat Doubled Haploid Population

    Institute of Scientific and Technical Information of China (English)

    Xianshan Wu; Xiaoping Chang; Ruilian Jing

    2011-01-01

    Carbon isotope discrimination (△13C) is considered a useful indicator for indirect selection of grain yield (GY) in cereals.Therefore,it is important to evaluate the genetic variation in △13C and its relationship with GY.A doubled haploid (DH) population derived from a cross of two common wheat varieties,Hanxuan 10 (H10) and Lumai 14 (L14),was phenotyped for △13C in the flag leaf,GY and yield associated traits in two trials contrasted by water availability,specifically,rain-fed and irrigated.Quantitative trait loci (QTLs) were identified by single locus and two locus QTL analyses.QTLs for △13C were located on chromosomes 1A,2B,3B,5A,7A and 7B,and QTLs for other traits on all chromosomes except 1A,4D,5A,5B and 6D.The population selected for high △13C had an increased frequency of QTL for high △13C,GY and number of spikes per plant (NSP) when grown under rain-fed conditions and only for high △13C and NSP when grown under irrigated conditions,which was consistent with agronomic performance of the corresponding trait values in the high △13C progeny; that is,significantly greater than that in the low △13C.Therefore,selection for △13C was beneficial in increasing grain yield in rain-fed environments.

  11. Genotype-environment interaction and analysis of yield stability in trial with tomato crop in drought condition

    Directory of Open Access Journals (Sweden)

    Tony Boicet Fabre

    2016-02-01

    Full Text Available The present work was developed in the UBPC “The Coast”, belonging to the Miscellaneous Crops Enterprise of Campechuela municipality, Granma province, during the period from November to March of the year 2010 – 2011. It was carried out in a reddish brown fersialitic soil, according with the new genetic classification of the soils of Cuba MINAGRI, (2000, with the objective of studying and evaluating the influence of different organic fertilizers in the growth, development and yield in the cultivation of onion, variety Texas Early Grain. For this reason it was necessary to work on blocks with 4 treatments and 4 replies. The treatments applied were: treatment 1 (vermicompost, treatment 2 (cow dung, treatment 3 (cachaça and treatment 4 (control, those were applied in a solid way. The growth variables that were evaluated were number of leaves, height of the plant, equatorial diameter, polar diameter and fresh weight of the bulb. The yield was also evaluated in t.ha -1 per treatment. High yields are achieved with the application of organic fertilizer, among 27 and 30 t.ha -1, this is an alternative for the sustainable production of this product which is highly demanded by the population.

  12. Evaluation and Bulked Segregant Analysis of Major Yield QTL qtl12.1 Introgressed into Indigenous Elite Line for Low Water Availability under Water Stress

    Institute of Scientific and Technical Information of China (English)

    N.Manikanda BOOPATHI; Gat SWAPNASHRI; P.KAVITHA; S.SATHISH; R.NITHYA; Wickneswari RATNAM; Arvind KUMAR

    2013-01-01

    Near isogenic lines carrying large-effect QTL (qtl12.1),which has a consistent influence on grain yield under upland drought stress conditions in a wide range of environments,were evaluated under water stress in the fields.The line which gave higher yield under drought was crossed with a local elite line,PMK3,and forwarded to F2:3 generation.Significant variation was found among the F2:3 lines for agronomic traits under water stress in the fields.Low to high broad sense heritability (H) for investigated traits was also found.Water stress indicators such as leaf rolling and leaf drying were negatively correlated with plant height,biomass and grain yield under stress.Bulked segregant analysis (BSA) was performed with the markers in the vicinity of qtl12.1,and RM27933 was found to be segregated perfectly well in individual components of drought resistant and drought susceptible bulks which were bulked based on yield under water stress among F2:3 lines.Hence,this simple and breeder friendly marker,RM27933,may be useful as a potentially valuable candidate marker for the transfer of the QTL qtl12.1 in the regional breeding program.Bioinformatic analysis of the DNA sequence of the qtl12.1 region was also done to identify and analyze positional candidate genes associated with this QTL and to ascertain the putative molecular basis of qtl12.1.

  13. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, P.K.

    1981-01-01

    The approach to classical factor analysis described in this paper, i.e. doing the analysis for varying numbers of factors without prior assumptions to the number of factors, prevents one from getting eroneous results by inherent computer code assumptions. Identification of a factor containing most of the variance of one variable with little variance of other variables, pinpoints a possible difficulty in the data, if the singularity has no obvious physical significance. Examination of the factor scores will determine whether the problem is isolated to a few samples or over all the samples. Having this information, one may then go back to the raw data and take the appropriate corrective action. Classical factor analysis has the ability to identify several types of errors in data after it has been generated. It is then ideally suited for scanning large data sets. The ease of the identification technique makes it a beneficial tool to use before reduction and analysis of large data sets and should, in the long run, save time and effort.

  14. Biological risk factors for suicidal behaviors: a meta-analysis.

    Science.gov (United States)

    Chang, B P; Franklin, J C; Ribeiro, J D; Fox, K R; Bentley, K H; Kleiman, E M; Nock, M K

    2016-09-13

    Prior studies have proposed a wide range of potential biological risk factors for future suicidal behaviors. Although strong evidence exists for biological correlates of suicidal behaviors, it remains unclear if these correlates are also risk factors for suicidal behaviors. We performed a meta-analysis to integrate the existing literature on biological risk factors for suicidal behaviors and to determine their statistical significance. We conducted a systematic search of PubMed, PsycInfo and Google Scholar for studies that used a biological factor to predict either suicide attempt or death by suicide. Inclusion criteria included studies with at least one longitudinal analysis using a biological factor to predict either of these outcomes in any population through 2015. From an initial screen of 2541 studies we identified 94 cases. Random effects models were used for both meta-analyses and meta-regression. The combined effect of biological factors produced statistically significant but relatively weak prediction of suicide attempts (weighted mean odds ratio (wOR)=1.41; CI: 1.09-1.81) and suicide death (wOR=1.28; CI: 1.13-1.45). After accounting for publication bias, prediction was nonsignificant for both suicide attempts and suicide death. Only two factors remained significant after accounting for publication bias-cytokines (wOR=2.87; CI: 1.40-5.93) and low levels of fish oil nutrients (wOR=1.09; CI: 1.01-1.19). Our meta-analysis revealed that currently known biological factors are weak predictors of future suicidal behaviors. This conclusion should be interpreted within the context of the limitations of the existing literature, including long follow-up intervals and a lack of tests of interactions with other risk factors. Future studies addressing these limitations may more effectively test for potential biological risk factors.

