Enlarging of scale in dairy farming: Consequences for farm-bound traffic flows in the countryside

NARCIS (Netherlands)

Jaarsma, C.F.; Hermans, C.M.L.; Rienks, W.A.; Vries, de J.R.

2013-01-01

On average, farm units in the EU countryside are developing within the globalization process to an everincreasing physical and operational size. Within the last three decades, Dutch dairy farm holdings have increased their physical size by a factor of 3. This ongoing process can also be observed in

Optimal management of on-farm resources in small-scale dairy systems of Central Mexico: model development and evaluation.

Science.gov (United States)

Castelán-Ortega, Octavio Alonso; Martínez-García, Carlos Galdino; Mould, Fergus L; Dorward, Peter; Rehman, Tahir; Rayas-Amor, Adolfo Armando

2016-06-01

This study evaluates the available on-farm resources of five case studies typified as small-scale dairy systems in central Mexico. A comprehensive mixed-integer linear programming model was developed and applied to two case studies. The optimal plan suggested the following: (1) instruction and utilization of maize silage, (2) alfalfa hay making that added US$140/ha/cut to the total net income, (3) allocation of land to cultivated pastures in a ratio of 27:41(cultivated pastures/maize crop) rather than at the current 14:69, and dairy cattle should graze 12 h/day, (4) to avoid grazing of communal pastures because this activity represented an opportunity cost of family labor that reduced the farm net income, and (5) that the highest farm net income was obtained when liquid milk and yogurt sales were included in the optimal plan. In the context of small-scale dairy systems of central Mexico, the optimal plan would need to be implemented gradually to enable farmers to develop required skills and to change management strategies from reliance on forage and purchased concentrate to pasture-based and conserved forage systems.

Productive, economic and environmental effects of optimised feeding strategies in small-scale dairy farms in the Highlands of Mexico

Directory of Open Access Journals (Sweden)

José Velarde-Guillén

2017-06-01

Full Text Available Since most dairy production in developing countries comes from small farms, there is scope to reduce their contribution to greenhouse gas (GHG emissions. In the highlands of Mexico, the limitations in these systems are high feeding costs. This paper assessed the production, economics and estimated methane emissions from traditional feeding strategies (TFS in 22 small-scale dairy farms compared to optimised feeding strategies (OFS evaluated through on-farm research in eight participating farms in the dry (DS and in the rainy (RS seasons. Results were analysed with a completely randomized design. There were no differences (P>0.05 in milk fat, body condition score (BCS or live weight between TFS and OFS, but there was higher (P

Anaerobic digestion of dairy farm slurry

Energy Technology Data Exchange (ETDEWEB)

Bell, C

1973-04-01

Bell described the intermittent operation of a pilot-scale anaerobic digester receiving dilute dairy farm slurry. A 65 to 75 percent reduction of the ''permanganate (COD) value'' could be obtained at 35/sup 0/ and a 60 day detention time. Methane content of the gases ranged between 40 and 70 percent.

Research on large-scale wind farm modeling

Science.gov (United States)

Ma, Longfei; Zhang, Baoqun; Gong, Cheng; Jiao, Ran; Shi, Rui; Chi, Zhongjun; Ding, Yifeng

2017-01-01

Due to intermittent and adulatory properties of wind energy, when large-scale wind farm connected to the grid, it will have much impact on the power system, which is different from traditional power plants. Therefore it is necessary to establish an effective wind farm model to simulate and analyze the influence wind farms have on the grid as well as the transient characteristics of the wind turbines when the grid is at fault. However we must first establish an effective WTGs model. As the doubly-fed VSCF wind turbine has become the mainstream wind turbine model currently, this article first investigates the research progress of doubly-fed VSCF wind turbine, and then describes the detailed building process of the model. After that investigating the common wind farm modeling methods and pointing out the problems encountered. As WAMS is widely used in the power system, which makes online parameter identification of the wind farm model based on off-output characteristics of wind farm be possible, with a focus on interpretation of the new idea of identification-based modeling of large wind farms, which can be realized by two concrete methods.

Temporal and spatial water use on irrigated and nonirrigated pasture-based dairy farms.

Science.gov (United States)

Higham, C D; Horne, D; Singh, R; Kuhn-Sherlock, B; Scarsbrook, M R

2017-08-01

Robust information for water use on pasture-based dairy farms is critical to farmers' attempts to use water more efficiently and the improved allocation of freshwater resources to dairy farmers. To quantify the water requirements of dairy farms across regions in a practicable manner, it will be necessary to develop predictive models. The objectives of this study were to compare water use on a group of irrigated and nonirrigated farms, validate existing water use models using the data measured on the group of nonirrigated farms, and modify the model so that it can be used to predict water use on irrigated dairy farms. Water use data were collected on a group of irrigated dairy farms located in the Canterbury, New Zealand, region with the largest area under irrigation. The nonirrigated farms were located in the Manawatu region. The amount of water used for irrigation was almost 52-fold greater than the amount of all other forms of water use combined. There were large differences in measured milking parlor water use, stock drinking water, and leakage rates between the irrigated and nonirrigated farms. As expected, stock drinking water was lower on irrigated dairy farms. Irrigation lowers the dry matter percentage of pasture, ensuring that the amount of water ingested from pasture remains high throughout the year, thereby reducing the demand for drinking water. Leakage rates were different between the 2 groups of farms; 47% of stock drinking water was lost as leakage on nonirrigated farms, whereas leakage on the irrigated farms equated to only 13% of stock drinking water. These differences in leakage were thought to be related to regional differences rather than differences in irrigated versus nonirrigated farms. Existing models developed to predict milking parlor, corrected stock drinking water, and total water use on nonirrigated pasture-based dairy farms in a previous related study were tested on the data measured in the present research. As expected, these models

Whole farm management to reduce nutrient losses from dairy farms: a simulation study

NARCIS (Netherlands)

Rotz, C.A.; Oenema, J.; Keulen, van H.

2003-01-01

Whole farm simulation provides a tool for evaluating the impact of nutrient conservation technologies and strategies on dairy farms. A farm simulation model was verified by simulating the production and nutrient flows of the De Marke experimental dairy farm in the Netherlands. Technology such as a

Raising surface water levels in peat areas with dairy farming upscaling hydrological, agronomical and economic effects from farm-scale to local scale.

NARCIS (Netherlands)

Vos, de J.A.; Bakel, van P.J.T.; Hoving, I.E.; Smidt, R.A.

2010-01-01

Raising surface water levels in peat areas is a measure to reduce soil subsidence, to prevent decay of wooden foundations and to stimulate wet nature restoration and reduce greenhouse gas emissions. However, in these areas dairy farms are present and farming at wetter soils is difficult due to lower

Characterisation of dairy soiled water in a survey of 60 Irish dairy farms

Directory of Open Access Journals (Sweden)

Minogue D.

2015-06-01

Full Text Available Dairy farming in Ireland generates an effluent known as dairy soiled water (DSW, which consists of a relatively dilute mixture of cow faeces, urine, spilt milk and detergents that is typically applied to grassland. However, relatively little is known about the volumes generated, nutrient content and management factors that influence volume and concentration. Sixty dairy farms that had a separate storage tank for storing DSW were selected for this study. The spatial distribution of the farms reflected the spatial distribution of dairy cows across the 26 counties of the Republic of Ireland, with each farm representing between 10,000 and 20,000 dairy cows. Samples were analysed for biochemical oxygen demand (BOD, ammonium N (NH4-N, total nitrogen (TN, potassium (K, phosphorus (molybdate-reactive and total (MRP and TP and dry matter (DM content. Management characteristics and parlour properties were quantified. Factors influencing volume and concentration of DSW were determined using mixed model multiple regression analysis. On average, 9784 l (standard error 209 l of DSW, including rainfall, was produced cow−1 year−1 and this contained significant quantities of total N, P and K (587, 80 and 568 mg l−1, respectively. A typical Irish dairy farm stocked at 1.9 cows ha−1 could therefore supply approximately 13, 2 and 12 kg ha−1 of total N, P and K, respectively, across the farm, annually to meet some of the nutrient requirements for herbage production and potentially replace some of the synthetic fertilizer use. Seventy one percent of samples were within the regulated concentration limits of soiled water for BOD (<2500 mg l−1, rising to 87% during the closed period for slurry spreading (mid October to mid-late January, while 81% were within the concentration limits for DM (<1% DM, rising to 94% during the closed period. The efficiency of a milking parlour (cows per unit, time taken plays a key role in determining the volume of DSW generated

Evolution of farm management, nitrogen efficiency and economic performance on Dutch dairy farms reducing external inputs

NARCIS (Netherlands)

Groot, J.C.J.; Rossing, W.A.H.; Lantinga, E.A.

2006-01-01

The implementation of the statutory Mineral Accounting System (MINAS) in the Netherlands in the period 1998¿2003 required large reductions in nutrient inputs of dairy farms. Patterns in farm management adjustments throughout 6 years and their effectiveness in terms of nitrogen use efficiency (NUE)

21 CFR 1210.11 - Sanitary inspection of dairy farms.

Science.gov (United States)

2010-04-01

... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Sanitary inspection of dairy farms. 1210.11... UNDER THE FEDERAL IMPORT MILK ACT Inspection and Testing § 1210.11 Sanitary inspection of dairy farms. The sanitary conditions of any dairy farm producing milk or cream to be shipped or transported into...

A Development Strategy for Dairy Goat Farms in Bogor Regency - West Java

OpenAIRE

Cyrilla, L; Purwanto, B. P; Astuti, D. A; Atabany, A; Sukmawati, A

2016-01-01

The objectives of present study were to formulate development strategies for dairy goat' farms that capable of supporting goat's milk agribusiness. Three medium scale dairy goat farms located in Bogor Regency which has population of more than 100 heads and has established more than 10 years were purposively selected for the study. Data were collected during February to May 2014. The design of this study was based on descriptive qualitative approach (rapid appraisal approach). Data were analiz...

Farm-scale thermophilic co-digestion of dairy manure with a biodiesel byproduct in cold regions

International Nuclear Information System (INIS)

Andriamanohiarisoamanana, Fetra J.; Yamashiro, Takaki; Ihara, Ikko; Iwasaki, Masahiro; Nishida, Takehiro; Umetsu, Kazutaka

2016-01-01

Highlights: • Co-digestion of dairy manure and crude glycerin was conducted using a 60 m"3 reactor. • The highest methane yield was 0.323 m"3/kgVS obtained at 4.2% (v/v) of crude glycerin. • The optimum organic loading rate for crude glycerol was 1.32 kgVS_C_G/m"3 d. • Reactor energy self-sufficiency was observed with net energy output of 25 kW h/d. - Abstract: Conversion of organic wastes into applicable energy sources is the best way to improve organic waste management. In this study, the performance of thermophilic co-digestion of dairy manure (DM) and crude glycerol (CG) in a 60-m"3 farm-scale biogas digester located in a cold region was investigated during the winter. Compared to the anaerobic digestion of DM alone, the methane production increased by approximately twofold during co-digestion of DM and CG. The highest methane yield was 0.323 m"3/kgVS obtained at 4.2% (v/v) of CG. Despite the increase in methane production with organic loading rate, the methane yield of CG reduced remarkably at 2.64 kgVS_C_G/m"3 d, while the highest was at 1.32 kgVS_C_G/m"3 d. During the co-digestion, a net energy at an average of 25 kWh/d was obtained for farm operation, whereas a supply of kerosene and electricity from national grid were required for the digester and farm operations during anaerobic digestion of DM. During winter, the improvement of biogas yield through the addition of CG enabled the sustainability of a farm-scale biogas production system and reduced its environmental impact.

Whole Farm Management to Reduce Nutrient Losses From Dairy Farms: A Simulation Study

OpenAIRE

Rotz, C.A.; Oenema, J.; Keulen, van, H.

2006-01-01

Whole-farm simulation provides a tool for evaluating long-term impacts of nutrient conservation technologies and strategies on dairy farms. A farm simulation model was verified to predict the production and nutrient flows of the De Marke experimental dairy farm in the Netherlands. On this farm, technologies such as a low ammonia emission barn floor, enclosed manure storage, manure injection into the soil, and intraseeding of a grass cover crop on corn land were used to reduce nitrogen loss an...

Strategic Planing to Develop Good Dairy Farming Practices in Smallholder Dairy Farms in Batu City, East Java

Directory of Open Access Journals (Sweden)

Reni Indarwati

2015-09-01

Full Text Available Some of the objectives to be achieved in this research is to describe the attack profile of subclinical mastitis on Etawah Crossbreed Goats (ECG in some smallholder farms, to identify risk factors that contribute to subclinical mastitis attacks and to compile a strategic plan to develop Good Dairy Farming Parctices (GDFP in Batu. The data were gathered by interviewing smallholder farmer and direct observation in the three farms goats in Batu (Bumiaji, Pesanggrahan, Temas  and Beji village. California Mastitis Test (CMT is used to detect subclinical mastitis on 51 ECG lactation belonging to farmer. Risk factors Identification of subclinical mastitis conducted by Spearman correlation analysis. All of smallholder compared with GDFP concept using gap analysis. Meanwhile, the strategic development plan of GDFP in Batu was done by the Root Caused analysis. The results showed that 100% subclinical mastitis attacks occurred on three dairy goats farms in Batu City  with the level 31-80% percentage of attacks. This subclinical mastitis attacks positively correlated with milk production (p <0.01. The risk factors of subclinical mastitis partly because of the environment (p<0.01, milking procedure (p <0.01 and health management (p <0.01 were not right. The strategic plan to develop GDFP in Batu City are Increase knowledge and awareness of farmers about how to implement good dairy farming practices on Etawah Crossbreed farm, particularly in the benefits of clean environmental, handling and using goat manure, the benefits of sanitation and disinfection of udder, the effect of milking frequency on udder health and the urgency of separation between healthy and sick goats. Keywords:  Good dairy farming practices, risk factors, subclinical mastitis

Investigation on the integral output power model of a large-scale wind farm

Institute of Scientific and Technical Information of China (English)

BAO Nengsheng; MA Xiuqian; NI Weidou

2007-01-01

The integral output power model of a large-scale wind farm is needed when estimating the wind farm's output over a period of time in the future.The actual wind speed power model and calculation method of a wind farm made up of many wind turbine units are discussed.After analyzing the incoming wind flow characteristics and their energy distributions,and after considering the multi-effects among the wind turbine units and certain assumptions,the incoming wind flow model of multi-units is built.The calculation algorithms and steps of the integral output power model of a large-scale wind farm are provided.Finally,an actual power output of the wind farm is calculated and analyzed by using the practical measurement wind speed data.The characteristics of a large-scale wind farm are also discussed.

Optimal Selection of AC Cables for Large Scale Offshore Wind Farms

DEFF Research Database (Denmark)

Hou, Peng; Hu, Weihao; Chen, Zhe

2014-01-01

The investment of large scale offshore wind farms is high in which the electrical system has a significant contribution to the total cost. As one of the key components, the cost of the connection cables affects the initial investment a lot. The development of cable manufacturing provides a vast...... and systematical way for the optimal selection of cables in large scale offshore wind farms....

Dairy farming in the Netherlands: challenged by demands for ecological and societal sustainability

NARCIS (Netherlands)

Oosting, S.J.

2004-01-01

Agricultural land in the Netherlands is predominantly used for dairy farming. Starting centuries ago farmers specialised, intensified and strived for scale increase in order to make a high quality low cost production. The Dutch dairy sector was successful in this respect and became an important

Estimating the effect of mastitis on the profitability of Irish dairy farms.

Science.gov (United States)

Geary, U; Lopez-Villalobos, N; Begley, N; McCoy, F; O'Brien, B; O'Grady, L; Shalloo, L

2012-07-01

The objective of this paper was to estimate the effect of the costs of mastitis on the profitability of Irish dairy farms as indicated by various ranges of bulk milk somatic cell count (BMSCC). Data were collected from 4 sources and included milk production losses, cases treated, and on-farm practices around mastitis management. The Moorepark Dairy Systems Model, which simulates dairying systems inside the farm gate, was used to carry out the analysis. The cost components of mastitis that affect farm profitability and that were included in the model were milk losses, culling, diagnostic testing, treatment, veterinary attention, discarded milk, and penalties. Farms were grouped by 5 BMSCC thresholds of ≤ 100,000, 100,001-200,000, 200,001-300,000, 300,001-400,000, and > 400,000 cells/mL. The ≤ 100,000 cells/mL threshold was taken as the baseline and the other 4 thresholds were compared relative to this baseline. For a 40-ha farm, the analysis found that as BMSCC increased, milk receipts decreased from €148,843 at a BMSCC 400,000 cells/mL. In addition, as BMSCC increased, livestock receipts increased by 17%, from €43,304 at a BMSCC 400,000 cells/mL. This reflected the higher replacement rates as BMSCC increased and the associated cull cow value. Total farm receipts decreased from €192,147 at the baseline ( 400,000 cells/mL. Total farm costs increased as BMSCC increased, reflecting treatment, veterinary, diagnostic testing, and replacement heifer costs. At the baseline, total farm costs were €161,085, increasing to €177,343 at a BMSCC > 400,000 cells/mL. Net farm profit decreased as BMSCC increased, from €31,252/yr at the baseline to €11,748/yr at a BMSCC > 400,000 cells/mL. This analysis highlights the impact that mastitis has on the profitability of Irish dairy farms. The analysis presented here can be used to develop a "cost of mastitis" tool for use on Irish dairy farms to motivate farmers to acknowledge the scale of the problem, realize the value

Dairy Tool Box Talks: A Comprehensive Worker Training in Dairy Farming.

Science.gov (United States)

Rovai, Maristela; Carroll, Heidi; Foos, Rebecca; Erickson, Tracey; Garcia, Alvaro

2016-01-01

Today's dairies are growing rapidly, with increasing dependence on Latino immigrant workers. This requires new educational strategies for improving milk quality and introduction to state-of-the-art dairy farming practices. It also creates knowledge gaps pertaining to the health of animals and workers, mainly due to the lack of time and language barriers. Owners, managers, and herdsmen assign training duties to more experienced employees, which may not promote "best practices" and may perpetuate bad habits. A comprehensive and periodic training program administered by qualified personnel is currently needed and will enhance the sustainability of the dairy industry. Strategic management and employee satisfaction will be achieved through proper training in the employee's language, typically Spanish. The training needs to address not only current industry standards but also social and cultural differences. An innovative training course was developed following the same structure used by the engineering and construction industries, giving farm workers basic understanding of animal care and handling, cow comfort, and personal safety. The "Dairy Tool Box Talks" program was conducted over a 10-week period with nine sessions according to farm's various employee work shifts. Bulk milk bacterial counts and somatic cell counts were used to evaluate milk quality on the three dairy farms participating in the program. "Dairy Tool Box Talks" resulted in a general sense of employee satisfaction, significant learning outcomes, and enthusiasm about the topics covered. We conclude this article by highlighting the importance of educational programs aimed at improving overall cross-cultural training.

Antimicrobial use on Canadian dairy farms.

Science.gov (United States)

Saini, V; McClure, J T; Léger, D; Dufour, S; Sheldon, A G; Scholl, D T; Barkema, H W

2012-03-01

Antimicrobial use (AMU) data are critical for formulating policies for containing antimicrobial resistance. The present study determined AMU on Canadian dairy farms and characterized variation in AMU based on herd-level factors such as milk production, somatic cell count, herd size, geographic region and housing type. Drug use data were collected on 89 dairy herds in 4 regions of Canada, Alberta, Ontario, Québec, and the Maritime provinces (Prince Edward Island, New Brunswick, and Nova Scotia) for an average of 540 d per herd. Dairy producers and farm personnel were asked to deposit empty drug containers into specially provided receptacles. Antimicrobial use was measured as antimicrobial drug use rate (ADUR), with the unit being number of animal defined-daily doses (ADD)/1,000 cow-days. Antimicrobial drug use rates were determined at farm, region, and national level. Combined ADUR of all antimicrobial classes was 14.35 ADD/1,000 cow-days nationally. National level ADUR of the 6 most commonly used antimicrobial drug classes, cephalosporins, penicillins, penicillin combinations, tetracyclines, trimethoprim-sulfonamide combinations, and lincosamides were 3.05, 2.56, 2.20, 1.83, 0.87, and 0.84 ADD/1,000 cow-days, respectively. Dairy herds in Ontario were higher users of third-generation cephalosporins (ceftiofur) than in Québec. Alberta dairy herds were higher users of tetracyclines in comparison to Maritimes. Antimicrobial drug use rate was higher via systemic route as compared with intramammary and other routes of administration (topical, oral, and intrauterine). The ADUR of antimicrobials used intramammarily was higher for clinical mastitis treatment than dry cow therapy. For dry cow therapy, penicillin ADUR was greater than ADUR of first-generation cephalosporins. For clinical mastitis treatment, ADUR of intramammary penicillin combinations was greater than ADUR of cephapirin. Herd-level milk production was positively associated with overall ADUR, ADUR of

Short communication: survey of fresh cow management practices of dairy cattle on small and large commercial farms.

Science.gov (United States)

Heuwieser, W; Iwersen, M; Gossellin, J; Drillich, M

2010-03-01

The objective was to conduct a survey of current fresh cow management practices that have an effect on health and diseases postpartum considering different herd sizes of commercial dairy farms. A mail survey regarding aspects of the fresh cow program including general management issues, calving, diseases, and veterinary service was conducted utilizing a convenience sample. A total of 429 survey forms were returned (12.0% response rate) and could be used for final analysis. Only 21.6% of the farms had a designated fresh cow pen. Almost every farm executed some type of fresh cow examination. Only 18.5% of farm managers documented the observations. Most of the dairy managers used more or less subjective criteria such as general appearance (97.0%) and appetite (69.7%). Only a minority of the responding dairy managers monitored their fresh cows using objective (fever 33.6%) or semiquantitative measures (subclinical ketosis 2.8%; body condition score 36.4%). On most farms, the veterinarian visited the herd only if needed (72.6%). Most cases of retained fetal membranes were treated by manual removal (72.3%) and antibiotic pills (89.5%). Several challenges and opportunities were identified to improve cow management practices.

Short communication: planning considerations for on-farm dairy processing enterprises.

Science.gov (United States)

Smith, S M; Chaney, E A; Bewley, J M

2013-07-01

Across the world, more dairy producers are considering on-farm dairy processing to add value to the milk produced on their farms. Dairy producers may bottle milk or process their milk into cheese, ice cream, butter, yogurt, or cream. The primary objective of this research was to establish a series of sound factors or indicators of success for those considering on-farm processing. A survey was employed to collect opinions and advice from managers of on-farm processing enterprises. Surveys were distributed online (n=120), with 31 surveys returned, accounting for a 25.8% response rate. Most (64%) respondents had been involved in on-farm dairy processing for less than 10 yr. Sixty-one percent of respondents attained a positive cash flow in 1 to 3 yr. The primary products manufactured were cheese (69%), milk (59%), ice cream (31%), yogurt (25%), and butter (21%). Factors influencing the decision to start an on-farm dairy processing enterprise included commodity milk prices (61%), desire to work with the public (41%), an opportunity to promote the dairy industry (39%), a desire to maintain or expand a small family operation (29%), and product differentiation (16%). Respondents cited dealing with regulations (26%), product marketing (19%), manufacturing technicalities (19%), and securing funding (17%) as the most difficult parts of starting the business. Open-ended responses provided by the respondents of this survey were also documented to give future dairy producers advice. The most common advice to future on-farm processors was to work on realistic business plans, develop and follow realistic budgets, and observe and use market surveys within the industry. These results provide a useful array of information for future on-farm dairy processing enterprises. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Costs of Producing Biogas at Dairy Farms in The Netherlands

NARCIS (Netherlands)

Gebrezgabher, S.A.; Meuwissen, M.P.M.; Oude Lansink, A.G.J.M.

2010-01-01

By 2020, Dutch dairy chains envisage to be self-sufficient with regard to energy used by dairy farms and dairy processors. This would require dairy farms to produce 25 PJ per year, possibly by a combination of wind, solar and biogas. This paper focuses on biogas. To evaluate the project’s viability

Management practices for male calves on Canadian dairy farms.

Science.gov (United States)

Renaud, D L; Duffield, T F; LeBlanc, S J; Haley, D B; Kelton, D F

2017-08-01

Morbidity, mortality, and antimicrobial use and resistance are major concerns in the rearing of male dairy calves, so information to support disease prevention is important. The objective of this cross-sectional study was to describe management practices associated with the care of male calves during their first days of life on Canadian dairy farms. A survey was completed by dairy producers across Canada between March 1 and April 30, 2015. The survey included 192 questions covering producer background, farm characteristics, biosecurity practices, disease prevalence, calf health, animal welfare, lameness, milking hygiene, reproduction, and Internet and social media use. A total of 1,025 surveys were completed online, by telephone, or by mail, representing 9% of all dairy farms in Canada. Five percent of respondents (n = 49) answered that they had euthanized at least 1 male calf at birth in the previous year, and blunt force trauma was commonly used in these cases. The majority of respondents always fed colostrum to male calves; however, 9% (n = 80) did not always feed colostrum. Almost 40% (n = 418) of respondents reported always dipping the navels of male calves, 12% (n = 123) vaccinated male calves, and 17% (n = 180) did not provide the same quantity of feed to male calves as heifer calves. The care of male calves differed greatly depending on the geographical region of the respondents. However, some regional effects may be confounded by economic conditions and the logistics of marketing male dairy calves in different parts of the country. Herd size was another important variable in many aspects of the management of male calves on dairy farms. Larger herd sizes were more likely to use an appropriate method of euthanasia at birth but were less likely to always feed colostrum to their male calves or feed them the same as female calves. Familiarity with the Code of Practice for the Care and Handling of Dairy Cattle (National Farm Animal Care Council) by respondents

Including spatial data in nutrient balance modelling on dairy farms

Science.gov (United States)

van Leeuwen, Maricke; van Middelaar, Corina; Stoof, Cathelijne; Oenema, Jouke; Stoorvogel, Jetse; de Boer, Imke

2017-04-01

The Annual Nutrient Cycle Assessment (ANCA) calculates the nitrogen (N) and phosphorus (P) balance at a dairy farm, while taking into account the subsequent nutrient cycles of the herd, manure, soil and crop components. Since January 2016, Dutch dairy farmers are required to use ANCA in order to increase understanding of nutrient flows and to minimize nutrient losses to the environment. A nutrient balance calculates the difference between nutrient inputs and outputs. Nutrients enter the farm via purchased feed, fertilizers, deposition and fixation by legumes (nitrogen), and leave the farm via milk, livestock, manure, and roughages. A positive balance indicates to which extent N and/or P are lost to the environment via gaseous emissions (N), leaching, run-off and accumulation in soil. A negative balance indicates that N and/or P are depleted from soil. ANCA was designed to calculate average nutrient flows on farm level (for the herd, manure, soil and crop components). ANCA was not designed to perform calculations of nutrient flows at the field level, as it uses averaged nutrient inputs and outputs across all fields, and it does not include field specific soil characteristics. Land management decisions, however, such as the level of N and P application, are typically taken at the field level given the specific crop and soil characteristics. Therefore the information that ANCA provides is likely not sufficient to support farmers' decisions on land management to minimize nutrient losses to the environment. This is particularly a problem when land management and soils vary between fields. For an accurate estimate of nutrient flows in a given farming system that can be used to optimize land management, the spatial scale of nutrient inputs and outputs (and thus the effect of land management and soil variation) could be essential. Our aim was to determine the effect of the spatial scale of nutrient inputs and outputs on modelled nutrient flows and nutrient use efficiencies

Multiscale effects of management, environmental conditions, and land use on nitrate leaching in dairy farms.

Science.gov (United States)

Oenema, Jouke; Burgers, Saskia; Verloop, Koos; Hooijboer, Arno; Boumans, Leo; ten Berge, Hein

2010-01-01

Nitrate leaching in intensive grassland- and silage maize-based dairy farming systems on sandy soil is a main environmental concern. Here, statistical relationships are presented between management practices and environmental conditions and nitrate concentration in shallow groundwater (0.8 m depth) at farm, field, and point scales in The Netherlands, based on data collected in a participatory approach over a 7-yr period at one experimental and eight pilot commercial dairy farms on sandy soil. Farm milk production ranged from 10 to 24 Mg ha(-1). Soil and hydrological characteristics were derived from surveys and weather conditions from meteorological stations. Statistical analyses were performed with multiple regression models. Mean nitrate concentration at farm scale decreased from 79 mg L(-1) in 1999 to 63 in 2006, with average nitrate concentration in groundwater decreasing under grassland but increasing under maize land over the monitoring period. The effects of management practices on nitrate concentration varied with spatial scale. At farm scale, nitrogen surplus, grazing intensity, and the relative areas of grassland and maize land significantly contributed to explaining the variance in nitrate concentration in groundwater. Mean nitrate concentration was negatively correlated to the concentration of dissolved organic carbon in the shallow groundwater. At field scale, management practices and soil, hydrological, and climatic conditions significantly contributed to explaining the variance in nitrate concentration in groundwater under grassland and maize land. We conclude that, on these intensive dairy farms, additional measures are needed to comply with the European Union water quality standard in groundwater of 50 mg nitrate L(-1). The most promising measures are omitting fertilization of catch crops and reducing fertilization levels of first-year maize in the rotation.

The effects of farm management practices on liver fluke prevalence and the current internal parasite control measures employed on Irish dairy farms.

Science.gov (United States)

Selemetas, Nikolaos; Phelan, Paul; O'Kiely, Padraig; de Waal, Theo

2015-01-30

Fasciolosis caused by Fasciola hepatica is responsible for major production losses in cattle farms. The objectives of this study were to assess the effect of farm management practices on liver fluke prevalence on Irish dairy farms and to document the current control measures against parasitic diseases. In total, 369 dairy farms throughout Ireland were sampled from October to December 2013, each providing a single bulk tank milk (BTM) sample for liver fluke antibody-detection ELISA testing and completing a questionnaire on their farm management. The analysis of samples showed that cows on 78% (n=288) of dairy farms had been exposed to liver fluke. There was a difference (P0.05) between positive and negative farms in (a) the grazing of dry cows together with replacement cows, (b) whether or not grazed grassland was mowed for conservation, (c) the type of drinking water provision system, (d) spreading of cattle manure on grassland or (e) for grazing season length (GSL; mean=262.5 days). Also, there were differences (Pmanagement practices between Irish farms with dairy herds exposed or not exposed to liver fluke and stressed the need of fine-scale mapping of the disease patterns even at farm level to increase the accuracy of risk models. Also, comprehensive advice and professional support services to farmers on appropriate farm management practices are very important for an effective anthelmintic control strategy. Copyright © 2014 Elsevier B.V. All rights reserved.

How do farm models compare when estimating greenhouse gas emissions from dairy cattle production?

DEFF Research Database (Denmark)

Hutchings, Nicholas John; Özkan, Şeyda; de Haan, M

2018-01-01

The European Union Effort Sharing Regulation (ESR) will require a 30% reduction in greenhouse gas (GHG) emissions by 2030 compared with 2005 from the sectors not included in the European Emissions Trading Scheme, including agriculture. This will require the estimation of current and future...... from four farm-scale models (DairyWise, FarmAC, HolosNor and SFARMMOD) were calculated for eight dairy farming scenarios within a factorial design consisting of two climates (cool/dry and warm/wet)×two soil types (sandy and clayey)×two feeding systems (grass only and grass/maize). The milk yield per...

Potential effects of accumulating environmental policies on Dutch dairy farms

NARCIS (Netherlands)

Berentsen, P.B.M.; Tiessink, M.

2003-01-01

Consequences for farm management, environment, and economics of environmental policies for Dutch dairy farms were examined through modeling with two policies applied successively to typical dairy farms. Both policies aim to decrease nutrient losses in the soil. The first policy, the Mineral

Studies of Sub-Synchronous Oscillations in Large-Scale Wind Farm Integrated System

Science.gov (United States)

Yue, Liu; Hang, Mend

2018-01-01

With the rapid development and construction of large-scale wind farms and grid-connected operation, the series compensation wind power AC transmission is gradually becoming the main way of power usage and improvement of wind power availability and grid stability, but the integration of wind farm will change the SSO (Sub-Synchronous oscillation) damping characteristics of synchronous generator system. Regarding the above SSO problem caused by integration of large-scale wind farms, this paper focusing on doubly fed induction generator (DFIG) based wind farms, aim to summarize the SSO mechanism in large-scale wind power integrated system with series compensation, which can be classified as three types: sub-synchronous control interaction (SSCI), sub-synchronous torsional interaction (SSTI), sub-synchronous resonance (SSR). Then, SSO modelling and analysis methods are categorized and compared by its applicable areas. Furthermore, this paper summarizes the suppression measures of actual SSO projects based on different control objectives. Finally, the research prospect on this field is explored.

The Milking Profile of Dairy Cattle Farms in Central Macedonia (Greece

Directory of Open Access Journals (Sweden)

Ioannis Mitsopoulos

2013-05-01

Full Text Available The purpose of this paper is to provide insights of the profile of the dairy farms of Central Macedonia (Greece, in terms of their milking practices. The analysis is based on data from a random sample of 123 dairy farms, obtained by means of a survey. The employment of the Categorical Principal Component Analysis on the 14 variables initially used to describe milking practices and of the Two-Step Cluster Analysis led to the grouping of the 123 farms to three clusters. Farms of the first cluster, named “Innovative”, use state-of-the-art equipment, automatic systems and innovative milking techniques (31.1% of the sample farms. “Peasant” farms (11.4% are mainly extensive, using mainly bucket plants. The third and most abundant group, the “Modernizing” farms (54.5% are use equipment of reasonable standards and some of them are on the process of renewing it. The results of a Multinomial Logit model verify that “Innovative” farms are large and achieve high yields, while the “Modernizing” ones are smaller, producing milk of lower quality and they are owned by relatively older dairy farmers. An interesting profile is depicted for “Peasant” farms, as they achieve satisfactory economic performance, combined with adequate milk quality. The analytical framework included the reduction of analysis variables to a smaller group of “dimensions”, using the Categorical Principal Component Analysis (CatPCA, based on which farms were clustered to alternative profiles, by employing a Two-Step Cluster (TSC Analysis. Differences in elements of milk quality and in the social profile of farms and farmers were examined among alternative profiles through the estimation of Multinomial Logit Models.

The profitability of automatic milking on Dutch dairy farms.