  15. Risk Factors Leading to Free Flap Failure: Analysis From the National Surgical Quality Improvement Program Database.

    Science.gov (United States)

    Sanati-Mehrizy, Paymon; Massenburg, Benjamin B; Rozehnal, John M; Ingargiola, Michael J; Hernandez Rosa, Jonatan; Taub, Peter J

    2016-11-01

    The objective of this study was to identify risk factors for free flap failure among various anatomically based free flap subgroups. The 2005 to 2012 American College of Surgeons National Surgical Quality Improvement Program database was queried for patients undergoing microvascular free tissue transfer based on current procedural terminology codes. Univariate analysis was performed to identify any association between flap failure and the following factors: age, gender, race, body mass index (BMI), diabetes, smoking, alcohol use, hypertension, intraoperative transfusion, functional health status, American Society of Anesthesiologists class, operative time, and flap location. Factors yielding a significance of P free flap reconstruction met inclusion criteria. Multivariate logistic regression identified BMI (adjusted odds ratio [AOR] = 1.07, P = 0.004) and male gender (AOR = 2.16, P = 0.033) as independent risk factors for flap failure. Among the "breast flaps" subgroup, BMI (AOR = 1.075, P = 0.012) and smoking (AOR = 3.35, P = 0.02) were independent variables associated with flap failure. In "head and neck flaps," operative time (AOR = 1.003, P = 0.018) was an independent risk factor for flap failure. No independent risk factors were identified for the "extremity flaps" or "trunk flaps" subtypes. BMI, smoking, and operative time were identified as independent risk factors for free flap failure among all flaps or within flap subsets.

  16. 论高强度钢压杆稳定计算中的屈服强度因数%Discussion on the Yield Strength Factor in the Stability Calculation of High-Strength Steel Struts

    Institute of Scientific and Technical Information of China (English)

    陈绍蕃; 申红侠

    2011-01-01

    The regulations regarding strut stability calculation in the current code for design of steel structures (GB50017-2003) are based on Q235 steel and a factor of yield strength ξ= (fy/234) is introduced to take care of high-strength struts. But,use of this factor has been in many instances overly simplified,so that the capacity of high-strength struts can not be fully developed. Comprehensive analysis has shown that,for members of medium and large slenderness, only part of the limiting width-thickness ratios need to be linked with the ξ factor. In this analysis two criteria have been adopted in combination and the influence of members' initial crookedness taken into account. The investigation of the shear force in the open-web compression members reveals that the factor ξ in Formula (5. 1. 6) of the current code could be deleted. Moreover, when single angle struts connected by one leg at the ends are treated as axially compressed members,their equivalent slenderness may be multiplied by the factor ξ only in part.%《钢结构设计规范》(GB 50017-2003)关于压杆稳定计算的规定一般以Q235钢为基础,并通过引入屈服强度因数ξ=(√fy/235)使其适用于高强度钢压杆.但是,这一因数的运用在很多情况下过于简单化,致使高强度钢压杆承载潜力不能充分发挥.本文对轴压构件的板件进行的综合分析表明,中等和大长细比构件的板件宽厚比限值只有一部分需要和因数ξ挂钩.此项分析同时采取了两种准则,并考虑了构件初弯曲的影响.格构式轴压构件剪力分析表明,现行规范的公式(5.1.6)的因数ξ可以删去.此外,单边连接的单角钢压杆简化为轴压构件时,等效长细比只要部分乘以因数ξ即可.

  17. Classification of ECG signals using LDA with factor analysis method as feature reduction technique.

    Science.gov (United States)

    Kaur, Manpreet; Arora, A S

    2012-11-01

    The analysis of ECG signal, especially the QRS complex as the most characteristic wave in ECG, is a widely accepted approach to study and to classify cardiac dysfunctions. In this paper, first wavelet coefficients calculated for QRS complex are taken as features. Next, factor analysis procedures without rotation and with orthogonal rotation (varimax, equimax and quartimax) are used for feature reduction. The procedure uses the 'Principal Component Method' to estimate component loadings. Further, classification has been done with a LDA classifier. The MIT-BIH arrhythmia database is used and five types of beats (normal, PVC, paced, LBBB and RBBB) are considered for analysis. Accuracy, sensitivity and positive predictivity are performance parameters used for comparing performance of feature reduction techniques. Results demonstrate that the equimax rotation method yields maximum average accuracy of 99.056% for unknown data sets among other used methods.

  18. Retinopathy risk factors in type II diabetic patients using factor analysis and discriminant analysis

    OpenAIRE

    Tazhibi, Mahdi; Sarrafzade, Sheida; Amini, Masoud

    2014-01-01

    Introduction: Diabetes is one of the most common chronic diseases in the world. Incidence and prevalence of diabetes are increasing in developing countries as well as in Iran. Retinopathy is the most common chronic disorder in diabetic patients. Materials and Methods: In this study, we used the information of diabetic patients’ reports that refer to endocrine and metabolism research center of Isfahan University of Medical Sciences to determine diabetic retinopathy risk factors. We used factor...

  19. A meta-analysis of relative crop yields in cereal/legume mixtures suggests options for management

    NARCIS (Netherlands)

    Yu, Yang; Stomph, Tjeerd-Jan; Makowski, David; Zhang, Lizhen; Werf, van der Wopke

    2016-01-01

    Intercrops of cereals and legumes are grown worldwide, both in smallholder agriculture in developing countries and in organic farming systems in developed countries. The competitive balance between species is a key factor determining productivity in mixtures. Management factors, e.g. sowing time,

  20. Biomass yield and energy analysis of soybean production in relation to fertilizer-NPK and organic manure

    Energy Technology Data Exchange (ETDEWEB)

    Mandal, K.G.; Hati, K.M.; Misra, A.K. [Division of Soil Physics, Indian Institute of Soil Science (ICAR), Nabibagh, Berasia Road, Bhopal 462 038, Madhya Pradesh (India)

    2009-12-15

    The study attempts to quantify the root biomass and density, nodulation, crop biomass and grain yield of soybean, to analyze crop growth and energy (renewable and non-renewable) inputs in relation to fertilizer-NPK and organic manure. Observations were recorded from soybean grown with no fertilizer, NPK and NPK + FYM (farmyard manure). The root biomass (BM{sub root}) increased significantly with NPK + FYM compared to NPK and control. The trend of BM{sub root} was best fitted with a third order polynomial. Root length density was higher in NPK + FYM. Biomass of stem, petiole and leaf were significantly greater in NPK + FYM than other treatments, relative contribution to total biomass at physiological maturity were stem 29%, petiole 9%, leaf 17% and pod 46%; quadratic regression models best represented the stem, petiole and leaf biomass data. A maximum LAI of 4.88, total biomass of 633 g m{sup -2} at maturity, CGR of 18.4 g m{sup -2} d{sup -1} were recorded in NPK + FYM. Grain yields increased by 72.5 and 98.5%, and stover yields by 56.0 and 94.8% in NPK and NPK + FYM, respectively over control. Though the total energy input in NPK + FYM was greater than those in NPK and control, the share of renewable energy was much higher with greater net energy output and non-renewable energy productivity in NPK + FYM than NPK. The use efficiency of non-renewable energy was also higher in NPF + FYM. Thus, a combination of NPK-fertilizer and organic manure (FYM) could be the viable nutrient management option for soybean production. (author)

  1. ttH, H {yields} WW{sup (*)} analysis at Atlas, LHC and Very Low Energy electron studies of 2004 combined test beam; Analyse ttH,H {yields} WW{sup (*)} avec ATLAS au LHC et etude des electron a tres basses energie dans le test faisceau combine 2004