Science.gov (United States)

Bijl, R; Kooistra, S R; Hogeveen, H

2007-01-01

Several studies have reported on the profitability of automatic milking based on different simulation models, but a data-based study using actual farm data has been lacking. The objective of this study was to analyze the profitability of dairy farms having an automatic milking system (AMS) compared with farms using a conventional milking system (CMS) based on real accounting data. In total, 62 farms (31 using an AMS and 31 using a CMS) were analyzed for the year 2003 in a case control study. Differences between the years 2002 and 2003 also were analyzed by comparing a subgroup of 16 farms with an AMS and 16 farms with a CMS. Matching was based on the time of investment in a milking system (same year), the total milk production per year, and intensity of land use (kg/ha). Results from 2003 showed that the farms with an AMS used, on average, 29% less labor than farms with a CMS. In contrast, farms using a CMS grew faster (37,132 kg of milk quota and 5 dairy cows) than farms with an AMS (-3,756 kg milk quota and 0.5 dairy cows) between 2002 and 2003. Dairy farmers with a CMS had larger (euro7,899) revenues than those with an AMS. However, no difference in the margin on dairy production was detected, partly because of numerically greater (euro6,822) variable costs on CMS farms. Dairy farms were compared financially based on the amount of money that was available for rent, depreciation, interest, labor, and profit (RDILP). The CMS farms had more money (euro15,566) available for RDILP than the AMS farms. This difference was caused by larger fixed costs (excluding labor) for the AMS farms, larger contractor costs (euro6,422), and larger costs for gas, water, and electricity (euro1,549). Differences in costs for contractors and for gas, water, and electricity were statistically significant. When expressed per full-time employee, AMS farms had greater revenues, margins, and gross margins per full-time employee than did CMS farms. This resulted in a substantially greater

Dairy Tool Box Talks: a comprehensive worker training in dairy farming

Directory of Open Access Journals (Sweden)

Maristela Rovai

2016-07-01

Full Text Available Today’s dairies are growing rapidly, with increasing dependence on Latino immigrant workers. This requires new educational strategies for improving milk quality and introduction to state-of-the-art dairy farming practices. It also creates knowledge gaps pertaining to the health of animals and workers, mainly due to lack of time and language barriers. Owners, managers and herdsmen assign training duties to more experienced employees, which may not promote ‘best practices’ and may perpetuate bad habits. A comprehensive and periodic training program administered by qualified personnel is currently needed and will enhance the sustainability of the dairy industry. Strategic management and employee satisfaction will be achieved through proper training in the employee’s language, typically Spanish. The training needs to address not only current industry standards but also social and cultural differences. An innovative training course was developed following the same structure used by the engineering and construction industries, giving farm workers basic understanding of animal care and handling, cow comfort and personal safety. The Dairy Tool Box Talks program was conducted over a ten week period with nine 30-minute sessions according to farm’s various employee work shifts. Bulk milk bacterial counts and somatic cell count were used to evaluate milk quality on the three dairy farms participating in the program.Dairy Tool Box Talks resulted in a general sense of employee satisfaction, significant learning outcomes, and enthusiasm about the topics covered. We conclude this article by highlighting the importance of educational programs aimed at improving overall cross-cultural training.

Benefit-Cost Analysis of Foot-and-Mouth Disease Vaccination at the Farm-Level in South Vietnam.

Science.gov (United States)

Truong, Dinh Bao; Goutard, Flavie Luce; Bertagnoli, Stéphane; Delabouglise, Alexis; Grosbois, Vladimir; Peyre, Marisa

2018-01-01

This study aimed to analyze the financial impact of foot-and-mouth disease (FMD) outbreaks in cattle at the farm-level and the benefit-cost ratio (BCR) of biannual vaccination strategy to prevent and eradicate FMD for cattle in South Vietnam. Production data were collected from 49 small-scale dairy farms, 15 large-scale dairy farms, and 249 beef farms of Long An and Tay Ninh province using a questionaire. Financial data of FMD impacts were collected using participatory tools in 37 villages of Long An province. The net present value, i.e., the difference between the benefits (additional revenue and saved costs) and costs (additional costs and revenue foregone), of FMD vaccination in large-scale dairy farms was 2.8 times higher than in small-scale dairy farms and 20 times higher than in beef farms. The BCR of FMD vaccination over 1 year in large-scale dairy farms, small-scale dairy farms, and beef farms were 11.6 [95% confidence interval (95% CI) 6.42-16.45], 9.93 (95% CI 3.45-16.47), and 3.02 (95% CI 0.76-7.19), respectively. The sensitivity analysis showed that varying the vaccination cost had more effect on the BCR of cattle vaccination than varying the market price. This benefit-cost analysis of biannual vaccination strategy showed that investment in FMD prevention can be financially profitable, and therefore sustainable, for dairy farmers. For beef cattle, it is less certain that vaccination is profitable. Additional benefit-cost analysis study of vaccination strategies at the national-level would be required to evaluate and adapt the national strategy to achieve eradication of this disease in Vietnam.

Risk-based audit selection of dairy farms

NARCIS (Netherlands)

Asseldonk, van M.A.P.M.; Velthuis, A.G.J.

2014-01-01

Dairy farms are audited in the Netherlands on numerous process standards. Each farm is audited once every 2 years. Increasing demands for cost-effectiveness in farm audits can be met by introducing risk-based principles. This implies targeting subpopulations with a higher risk of poor process

Propanol in maize silage at Danish dairy farms

DEFF Research Database (Denmark)

Raun, Birgitte Marie Løvendahl; Kristensen, Niels Bastian

2010-01-01

The objective of the present study was to investigate the prevalence maize silage containing propanol, the seasonal variation in propanol content of maize silage, and correlations between propanol and other fermentation products in maize silage collected from 20 randomly selected Danish dairy farms...... farms, the maize silage had ≥5 g propanol/kg DM. The present study indicates that dairy cows in Denmark are commonly exposed to propanol and that approximately 20% of the dairy cows will have an intake in the range of 75-100 g propanol/d under common feeding conditions....

Smart Dairy Farming through Internet of Things

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Poonsri Vate-U-LanAssumption University, Bangkok, Thailand

2017-07-01

Full Text Available The objective of this paper is to report a smart dairy farming in Ontario, Canada, which is a case study for future of food production, and ways that advancements related to the Internet of Things (IoT. It is impacting upon agricultural practice in the form of smart farming. Smart farming is the practice of intelligent agricultural management based upon technological data gathering farm practice for the purpose of increased levels of quality, production, and environmental protection. This paper will illustrate one example whereby partnerships among the academic world, government agencies and local food producing communities in Canada are adapting innovative thinking and smart technologies to address the need to implement the more effective agricultural practice. Food from Thought is a Canadian research project, based upon high-tech information systems to produce enough food for a growing human population while sustaining the Earth’s ecosystems. The paper will outline how one dairy farmer in Ontario has been able to apply smart farming technologies to increase milk production while maintaining the health of his cattle and preserving the environment. The review of applications of smart farming in Ontario such as digital tracking for a cow, genomic testing, digitally signaled birth, sensor driven crop management and data driven dairy production also details in this article.

Hulpmiddelen voor de arbeidsorganisatie op grote melkveebedrijven : eindresultaat van het project "Meer mans met protocollen" = Tools for labor management on large dairy farms

NARCIS (Netherlands)

Zijlstra, J.; Poelarends, J.J.

2009-01-01

A study group of dairy farmers, employees of agricultural employment agencies and research workers in dairy farm management selected and developed nine tools to improve labor management on dairy farms in the Netherlands. The tools cover the fields of standard operating procedures, planning and labor

Training needs of farm women in dairy farming

Directory of Open Access Journals (Sweden)

Durgga Rani V. And Subhadra M.R.

2009-12-01

Full Text Available A study was conducted in Thrissur taluk of Thrissur district to assess the training needs of farm women engaged in dairy farming. It was found that out of the five major farm operations studied, the farm women needed training the most in housing. The minor operations preferred the most for knowledge need were proper design of cattle shed, selection of breeds, compounding balanced feed using locally available ingredients, vaccination and banking and insurance. As for skill need, construction of scientific low cost cattle shed, selection of breeds, compounding balanced feed using locally available ingredients, symptoms of common diseases and banking and insurance were preferred the most. [Vet World 2009; 2(6.000: 221-223

Carbon footprint from dairy farming system

DEFF Research Database (Denmark)

Della Riva, A.; Kristensen, Troels; De Marchi1, M.

2014-01-01

Aim of the present study was to estimate the carbon footprint (CF) of milk production at farm gate considering two dairy cattle breeds, Holstein Friesian (HF) and Jersey (JE). Using Italian inventory data the emissions of CO2eq per kg ECM for dairy herds of HF and JE breed were estimated. The res......Aim of the present study was to estimate the carbon footprint (CF) of milk production at farm gate considering two dairy cattle breeds, Holstein Friesian (HF) and Jersey (JE). Using Italian inventory data the emissions of CO2eq per kg ECM for dairy herds of HF and JE breed were estimated....... The results show 0.80 kg CO2eq/kg ECM in JE herd, while 0.96 kg CO2eq/kg ECM in HF herd. The main differences were due to the level of dry matter intake, milk yield and fertility traits. Indeed, JE herd showed a lower milk yield than HF herd, a lower DMI and better fertility, determining less production...

Factors influencing energy demand in dairy farming | Kraatz | South ...

African Journals Online (AJOL)

The efficiency of energy utilization is one of the key indicators for developing more sustainable agricultural practices. Factors influencing the energy demand in dairy farming are the cumulative energy demand for feed-supply, milk yield as well as the replacement rate of cows. The energy demand of dairy farming is ...

Paratuberculosis on small ruminant dairy farms in Ontario, Canada: A survey of management practices.

Science.gov (United States)

Bauman, Cathy A; Jones-Bitton, Andria; Menzies, Paula; Jansen, Jocelyn; Kelton, David

2016-05-01

A cross-sectional study was undertaken (October 2010 to August 2011) to determine the risk factors for dairy goat herds and dairy sheep flocks testing positive for paratuberculosis (PTB) in Ontario, Canada. A questionnaire was administered to 50 producers during a farm visit in which concurrently, 20 randomly selected, lactating animals over the age of 2 years underwent sampling for paratuberculosis testing. Only 1 of 50 farms (2.0%) was closed to animal movement, whereas 96.6% of dairy goat farms and 94.1% of sheep farms purchased livestock from other producers. Only 10.3% of dairy goat, and no dairy sheep farms used artificial insemination. Manure was spread on grazing pastures by 65.5% and 70.6% of dairy goat and dairy sheep farms, respectively. Because of the high true-prevalence of paratuberculosis infection detected, no risk factor analysis could be performed. This study demonstrates that biosecurity practices conducive to transmission of PTB are highly prevalent in Ontario small ruminant dairy farms.

ECONOMICS ANALYSIS OF OPTIMAL MILK PRODUCTION IN SMALL-SCALE DAIRY FARMING IN YOGYAKARTA, INDONESIA

Directory of Open Access Journals (Sweden)

Himawan Arif

2015-12-01

Full Text Available Dairy farm, which produces calf and milk jointly, is expected to raise household’s income in rural areas where potential resources are available. This study aims at examing the optimal production of milk and calf by estimating a relationship between both productions. The study was conducted in Sleman,Yogyakartawhere dairy farms exist. Theory used in this study is economies scope in joint production. The results of study indicate that the level of joint production is still low such that there is no degree in economies of scope. Consequently, household’s income generated from this farm has not been maximised. To increase the income, it can be conducted by two consecutive steps. First, is to increase the production milk and calf jointly until the degree of economies of scope reached. Second, is to produce milk and calf in the best combination after reaching economies of scope. Recently, the best way to maximise income is to produce calf as low as possible, and to increase the period of producing milk.  

Benefit–Cost Analysis of Foot-and-Mouth Disease Vaccination at the Farm-Level in South Vietnam

Directory of Open Access Journals (Sweden)

Dinh Bao Truong

2018-02-01

Full Text Available This study aimed to analyze the financial impact of foot-and-mouth disease (FMD outbreaks in cattle at the farm-level and the benefit–cost ratio (BCR of biannual vaccination strategy to prevent and eradicate FMD for cattle in South Vietnam. Production data were collected from 49 small-scale dairy farms, 15 large-scale dairy farms, and 249 beef farms of Long An and Tay Ninh province using a questionaire. Financial data of FMD impacts were collected using participatory tools in 37 villages of Long An province. The net present value, i.e., the difference between the benefits (additional revenue and saved costs and costs (additional costs and revenue foregone, of FMD vaccination in large-scale dairy farms was 2.8 times higher than in small-scale dairy farms and 20 times higher than in beef farms. The BCR of FMD vaccination over 1 year in large-scale dairy farms, small-scale dairy farms, and beef farms were 11.6 [95% confidence interval (95% CI 6.42–16.45], 9.93 (95% CI 3.45–16.47, and 3.02 (95% CI 0.76–7.19, respectively. The sensitivity analysis showed that varying the vaccination cost had more effect on the BCR of cattle vaccination than varying the market price. This benefit-cost analysis of biannual vaccination strategy showed that investment in FMD prevention can be financially profitable, and therefore sustainable, for dairy farmers. For beef cattle, it is less certain that vaccination is profitable. Additional benefit-cost analysis study of vaccination strategies at the national-level would be required to evaluate and adapt the national strategy to achieve eradication of this disease in Vietnam.

Effects of switching between production systems in dairy farming

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Antonio Alvarez

2015-05-01

Full Text Available The increasing intensification of dairy farming in Europe has sparked an interest in studying the economic consequences of this process. However, empirically classifying farms as extensive or intensive is not a straightforward task. In recent papers, Latent Class Models (LCM have been used to avoid an ad-hoc split of the sample into intensive and extensive dairy farms. A limitation of current specifications of LCM is that they do not allow farms to switch between different productive systems over time. This feature of the model is at odds with the process of intensification of the European dairy industry in recent decades. We allow for changes of production system over time by estimating a single LCM model but splitting the original panel into two periods, and find that the probability of using the intensive technology increases over time. Our estimation proposal opens up the possibility of studying the effects of intensification not only across farms but also over time.

Micro-economic analysis of alternative policies for Dutch dairy farming

NARCIS (Netherlands)

Boots, M.

1999-01-01

The dairy sector is to a large extent influenced and restricted by environmental and agricultural policies. These policies are often very detailed in nature and oriented at the farm level. That is, policy measures and regulations, such as taxes and support payments often depend on local

Risk-based audit selection of dairy farms.

Science.gov (United States)

van Asseldonk, M A P M; Velthuis, A G J

2014-02-01

Dairy farms are audited in the Netherlands on numerous process standards. Each farm is audited once every 2 years. Increasing demands for cost-effectiveness in farm audits can be met by introducing risk-based principles. This implies targeting subpopulations with a higher risk of poor process standards. To select farms for an audit that present higher risks, a statistical analysis was conducted to test the relationship between the outcome of farm audits and bulk milk laboratory results before the audit. The analysis comprised 28,358 farm audits and all conducted laboratory tests of bulk milk samples 12 mo before the audit. The overall outcome of each farm audit was classified as approved or rejected. Laboratory results included somatic cell count (SCC), total bacterial count (TBC), antimicrobial drug residues (ADR), level of butyric acid spores (BAB), freezing point depression (FPD), level of free fatty acids (FFA), and cleanliness of the milk (CLN). The bulk milk laboratory results were significantly related to audit outcomes. Rejected audits are likely to occur on dairy farms with higher mean levels of SCC, TBC, ADR, and BAB. Moreover, in a multivariable model, maxima for TBC, SCC, and FPD as well as standard deviations for TBC and FPD are risk factors for negative audit outcomes. The efficiency curve of a risk-based selection approach, on the basis of the derived regression results, dominated the current random selection approach. To capture 25, 50, or 75% of the population with poor process standards (i.e., audit outcome of rejected), respectively, only 8, 20, or 47% of the population had to be sampled based on a risk-based selection approach. Milk quality information can thus be used to preselect high-risk farms to be audited more frequently. Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Grazing management for Nordic organic dairy farming

OpenAIRE

Kuusela, Eeva

2005-01-01

The aims of this study were to identify limiting factors and to develop adjusted grazing management for Nordic organic dairy farming conditions. The focus was to combine the aspects of plant, animal and organic production, as they are all involved in organic dairy pastures.

Efficiency of dairy production on a family farm

Directory of Open Access Journals (Sweden)

Zoran Grgić

2002-01-01

Full Text Available This paper presents the evaluation of economic efficiency of dairyproduction on a family farm with 14 dairy cows in the breeding stock, and with average production from 3.206 to 3.407 lit. of milk annually. On the basis of survey data for three-year period from 1998 to 2000, economic indicators were calculated, as well as the cost price of milk, income and the revenue of total production and per production head. In the family farm with an average annual sale from 2.827 to 2.972 lit. of milk per head, total revenue has been realized from 44.884 to 47.695 kuna and the profit from 606 to 8.515 kuna. Revenues per production head were from 5.655 to 6.495 kuna and the profitfrom 177 to 726 kuna. The milk cost price in the analyzed period was 1.71, 1.66 and 1.69 kn. per lit, and the profit per liter of milk was 0.06, and 0.21 kn. Basic economic indicators point out on efficiency of dairy production for the investigated farm on the stated production level. The biggest influence on the dairy production efficiency on the farm, regarding the cost price structure, has been registered from the costs of fodder production, while the favorable parity of the cost price and producer-sale price of milk determines the increase in dairy production efficiency and income from dairy production in the analyzed period.

Environmental impact of heifer management decisions on Dutch dairy farms

NARCIS (Netherlands)

Mourits, M.C.M.; Berentsen, P.B.M.; Huirne, R.B.M.; Dijkhuizen, A.A.

2000-01-01

Dairy farming contributes substantially to Dutch environmental problems. A dynamic heifer rearing model was used to determine the extent to which the rearing activity influences nutrient flows on a dairy farm. Based on current rearing conditions, the economic optimal rearing policy resulted in an

Limits of effective nutrient management in dairy farming: analyses of experimental farm De Marke

NARCIS (Netherlands)

Verloop, K.

2013-01-01

Key words: nutrient management, dairy, prototyping, organic matter, soil fertility, nitrogen, phosphor.

Intensive dairy production in the Netherlands is associated with high farm nutrient (N and P) inputs and high losses to the environment. The Dutch government and the dairy sector

What is the benefit of organically-reared dairy cattle? Societal perception towards conventional and organic dairy farming

Directory of Open Access Journals (Sweden)

Inken Christoph-Schulz

2015-07-01

Full Text Available During the last years, current systems in agriculture and food production have been topic in public discussions. Especially modern animal husbandry seems not to match consumers’ or societal needs any longer. This paper concentrates on the society’s perspective regarding dairy farming in general and diverting perceptions and expectations with respect to dairy cattle either reared organically or reared conventionally. It aims to give orientation to farmers as well as policymakers about the societal point of view of dairy farming.Six focus groups were carried out in three German cities to capture the scope of opinions and expectations among the population. Three of those groups consisted of participants buying mainly organic food while the other three comprised citizens buying mainly conventional food.With respect to society’s perception of today’s dairy farming results showed that participants put emphasis on the following topics: the space for each cow was considered as insufficient and not species-appropriate, assumed application of medications as too high, and in particular the prophylactic use of antibiotics as problematic.Asked about perceived differences between organic versus conventional farming it became obvious that organic in contrast to the conventional farming was perceived as more species-appropriate. More or less, all previously criticized aspects seem to be regarded as irrelevant in organic farming. Some participants showed a very romantic view of organic dairy farming. The most critical point was an assumed high rate of rogue traders among organic farmers.

Contribution of large scale coherence to wind turbine power: A large eddy simulation study in periodic wind farms

Science.gov (United States)

Chatterjee, Tanmoy; Peet, Yulia T.

2018-03-01

Length scales of eddies involved in the power generation of infinite wind farms are studied by analyzing the spectra of the turbulent flux of mean kinetic energy (MKE) from large eddy simulations (LES). Large-scale structures with an order of magnitude bigger than the turbine rotor diameter (D ) are shown to have substantial contribution to wind power. Varying dynamics in the intermediate scales (D -10 D ) are also observed from a parametric study involving interturbine distances and hub height of the turbines. Further insight about the eddies responsible for the power generation have been provided from the scaling analysis of two-dimensional premultiplied spectra of MKE flux. The LES code is developed in a high Reynolds number near-wall modeling framework, using an open-source spectral element code Nek5000, and the wind turbines have been modelled using a state-of-the-art actuator line model. The LES of infinite wind farms have been validated against the statistical results from the previous literature. The study is expected to improve our understanding of the complex multiscale dynamics in the domain of large wind farms and identify the length scales that contribute to the power. This information can be useful for design of wind farm layout and turbine placement that take advantage of the large-scale structures contributing to wind turbine power.

Farm-Specific Risk Analysis in Dairy Farming: A Case Study from Turkey

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Hatice Kizilay

2016-07-01

Full Text Available The purposes of this study were to determine the socio-economic characteristics of dairy farmers in Antalya, in Turkey, calculate the gross income, variable costs and gross margin of dairy farms, determine the probability distributions of consequences for alternative decisions to enable dairy farmers as decision makers to make a good and well-informed choice, to determine cross effects of milk prices variations on the productive strategy of dairy farms. The data were gathered via face to face interviews in Korkuteli, Dosemealtı, Elmalı, Manavgat and Serik counties of Antalya province in Turkey. The survey study was conducted with 80 farmers, who were member of Dairy Cow Breaders Union, in the 2011 production period. In this study, on the basis of previous experience, dairy farmers assigned minimum, maximum and most likely values of milk price and yield over the next period of 5 years. Then, triangular and cumulative distributions were defined by using these values. Moreover, Monte Carlo Stochastic Simulation model was developed to obtain distribution of expected gross margin per cow. The model and triangular and cumulative distributions were built in Excel with @Risk add-in software. The relationship of mean risk aversion coefficient, calculated by using negative exponential function, with both average gross margin and gross margin standard deviation values determined for each farm was examined. The results show that the relation between average gross margin and mean risk aversion coefficient was negative and significant at 5% level. But, although the relation between gross margin standard deviation and mean risk aversion coefficient was found to be negative, it was not significant at 5% level.

Anaerobic digester systems (ADS) for multiple dairy farms: A GIS analysis for optimal site selection

International Nuclear Information System (INIS)

Thompson, Ethan; Wang, Qingbin; Li, Minghao

2013-01-01

While anaerobic digester systems (ADS) have been increasingly adopted by large dairy farms to generate marketable energy products, like electricity, from animal manure, there is a growing need for assessing the feasibility of regional ADS for multiple farms that are not large enough to capitalize their own ADS. Using geographical information system (GIS) software, this study first identifies potential sites in a dairy region in Vermont, based on geographical conditions, current land use types, and energy distribution infrastructure criteria, and then selects the optimal sites for a given number of ADS, based on the number of dairy farms to be served, the primary energy input to output (PEIO) ratio of ADS, and the existing transportation network. This study suggests that GIS software is a valid technical tool for identifying the potential and optimal sites for ADS. The empirical findings provide useful information for assessing the returns of alternative numbers of ADS in this region, and the research procedures can be modified easily to incorporate any changes in the criteria for this region and can be applied in other regions with different conditions and criteria. - Highlights: • This study examines the feasibility of regional ADS for multiple dairy farms. • GIS is used to identify candidate sites and optimal locations for ADS in a dairy region. • Model includes environmental, social, infrastructure, and energy return criteria. • Empirical analysis provides scenario results on 1–15 ADS in the study region. • Method could be applied to other regions with different conditions and criteria

Dairy farming: indoor v. pasture-based feeding

OpenAIRE

HOFSTETTER, P.; FREY, H.-J; GAZZARIN, C.; WYSS, U.; KUNZ, P.

2017-01-01

The current situation of volatile milk prices and rising costs of, e.g. grain and labour, suggests that it is worth studying productivity and efficiency in dairy farming. The objective of the current whole-system study, carried out in lowland Central Switzerland from 2007 to 2010, was to compare the performance, efficiency, land productivity and profitability of indoor-feeding (IF) dairy production with that of pasture-based feeding (PF) dairy production. An IF herd consisting of 11 Holstein-...

Chain cooperation as a critical success factor in Smart Dairy Farming

NARCIS (Netherlands)

Lokhorst, C.; Wulfse, B.J.

2015-01-01

The Dutch Smart Dairy Farming (SDF) consortium works on proof of concept and on development of sensors, IT infrastructure, decision models and work instructions designed to support dairy farmers and farm advisors in extending the lifespan of their cows. Various companies (chain partners Friesland

Reducing nitrate leaching to groundwater in an intensive dairy farming system

NARCIS (Netherlands)

Verloop, J.; Boumans, L.J.M.; Keulen, van H.; Oenema, J.; Hilhorst, G.J.; Aarts, H.F.M.; Sebek, L.B.J.

2006-01-01

Dairy farming is one of the main contributors to nitrate leaching to groundwater, particularly on soils that are susceptible to leaching, such as light well-drained sandy soils. In the Netherlands, as in many other European countries, these soils are predominantly used for dairy farming. A prototype

Climate change-related risks and adaptation strategies as perceived in dairy cattle farming systems in Tunisia

Directory of Open Access Journals (Sweden)

Hajer Amamou

Full Text Available The perception of risks due to climate change by farmers and the measures they take to address those risks are of paramount importance in policy-making if the implementations of targeted adaptation and mitigation strategies are to be economically and environmentally sustainable. This study focused on Tunisian dairy farmers’ perceptions of the risks and the actions taken to cope with changes attributable to climate change. Using a bottom-up approach, 566 surveys were carried out randomly among dairy farmers throughout Tunisia. A total of 70 diagnostic variables relating to farm characteristics, resources, management, performances and profit, in addition to climate change risk perception and adaptation strategies, were identified and analyzed. Using multivariate statistical analysis, four dairy farming groups were identified. The largest proportions of farmers belonged to the two above-ground dairy systems: without utilized agricultural areas; and with non-dairy utilized agricultural areas (Clusters 1 and 2. A minority of farmers belonged to medium-sized and large farms that specialized in milk production (Clusters 3 and 4 and has access to sufficient land, water and capital resources. In all the clusters, almost all the farmers perceived that the greatest impact of climate change would be on cow performance and forage production. The attitudes of the farmers towards adaptation to climate change are associated with farm typology. They focused mainly on increasing water capacity for livestock and crop production and improving livestock and housing conditions. The knowledge obtained from this study could be helpful for decision-makers and stakeholders in efforts to develop policies for farm management practices that address climate change and can be adapted to the country’s diverse farming systems. Keywords: Dairy farming system, Typology, Adaptation, Climate change

Economic and agricultural transformation through large-scale farming : impacts of large-scale farming on local economic development, household food security and the environment in Ethiopia

NARCIS (Netherlands)

Bekele, M.S.

2016-01-01

This study examined impacts of large-scale farming in Ethiopia on local economic development, household food security, incomes, employment, and the environment. The study adopted a mixed research approach in which both qualitative and quantitative data were generated from secondary and primary

Chlamydia abortus in Dairy Farms in Costa Rica

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Lisa Fonseca Salazar

2015-10-01

Full Text Available The aim of the present study was to determine the presence of antibodies against Chlamydia abortus in specialized dairy farms. A total of 608 blood samples were collected during 2012 from 24 dairy farms located in the Northern regions of the provinces of Alajuela (15 and Heredia (9, and surveys were carried out to determine management practices in these farms. Serum samples were analyzed by enzyme-linked immunosorbent assay (ELISA to detect antibodies against C. abortus (sensitivity 100.0%, specificity 99.7%. Only one serum yielded positive results (S/P 62 %, two sera weak positive results (S/P 51% and 52%, respectively, while the remaining sera (n=605 were negative in ELISA. Six months later, 22 animals that showed S/P values >22% in ELISA were analyzed again, yielding all negative results. Blood, milk, conjunctival and vulvar swabs from these animals were analyzed by Polymerase Chain Reaction (PCR, and only one vulvar swab tested positive for Chlamydia spp. The analysis of the management practices and results obtained with ELISA and PCR lead us to conclude that C. abortus is not significantly present (<0.5% in dairy farms in the Northern regions of the provinces of Heredia and Alajuela in Costa Rica.

Invited review: Learning from the future-A vision for dairy farms and cows in 2067.

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Britt, J H; Cushman, R A; Dechow, C D; Dobson, H; Humblot, P; Hutjens, M F; Jones, G A; Ruegg, P S; Sheldon, I M; Stevenson, J S

2018-05-01

The world's population will reach 10.4 billion in 2067, with 81% residing in Africa or Asia. Arable land available for food production will decrease to 0.15 ha per person. Temperature will increase in tropical and temperate zones, especially in the Northern Hemisphere, and this will push growing seasons and dairy farming away from arid areas and into more northern latitudes. Dairy consumption will increase because it provides essential nutrients more efficiently than many other agricultural systems. Dairy farming will become modernized in developing countries and milk production per cow will increase, doubling in countries with advanced dairying systems. Profitability of dairy farms will be the key to their sustainability. Genetic improvements will include emphasis on the coding genome and associated noncoding epigenome of cattle, and on microbiomes of dairy cattle and farmsteads. Farm sizes will increase and there will be greater lateral integration of housing and management of dairy cattle of different ages and production stages. Integrated sensors, robotics, and automation will replace much of the manual labor on farms. Managing the epigenome and microbiome will become part of routine herd management. Innovations in dairy facilities will improve the health of cows and permit expression of natural behaviors. Herds will be viewed as superorganisms, and studies of herds as observational units will lead to improvements in productivity, health, and well-being of dairy cattle, and improve the agroecology and sustainability of dairy farms. Dairy farmers in 2067 will meet the world's needs for essential nutrients by adopting technologies and practices that provide improved cow health and longevity, profitable dairy farms, and sustainable agriculture. Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Assessing agro-environmental performance of dairy farms in northwest Italy based on aggregated results from indicators.

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Gaudino, Stefano; Goia, Irene; Grignani, Carlo; Monaco, Stefano; Sacco, Dario

2014-07-01

Dairy farms control an important share of the agricultural area of Northern Italy. Zero grazing, large maize-cropped areas, high stocking densities, and high milk production make them intensive and prone to impact the environment. Currently, few published studies have proposed indicator sets able to describe the entire dairy farm system and their internal components. This work had four aims: i) to propose a list of agro-environmental indicators to assess dairy farms; ii) to understand which indicators classify farms best; iii) to evaluate the dairy farms based on the proposed indicator list; iv) to link farmer decisions to the consequent environmental pressures. Forty agro-environmental indicators selected for this study are described. Northern Italy dairy systems were analysed considering both farmer decision indicators (farm management) and the resulting pressure indicators that demonstrate environmental stress on the entire farming system, and its components: cropping system, livestock system, and milk production. The correlations among single indicators identified redundant indicators. Principal Components Analysis distinguished which indicators provided meaningful information about each pressure indicator group. Analysis of the communalities and the correlations among indicators identified those that best represented farm variability: Farm Gate N Balance, Greenhouse Gas Emission, and Net Energy of the farm system; Net Energy and Gross P Balance of the cropping system component; Energy Use Efficiency and Purchased Feed N Input of the livestock system component; N Eco-Efficiency of the milk production component. Farm evaluation, based on the complete list of selected indicators demonstrated organic farming resulted in uniformly high values, while farms with low milk-producing herds resulted in uniformly low values. Yet on other farms, the environmental quality varied greatly when different groups of pressure indicators were considered, which highlighted the

Risk Factors for Developing Work-Related Musculoskeletal Disorders during Dairy Farming

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Sayed Mohammad Taghavi

2017-01-01

Full Text Available Background: Dairy farming work involves frequent use of poor postures. These postures may increase the risk of developing musculoskeletal disorders among dairy workers. Objective: To assess postural load during performance of various tasks related to dairy farming. Methods: This cross-sectional study was conducted on a dairy farm in Iran. In order to assess postural load, tasks related to dairy farming were divided into 3 categories: feeding, milking, and manure disposal. Each task was then divided into its constituent work subdivisions (tasks. Finally, the working posture for each work subdivision was evaluated using Rapid Entire Body Assessment (REBA. Results: Based on the results from the REBA score, the poorest risk scores (risk level 4 were associated with the following tasks: (1 manure disposal, (2 filling feed bags, and (3 pouring milk into a bucket. Other tasks such as filling corn containers, pouring corn into the milling machine, preparing the feed, pouring food into mangers, attaching the milking machine, and pouring milk from a bucket into a tank imposed high risk (risk level 3. The risk for the tasks of washing and disinfecting the udders were assessed as medium risks. Conclusion: The risk levels associated with most of the tasks on the studied farm were unacceptably high. Therefore, it is essential to implement ergonomic interventions to reduce risk levels of the tasks.

Risk Factors for Developing Work-Related Musculoskeletal Disorders during Dairy Farming.

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Taghavi, Sayed Mohammad; Mokarami, Hamidreza; Ahmadi, Omran; Stallones, Lorann; Abbaspour, Asghar; Marioryad, Hossein

2017-01-01

Dairy farming work involves frequent use of poor postures. These postures may increase the risk of developing musculoskeletal disorders among dairy workers. To assess postural load during performance of various tasks related to dairy farming. This cross-sectional study was conducted on a dairy farm in Iran. In order to assess postural load, tasks related to dairy farming were divided into 3 categories: feeding, milking, and manure disposal. Each task was then divided into its constituent work subdivisions (tasks). Finally, the working posture for each work subdivision was evaluated using Rapid Entire Body Assessment (REBA). Based on the results from the REBA score, the poorest risk scores (risk level 4) were associated with the following tasks: (1) manure disposal, (2) filling feed bags, and (3) pouring milk into a bucket. Other tasks such as filling corn containers, pouring corn into the milling machine, preparing the feed, pouring food into mangers, attaching the milking machine, and pouring milk from a bucket into a tank imposed high risk (risk level 3). The risk for the tasks of washing and disinfecting the udders were assessed as medium risks. The risk levels associated with most of the tasks on the studied farm were unacceptably high. Therefore, it is essential to implement ergonomic interventions to reduce risk levels of the tasks.

Is the Modern High Potential Dairy Cow Suitable for Organic Farming Conditions?

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Harðarson Grétar H

2002-03-01

Full Text Available It is not acceptable to compromise animal welfare in any system of farming. Feeding should be aimed at meeting the nutritional requirements at the various stages of production. This paper deals with the detrimental effects that organic, extensive or low input farming systems may have on the energy status in early lactation of the high potential dairy cow. Bovine ketosis is the most important disease resulting from insufficient energy intake in early lactation. It is also important to realize that ketosis is a part of the so-called periparturient disease complex, which includes milk fever, mastitis, retained placenta, endometritis and poor fertility also. All these diseases are interrelated and reflect to a large extent the nutritional status of the animal. If organic dairy farming is to be successful the breeding programmes have to divert from selection for high yields as a main goal, to more emphasis on a flatter lactation curve, less production diseases and longevity.

The dairy industry: a brief description of production practices, trends, and farm characteristics around the world.

Science.gov (United States)

Douphrate, David I; Hagevoort, G Robert; Nonnenmann, Matthew W; Lunner Kolstrup, Christina; Reynolds, Stephen J; Jakob, Martina; Kinsel, Mark

2013-01-01

The global dairy industry is composed of a multitude of countries with unique production practices and consumer markets. The global average number of cows per farm is about 1-2 cows; however, as a farm business model transitions from sustenance to market production, the average herd size, and subsequent labor force increases. Dairy production is unique as an agricultural commodity because milk is produced daily, for 365 days per year. With the introduction of new technology such as the milking parlor, the global industry trend is one of increasing farm sizes. The farm sizes are the largest in the United States; however, the European Union produces the most milk compared with other global producers. Dairy production is essential for economic development and sustainable communities in rural areas. However, the required capital investment and availability of local markets and labor are continued challenges. Due to farm expansion, international producers are faced with new challenges related to assuring food safety and a safe working environment for their workforce. These challenges exist in addition to the cultural and language barriers related to an increasing dependence on immigrant labor in many regions of the world. Continued success of the global dairy industry is vital. Therefore, research should continue to address the identification of occupational risk factors associated with injuries and illnesses, as well as develop cost-effective interventions and practices that lead to the minimization or elimination of these injuries and illnesses on a global scale, among our valuable population of dairy producers and workers.

Canada's first on-farm cow-powered dairy

Energy Technology Data Exchange (ETDEWEB)

Anon

2011-07-15

Bakerview EcoDairy in British Columbia, Canada, has invented a new technology which converts cow manure into clean renewable energy. It has already been connected to B.C.'s electricity grid. In addition, this project also produces fewer greenhouse gas emissions, less odour from manure and smaller amounts of manure than run-off into local water supplies. Apart from generating clean electricity, this technology can also create heat, fertilizer and cow bedding for the farm. For example, the byproduct - biogas - can be used to create electricity using a generator. All of these sustainable initiatives make Bakerview EcoDairy the first on-farm, cow-powered dairy and show its creativity, innovation and leadership in sustainability.

Economic and environmental consequences of technical and institutional change in Dutch dairy farming.

NARCIS (Netherlands)

Berentsen, P.B.M.; Giesen, G.W.J.; Renkema, J.A.

1997-01-01

A linear programming model of a dairy farm was used to explore the future for different types of Dutch dairy farms under different scenarios. The scenarios are consistent sets of changing factors that are considered external at farm level. The factors included are technical, such as efficiency of

A survey of bacteria found in Belgian dairy farm products

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N'Guessan, E.