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, H

    2008-06-15

    The Large Hadron Collider(LHC) at CERN is a proton-proton collider with a designed center of mass energy of 14 TeV. ATLAS is a general purpose particle detector located at one of the colliding point of the LHC. Using ATLAS Computing System Commissioning (CSC) Monte Carlo full simulation data of the tt-bar H, H {yields} WW{sup *} channel, this thesis studies the feasibility of measuring top-quark Yukawa Coupling up to 30 fb{sup -1} integrated luminosity, within the intermediate Higgs mass range from 120 to 200 GeV. For the first time, trigger, pileup effects as well as all possible systematic uncertainties are extensively studied. For a Higgs mass of 160 GeV, with the detailed systematics uncertainties studied, the signal significance is shown to exceed 2{sigma} by combining 2 leptons and 3 leptons final states together. The combined branching ratio of {sigma}{sub tt}-bar{sub H}*BR{sub H{yields}WW{sup (*)}} can reach an accuracy of 47%, and gives important information on the top quark Yukawa Coupling. This is the first study of the tt-bar H, H {yields} WW{sup *} channel based on full simulation data, including a complete and detailed study of the systematic uncertainties. The most difficult part of the tt-bar H, H {yields} WW{sup *} analysis is to extract signal from an abundant background since the total cross section of signal is only 0.1% of the main background. Moreover, signals have a complex final state of at least 4 jets, 2 leptons, 2 neutrinos, making the Higgs mass reconstruction very difficult. Lepton isolation is one of the most powerful method to suppress reducible backgrounds. This thesis develops a special Cone Isolation procedure, which suppress by a factor 5 the main tt-bar background. Lepton energy scale uncertainty is one of the important systematics for the tt-bar H, H {yields} WW{sup *} analysis. A good linearity of Very Low Energy (VLE) electrons can improve the performance of estimating electron energy scale. The second part of this thesis

  2. Quantitative analysis of relationships between irradiation parameters and the reproducibility of cyclotron-produced (99m)Tc yields.

    Science.gov (United States)

    Tanguay, J; Hou, X; Buckley, K; Schaffer, P; Bénard, F; Ruth, T J; Celler, A

    2015-05-21

    Cyclotron production of (99m)Tc through the (100)Mo(p,2n) (99m)Tc reaction channel is actively being investigated as an alternative to reactor-based (99)Mo generation by nuclear fission of (235)U. An exciting aspect of this approach is that it can be implemented using currently-existing cyclotron infrastructure to supplement, or potentially replace, conventional (99m)Tc production methods that are based on aging and increasingly unreliable nuclear reactors. Successful implementation will require consistent production of large quantities of high-radionuclidic-purity (99m)Tc. However, variations in proton beam currents and the thickness and isotopic composition of enriched (100)Mo targets, in addition to other irradiation parameters, may degrade reproducibility of both radionuclidic purity and absolute (99m)Tc yields. The purpose of this article is to present a method for quantifying relationships between random variations in production parameters, including (100)Mo target thicknesses and proton beam currents, and reproducibility of absolute (99m)Tc yields (defined as the end of bombardment (EOB) (99m)Tc activity). Using the concepts of linear error propagation and the theory of stochastic point processes, we derive a mathematical expression that quantifies the influence of variations in various irradiation parameters on yield reproducibility, quantified in terms of the coefficient of variation of the EOB (99m)Tc activity. The utility of the developed formalism is demonstrated with an example. We show that achieving less than 20% variability in (99m)Tc yields will require highly-reproducible target thicknesses and proton currents. These results are related to the service rate which is defined as the percentage of (99m)Tc production runs that meet the minimum daily requirement of one (or many) nuclear medicine departments. For example, we show that achieving service rates of 84.0%, 97.5% and 99.9% with 20% variations in target thicknesses requires producing on average

  3. Association Analysis of SSR Markers with Phenology, Grain, and Stover-Yield Related Traits in Pearl Millet (Pennisetum glaucum (L. R. Br.

    Directory of Open Access Journals (Sweden)

    Baskaran Kannan

    2014-01-01

    Full Text Available Pearl millet is a staple food crop for millions of people living in the arid and semi-arid tropics. Molecular markers have been used to identify genomic regions linked to traits of interest by conventional QTL mapping and association analysis. Phenotypic recurrent selection is known to increase frequencies of favorable alleles and decrease those unfavorable for the traits under selection. This study was undertaken (i to quantify the response to recurrent selection for phenotypic traits during breeding of the pearl millet open-pollinated cultivar “CO (Cu 9” and its four immediate progenitor populations and (ii to assess the ability of simple sequence repeat (SSR marker alleles to identify genomic regions linked to grain and stover yield-related traits in these populations by association analysis. A total of 159 SSR alleles were detected across 34 selected single-copy SSR loci. SSR marker data revealed presence of subpopulations. Association analysis identified genomic regions associated with flowering time located on linkage group (LG 6 and plant height on LG4, LG6, and LG7. Marker alleles on LG6 were associated with stover yield, and those on LG7 were associated with grain yield. Findings of this study would give an opportunity to develop marker-assisted recurrent selection (MARS or marker-assisted population improvement (MAPI strategies to increase the rate of gain for pearl millet populations undergoing recurrent selection.

  4. Personality and coping traits: A joint factor analysis.

    Science.gov (United States)

    Ferguson, Eamonn

    2001-11-01

    OBJECTIVES: The main objective of this paper is to explore the structural similarities between Eysenck's model of personality and the dimensions of the dispositional COPE. Costa et al. {Costa P., Somerfield, M., & McCrae, R. (1996). Personality and coping: A reconceptualisation. In (pp. 44-61) Handbook of coping: Theory, research and applications. New York: Wiley} suggest that personality and coping behaviour are part of a continuum based on adaptation. If this is the case, there should be structural similarities between measures of personality and coping behaviour. This is tested using a joint factor analysis of personality and coping measures. DESIGN: Cross-sectional survey. METHODS: The EPQ-R and the dispositional COPE were administered to 154 participants, and the data were analysed using joint factor analysis and bivariate associations. RESULTS: The joint factor analysis indicated that these data were best explained by a four-factor model. One factor was primarily unrelated to personality. There was a COPE-neurotic-introvert factor (NI-COPE) containing coping behaviours such as denial, a COPE-extroversion (E-COPE) factor containing behaviours such as seeking social support and a COPE-psychoticism factor (P-COPE) containing behaviours such as alcohol use. This factor pattern, especially for NI- and E-COPE, was interpreted in terms of Gray's model of personality {Gray, J. A. (1987) The psychology of fear and stress. Cambridge: Cambridge University Press}. NI-, E-, and P-COPE were shown to be related, in a theoretically consistent manner, to perceived coping success and perceived coping functions. CONCLUSIONS: The results indicate that there are indeed conceptual links between models of personality and coping. It is argued that future research should focus on identifying coping 'trait complexes'. Implications for practice are discussed.