2015-01-01

Full Text Available Description of the subject. Due to the potential hazards caused by pathogenic bacteria, farm dairy production remains a challenge from the point of view of food safety. As part of a public program to support farm diversification and short food supply chains, farm dairy product samples including yogurt, ice cream, raw-milk butter and cheese samples were collected from 318 Walloon farm producers between 2006 and 2014. Objectives. Investigation of the microbiological quality of the Belgian dairy products using the guidelines provided by the European food safety standards. Method. The samples were collected within the framework of the self-checking regulation. In accordance with the European Regulation EC 2073/2005, microbiological analyses were performed to detect and count Enterobacteriaceae, Listeria monocytogenes, Salmonella spp., Escherichia coli and Staphylococcus aureus. Results. Even when results met the microbiological safety standards, hygienic indicator microorganisms like E. coli and S. aureus exceeded the defined limits in 35% and 4% of butter and cheese samples, respectively. Unsatisfactory levels observed for soft cheeses remained higher (10% and 2% for S. aureus and L. monocytogenes respectively than those observed for pressed cheeses (3% and 1% and fresh cheeses (3% and 0% (P ≥ 0.05. Furthermore, the percentages of samples outside legal limits were not significantly higher in the summer months than in winter months for all mentioned bacteria. Conclusions. This survey showed that most farm dairy products investigated were microbiologically safe. However, high levels of hygiene indicators (e.g., E. coli in some products, like butter, remind us of applying good hygienic practices at every stage of the dairy production process to ensure consumer safety.

Consumers' Motivations and Dairy Production Beliefs Regarding Participation in an Educational Dairy Farm Event

Science.gov (United States)

LaFollette, Lindsay K.; Knobloch, Neil A.; Schutz, Michael M.; Brady, Colleen M.

2015-01-01

Exploratory discriminant analysis was used to determine the extent adult consumers' interest motivation to participate in a free educational dairy farm event and their beliefs of the dairy industry could correctly classify the respondents' predicted participation in a nonformal educational event. The most prominent conclusion of the study was that…

Bi-Level Decentralized Active Power Control for Large-Scale Wind Farm Cluster

DEFF Research Database (Denmark)

Huang, Shengli; Wu, Qiuwei; Guo, Yifei

2018-01-01

This paper presents a bi-level decentralized active power control (DAPC) for a large-scale wind farm cluster, consisting of several wind farms for better active power dispatch. In the upper level, a distributed active power control scheme based on the distributed consensus is designed to achieve...... fair active power sharing among multiple wind farms, which generates the power reference for each wind farm. A distributed estimator is used to estimate the total available power of all wind farms. In the lower level, a centralized control scheme based on the Model Predictive Control (MPC) is proposed...... to regulate active power outputs of all wind turbines (WTs) within a wind farm, which reduces the fatigue loads of WTs while tracking the power reference obtained from the upper level control. A wind farm cluster with 8 wind farms and totally 160 WTs, was used to test the control performance of the proposed...

A multivariate and stochastic approach to identify key variables to rank dairy farms on profitability.

Science.gov (United States)

Atzori, A S; Tedeschi, L O; Cannas, A

2013-05-01

The economic efficiency of dairy farms is the main goal of farmers. The objective of this work was to use routinely available information at the dairy farm level to develop an index of profitability to rank dairy farms and to assist the decision-making process of farmers to increase the economic efficiency of the entire system. A stochastic modeling approach was used to study the relationships between inputs and profitability (i.e., income over feed cost; IOFC) of dairy cattle farms. The IOFC was calculated as: milk revenue + value of male calves + culling revenue - herd feed costs. Two databases were created. The first one was a development database, which was created from technical and economic variables collected in 135 dairy farms. The second one was a synthetic database (sDB) created from 5,000 synthetic dairy farms using the Monte Carlo technique and based on the characteristics of the development database data. The sDB was used to develop a ranking index as follows: (1) principal component analysis (PCA), excluding IOFC, was used to identify principal components (sPC); and (2) coefficient estimates of a multiple regression of the IOFC on the sPC were obtained. Then, the eigenvectors of the sPC were used to compute the principal component values for the original 135 dairy farms that were used with the multiple regression coefficient estimates to predict IOFC (dRI; ranking index from development database). The dRI was used to rank the original 135 dairy farms. The PCA explained 77.6% of the sDB variability and 4 sPC were selected. The sPC were associated with herd profile, milk quality and payment, poor management, and reproduction based on the significant variables of the sPC. The mean IOFC in the sDB was 0.1377 ± 0.0162 euros per liter of milk (€/L). The dRI explained 81% of the variability of the IOFC calculated for the 135 original farms. When the number of farms below and above 1 standard deviation (SD) of the dRI were calculated, we found that 21

Incidence of clinical mastitis and distribution of pathogens on large Chinese dairy farms.

Science.gov (United States)

Gao, Jian; Barkema, Herman W; Zhang, Limei; Liu, Gang; Deng, Zhaoju; Cai, Lingjie; Shan, Ruixue; Zhang, Shiyao; Zou, Jiaqi; Kastelic, John P; Han, Bo

2017-06-01

Knowledge of the incidence of clinical mastitis (CM) and the distribution of pathogens involved is essential for development of prevention and control programs as well as treatment protocols. No country-wide study on the incidence of CM and the distribution of pathogens involved has been conducted in China. Core objectives of this study were, therefore, to determine the cumulative incidence of CM and the distribution of pathogens causing CM on large Chinese (>500 cows) dairy farms. In addition, associations between the distribution of CM pathogens and bedding materials and seasonal factors were also investigated. Bacterial culture was done on a total of 3,288 CM quarter milk samples from 161 dairy herds (located in 21 provinces) between March 2014 and September 2016. Additional data, including geographical region of herds, herd size, bedding types, and number of CM cases during the last month, were also recorded. Mean cumulative incidence of CM was 3.3 cases per 100 cows per month (range = 1.7 to 8.1). The most frequently isolated pathogens were Escherichia coli (14.4%), Klebsiella spp. (13.0%), coagulase-negative staphylococci (11.3%), Streptococcus dysgalactiae (10.5%), and Staphylococcus aureus (10.2%). Streptococcus agalactiae was isolated from 2.8% of CM samples, whereas Streptococcus uberis were isolated from 2.1% of samples, and 15.8% of 3,288 samples were culture-negative. Coagulase-negative staphylococci, E. coli, and other Enterobacter spp. were more frequently isolated in the northwest than the northeast or south of China. Streptococcus dysgalactiae, other streptococci, and Strep. agalactiae were more frequently isolated in winter (October-March), whereas E. coli and Klebsiella spp. were mostly isolated in summer (April-September). Streptococcus dysgalactiae was more often isolated from CM cases of herds using sand bedding, whereas Klebsiella spp. and other streptococci were more common in herds using organic bedding. The incidence of CM and distribution

De bepaling van TAN-excretie op varkens-, pluimvee- en melkveebedrijven = Quantification of TAN excretion in pig, poultry and dairy farms

NARCIS (Netherlands)

Bikker, P.; Jongbloed, A.W.; Vuuren, van A.M.

2013-01-01

The ammonia emission from farm animals is largely determined by the excretion of total ammoniacal nitrogen (TAN) in the urine. In this report the on-farm collection of data required to calculate TAN excretion on pig, poultry, and dairy farms is addressed.

Opportunities for reducing environmental emissions from forage-based dairy farms

Directory of Open Access Journals (Sweden)

Tom Misselbrook

2013-03-01

Full Text Available Modern dairy production is inevitably associated with impacts to the environment and the challenge for the industry today is to increase production to meet growing global demand while minimising emissions to the environment. Negative environmental impacts include gaseous emissions to the atmosphere, of ammonia from livestock manure and fertiliser use, of methane from enteric fermentation and manure management, and of nitrous oxide from nitrogen applications to soils and from manure management. Emissions to water include nitrate, ammonium, phosphorus, sediment, pathogens and organic matter, deriving from nutrient applications to forage crops and/or the management of grazing livestock. This paper reviews the sources and impacts of such emissions in the context of a forage-based dairy farm and considers a number of potential mitigation strategies, giving some examples using the farm-scale model SIMSDAIRY. Most of the mitigation measures discussed are associated with systemic improvements in the efficiency of production in dairy systems. Important examples of mitigations include: improvements to dairy herd fertility, that can reduce methane and ammonia emissions by up to 24 and 17%, respectively; diet modification such as the use of high sugar grasses for grazing, which are associated with reductions in cattle N excretion of up to 20% (and therefore lower N losses to the environment and potentially lower methane emissions, or reducing the crude protein content of the dairy cow diet through use of maize silage to reduce N excretion and methane emissions; the use of nitrification inhibitors with fertiliser and slurry applications to reduce nitrous oxide emissions and nitrate leaching by up to 50%. Much can also be achieved through attention to the quantity, timing and method of application of nutrients to forage crops and utilising advances made through genetic improvements.

EFFECTS OF LARGE-SCALE POULTRY FARMS ON AQUATIC MICROBIAL COMMUNITIES: A MOLECULAR INVESTIGATION.

Science.gov (United States)

The effects of large-scale poultry production operations on water quality and human health are largely unknown. Poultry litter is frequently applied as fertilizer to agricultural lands adjacent to large poultry farms. Run-off from the land introduces a variety of stressors into t...

Applying ontologies in the dairy farming domain for big data analysis

NARCIS (Netherlands)

Verhoosel, J.P.C.; Spek, J.C.

2016-01-01

In the Dutch SmartDairyFarming project, main dairy industry organizations like FrieslandCampina, AgriFirm and CRV work together on better decision support for the dairy farmer on daily questions around feeding, insemination, calving and milk production processes. This paper is concerned with the

Factors affecting the technical efficiency of dairy farms in Kosovo

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Egzon BAJRAMI

2017-11-01

Full Text Available A possible accession into the World Trade Organization (WTO and an expected membership in the European Union raise significant opportunities and challenges for the agricultural sector in Kosovo. As a result of these changes, the sector will have to improve efficiency and competitiveness. This research is motivated by the need to understand better the forces that drive competitiveness in the Kosovo dairy sector. This study estimates the technical efficiency (TE of 243 dairy farms in Kosovo and relates TE variation to farm size and other primary determinants of TE. A stochastic frontier production function is estimated using a two-stage procedure. Results reveal that concentrate feed intake, land use per cow, and the number of days cows had been kept on pasture have statistically significant impacts on milk productivity per cow. The mean technical efficiency of dairy farms was estimated at 0.72. The major determinants that increase efficiency are breed improvement, intensification of corn production on the farm, improving concentrate feed intake, and using free-range production systems. Given the results from the technical efficiency analysis, it is crucial for the Government of Kosovo to redesign their dairy policy—specifically their grant investment schemes—and target assistance on improving national herd genetics, promoting free range systems and expanding area planted in corn.

Costs of Producing Biogas at Dairy Farms in The Netherlands

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Solomie A. Gebrezgabher

2010-01-01

Full Text Available By 2020, Dutch dairy chains envisage to be self-sufficient with regard to energy used by dairy farms and dairy processors. This would require dairy farms to produce 25 PJ per year, possibly by a combination of wind, solar and biogas. This paper focuses on biogas. To evaluate the project’s viability we estimated the expected technical and financial performance of 4 types of business models, i.e. “CHP-farm”, “CHP-large”, “green gas” and “central upgrading of green gas”. Data stem from among others 23 biogas plants in the Netherlands. Anticipating that CHP-models and green gas models occur with a likelihood of 40% and 60% respectively, the total number of biogas plants would amount to 232 (1% of dairy farms, including a total of 5 million tons of manure per year (14% of all cattle manure in the Netherlands and annual government subsidies of Euro 295 million. Aggregated annual profits are expected to be positive, but over the project’s total life time there is an expected deficit of Euro 262. For this to change costs of feedstocks or digestate disposal costs would for instance have to go down. Also fully switching to green gas models dampens the deficit. Results are used in current stakeholders debates on the organization of an “energy neutral dairy chain” in the Netherlands. Further analyses incorporating uncertainty around key technical and economic parameters including financial impacts of CO2-reductions are underway.

Economic consequences of investing in sensor systems on dairy farms

NARCIS (Netherlands)

Steeneveld, W.; Hogeveen, H.; Oude Lansink, A.G.J.M.

2015-01-01

The objective of this study was to investigate the impact of investment in sensor systems on productivity change, using farm accounting data. Farm accounting data for the years 2008–2013 was available for 217 Dutch dairy farms. In addition, information was available on the adoption of sensor systems

Greenhouse gas balance of mountain dairy farms as affected by grassland carbon sequestration.

Science.gov (United States)

Salvador, Sara; Corazzin, Mirco; Romanzin, Alberto; Bovolenta, Stefano

2017-07-01

Recent studies on milk production have often focused on environmental impacts analysed using the Life Cycle Assessment (LCA) approach. In grassland-based livestock systems, soil carbon sequestration might be a potential sink to mitigate greenhouse gas (GHG) balance. Nevertheless, there is no commonly shared methodology. In this work, the GHG emissions of small-scale mountain dairy farms were assessed using the LCA approach. Two functional units, kg of Fat and Protein Corrected Milk (FPCM) and Utilizable Agricultural Land (UAL), and two different emissions allocations methods, no allocation and physical allocation, which accounts for the co-product beef, were considered. Two groups of small-scale dairy farms were identified based on the Livestock Units (LU) reared: 30 LU (HLU). Before considering soil carbon sequestration in LCA, performing no allocation methods, LLU farms tended to have higher GHG emission than HLU farms per kg of FPCM (1.94 vs. 1.59 kg CO 2 -eq/kg FPCM, P ≤ 0.10), whereas the situation was reversed upon considering the m 2 of UAL as a functional unit (0.29 vs. 0.89 kg CO 2 -eq/m 2 , P ≤ 0.05). Conversely, considering physical allocation, the difference between the two groups became less noticeable. When the contribution from soil carbon sequestration was included in the LCA and no allocation method was performed, LLU farms registered higher values of GHG emission per kg of FPCM than HLU farms (1.38 vs. 1.10 kg CO 2 -eq/kg FPCM, P ≤ 0.05), and the situation was likewise reversed in this case upon considering the m 2 of UAL as a functional unit (0.22 vs. 0.73 kg CO 2 -eq/m 2 , P ≤ 0.05). To highlight how the presence of grasslands is crucial for the carbon footprint of small-scale farms, this study also applied a simulation for increasing the forage self-sufficiency of farms to 100%. In this case, an average reduction of GHG emission per kg of FPCM of farms was estimated both with no allocation and with physical allocation

Herd-Level Mastitis-Associated Costs on Canadian Dairy Farms

Science.gov (United States)

Aghamohammadi, Mahjoob; Haine, Denis; Kelton, David F.; Barkema, Herman W.; Hogeveen, Henk; Keefe, Gregory P.; Dufour, Simon

2018-01-01

Mastitis imposes considerable and recurring economic losses on the dairy industry worldwide. The main objective of this study was to estimate herd-level costs incurred by expenditures and production losses associated with mastitis on Canadian dairy farms in 2015, based on producer reports. Previously, published mastitis economic frameworks were used to develop an economic model with the most important cost components. Components investigated were divided between clinical mastitis (CM), subclinical mastitis (SCM), and other costs components (i.e., preventive measures and product quality). A questionnaire was mailed to 374 dairy producers randomly selected from the (Canadian National Dairy Study 2015) to collect data on these costs components, and 145 dairy producers returned a completed questionnaire. For each herd, costs due to the different mastitis-related components were computed by applying the values reported by the dairy producer to the developed economic model. Then, for each herd, a proportion of the costs attributable to a specific component was computed by dividing absolute costs for this component by total herd mastitis-related costs. Median self-reported CM incidence was 19 cases/100 cow-year and mean self-reported bulk milk somatic cell count was 184,000 cells/mL. Most producers reported using post-milking teat disinfection (97%) and dry cow therapy (93%), and a substantial proportion of producers reported using pre-milking teat disinfection (79%) and wearing gloves during milking (77%). Mastitis costs were substantial (662 CAD per milking cow per year for a typical Canadian dairy farm), with a large portion of the costs (48%) being attributed to SCM, and 34 and 15% due to CM and implementation of preventive measures, respectively. For SCM, the two most important cost components were the subsequent milk yield reduction and culling (72 and 25% of SCM costs, respectively). For CM, first, second, and third most important cost components were culling (48

Herd-Level Mastitis-Associated Costs on Canadian Dairy Farms

Directory of Open Access Journals (Sweden)

Mahjoob Aghamohammadi

2018-05-01

Full Text Available Mastitis imposes considerable and recurring economic losses on the dairy industry worldwide. The main objective of this study was to estimate herd-level costs incurred by expenditures and production losses associated with mastitis on Canadian dairy farms in 2015, based on producer reports. Previously, published mastitis economic frameworks were used to develop an economic model with the most important cost components. Components investigated were divided between clinical mastitis (CM, subclinical mastitis (SCM, and other costs components (i.e., preventive measures and product quality. A questionnaire was mailed to 374 dairy producers randomly selected from the (Canadian National Dairy Study 2015 to collect data on these costs components, and 145 dairy producers returned a completed questionnaire. For each herd, costs due to the different mastitis-related components were computed by applying the values reported by the dairy producer to the developed economic model. Then, for each herd, a proportion of the costs attributable to a specific component was computed by dividing absolute costs for this component by total herd mastitis-related costs. Median self-reported CM incidence was 19 cases/100 cow-year and mean self-reported bulk milk somatic cell count was 184,000 cells/mL. Most producers reported using post-milking teat disinfection (97% and dry cow therapy (93%, and a substantial proportion of producers reported using pre-milking teat disinfection (79% and wearing gloves during milking (77%. Mastitis costs were substantial (662 CAD per milking cow per year for a typical Canadian dairy farm, with a large portion of the costs (48% being attributed to SCM, and 34 and 15% due to CM and implementation of preventive measures, respectively. For SCM, the two most important cost components were the subsequent milk yield reduction and culling (72 and 25% of SCM costs, respectively. For CM, first, second, and third most important cost components were

Participatory farm management adaptations to reduce environmental impact on commercial pilot dairy farms in the Netherlands

NARCIS (Netherlands)

Oenema, J.; Keulen, van H.; Schils, R.L.M.; Aarts, H.F.M.

2011-01-01

Regulations in the Netherlands with respect to nutrient use force dairy farmers to improve nutrient management at the whole-farm level. On experimental farm ‘De Marke’, a coherent set of simple measures at farm level has been implemented, which has resulted in a drastic reduction in input of

Assessing the sustainability of EU dairy farms with different management systems and husbandry practices

DEFF Research Database (Denmark)

Leach, Katharine; Gerrard, Catherine; Kudahl, Anne Margrethe Braad

on farm management practices collected in face to face interviews with farmers were entered and the tool then calculated a composite score for each of 11 separate “spurs” or dimensions contributing to sustainability. The results can be used to stimulate discussion between farmers and point to areas where......The EU funded SOLID project supports research which will contribute to the competitiveness of organic and low input dairy systems, and increase their sustainability. There are many aspects of the sustainability of dairy farms, relating to economic, environmental and social dimensions, and methods...... of animal husbandry can affect all of these. A UK spreadsheet based tool for rapid assessment of the whole farm was adapted for application on a range of organic and low input dairy farms across the EU. This tool was used to assess approximately ten organic dairy farms in each of four EU countries. Data...

The effect of dairy farm management regime on swallow (Hirundo rustica) abundance in the Netherlands

NARCIS (Netherlands)

Lubbe, S.K.; Snoo, de G.R.

2007-01-01

Aim To identify differences in Swallow abundance between organically and conventionally managed dairy farms, by examining three factors: farm buildings, food availability and farmer attitudes to Swallows. Methods Organic and conventional dairy farm holdings were compared in pairwise fashion. On

Automatic Installation and Configuration for Large Scale Farms

CERN Document Server

Novák, J

2005-01-01

Since the early appearance of commodity hardware, the utilization of computers rose rapidly, and they became essential in all areas of life. Soon it was realized that nodes are able to work cooperatively, in order to solve new, more complex tasks. This conception got materialized in coherent aggregations of computers called farms and clusters. Collective application of nodes, being efficient and economical, was adopted in education, research and industry before long. But maintainance, especially in large scale, appeared as a problem to be resolved. New challenges needed new methods and tools. Development work has been started to build farm management applications and frameworks. In the first part of the thesis, these systems are introduced. After a general description of the matter, a comparative analysis of different approaches and tools illustrates the practical aspects of the theoretical discussion. CERN, the European Organization of Nuclear Research is the largest Particle Physics laboratory in the world....

Antibiotic use by farmers to control mastitis as influenced by health advice and dairy farming systems.

Science.gov (United States)

Poizat, A; Bonnet-Beaugrand, F; Rault, A; Fourichon, C; Bareille, N

2017-10-01

Mastitis is a bacterial disease common in dairy farms. Although knowledge about mastitis and its optimal technical management and treatment is now available, some dairy farmers still use antibiotics in inappropriate ways. Antibiotic use by farmers can be influenced by personal restraints and motivations, but it can be assumed that external drivers are also influential. The main purpose of this article is thus to analyse the choices of antibiotic and alternative medicine use for mastitis treatment and investigate the possible influence of two unexplored external drivers in dairy farms: (i) the health advice offered to farmers by farm advisors and veterinarians, (ii) the dairy farming system, as defined by combining the market valuation chosen for the milk, the level of intensification, and the perceived pressure related to investments. Research was based on 51 individual semi-structured interviews with farmers and their corresponding veterinarians and farm advisors. Based on verbatim, the use of antibiotics and alternative medicine by farmers for mastitis treatment, the vet-farmers interactions, and the dairy farming systems are described. The advisory relationships between farmers and farm advisors and between farmers and veterinarians influenced the implementation of selective dry cow therapy, but had very little effect on the use of alternative medicines by farmers, who were more willing to experiment alternative medicines than their advisors. The dairy farming system had very little influence on antibiotic use: some misuse of antibiotics was found whatever the farming system. Systematic dry cow therapy was also a widespread habit in all dairy farming systems except organic. The use of alternative medicine was common in all farming systems. Copyright © 2017 Elsevier B.V. All rights reserved.

The impact of the local dairy cattle farm toward the river water quality in Gunungpati Subdistrict Central Java

Directory of Open Access Journals (Sweden)

E. Widiastuti

2014-12-01

Full Text Available People’s awareness on the living environment nowadays is not yet comes up to the dairy-farmer community. In fact, the dairy-farm subsector contributes load pollution in the form of waste. The waste that is produced by a dairy-farm can be in the form of solid waste and liquid waste. There is still no cultivation effort toward the wastes in a traditional dairy-farmyet, thus most of the wastes are disposed to the closest river, so that in the surrounding dairy farm area is frequently found pollution toward the water quality. The aim of this study is to identify the effect of environment pollution that is caused by local dairy farm in Gunungpati Sub-district, especially toward the river water and residents’ well. The result of this study in Nangkasawit Village before and after the dairy farm was build was still under the quality standard for the third rate water quality. In Plalangan Village, the water quality was also under the quality standard, except for COD concentration. In the Sumurejo Village there was an upturn tendency on the observation value, but the water quality was under the quality standard, except for Fe concentration. Based on the Biodiversity Index before and after the dairy farm was established in Nangkasawit, Plalangan, and Sumurejo were 2.22, 1.49, 2.11, 1.90, 1.78, and 1.88, respectively. It means that Nangkasawit showed no pollution before the dairy farm was established, while there was a medium pollution after the dairy farm establishment.  In Plalangan, the water was clear, but it was light polluted after the dairy farm was established. In Sumurejo, before and after the dairy farm establishment the water was light category pollution.

Water Use and Conservation on a Free-Stall Dairy Farm

Directory of Open Access Journals (Sweden)

Etienne L. Le Riche

2017-12-01

Full Text Available Livestock watering can represent as much as 20% of total agricultural water use in areas with intensive dairy farming. Due to an increased emphasis on water conservation for the agricultural sector, it is important to understand the current patterns of on-farm water use. This study utilized in situ water meters to measure the year-round on-farm pumped water (i.e., blue water on a ~419 lactating cow confined dairy operation in Eastern Ontario, Canada. The average total water use for the farm was 90,253 ± 15,203 L day−1 and 33,032 m3 annually. Water use was divided into nutritional water (68%, parlour cleaning and operation (14%, milk pre-cooling (15%, barn cleaning, misters and other uses (3%. There was a positive correlation between total monthly water consumption (i.e., nutritional water and average monthly temperature for lactating cows, heifers, and calves (R2 = 0.69, 0.84, and 0.85, respectively. The blue water footprint scaled by milk production was 6.19 L kg−1 milk or 6.41 L kg−1 fat-and-protein corrected milk (FPCM including contributions from all animal groups and 5.34 L kg−1 milk (5.54 L kg−1 FPCM when excluding the water consumption of non-lactating animals. By applying theoretical water conservation scenarios we show that a combination of strategies (air temperature reduction, complete recycling of milk-cooling water, and modified cow preparation protocol could achieve a savings of 6229 m3 annually, a ~19% reduction in the total annual water use.

Studying the Efficiency of Industrial Dairy Farms of Saqqez and Divandarreh Cities: Using Super-Efficiency Approach

Directory of Open Access Journals (Sweden)

S.J. Mohammadi

2016-03-01

ranked as an efficient farm. Results and Discussion: The statistical description of the farms studied showed that, the highest and lowest amount of produced milk from one dairy were in the range of 845 and 250 kg per month. The super efficiency estimation showed that the mean of farms'super efficiency based on the assumption of variable return to scale for input-oriented is 1.01. About 58 per cent of the studied dairy cattle farms were inefficient and the Super-efficiency of about 42 per cent of total farms got scores under the average. The amount of λ_k^* for all farms except for farms 3 and 5 has become 0. Furthermore, these two farms in primitive super efficiency model have become infeasible. Therefore, they have been considered as reference farms. The results of super-efficiency method and efficiency conventional DEA method were compared together and inefficient farms got the similar efficiency and super-efficiency scores, and efficient farms whose super-efficiency score had been equaled or more than 1, stand over frontier production function in the conventional model. To determine the sensitivity of results to removing the outliers, three different levels (1

The Relationship of Dairy Farm Eco-Efficiency with Intensification and Self-Sufficiency. Evidence from the French Dairy Sector Using Life Cycle Analysis, Data Envelopment Analysis and Partial Least Squares Structural Equation Modelling.

Directory of Open Access Journals (Sweden)

Andreas Diomedes Soteriades

Full Text Available We aimed at quantifying the extent to which agricultural management practices linked to animal production and land use affect environmental outcomes at a larger scale. Two practices closely linked to farm environmental performance at a larger scale are farming intensity, often resulting in greater off-farm environmental impacts (land, non-renewable energy use etc. associated with the production of imported inputs (e.g. concentrates, fertilizer; and the degree of self-sufficiency, i.e. the farm's capacity to produce goods from its own resources, with higher control over nutrient recycling and thus minimization of losses to the environment, often resulting in greater on-farm impacts (eutrophication, acidification etc.. We explored the relationship of these practices with farm environmental performance for 185 French specialized dairy farms. We used Partial Least Squares Structural Equation Modelling to build, and relate, latent variables of environmental performance, intensification and self-sufficiency. Proxy indicators reflected the latent variables for intensification (milk yield/cow, use of maize silage etc. and self-sufficiency (home-grown feed/total feed use, on-farm energy/total energy use etc.. Environmental performance was represented by an aggregate 'eco-efficiency' score per farm derived from a Data Envelopment Analysis model fed with LCA and farm output data. The dataset was split into two spatially heterogeneous (bio-physical conditions, production patterns regions. For both regions, eco-efficiency was significantly negatively related with milk yield/cow and the use of maize silage and imported concentrates. However, these results might not necessarily hold for intensive yet more self-sufficient farms. This requires further investigation with latent variables for intensification and self-sufficiency that do not largely overlap- a modelling challenge that occurred here. We conclude that the environmental 'sustainability' of intensive

The Relationship of Dairy Farm Eco-Efficiency with Intensification and Self-Sufficiency. Evidence from the French Dairy Sector Using Life Cycle Analysis, Data Envelopment Analysis and Partial Least Squares Structural Equation Modelling.

Science.gov (United States)

Soteriades, Andreas Diomedes; Stott, Alistair William; Moreau, Sindy; Charroin, Thierry; Blanchard, Melanie; Liu, Jiayi; Faverdin, Philippe

2016-01-01

We aimed at quantifying the extent to which agricultural management practices linked to animal production and land use affect environmental outcomes at a larger scale. Two practices closely linked to farm environmental performance at a larger scale are farming intensity, often resulting in greater off-farm environmental impacts (land, non-renewable energy use etc.) associated with the production of imported inputs (e.g. concentrates, fertilizer); and the degree of self-sufficiency, i.e. the farm's capacity to produce goods from its own resources, with higher control over nutrient recycling and thus minimization of losses to the environment, often resulting in greater on-farm impacts (eutrophication, acidification etc.). We explored the relationship of these practices with farm environmental performance for 185 French specialized dairy farms. We used Partial Least Squares Structural Equation Modelling to build, and relate, latent variables of environmental performance, intensification and self-sufficiency. Proxy indicators reflected the latent variables for intensification (milk yield/cow, use of maize silage etc.) and self-sufficiency (home-grown feed/total feed use, on-farm energy/total energy use etc.). Environmental performance was represented by an aggregate 'eco-efficiency' score per farm derived from a Data Envelopment Analysis model fed with LCA and farm output data. The dataset was split into two spatially heterogeneous (bio-physical conditions, production patterns) regions. For both regions, eco-efficiency was significantly negatively related with milk yield/cow and the use of maize silage and imported concentrates. However, these results might not necessarily hold for intensive yet more self-sufficient farms. This requires further investigation with latent variables for intensification and self-sufficiency that do not largely overlap- a modelling challenge that occurred here. We conclude that the environmental 'sustainability' of intensive dairy farming

Relating the carbon footprint of milk from Irish dairy farms to economic performance.

Science.gov (United States)

O'Brien, D; Hennessy, T; Moran, B; Shalloo, L

2015-10-01

Mitigating greenhouse gas (GHG) emissions per unit of milk or the carbon footprint (CF) of milk is a key issue for the European dairy sector given rising concerns over the potential adverse effects of climate change. Several strategies are available to mitigate GHG emissions, but producing milk with a low CF does not necessarily imply that a dairy farm is economically viable. Therefore, to understand the relationship between the CF of milk and dairy farm economic performance, the farm accountancy network database of a European Union nation (Ireland) was applied to a GHG emission model. The method used to quantify GHG emissions was life cycle assessment (LCA), which was independently certified to comply with the British standard for LCA. The model calculated annual on- and off-farm GHG emissions from imported inputs (e.g., electricity) up to the point milk was sold from the farm in CO2-equivalent (CO2-eq). Annual GHG emissions computed using LCA were allocated to milk based on the economic value of dairy farm products and expressed per kilogram of fat- and protein-corrected milk (FPCM). The results showed for a nationally representative sample of 221 grass-based Irish dairy farms in 2012 that gross profit averaged € 0.18/L of milk and € 1,758/ha and gross income was € 40,899/labor unit. Net profit averaged € 0.08/L of milk and € 750/ha and net income averaged € 18,125/labor unit. However, significant variability was noted in farm performance across each financial output measure. For instance, net margin per hectare of the top one-third of farms was 6.5 times higher than the bottom third. Financial performance measures were inversely correlated with the CF of milk, which averaged 1.20 kg of CO2-eq/kg of FPCM but ranged from 0.60 to 2.13 kg of CO2-eq/kg of FPCM. Partial least squares regression analysis of correlations between financial and environmental performance indicated that extending the length of the grazing season and increasing milk production

Strategies to reduce electricity consumption on dairy farms : an economic and environmental assessment

NARCIS (Netherlands)

Upton, J.R.

2014-01-01

The aim of this thesis was to assess how, and to what extent, do managerial and technology changes affect electricity consumption, associated costs and greenhouse gas (GHG) emissions of dairy farms. Dairy farms in Ireland are expected to expand in the future, due to policy incentives and the

Gross Revenue risk in Swiss dairy farming

NARCIS (Netherlands)

Benni, El N.; Finger, R.

2013-01-01

This study investigated how agricultural policy reforms, including market liberalization and market deregulation, have influenced gross revenue risk of Swiss dairy producers using farm-level panel data between 1990 and 2009. Based on detrended data, variance decomposition was applied to assess how

Labour organisation on robotic milking dairy farms

NARCIS (Netherlands)

Sonck, B.R.

1996-01-01

1. Research issues

The research described in this dissertation is focused on the effects of the integration of the milking robot in a dairy farm on the labour organisation at operational and tactical level. Attention was paid

Effects of EU dairy policy reform for Dutch dairy farming : a primal approach using GMM estimation

NARCIS (Netherlands)

Ooms, D.L.; Peerlings, J.H.M.

2005-01-01

This paper estimates a production function for milk using a generalised method of moments estimator to avoid the endogeneity problem. Using the first-order conditions for profit maximisation, the economic effects for individual Dutch dairy farms of the 2003 EU dairy policy reform are analysed. With

Impacts of large-scale offshore wind farm integration on power systems through VSC-HVDC

DEFF Research Database (Denmark)

Liu, Hongzhi; Chen, Zhe

2013-01-01

The potential of offshore wind energy has been commonly recognized and explored globally. Many countries have implemented and planned offshore wind farms to meet their increasing electricity demands and public environmental appeals, especially in Europe. With relatively less space limitation......, an offshore wind farm could have a capacity rating to hundreds of MWs or even GWs that is large enough to compete with conventional power plants. Thus the impacts of a large offshore wind farm on power system operation and security should be thoroughly studied and understood. This paper investigates...... the impacts of integrating a large-scale offshore wind farm into the transmission system of a power grid through VSC-HVDC connection. The concerns are focused on steady-state voltage stability, dynamic voltage stability and transient angle stability. Simulation results based on an exemplary power system...

Efficiency of dairy farms participating and not participating in veterinary herd health management programs.

Science.gov (United States)

Derks, Marjolein; Hogeveen, Henk; Kooistra, Sake R; van Werven, Tine; Tauer, Loren W

2014-12-01

This paper compares farm efficiencies between dairies who were participating in a veterinary herd health management (VHHM) program with dairies not participating in such a program, to determine whether participation has an association with farm efficiency. In 2011, 572 dairy farmers received a questionnaire concerning the participation and execution of a VHHM program on their farms. Data from the questionnaire were combined with farm accountancy data from 2008 through 2012 from farms that used calendar year accounting periods, and were analyzed using Stochastic Frontier Analysis (SFA). Two separate models were specified: model 1 was the basic stochastic frontier model (output: total revenue; input: feed costs, land costs, cattle costs, non-operational costs), without explanatory variables embedded into the efficiency component of the error term. Model 2 was an expansion of model 1 which included explanatory variables (number of FTE; total kg milk delivered; price of concentrate; milk per hectare; cows per FTE; nutritional yield per hectare) inserted into the efficiency component of the joint error term. Both models were estimated with the financial parameters expressed per 100 kg fat and protein corrected milk and per cow. Land costs, cattle costs, feed costs and non-operational costs were statistically significant and positive in all models (P<0.01). Frequency distributions of the efficiency scores for the VHHM dairies and the non-VHHM dairies were plotted in a kernel density plot, and differences were tested using the Kolmogorov-Smirnov two-sample test. VHHM dairies had higher total revenue per cow, but not per 100 kg milk. For all SFA models, the difference in distribution was not statistically different between VHHM dairies and non-VHHM dairies (P values 0.94, 0.35, 0.95 and 0.89 for the basic and complete model per 100 kg fat and protein corrected milk and per cow respectively). Therefore we conclude that with our data farm participation in VHHM is not related

The impact of biogas production on the circularity of nitrogen flows around a dairy farm

NARCIS (Netherlands)

Hoang, Dieu Linh; Davis, Christopher Bryan; Nonhebel, Sanderine; Dijkema, Gerhard

2017-01-01

Dairy farms require a significant amount of nitrogen to enter the production system via cattle fodder, which in intensive farming can be traced back to artificial fertilizers. As a by-product of dairy farms, cattle manure contains undigested nitrogen that allows the farmers to reuse it for their

A mechanistic model for electricity consumption on dairy farms: Definition, validation, and demonstration

OpenAIRE

Upton, J.R.; Murphy, M.; Shallo, L.; Groot Koerkamp, P.W.G.; Boer, de, I.J.M.