  5. Emotional experiences and motivating factors associated with fingerprint analysis.

    Science.gov (United States)

    Charlton, David; Fraser-Mackenzie, Peter A F; Dror, Itiel E

    2010-03-01

    In this study, we investigated the emotional and motivational factors involved in fingerprint analysis in day-to-day routine case work and in significant and harrowing criminal investigations. Thematic analysis was performed on interviews with 13 experienced fingerprint examiners from a variety of law enforcement agencies. The data revealed factors relating to job satisfaction and the use of skill. Individual satisfaction related to catching criminals was observed; this was most notable in solving high profile, serious, or long-running cases. There were positive emotional effects associated with matching fingerprints and apparent fear of making errors. Finally, we found evidence for a need of cognitive closure in fingerprint examiner decision-making.

  6. Unascertained Factor Method of Dynamic Characteristic Analysis for Antenna Structures

    Institute of Scientific and Technical Information of China (English)

    ZHU Zeng-qing; LIANG Zhen-tao; CHEN Jian-jun

    2008-01-01

    The dynamic characteristic analysis model of antenna structures is built, in which the structural physical parameters and geometrical dimensions are all considered as unascertained variables, And a structure dynamic characteristic analysis method based on the unascertained factor method is given. The computational expression of structural characteristic is developed by the mathematics expression of unascertained factor and the principles of unascertained rational numbers arithmetic. An example is given, in which the possible values and confidence degrees of the unascertained structure characteristics are obtained. The calculated results show that the method is feasible and effective.

  7. Using Factor Analysis to Identify Topic Preferences Within MBA Courses

    Directory of Open Access Journals (Sweden)

    Earl Chrysler

    2003-02-01

    Full Text Available This study demonstrates the role of a principal components factor analysis in conducting a gap analysis as to the desired characteristics of business alumni. Typically, gap analyses merely compare the emphases that should be given to areas of inquiry with perceptions of actual emphases. As a result, the focus is upon depth of coverage. A neglected area in need of investigation is the breadth of topic dimensions and their differences between the normative (should offer and the descriptive (actually offer. The implications of factor structures, as well as traditional gap analyses, are developed and discussed in the context of outcomes assessment.

  8. Confirmatory Factor Analysis of the Procrastination Assessment Scale for Students

    Directory of Open Access Journals (Sweden)

    Ronald D. Yockey

    2015-10-01

    Full Text Available The relative fit of one- and two-factor models of the Procrastination Assessment Scale for Students (PASS was investigated using confirmatory factor analysis on an ethnically diverse sample of 345 participants. The results indicated that although the two-factor model provided better fit to the data than the one-factor model, neither model provided optimal fit. However, a two-factor model which accounted for common item theme pairs used by Solomon and Rothblum in the creation of the scale provided good fit to the data. In addition, a significant difference by ethnicity was also found on the fear of failure subscale of the PASS, with Whites having significantly lower scores than Asian Americans or Latino/as. Implications of the results are discussed and recommendations made for future work with the scale.

  9. Analysis of Factors Influencing Farmers’ Identification of Entrepreneurial Opportunity

    Institute of Scientific and Technical Information of China (English)

    Jing; GAO; Fang; YANG

    2013-01-01

    Based on the survey data of entrepreneurship concerning farmers in China,this article uses the multivariate adjustment regression analysis method,to analyze the factors influencing farmers’ identification of entrepreneurial opportunity and the mechanism. The results show that demographic characteristics are still an important factor influencing farmers’ identification of entrepreneurial opportunity,but the extent of its influence is weaker than entrepreneurs’ trait. The new trait theory is verified in farmers’ entrepreneurship opportunity behavior; entrepreneurship environment is becoming an important factor influencing entrepreneurial opportunity identification,whose regulation effect on entrepreneurs’ social network and previous experience is stronger than the regulation effect on entrepreneurs’ psychological trait.

  10. Genetic analysis to identify good combiners for ToLCV resistance and yield components in tomato using interspecific hybridization

    Indian Academy of Sciences (India)

    Ramesh K. Singh; N. Rai; Major Singh; S. N. Singh; K. Srivastava

    2014-12-01

    The interspecific hybridization for tomato leaf curl virus (ToLCV) resistance was carried out among 10 genetically diverse tomato genotypes (diversified by 50 SSR markers). Among the 10 parents, four susceptible cultivars of Solanum lycopersicum were crossed with six resistant wilds, such as S. pimpinellifolium, S. habrochaites, S. chemielewskii, S. ceraseforme, S. peruvianum and S. chilense in a line × tester mating design. All the 24 hybrids and their parents were grown in the field and glasshouse conditions to determine the general-combining abilities (GCA) and specific-combining abilities (SCA). The variances due to SCA and GCA showed both additive and nonadditive gene effects. Based on GCA estimates, EC-520061 and WIR-5032 were good general combiners while based on SCA estimates, PBC × EC-520061 and PBC × EC-521080 were best specific combiners for coefficient of infection and fruit yield per plant in both the environments. These lines could be selected and utilized in ToLCV resistance and high yield breeding programme for improving the traits.

  11. Continuous Glucose Monitoring Analysis as Predictor of Islet Yield and Insulin Requirements in Autologous Islet Transplantation After Complete Pancreatectomy

    Science.gov (United States)

    Georgiev, George Ivanov; Cercone, Renee; Tiwari, Mukesh; Rilo, Horacio L. R.

    2014-01-01

    We analyzed the pretransplant continuous glucose monitoring (CGM) data of 45 patients that underwent total pancreatectomy followed by autologous islet transplantation (AIT) at the University of Arizona Medical Center. Traditional and novel metrics of CGM time series were correlated to the total islet count (TIC), islet equivalents (IEQs), and weight-normalized IEQs (IEQ/kg). In a subset cohort (n = 26) we analyzed the relationship among the infused number of islets, the CGM indicators, and the first recorded insulin requirement after the procedure. We conclude that receiving a high islet yield is sufficient yet not necessary to achieve low or null insulin requirements within the first 50 days after surgery. Furthermore, CGM inertia and CGM length of curve (2 novel CGM indicators) are shown to be correlated to islet yield, and the CGMs normalized area (Ao) and time ratio above hyperglycemic level (To) are strongly correlated to insulin requirement. A screening test based on To is shown to have 100% sensitivity and 88% specificity discriminating insulin independence upon discharge. PMID:25190081

  12. Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods.

    Science.gov (United States)

    Sousa, L B; Hamawaki, O T; Nogueira, A P O; Batista, R O; Oliveira, V M; Hamawaki, R L

    2015-10-19

    In the final phases of new soybean cultivar development, lines are cultivated in several locations across multiple seasons with the intention of identifying and selecting superior genotypes for quantitative traits. In this context, this study aimed to study the genotype-by-environment interaction for the trait grain yield (kg/ha), and to evaluate the adaptability and stability of early-cycle soybean genotypes using the additive main effects and multiplicative interaction (AMMI) analysis, genotype main effects and genotype x environment interaction (GGE) biplot, and factor analysis methods. Additionally, the efficiency of these methods was compared. The experiments were carried out in five cities in the State of Mato Grosso: Alto Taquari, Lucas do Rio Verde, Sinop, Querência, and Rondonópolis, in the 2011/2012 and 2012/2013 seasons. Twenty-seven early-cycle soybean genotypes were evaluated, consisting of 22 lines developed by Universidade Federal de Uberlândia (UFU) soybean breeding program, and five controls: UFUS Carajás, MSOY 6101, MSOY 7211, UFUS Guarani, and Riqueza. Significant and complex genotype-by-environment interactions were observed. The AMMI model presented greater efficiency by retaining most of the variation in the first two main components (61.46%), followed by the GGE biplot model (57.90%), and factor analysis (54.12%). Environmental clustering among the methodologies was similar, and was composed of one environmental group from one location but from different seasons. Genotype G5 presented an elevated grain yield, and high adaptability and stability as determined by the AMMI, factor analysis, and GGE biplot methodologies.

  13. A factor analysis to find critical success factors in retail brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

    Full Text Available The present exploratory study aims to find critical components of retail brand among some retail stores. The study seeks to build a brand name in retail level and looks to find important factors affecting it. Customer behavior is largely influenced when the first retail customer experience is formed. These factors have direct impacts on customer experience and satisfaction in retail industry. The proposed study performs an empirical investigation on two well-known retain stores located in city of Tehran, Iran. Using a sample of 265 people from regular customers, the study uses factor analysis and extracts four main factors including related brand, product benefits, customer welfare strategy and corporate profits using the existing 31 factors in the literature.

  14. Ranking insurance firms using AHP and Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mohammad Khodaei Valahzaghard

    2013-03-01

    Full Text Available Insurance industry includes a significant part of economy and it is important to learn more about the capabilities of different firms, which are active in this industry. In this paper, we present an empirical study to rank the insurance firms using analytical hierarchy process as well as factor analysis. The study considers four criteria including capital adequacy, quality of earning, quality of cash flow and quality of firms’ assets. The results of the implementation of factor analysis (FA have been verified using Kaiser-Meyer-Olkin (KMO=0.573 and Bartlett's Chi-Square (443.267 P-value=0.000 tests. According to the results FA, the first important factor, capital adequacy, represents 21.557% of total variance, the second factor, quality of income, represents 20.958% of total variance. In addition, the third factor, quality of cash flow, represents 19.417% of total variance and the last factor, quality of assets, represents 18.641% of total variance. The study has also used analytical hierarchy process (AHP to rank insurance firms. The results of our survey indicate that capital adequacy (0.559 is accounted as the most important factor followed by quality of income (0.235, quality of cash flow (0.144 and quality of assets (0.061. The results of AHP are consistent with the results of FA, which somewhat validates the overall study.

  15. Workplace Innovation: Exploratory and Confirmatory Factor Analysis for Construct Validation

    Directory of Open Access Journals (Sweden)

    Wipulanusat Warit

    2017-06-01

    Full Text Available Workplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA and confirmatory factor analysis (CFA. EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96. Both factors showed good reliability of the scale (Individual creativity: α = 0.83, CR = 0.86, and AVE = 0.62; Team Innovation: α = 0.82, CR = 0.88, and AVE = 0.61. These results confirm that the two factors extracted for characterising workplace innovation included individual creativity and team innovation.

  16. Analysis of plug-in hybrid electric vehicle utility factors

    Science.gov (United States)

    Bradley, Thomas H.; Quinn, Casey W.

    Plug-in hybrid electric vehicles (PHEVs) are hybrid electric vehicles that can be fueled from both conventional liquid fuels and grid electricity. To represent the total contribution of both of these fuels to the operation, energy use, and environmental impacts of PHEVs, researchers have developed the concept of the utility factor. As standardized in documents such as SAE J1711 and SAE J2841, the utility factor represents the proportion of vehicle distance travelled that can be allocated to a vehicle test condition so as to represent the real-world driving habits of a vehicle fleet. These standards must be used with care so that the results are understood within the context of the assumptions implicit in the standardized utility factors. This study analyzes and derives alternatives to the standard utility factors from the 2001 National Highway Transportation Survey, so as to understand the sensitivity of PHEV performance to assumptions regarding charging frequency, vehicle characteristics, driver characteristics, and means of defining the utility factor. Through analysis of these alternative utility factors, this study identifies areas where analysis, design, and policy development for PHEVs can be improved by alternative utility factor calculations.

  17. Bone dynamic study. Evaluation for factor analysis of hip joint

    Energy Technology Data Exchange (ETDEWEB)

    Nakajima, Kotaro; Toyama, Hinako; Ishikawa, Nobuyoshi; Hatakeyama, Rokuro; Akisada, Masayoshi; Miyagawa, Shunpei

    1989-02-01

    Factor analysis was applied to dynamic study of Tc-99m MDP for the evaluation of hip joint disorders. Fifteen patients were examined; eight were normal, six was osteoarthritis in which one accompanied synovitis was included, and one was aseptic necrosis on the head of the femur. In normals, according to the Tc-99m MDP kinetics, three factor images and time-activity curves were obtained which were named as blood vessel, soft tissue, and bone factor images and curves. In the patient with osteoarthritis, increased accumulation of the hip joint was shown in bone factor image only. But in one patient, who took osteoarthritis with synovitis, marked accumulations of the Tc-99m MDP appeared not only on the bone factor image but also on the soft tissue. Operation revealed thickening synovial tissue around the hip joint, caused by inflammatory process. In follow-up studies of the patient with aseptic necrosis on the head of the left femur, exessive accumulations, which were seemed in his left hip joint on both bone and soft tissue factor images at first, were decreased respondently to the treatment of this lesion. In conclusion, the factor analysis was useful for differential diagnosis of the hip joint disorders and observation of the clinical course of the hip joint disorders.

  18. Genetic analysis and association of simple sequence repeat markers with storage root yield, dry matter, starch and β-carotene content in sweetpotato.

    Science.gov (United States)

    Yada, Benard; Brown-Guedira, Gina; Alajo, Agnes; Ssemakula, Gorrettie N; Owusu-Mensah, Eric; Carey, Edward E; Mwanga, Robert O M; Yencho, G Craig

    2017-03-01

    Molecular markers are needed for enhancing the development of elite sweetpotato (Ipomoea batatas (L.) Lam) cultivars with a wide range of commercially important traits in sub-Saharan Africa. This study was conducted to estimate the heritability and determine trait correlations of storage root yield, dry matter, starch and β-carotene content in a cross between 'New Kawogo' × 'Beauregard'. The study was also conducted to identify simple sequence repeat (SSR) markers associated with these traits. A total of 287 progeny and the parents were evaluated for two seasons at three sites in Uganda and genotyped with 250 SSR markers. Broad sense heritability (H(2)) for storage root yield, dry matter, starch and β-carotene content were 0.24, 0.68, 0.70 and 0.90, respectively. Storage root β-carotene content was negatively correlated with dry matter (r = -0.59, P content, while storage root yield was positively correlated with dry matter (r = 0.57, P = 0.029) and starch (r = 0.41, P = 0.008) content. Through logistic regression, a total of 12, 4, 6 and 8 SSR markers were associated with storage root yield, dry matter, starch and β-carotene content, respectively. The SSR markers used in this study may be useful for quantitative trait loci analysis and selection for these traits in future.

  19. A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

    Science.gov (United States)

    Mulaik, Stanley A.