2014-01-01

Our objective was to define and demonstrate a mechanistic model that enables dairy farmers to explore the impact of a technical or managerial innovation on electricity consumption, associated CO2 emissions, and electricity costs. We, therefore, (1) defined a model for electricity consumption on dairy farms (MECD) capable of simulating total electricity consumption along with related CO2 emissions and electricity costs on dairy farms on a monthly basis; (2) validated the MECD using empirical d...

Farm and cow-level prevalence of bovine digital dermatitis on dairy farms in Taranaki, New Zealand.

Science.gov (United States)

Yang, D A; Heuer, C; Laven, R; Vink, W D; Chesterton, R N

2017-09-01

The aims of this cross-sectional study were to investigate the herd and cow-level prevalence of bovine digital dermatitis (BDD) in dairy farms in the northern Taranaki region of New Zealand, and to identify whether there was any spatial clustering of herds with the disease. A survey of 224 dairy farms in the northern Taranaki region of New Zealand was undertaken from September 2014 to February 2015. Following training in robust criteria to confirm BDD visually, a technician inspected the rear feet of every milking cow on the farms during milking. The identity of cows with lesions and the feet involved were recorded. The proportion of cows affected among the inspected population (cow-level prevalence), the proportion of a herd affected (farm-level prevalence), and proportion of farms with ≥1 cow with lesions, were calculated. A bivariate K function analysis was then used to assess whether farms with ≥1 cow with lesions were clustered, after accounting for the distribution of the farms involved in the study. Bovine digital dermatitis lesions were observed on 143/224 (63.8 (95% CI=57.5-70.1)%) farms. Within-farm prevalence was 0% on 81 (36.2%) farms, between >0 and cow-level prevalence was 707/60,455 (1.2 (95% CI=0.9-3.0)%), and on affected farms was 707/41,116 (1.7 (95% CI=1.4-2.1)%). In affected cows, 268/707 (37.9%) had a lesion on left foot only, 262/707 (37.1%) on the right foot only and 177/707 (25.0%) on both feet. The K function analysis showed no evidence of clustering of farms with BDD. Bovine digital dermatitis was widespread among the survey farms, but there was no evidence that there was any clustering of herds with BDD. The cow-level prevalence on affected farms was much lower than reported elsewhere. Although the prevalence at the cow level was low, if these data are representative of other regions of New Zealand, BDD could easily become a major problem on dairy farms in New Zealand, as has been observed in other countries.

Optimal feeding systems for small-scale dairy herds in the North West Province, South Africa

Directory of Open Access Journals (Sweden)

N. Patience Manzana

2014-07-01

Full Text Available Land redistribution was legislated in 1994; it was designed to resolve historical imbalances inland ownership in South Africa. Between 2002 and 2006, a longitudinal observational studywas conducted with 15 purposively selected small-scale dairy farmers in a land redistributionproject in Central North West Province. Four farmers left the project over the period. For thepurposes of this study, a small-scale dairy farm was defined as a farm that produces less than500 L of milk a day, irrespective of the number of cows or size of the farm. The study wasconducted in three phases. In the first phase, situational analysis using participatory ruralappraisal (PRA and observation was used to outline the extent of the constraints and designappropriate interventions. Feeds that were used were tested and evaluated. In the secondphase, three different feeding systems were designed from the data obtained from PRA. Thesewere: (1 A semi-intensive farm-based ration using available crops, pastures and crop residueswith minimal rations purchased. (2 An intensive, zero-grazing dairy system using a totalmixed ration. (3 A traditional, extensive or dual-purpose system, where the calf drank fromthe cow until weaning and milking was done only once a day. In the third phase, adoptionwas monitored. By July 2006, all remaining farmers had changed to commercially formulatedrations or licks and the body condition score of the cows had improved. It was concluded thatveterinary extension based on PRA and a holistic systems approach was a good option forsuch complex problems. Mentoring by commercial dairy farmers, veterinary and extensionservices appeared to be viable. Further research should be done to optimise the traditionalmodel of dairy farming, as this was relatively profitable, had a lower risk and was less labourintensive.

Optimal feeding systems for small-scale dairy herds in the North West Province, South Africa.

Science.gov (United States)

Manzana, N Patience; McCrindle, Cheryl M E; Sebei, P Julius; Prozesky, Leon

2014-07-09

Land redistribution was legislated in 1994; it was designed to resolve historical imbalances inland ownership in South Africa. Between 2002 and 2006, a longitudinal observational studywas conducted with 15 purposively selected small-scale dairy farmers in a land redistributionproject in Central North West Province. Four farmers left the project over the period. For thepurposes of this study, a small-scale dairy farm was defined as a farm that produces less than500 L of milk a day, irrespective of the number of cows or size of the farm. The study wasconducted in three phases. In the first phase, situational analysis using participatory ruralappraisal (PRA) and observation was used to outline the extent of the constraints and designappropriate interventions. Feeds that were used were tested and evaluated. In the secondphase, three different feeding systems were designed from the data obtained from PRA. Thesewere: (1) A semi-intensive farm-based ration using available crops, pastures and crop residueswith minimal rations purchased. (2) An intensive, zero-grazing dairy system using a totalmixed ration. (3) A traditional, extensive or dual-purpose system, where the calf drank fromthe cow until weaning and milking was done only once a day. In the third phase, adoptionwas monitored. By July 2006, all remaining farmers had changed to commercially formulatedrations or licks and the body condition score of the cows had improved. It was concluded thatveterinary extension based on PRA and a holistic systems approach was a good option forsuch complex problems. Mentoring by commercial dairy farmers, veterinary and extensionservices appeared to be viable. Further research should be done to optimise the traditionalmodel of dairy farming, as this was relatively profitable, had a lower risk and was less labourintensive.

Nutrient Management Approaches and Tools for Dairy farms in Australia and the USA.

Science.gov (United States)

In Australia and the USA, nutrient imports and accumulation on dairy farms can be a problem and may pose a threat to the greater environment. While the major nutrient imports onto dairy farms (i.e. fertilizer and feed) and exports (i.e. milk and animals) are generally the same for confinement-based ...

Water footprinting of dairy farming in Ireland

NARCIS (Netherlands)

Murphy, E.; Boer, de I.J.M.; Middelaar, van C.E.; Holden, N.M.; Shalloo, L.; Curran, T.P.; Upton, J.

2017-01-01

In the context of global water scarcity, water footprints have become an important sustainability indicator for food production systems. To improve the water footprint of the dairy sector, insight into freshwater consumption of individual farms is required. The objective of this study was to

Results of an online questionnaire to survey calf management practices on dairy cattle breeding farms in Austria and to estimate differences in disease incidences depending on farm structure and management practices.

Science.gov (United States)

Klein-Jöbstl, Daniela; Arnholdt, Tim; Sturmlechner, Franz; Iwersen, Michael; Drillich, Marc

2015-08-19

Calf disease may result in great economic losses. To implement prevention strategies it is important to gain information on management and to point out risk factors. The objective of this internet based survey was to describe calf management practices on registered dairy breeding farms in Austria and to estimate differences in calf disease incidences depending on farm structure and management practices. A total of 1287 questionnaires were finally analysed (response rate 12.2 %). Herd characteristics and regional distribution of farms indicated that this survey gives a good overview on calf management practices on registered dairy farms in Austria. The median number of cows per farm was 20 (interquartile range 13-30). Significant differences regarding farm characteristics and calf management between small and large farms (≤20 vs >20 cows) were present. Only 2.8 % of farmers tested first colostrum quality by use of a hydrometer. Storing frozen colostrum was more prevalent on large farms (80.8 vs 64.2 %). On 85.1 % of the farms, whole milk, including waste milk, was fed to the calves. Milk replacer and waste milk were more often used on large farms. In accordance with similar studies from other countries, calf diarrhoea was indicated as the most prevalent disease. Multivariable logistic regression analysis revealed that herd size was associated with calf diarrhoea and calf respiratory tract disease, with higher risk of disease on large farms. Furthermore, feeding waste milk to the calves was associated with increasing calf diarrhoea incidence on farm. In the final model with calf respiratory tract disease as outcome, respondents from organic farms reported less often a respiratory tract disease incidence of over 10 % compared with conventional farms [odds ratio (OR) 0.40, 95 % confidence interval (CI) 0.21-0.75] and farmers that housed calves individually or in groups after birth significantly reported more often to have an incidence of respiratory tract

Estimation of risk management effects on revenue and purchased feed costs on US dairy farms.

Science.gov (United States)

Hadrich, Joleen C; Johnson, Kamina K

2015-09-01

Variations in milk and feed prices directly affect dairy farm risk management decisions. This research used data from the 2010 US Department of Agriculture-Agricultural Resource Management Surveys phase III dairy survey to examine how risk management tools affected revenues and expenses across US dairy farms. The survey was sent to 26 states and collected information on costs and returns to individual dairy farms. This research used the information from milk sales, crops sales, feed expenses, and farm and operator characteristics, as well as the use of risk management tools. Matching methodology was used to evaluate the effect of 5 independent risk management tools on revenues and expenses: selling milk to a cooperative, using a commodity contract to sell grain, feeding homegrown forage at a basic and intensive level, and use of a nutritionist. Results showed that dairy farms located in the Midwest and East benefit from selling milk to a cooperative and using commodity contracts to sell grain. Across the United States, using a nutritionist increased total feed costs, whereas a feeding program that included more than 65% homegrown forages decreased total feed costs. Results point to benefits from educational programming on risk management tools that are region specific rather than a broad generalization to all US dairy farmers. Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Modelling Options for Policy Impact Analysis on African Dairy Farms

Directory of Open Access Journals (Sweden)

Oghaiki Asaah NDAMBI

2008-01-01

Full Text Available Studies on the priorities for agricultural research in Eastern and CentralAfrica concluded that milk is the most important commodity for research anddevelopment in the region, based on its potential contribution to the agriculturalGDP. It has been presumed that, the right policies, marketing systems and technicalsupport must be sought for dairy development in Africa. In order to determine theright development pattern, appropriate analytical tools must be applied. The TIPICAL(Technology Impact Policy Impact model was used to analyse the impact ofdifferent policies on two typical dairy farming systems in Uganda, which accountfor more than 70% of milk produced in the country. Seven influential policy areaswere also identified: provision of veterinary services, consumption promotion,marketing promotion, input provision, credit access improvement, milk qualityimprovement and genetic improvement. In general, the policy impacts are very littleon farms with local cows but can be magnified up to threefold, if the farms havegraded cows. Policies which improve farmers’ accessibility to markets have thegreatest impacts. The results obtained from this model were compared to thoseusing the EXTRAPOLATE model. This comparison shows that both models couldcomplement each other in analysing policy impacts on African dairy farms.However, differences in results from the models indicate that more focus should bemade on farmers’ willingness to adopt new technology.

Creating a model to detect dairy cattle farms with poor welfare using a national database.

Science.gov (United States)

Krug, C; Haskell, M J; Nunes, T; Stilwell, G

2015-12-01

The objective of this study was to determine whether dairy farms with poor cow welfare could be identified using a national database for bovine identification and registration that monitors cattle deaths and movements. The welfare of dairy cattle was assessed using the Welfare Quality(®) protocol (WQ) on 24 Portuguese dairy farms and on 1930 animals. Five farms were classified as having poor welfare and the other 19 were classified as having good welfare. Fourteen million records from the national cattle database were analysed to identify potential welfare indicators for dairy farms. Fifteen potential national welfare indicators were calculated based on that database, and the link between the results on the WQ evaluation and the national cattle database was made using the identification code of each farm. Within the potential national welfare indicators, only two were significantly different between farms with good welfare and poor welfare, 'proportion of on-farm deaths' (ptree based on two variables, 'proportion of on-farm deaths' and 'calving-to-calving interval', and it was able to correctly identify 70% and 79% of the farms classified as having poor and good welfare, respectively. The national cattle database analysis could be useful in helping official veterinary services in detecting farms that have poor welfare and also in determining which welfare indicators are poor on each particular farm. Copyright © 2015 Elsevier B.V. All rights reserved.

Integration of ecosystem services into the carbon footprint of milk of South German dairy farms.

Science.gov (United States)

Robert Kiefer, Lukas; Menzel, Friederike; Bahrs, Enno

2015-04-01

Allocation of greenhouse gas emissions (GHG) in Life Cycle Assessments (LCA) is challenging especially when multi-functionality of dairy farms, which do not only produce milk but also meat is considered. Moreover, some farms fulfill a wide range of additional services for society such as management of renewable natural resources as well as preservation of biodiversity and cultural landscapes. Due to the increasing degradation of ecosystems many industrialized as well as developing countries designed payment systems for environmental services. This study examines different allocation methods of GHG for a comparatively large convenience sample of 113 dairy farms located in grassland-based areas of southern Germany. Results are carbon footprints of 1.99 kg CO2eq/kg of fat and protein corrected milk (FPCM) on average if "no allocation" for coupled products is performed. "Physical allocation" results in 1.53 kg CO2eq/kg FPCM and "conventional economic allocation" in 1.66 kg CO2eq/kg FPCM on average if emissions are apportioned between milk and meat. Economic allocation which includes ecosystem services for society based on the farm net income as a new aspect in this study results in a carbon footprint of 1.5 kg CO2eq/kg FPCM on average. System expansion that puts greater emphasis on coupled beef production accounts for a carbon footprint of 0.68 kg CO2eq/kg FPCM on average. Intense milk production systems with higher milk yields show better results based on "no allocation", "physical allocation" and "conventional economic allocation". By contrast, economic allocation, which takes into account ecosystem services favors extensive systems, especially in less favored areas. This shows that carbon footprints of dairy farms should not be examined one-dimensionally based on the amount of milk and meat that is produced on the farm. Rather, a broader perspective is necessary that takes into account the multi-functionality of dairy farms especially in countries where a wide

Prevalence of mastitis in dairy cows from smallholder farms in Zimbabwe.

Science.gov (United States)

Katsande, Simbarashe; Matope, Gift; Ndengu, Masimba; Pfukenyi, Davies M

2013-03-28

A cross-sectional study was conducted to determine the prevalence of sub-clinical and clinical mastitis and the associated factors in cows from selected smallholder dairy farms in Zimbabwe. Physical examinations were conducted on all lactating cows for evidence of signs of clinical mastitis. Composite milk samples were collected from all lactating cows for bacterial culture and somatic cell counting. Cows were categorised as clinical if they exhibited clinical features of mastitis, or sub-clinical if no apparent signs were present but they had a positive bacterial isolation and a somatic cell count of at least 300 x 103 cells/mL. Farm-level factors were obtained through a structured questionnaire. The association of mastitis and animal- and herd-level factors were analysed using logistic regression. A total of 584 animals from 73 farms were tested. Overall, 21.1%(123/584) had mastitis, 16.3%(95/584) had sub-clinical mastitis and 4.8% (28/584) had clinical mastitis. Herd-level prevalence was 49.3%. Coagulase-negative staphylococci (27.6%),  Escherichia coli (25.2%),  Staphylococcus aureus(16.3%), Klebsiella spp. (15.5%) and Streptococcus spp. (1.6%) were the most common isolates. In individual cows, pure dairy herds (OR = 6.3) and dairy crosses (OR = 3.1) were more likely to have mastitis compared to Mashona cows. Farms that used pre-milking teat dipping were associated with reduced mastitis prevalence. Further research is needed on the prevalence of mastitis and a comparison of data for both smallholder and commercial dairy farms in all regions of Zimbabwe should be undertaken.

78 FR 7387 - Continuation of 2008 Farm Bill-Dairy Forward Pricing Program

Science.gov (United States)

2013-02-01

...] Continuation of 2008 Farm Bill--Dairy Forward Pricing Program AGENCY: Agricultural Marketing Service, USDA... the Dairy Forward Pricing Program contained in the Food, Conservation and Energy Act of 2008 (the 2008... associations of producers may enter into forward price contracts under the Dairy Forward Pricing Program...

Monitoring of biogenic amines in cheeses manufactured at small-scale farms and in fermented dairy products in the Czech Republic.

Science.gov (United States)

Buňková, Leona; Adamcová, Gabriela; Hudcová, Kateřina; Velichová, Helena; Pachlová, Vendula; Lorencová, Eva; Buňka, František

2013-11-01

The aim of the study was the monitoring of six biogenic amines (histamine, tyramine, phenylethylamine, tryptamine, putrescine, and cadaverine) and two polyamines (spermidine and spermine) in 112 samples of dairy products purchased in the Czech Republic, namely in 55 cheeses made in small-scale farms and in 57 fermented dairy products. The products were tested at the end of their shelf-life period. Neither tryptamine nor phenylethylamine was detected in the monitored samples; histamine was found only in four cheese samples containing up to 25mg/kg. The contents of spermine and spermidine were low and did not exceed the values of 35 mg/kg. Significant amounts of tyramine, putrescine, and cadaverine occurred especially in cheeses produced from ewe's milk or in long-term ripened cheeses. In about 10% of the tested cheeses, the total concentration of all the monitored biogenic amines and polyamines exceeded the level of 200mg/kg, which can be considered toxicologically significant. In fermented dairy products, the tested biogenic amines occurred in relatively low amounts (generally up to 30 mg/kg) that are regarded safe for the consumer's health. Copyright © 2013 Elsevier Ltd. All rights reserved.

A mechanistic model for electricity consumption on dairy farms: definition, validation, and demonstration.