    1987-01-01

    Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

  20. Analysis of high yield formation of rapeseed in Hunan province and high-yield cultivation measures%湖南高产油菜的产量构成特点及主要栽培措施

    Institute of Scientific and Technical Information of China (English)

    官春云; 谭太龙; 王国槐; 王峰; 官梅

    2011-01-01

    对2008-2009年参加湖南省油菜高产创建活动的高产田块产量及其形成特点进行分析.结果表明:平均产量为3084 kg/hm2的油菜田块角果数为6.522×107个/hm2,每果粒数为20.5粒,千粒重4.077 g;冬前苗单株绿叶数约10片,单株总叶数16片,最大叶长近45 cm,叶宽18 cm,干物质产量为4 841.85 kg/hm2;盛花期株高为136 cm,主茎总节数31.8节,主茎绿叶数17片,第一片无柄叶长28.8 cm,宽13 cm,10 cm以上分枝数10.6个,干物质产量为11 225.1 kg/hm2;成熟期株高为180 cm,分枝数11个,干物质产量(去角果)为9 118.65 kg/hm2.高产田块主要栽培措施为:9月7-15日播种,培育壮苗,10月10-25 日移栽;土壤肥力中等,精细整地;施用45%高效复合肥450~750 kg/hm2,另加15 kg/hm2硼肥作底肥,苗期适当追施尿素;或施优质农家肥1.5×104kg/hm2,25%复合肥375 kg/hm2,加15 kg/hm2硼肥作底肥,苗期适当追施尿素150~225 kg/hm2;种植密度1.2× 105株/hm2,及时灌排水和防治病虫草害等.%According to the analysis of yield level and yield characteristics of typical block in Hunan province in 2008-2009, preliminary results are obtained. Yield components and physiological index in different growth stages of rapeseed yielded around 3 084 kg/hm2 in Hunan are: number of siliques is 6.522 × 107/hm2, seed number is 20.5/ silique, thousand grain weight of rapeseed is 4.077 g. Green leaf number per plant in seedlings before winter (1/10) is nearly 10, total leaf number is 16, maximum leaf length nearly 45 cm, leaf width 18 cm, dry matter yield before winter is 4 841.85 kg/ hm2. Plant height in florescence stage is 136 cm, nodes number on the main stalk is 31.8, green leaf number on the main stalk is 17, first piece of sessile leaf length is 28.8 cm, width 13 cm, branch quantity (≥10 cm)is 10.6, the total mass of dry matter is 11 225.1 kg/hm2. Plant height in maturity stage is 180 cm, number of branch quantity is 11 and total amount of dry matter (silique

  1. Spatiotemporal analysis of the effects of forest covers on water yield in the Western Ghats of peninsular India

    Science.gov (United States)

    Singh, Sunita; Mishra, Arabinda

    2012-06-01

    SummaryBiotic interference has greatly disturbed the forest cover, the forest soils and, therefore, the hydrological functioning of the forest (Bonell and Bruijnzeel, 2005). Though widely debated, reduction in water yield (Water Yield: Total quantity of surface water that can be expected in a given period from a stream at the outlet of its catchment (Subramanya, 2008)) appears to be one such consequence. Scientific understanding of how this contentious issue affects the benefits of forests for water is critical to avoid unintended consequences (IUFRO, 2007). Gaps in research exist for tropical forest areas that are now a general mix of primary forest and secondary vegetation interspersed with patches cleared for agriculture or other non-forest uses (Bruijnzeel, 2004; Giambelluca, 2002). For this reason, research on spatiotemporal variations in the effects of a mix of primary forest (Primary Forests: Old forests with no or inconsequential human disturbance), mature secondary forests (Secondary Forests: Forests regenerating largely through natural processes after significant human and/or natural disturbance of the original forest vegetation at a single point in time or over an extended period, and displaying a major difference in forest structure and/or canopy species composition with respect to nearby primary forests on similar sites (Chokkalingam and Jong, 2001)) and disturbed forests (Disturbed Forests: Forests that have been exploited on moderate to large scale for timber, fuel wood, fodder, shifting cultivation and other tangible benefits. Reforestation activities may or may not have been undertaken in them) on runoff coefficients was conducted in four watersheds in the Western Ghats of peninsular India. Forest cover (Forest Cover: All lands with tree cover of canopy density of 10% and above when projected vertically on the horizontal ground with minimum areal extent of one Ha) significantly (0.01 forest cover, the Tulsi Watershed having mainly primary forests

  2. Risk factors for central venous catheter-related thrombosis in children: a retrospective analysis.

    Science.gov (United States)

    Chen, Kai; Agarwal, Arnav; Tassone, Maria Cristina; Shahjahan, Nadia; Walton, Mark; Chan, Anthony; Mondal, Tapas

    2016-06-01

    Central venous catheter (CVC) placement is associated with increased risk of thrombosis in the paediatric population, particularly in relation to the type of catheter and the manner of its insertion. Here, we investigate risk factors associated with CVC-related thrombosis in children, with particular emphasis on positioning of the catheter tip. Patients aged 0-18 who underwent at least one CVC placement from 2008 to 2013 at a single centre with a subsequent follow-up echocardiogram were included for a total of 104 patients and 147 lines. Data on clinical and catheter-related risk factors were collected from patient charts. Statistical analysis using Pearson's χ tests, independent samples t-test, and odds ratios were used to assess potential risk factors for thrombosis. Neither insertion site (subclavian vein or otherwise), left- vs. right-sided insertion, nor catheter type were significant risk factors for thrombosis. There were no thrombotic events reported at the superior vena cava (SVC)-right atrium junction and no significant differences in thrombotic risk with initial tip placement in the SVC-right atrium junction vs. the SVC, right atrium, or inferior vena cava. Acute lymphoblastic leukaemia was a major clinical risk factor for thrombosis. Tip movement was common and may have been an important factor in the development of CVC-related thrombi. Prospective studies can yield insight into the role of follow-up imaging in the prevention of catheter-related thrombosis in children.

  3. Measurement of ep {yields} e{prime} p{pi}{sup +}{pi}{sup -}: experimental procedures and baryon resonance analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Ripani; V.D. Burkert; V. Mokeev; M. Battaglieri; R. De Vita; E. Golovach; M. Taiuti; et al

    2003-04-01

    The cross section for the reaction ep {yields} e{prime} p{pi}{sup +}{pi}{sup -} was measured in the resonance region for 1.4 < W < 2.1 GeV and 0.5 < Q{sup 2} < 1.5 GeV{sup 2}/c{sup 2} using the CLAS detector at Jefferson Laboratory. The data show resonant structures not visible in previous experiments. The comparison of our data to a phenomenological prediction using available information on N* and {Delta} states shows an evident discrepancy. A better description of the data is obtained either by a sizeable change of the properties of the P{sub 13}(1720) resonance or by introducing a new baryon state, not reported in published analyses.

  4. Heterogeneity of Capital Stocks in Japan: Classification by Factor Analysis

    Directory of Open Access Journals (Sweden)

    Konomi Tonogi

    2014-04-01

    Full Text Available This paper examines the heterogeneity of capital stocks using financial statement data of publicly listed Japanese firms. We conduct factor analysis on investment rates among various capital goods and estimate factor loadings of each as its reactions to common factors like total factor productivity (TFP shocks. Then we estimate the uniqueness for each investment rate, which is the percentage of its variance that is not explained by the common factors. If the estimated factor loadings are similar between some of the heterogeneous capital goods, it may well imply that the adjustment cost structure of these investments is also similar. Further, if some of the estimated values of uniqueness are small, it suggests that certain theoretical models may track the dynamics of the investment rates well. Our estimation results show that Building and Structure have similar factor loadings as do Machinery & Equipment, Vehicles & Delivery Equipment, and Tools, Furniture, & Fixture. This suggests that we could remedy the Curse of Dimensionality by bundling the investments that have similar factor loadings together and that identifying the functional structures of each group of capital goods can greatly improve the performance of empirical investment equations.

  5. Landslides geotechnical analysis. Qualitative assessment by valuation factors

    Science.gov (United States)

    Cuanalo Oscar, Sc D.; Oliva Aldo, Sc D.; Polanco Gabriel, M. E.

    2012-04-01

    In general, a landslide can cause a disaster when it is combined a number of factors such as an extreme event related to a geological phenomenon, vulnerable elements exposed in a specific geographic area, and the probability of loss and damage evaluated in terms of lives and economic assets, in a certain period of time. This paper presents the qualitative evaluation of slope stability through of Valuation Factors, obtained from the characterization of the determinants and triggers factors that influence the instability; for the first the morphology and topography, geology, soil mechanics, hydrogeology and vegetation to the second, the rain, earthquakes, erosion and scour, human activity, and ultimately dependent factors of the stability analysis, and its influence ranges which greatly facilitate the selection of construction processes best suited to improve the behavior of a slope or hillside. The Valuation Factors are a set of parameters for assessing the influence of conditioning and triggering factors that influence the stability of slopes and hillsides. The characteristics of each factor must be properly categorized to involve its effect on behavior; a way to do this is by assigning a weighted value range indicating its effect on the stability of a slope. It is proposed to use Valuation Factors with weighted values between 0 and 1 (arbitrarily selected but common sense and logic), the first corresponds to no or minimal effect on stability (no effect or very little influence) and the second, the greatest impact on it (has a significant influence). The meddle effects are evaluated with intermediate values.

  6. Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation

    Directory of Open Access Journals (Sweden)

    Gianola Daniel

    2007-09-01

    Full Text Available Abstract Multivariate linear models are increasingly important in quantitative genetics. In high dimensional specifications, factor analysis (FA may provide an avenue for structuring (covariance matrices, thus reducing the number of parameters needed for describing (codispersion. We describe how FA can be used to model genetic effects in the context of a multivariate linear mixed model. An orthogonal common factor structure is used to model genetic effects under Gaussian assumption, so that the marginal likelihood is multivariate normal with a structured genetic (covariance matrix. Under standard prior assumptions, all fully conditional distributions have closed form, and samples from the joint posterior distribution can be obtained via Gibbs sampling. The model and the algorithm developed for its Bayesian implementation were used to describe five repeated records of milk yield in dairy cattle, and a one common FA model was compared with a standard multiple trait model. The Bayesian Information Criterion favored the FA model.

  7. Exploratory factor analysis of the Brazilian OHIP for edentulous subjects.

    Science.gov (United States)

    Souza, R F; Leles, C R; Guyatt, G H; Pontes, C B; Della Vecchia, M P; Neves, F D

    2010-03-01

    The use of seven domains for the Oral Health Impact Profile (OHIP)-EDENT was not supported for its Brazilian version, making data interpretation in clinical settings difficult. Thus, the aim of this study was to assess patients' responses for the translated OHIP-EDENT in a group of edentulous subjects and to develop factor scales for application in future studies. Data from 103 conventional and implant-retained complete denture wearers (36 men, mean age of 69.1 +/- 10.3 years) were assessed using the Brazilian version of the OHIP-EDENT. Oral health-related quality of life domains were identified by factor analysis using principal component analysis as the extraction method, followed by varimax rotation. Factor analysis identified four factors that accounted for 63% of the 19 items total variance, named masticatory discomfort and disability (four items), psychological discomfort and disability (five items), social disability (five items) and oral pain and discomfort (five items). Four factors/domains of the Brazilian OHIP-EDENT version represent patient-important aspects of oral health-related quality of life.

  8. Using Confirmatory Factor Analysis for Construct Validation: An Empirical Review

    Science.gov (United States)

    DiStefano, Christine; Hess, Brian

    2005-01-01

    This study investigated the psychological assessment literature to determine what applied researchers are using and reporting from confirmatory factor analysis (CFA) studies for evidence of construct validation. One hundred and one articles published in four major psychological assessment journals between 1990 and 2002 were systematically…

  9. Modular Open-Source Software for Item Factor Analysis

    Science.gov (United States)

    Pritikin, Joshua N.; Hunter, Micheal D.; Boker, Steven M.

    2015-01-01

    This article introduces an item factor analysis (IFA) module for "OpenMx," a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation…

  10. Modular Open-Source Software for Item Factor Analysis

    Science.gov (United States)

    Pritikin, Joshua N.; Hunter, Micheal D.; Boker, Steven M.

    2015-01-01

    This article introduces an item factor analysis (IFA) module for "OpenMx," a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation…

  11. A Factor Analysis of Barriers to Effective Listening.

    Science.gov (United States)

    Golen, Steven

    1990-01-01

    Conducts a factor analysis to determine listening barriers perceived as most frequently affecting the listening effectiveness among business college students. Finds the presence of six listening barriers, with the barrier "listen primarily for details or facts" as the most frequently encountered barrier perceived by students. (MM)

  12. The Effects of Overextraction on Factor and Component Analysis.

    Science.gov (United States)

    Fava, J L; Velicer, W F

    1992-07-01

    The effects of overextracting factors and components within and between the methods of maximum likelihood factor analysis (MLFA) and principal component analysis (PCA) were examined. Computer-simulated data sets were generated to represent a range of factor and component patterns. Saturation (aij = .8, .6 & .4), sample size (N = 75, 150,225,450), and variable-to-component (factor) ratio (p:m = 12:1,6:1, & 4:1) were conditions manipulated. In Study 1, scores based on the incorrect patterns were correlated with correct scores within each method after each overextraction. In Study 2, scores were correlated between the methods of PCAand MLFA after each overextraction. Overextraction had a negative effect, but scores based on strong component and factor patterns displayed robustness to the effects of overextraction. Low item saturation and low sample size resulted in degraded score reproduction. Degradation was strongest for patterns that combined low saturation and low sample size. Component and factor scores were highly correlated even at maximal levels of overextraction. Dissimilarity between score methods was the greatest in conditions that combined low saturation and low sample size. Some guidelines for researchers concerning the effects of overextraction are noted, as well as some cautions in the interpretation of results.

  13. Exploratory factor analysis of the Oral Health Impact Profile.

    Science.gov (United States)

    John, M T; Reissmann, D R; Feuerstahler, L; Waller, N; Baba, K; Larsson, P; Celebić, A; Szabo, G; Rener-Sitar, K

    2014-09-01

    Although oral health-related quality of life (OHRQoL) as measured by the Oral Health Impact Profile (OHIP) is thought to be multidimensional, the nature of these dimensions is not known. The aim of this report was to explore the dimensionality of the OHIP using the Dimensions of OHRQoL (DOQ) Project, an international study of general population subjects and prosthodontic patients. Using the project's Learning Sample (n = 5173), we conducted an exploratory factor analysis on the 46 OHIP items not specifically referring to dentures for 5146 subjects with sufficiently complete data. The first eigenvalue (27·0) of the polychoric correlation matrix was more than ten times larger than the second eigenvalue (2·6), suggesting the presence of a dominant, higher-order general factor. Follow-up analyses with Horn's parallel analysis revealed a viable second-order, four-factor solution. An oblique rotation of this solution revealed four highly correlated factors that we named Oral Function, Oro-facial Pain, Oro-facial Appearance and Psychosocial Impact. These four dimensions and the strong general factor are two viable hypotheses for the factor structure of the OHIP.

  14. Evaluating Exploratory Factor Analysis: Which Initial-Extraction Techniques Provide the Best Factor Fidelity?

    Science.gov (United States)

    Buley, Jerry L.

    1995-01-01

    States that attacks by communication scholars have cast doubt on the validity of exploratory factor analysis (EFA). Tests EFA's ability to produce results that replicate known dimensions in a data set. Concludes that EFA should be viewed with cautious optimism and be evaluated according to the findings of this and similar studies. (PA)

  15. Factor analysis improves the selection of prescribing indicators

    DEFF Research Database (Denmark)

    Rasmussen, Hanne Marie Skyggedal; Søndergaard, Jens; Sokolowski, Ineta

    2006-01-01

    OBJECTIVE: To test a method for improving the selection of indicators of general practitioners' prescribing. METHODS: We conducted a prescription database study including all 180 general practices in the County of Funen, Denmark, approximately 472,000 inhabitants. Principal factor analysis was used...... indicators directly quantifying choice of coxibs, indicators measuring expenditure per Defined Daily Dose, and indicators taking risk aspects into account, (2) "Frequent NSAID prescribing", comprising indicators quantifying prevalence or amount of NSAID prescribing, and (3) "Diverse NSAID choice", comprising...... appropriate and inappropriate prescribing, as revealed by the correlation of the indicators in the first factor. CONCLUSION: Correlation and factor analysis is a feasible method that assists the selection of indicators and gives better insight into prescribing patterns....

  16. Identifying influential factors of business process performance using dependency analysis

    Science.gov (United States)

    Wetzstein, Branimir; Leitner, Philipp; Rosenberg, Florian; Dustdar, Schahram; Leymann, Frank

    2011-02-01

    We present a comprehensive framework for identifying influential factors of business process performance. In particular, our approach combines monitoring of process events and Quality of Service (QoS) measurements with dependency analysis to effectively identify influential factors. The framework uses data mining techniques to construct tree structures to represent dependencies of a key performance indicator (KPI) on process and QoS metrics. These dependency trees allow business analysts to determine how process KPIs depend on lower-level process metrics and QoS characteristics of the IT infrastructure. The structure of the dependencies enables a drill-down analysis of single factors of influence to gain a deeper knowledge why certain KPI targets are not met.

  17. Teff (Eragrostis tef) production constraints on Vertisols in Ethiopia: farmers' perceptions and evaluation of low soil zinc as yield-limiting factor.

    NARCIS (Netherlands)

    Haileselassie, B.; Stomph, T.J.; Hoffland, E.

    2011-01-01

    Teff (Eragrostis tef (Zucc.) Trotter) is a major food crop in Ethiopia and Eritrea. It is well adapted to Vertisols. Yields are low (around 1000¿kg ha-1) despite fertilization with urea and diammonium phosphate. The objectives of this study were to understand farmers’ perception on teff production c

  18. Developmental Coordination Disorder: Validation of a Qualitative Analysis Using Statistical Factor Analysis

    Directory of Open Access Journals (Sweden)

    Kathy Ahern

    2002-09-01

    Full Text Available This study investigates triangulation of the findings of a qualitative analysis by applying an exploratory factor analysis to themes identified in a phenomenological study. A questionnaire was developed from a phenomenological analysis of parents' experiences of parenting a child with Developmental Coordination Disorder (DCD. The questionnaire was administered to 114 parents of DCD children and data were analyzed using an exploratory factor analysis. The extracted factors provided support for the validity of the original qualitative analysis, and a commentary on the validity of the process is provided. The emerging description is of the compromises that were necessary to translate qualitative themes into statistical factors, and of the ways in which the statistical analysis suggests further qualitative study.

  19. Caracterização agronômica da produção de rizomas de clones de taro Characterization of yield factors in taro clones

    Directory of Open Access Journals (Sweden)

    Francisco Hevilásio F. Pereira

    2003-03-01

    Full Text Available Objetivou-se caracterizar agronomicamente 36 acessos (clones de taro pertencentes ao Banco de Germoplasma de Hortaliças da UFV quanto às características relativas à produção de rizomas. O experimento foi conduzido na horta de pesquisas da UFV, de 19/09/2000 a 13/07/2001. Foi utilizado o delineamento de blocos casualizados, com 36 tratamentos (clones e cinco repetições. A parcela foi composta de quatro fileiras, com quatro metros de comprimento, com as plantas espaçadas de 1,0 x 0,5 m. As características avaliadas foram peso médio de rizomas comerciáveis; número de rizomas comerciáveis por planta; produtividade de rizomas comerciáveis e total; razão de formato (diâmetro longitudinal/diâmetro transversal de rizomas comerciáveis; produtividade de rizomas em classes (com base no diâmetro transversal filho grande (>47 mm, filho médio (40-47 mm, filho pequeno (33-40 mm e refugo (Clones of taro, from the Germoplasm Bank of the Universidade Federal de Viçosa, Brazil, were agronomically characterized. The experiment was carried out from 19/09/2000 to 13/07/2001, in a randomized complete block design, with 36 treatments (clones and five replicates. The experimental unit was comprised of four rows spaced 1.0 m apart, with four meters in length. The distance between plants in the row was 0.5 m. We evaluated the average commercial rhizome weight; number of commercial rhizomes/plant; total and commercial rhizome yield; format ratio (longitudinal/transversal diameter of the commercial production, and rhizomes classification according to the transversal diameter (large offspring >47 mm; medium offspring = 40-47 mm; small offspring = 33-40 mm; and discard < 33 mm. Clones BGH 5916, BGH 6137, and BGH 6298 presented good rhizome shape (ratio between 1.1 and 1.7 and higher values of mean corm fresh commercial weight, commercial and total yields. These clones did not differ from BGH 5925 (Japanese, presenting significantly higher values than BGH

  20. Yield and yield gaps in central U.S. corn production systems

    Science.gov (United States)

    The magnitude of yield gaps (YG) (potential yield – farmer yield) provides some indication of the prospects for increasing crop yield. Quantile regression analysis was applied to county maize (Zea mays L.) yields (1972 – 2011) from Kentucky, Iowa and Nebraska (irrigated) (total of 115 counties) to e...