Science.gov (United States)

Upton, J; Murphy, M; Shalloo, L; Groot Koerkamp, P W G; De Boer, I J M

2014-01-01

Our objective was to define and demonstrate a mechanistic model that enables dairy farmers to explore the impact of a technical or managerial innovation on electricity consumption, associated CO2 emissions, and electricity costs. We, therefore, (1) defined a model for electricity consumption on dairy farms (MECD) capable of simulating total electricity consumption along with related CO2 emissions and electricity costs on dairy farms on a monthly basis; (2) validated the MECD using empirical data of 1yr on commercial spring calving, grass-based dairy farms with 45, 88, and 195 milking cows; and (3) demonstrated the functionality of the model by applying 2 electricity tariffs to the electricity consumption data and examining the effect on total dairy farm electricity costs. The MECD was developed using a mechanistic modeling approach and required the key inputs of milk production, cow number, and details relating to the milk-cooling system, milking machine system, water-heating system, lighting systems, water pump systems, and the winter housing facilities as well as details relating to the management of the farm (e.g., season of calving). Model validation showed an overall relative prediction error (RPE) of less than 10% for total electricity consumption. More than 87% of the mean square prediction error of total electricity consumption was accounted for by random variation. The RPE values of the milk-cooling systems, water-heating systems, and milking machine systems were less than 20%. The RPE values for automatic scraper systems, lighting systems, and water pump systems varied from 18 to 113%, indicating a poor prediction for these metrics. However, automatic scrapers, lighting, and water pumps made up only 14% of total electricity consumption across all farms, reducing the overall impact of these poor predictions. Demonstration of the model showed that total farm electricity costs increased by between 29 and 38% by moving from a day and night tariff to a flat

Association of bedding types with management practices and indicators of milk quality on larger Wisconsin dairy farms.

Science.gov (United States)

Rowbotham, R F; Ruegg, P L

2015-11-01

The objective of this study was to identify associations of bedding type and selected management practices with bulk milk quality and productivity of larger Wisconsin dairy farms. Dairy herds (n=325) producing ≥11,340 kg of milk daily were surveyed during a single farm visit. Monthly bulk milk SCC and total bacteria counts were obtained from milk buyers for 255 farms for a 2-yr period. Of farms with the same type of bedding in all pens during the study period, most used inorganic bedding (IB), followed by organic nonmanure bedding (OB) and manure products (MB). Almost all bulk milk total bacterial counts were bedding type. Bulk milk somatic cell score (BMSCS) was least for farms using IB, varied seasonally, and was greatest in the summer. The BMSCS was reduced when new bedding was added to stalls at intervals greater than 1 wk and when teats were dried before attaching the milking unit. The BMSCS for farms using OB was reduced when bedding in the backs of stalls was removed and replaced regularly and when fewer cows with nonfunctioning mammary quarters were present. The BMSCS for farms using MB was reduced when the proportion of cows with milk discarded was less. The rolling herd average (RHA) of herds using IB was 761 and 1,153 kg greater than the RHA of herds using OB and MB, respectively. The RHA was 353 kg greater on farms where farmers understood subclinical mastitis and 965 kg greater on farms milking 3 times daily. Each 1% increase of cows with nonfunctioning mammary quarters was associated with a decrease of 57 kg of RHA. The BMSCS, proportions of cows with milk discarded and proportion of cows with nonfunctioning mammary quarters were least for herds using IB and were associated with increased productivity. Large Wisconsin dairy farms that used inorganic bedding had greater productivity and better milk quality compared with herds using other bedding types. Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights

Energy demand on dairy farms in Ireland.

Science.gov (United States)

Upton, J; Humphreys, J; Groot Koerkamp, P W G; French, P; Dillon, P; De Boer, I J M

2013-10-01

Reducing electricity consumption in Irish milk production is a topical issue for 2 reasons. First, the introduction of a dynamic electricity pricing system, with peak and off-peak prices, will be a reality for 80% of electricity consumers by 2020. The proposed pricing schedule intends to discourage energy consumption during peak periods (i.e., when electricity demand on the national grid is high) and to incentivize energy consumption during off-peak periods. If farmers, for example, carry out their evening milking during the peak period, energy costs may increase, which would affect farm profitability. Second, electricity consumption is identified in contributing to about 25% of energy use along the life cycle of pasture-based milk. The objectives of this study, therefore, were to document electricity use per kilogram of milk sold and to identify strategies that reduce its overall use while maximizing its use in off-peak periods (currently from 0000 to 0900 h). We assessed, therefore, average daily and seasonal trends in electricity consumption on 22 Irish dairy farms, through detailed auditing of electricity-consuming processes. To determine the potential of identified strategies to save energy, we also assessed total energy use of Irish milk, which is the sum of the direct (i.e., energy use on farm) and indirect energy use (i.e., energy needed to produce farm inputs). On average, a total of 31.73 MJ was required to produce 1 kg of milk solids, of which 20% was direct and 80% was indirect energy use. Electricity accounted for 60% of the direct energy use, and mainly resulted from milk cooling (31%), water heating (23%), and milking (20%). Analysis of trends in electricity consumption revealed that 62% of daily electricity was used at peak periods. Electricity use on Irish dairy farms, therefore, is substantial and centered around milk harvesting. To improve the competitiveness of milk production in a dynamic electricity pricing environment, therefore, management

Environmental and economic impacts of feeding strategies in Costa Rican dairy farms.

Directory of Open Access Journals (Sweden)

Juan Pablo Iñamagua-Uyaguari

2015-12-01

Full Text Available The aim of this study was to analyze feeding practices in Costa Rica’s dairy farms and their influence on greenhouse gas emissions (GHG. Methane (CH4, nitrous oxide (N2O, and income over feed cost (IOFC were evaluated. This study was carried out at 104 dairy farms, which were distributed within a range of altitude from 1000 to 2400 meters above sea level. Using cluster analysis based on type of feed, grazing period, areas of forage and pastures; four feeding strategies were identified, which included different proportions of feed categories in daily rations. Emissions expressed as carbon dioxide equivalent per kilo of fat and protein corrected milk (CO2eq/FPCM were higher for forage feeding strategies and lower for farms found in higher altitudes. Concentrate feed accounted for the higher cost in all feeding strategies, and represented more than 50% in the intensive concentrate based production system, whereas the costs of fertilizers were higher in pasture based feeding strategies. Income from milk sales was higher for the concentrate based feeding strategy. However, IOFC was the same for all feeding strategies in spite of the large differences in daily milk production. Feeding strategies influenced GHG emissions and feeding costs. Feeding strategies associated with lower GHG emissions within the farm were more dependent from external inputs.

Applying animal-based welfare assessments on New Zealand dairy farms: feasibility and a comparison with United Kingdom data.

Science.gov (United States)

Laven, R A; Fabian, J

2016-07-01

To assess the feasibility of applying animal-based welfare assessments developed for use in Europe on New Zealand dairy farms; in particular, to identify measures which could be evaluated during a single visit at milking time alongside whole herd locomotion scoring. A protocol for animal welfare assessment, developed in the United Kingdom (UK), was evaluated. Measures that were suitable for use on pasture-based dairy farms in New Zealand were then assessed for practicability on 59 farms across New Zealand, during and immediately after milking, alongside whole herd locomotion scoring. Where data were collected the results were compared to those from a UK study of 53 dairy farms. Thirteen observations of the physical condition of cows were considered suitable for measurement, excluding observations related to hock lesions as they are rarely observed on pasture-based farms. Five of these measures were not assessed as there was not time to do so during milking alongside whole herd locomotion scoring. Thus, the prevalence of dirty flanks, hind limbs and udders, dull coat, thick hairy coat, significant hair loss, very fat cows (body condition score (BCS) ≥7 on 1-10 scale) and very thin cows (BCS≤3), were recorded. Three measures of behaviour were considered suitable for measurement on-farm, but only locomotion score was practicable and was measured. Farmer-estimates for the incidence of mastitis, lameness, sudden death, milk fever and other diseases were also obtained.Overall, dirty flanks, dirty udders and estimated milk fever incidence were more prevalent in this study than in the UK. The prevalence of thin and fat cows, lame cows and estimated mastitis incidence were much lower in the present study than on UK farms. Animal-based assessments can be used on dairy farms in New Zealand, but need to be modified from those developed for housed cows.Welfare on these farms was generally good compared to those in the UK, but these results need to be confirmed on more farms

Relating life cycle assessment indicators to gross value added for Dutch dairy farms

International Nuclear Information System (INIS)

Thomassen, M.A.; Dolman, M.A.; Van Calker, K.J.; De Boer, I.J.M.

2009-01-01

Sustainable dairy production requires farms that are economically viable, environmentally sound and socially acceptable. A low environmental impact of milk production is not necessarily associated with an economically viable farm. To gain insight into a possible trade-off between economic and environmental sustainability, the relation between the environmental and economic indicators of dairy farms was quantified, and farm characteristics that influence this relation were identified. Economic and environmental indicators were quantified for 119 specialized dairy farms in 2005, based on data from the Dutch Farm Accountancy Data Network (FADN). Economic indicators used were: gross value added expressed per kg fat-and-protein-corrected milk (FPCM) or expressed per unit of labour, i.e. labour productivity. Environmental indicators used were: land use per kg FPCM, energy use per kg FPCM, global warming potential per kg FPCM, eutrophication and acidification potential per kg FPCM or per ha of land. Environmental indicators were deduced from a life cycle assessment. High labour productivity on dairy farms was associated with low on-farm energy use, total and on-farm land use, total and on-farm global warming potential, and total and off-farm acidification potential per kg FPCM. High labour productivity, however, was associated also with high on-farm eutrophication and acidification potential per hectare. From partial least squares regression analysis, it was concluded that relations between economic and environmental indicators were affected mainly by milk production per ha, annual milk production per cow, farm size, and amount of concentrates per kg FPCM. An increase in annual milk production per cow, for example, not only increased labour productivity, reduced energy use and global warming potential per kg FPCM but also, in the case of an unchanged stocking density, increased eutrophication and acidification per ha. To be economically and environmentally sustainable

Spread of tetracycline resistance genes at a conventional dairy farm

Directory of Open Access Journals (Sweden)

Martina eKyselkova

2015-05-01

Full Text Available The use of antibiotics in animal husbandry contributes to the worldwide problem of increasing antibiotic resistance in animal and human pathogens. Intensive animal production is considered an important source of antibiotic resistance genes released to the environment, while the contribution of smaller farms remains to be evaluated. Here we monitor the spread of tetracycline resistance (TC-r genes at a middle-size conventional dairy farm, where chlortetracycline (CTC, as intrauterine suppository is prophylactically used after each calving. Our study has shown that animals at the farm acquired the TC-r genes in their early age (1-2 weeks, likely due to colonization with TC-resistant bacteria from their mothers and/or the farm environment. The relative abundance of the TC-r genes tet(W, tet(Q and tet(M in fresh excrements of calves was about 1-2 orders of magnitude higher compared to heifers and dairy cows, possibly due to the presence of antibiotic residues in milk fed to calves. The occurrence and abundance of TC-r genes in fresh excrements of heifers and adult cows remained unaffected by intrauterine CTC applications, with tet(O, tet(Q and tet(W representing a ‘core TC-resistome’ of the farm, and tet(A, tet(M, tet(Y and tet(X occurring occasionally. The genes tet(A, tet(M, tet(Y and tet(X were shown to be respectively harbored by Shigella, Lactobacillus and Clostridium, Acinetobacter, and Wautersiella. Soil in the farm proximity, as well as field soil to which manure from the farm was applied, was contaminated with TC-r genes occurring in the farm, and some of the TC-r genes persisted in the field over 3 months following the manure application. Concluding, our study shows that antibiotic resistance genes may be a stable part of the intestinal metagenome of cattle even if antibiotics are not used for growth stimulation, and that smaller dairy farms may also contribute to environmental pollution with antibiotic resistance genes.

Investment appraisal of technology innovations on dairy farm electricity consumption

NARCIS (Netherlands)

Upton, J.; Murphy, M.; Boer, de I.J.M.; Groot Koerkamp, P.W.G.; Berentsen, P.B.M.; Shalloo, L.

2015-01-01

The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated

Technological Innovation in Dutch Cattle Breeding and Dairy Farming, 1850-2000

NARCIS (Netherlands)

Bieleman, J.

2005-01-01

This article attempts to present the broad outlines of technological change in Dutch cattle breeding and dairy farming over the last 150 years. After 1850, Dutch dairy farmers and cattle breeders profited from the rapidly increasing opportunities offered by expanding foreign markets. Herd book

Decomposing dynamic profit inefficiency of Belgian dairy farms

NARCIS (Netherlands)

Ang, Frederic; Lansink, Alfons Oude

2018-01-01

This paper introduces a nonparametric framework for analysing dynamic profit inefficiency and applies this to a sample of Belgian, specialised dairy farms from 1996 to 2008. Profit inefficiency is decomposed into technical and allocative inefficiency. The paper also decomposes profit inefficiency

Risk factors associated with on-farm mortality in Swedish dairy cows

DEFF Research Database (Denmark)

Alvåsen, K.; Jansson Mörk, M.; Dohoo, I. R.

2014-01-01

Dairy cow mortality (unassisted death and euthanasia) has increased, worldwide and in Sweden. On-farm mortality indicates suboptimal herd health or welfare and causes financial loss for the dairy producer. The objective of this study was to identify cow-level risk factors associated with on......). The effects of potential risk factors on on-farm cow mortality were analysed using a Weibull proportional hazard model with a gamma distributed frailty effect common to cows within herd. The event of interest (failure) was euthanasia or unassisted death. An observation was right censored if the cow...

Islands of dairy in a sea of sugarcane: the future of family dairy farming in Brazil

NARCIS (Netherlands)

Monteiro Novo, A.L.

2012-01-01

The future of family farming is a matter of debate, especially because of the far-reaching economic and political changes that are occurring. One vision is that family farms will disappear because they are less efficient than large-scale industrial farming enterprises. Others foresee that they

Optimal location of centralized biodigesters for small dairy farms: A case study from the United States

Directory of Open Access Journals (Sweden)

Deep Mukherjee

2015-06-01

Full Text Available Anaerobic digestion technology is available for converting livestock waste to bio-energy, but its potential is far from fully exploited in the United States because the technology has a scale effect. Utilization of the centralized anaerobic digester (CAD concept could make the technology economically feasible for smaller dairy farms. An interdisciplinary methodology to determine the cost minimizing location, size, and number of CAD facilities in a rural dairy region with mostly small farms is described. This study employs land suitability analysis, operations research model and Geographical Information System (GIS tools to evaluate the environmental, social, and economic constraints in selecting appropriate sites for CADs in Windham County, Connecticut. Results indicate that overall costs are lower if the CADs are of larger size and are smaller in number.

Use of homeopathy in organic dairy farming in Spain.

Science.gov (United States)

Orjales, Inmaculada; López-Alonso, Marta; Rodríguez-Bermúdez, Ruth; Rey-Crespo, Francisco; Villar, Ana; Miranda, Marta

2016-02-01

Organic farming principles promote the use of unconventional therapies as an alternative to chemical substances (which are limited by organic regulations), with homeopathy being the most extensive. Traditionally, Spain has had little faith in homeopathy but its use in organic farming is growing. Fifty-six Spanish organic dairy farmers were interviewed to obtain what we believe to be the first data on the use of homeopathy in organic dairy cattle in Spain. Only 32% of farms use some sort of alternative therapy (16.1% homeopathy, 10.7% phytotherapy and 5.3% using both therapies) and interestingly, a clear geographical pattern showing a higher use towards the East (similar to that in the human population) was observed. The main motivation to use homeopathy was the need to reduce chemical substances promoted by organic regulations, and the treatment of clinical mastitis being the principle reason. The number of total treatments was lower in farms using homeopathy compared with those applying allopathic therapies (0.13 and 0.54 treatments/cow/year respectively) and although the bulk SCC was significantly higher (p Homeopathy. Published by Elsevier Ltd. All rights reserved.

Cultivation of algae consortium in a dairy farm wastewater for biodiesel production

Directory of Open Access Journals (Sweden)

S. Hena

2015-06-01

Full Text Available Dairy farm wastewaters are potential resources for production of microalgae biofuels. A study was conducted to evaluate the capability of production of biodiesel from consortium of native microalgae culture in dairy farm treated wastewater. Native algal strains were isolated from dairy farm wastewaters collection tank (untreated wastewater as well as from holding tank (treated wastewater. The consortium members were selected on the basis of fluorescence response after treating with Nile red reagent. Preliminary studies of two commercial and consortium of ten native strains of algae showed good growth in wastewaters. A consortium of native strains was found capable to remove more than 98% nutrients from treated wastewater. The biomass production and lipid content of consortium cultivated in treated wastewater were 153.54 t ha−1 year−1 and 16.89%, respectively. 72.70% of algal lipid obtained from consortium could be converted into biodiesel.

Groundwater quality on dairy farms in central South Africa

African Journals Online (AJOL)

Keywords: Water quality, groundwater, E. coli, coliforms, nitrate, hardness, dairy farms. INTRODUCTION ... a major contributor to the South African economy through ..... co.za/milk-procurement-model (Accessed 1 November 2013). DAHIYA S ...

Feasibility and validity of animal-based indicators for on-farm welfare assessment of thermal stress in dairy goats

Science.gov (United States)

Battini, Monica; Barbieri, Sara; Fioni, Luna; Mattiello, Silvana

2016-02-01

This investigation tested the feasibility and validity of indicators of cold and heat stress in dairy goats for on-farm welfare assessment protocols. The study was performed on two intensive dairy farms in Italy. Two different 3-point scale (0-2) scoring systems were applied to assess cold and heat stress. Cold and heat stress scores were visually assessed from outside the pen in the morning, afternoon and evening in January-February, April-May and July 2013 for a total of nine sessions of observations/farm. Temperature (°C), relative humidity (%) and wind speed (km/h) were recorded and Thermal Heat Index (THI) was calculated. The sessions were allocated to three climatic seasons, depending on THI ranges: cold (65). Score 2 was rarely assessed; therefore, scores 1 and 2 were aggregated for statistical analysis. The amount of goats suffering from cold stress was significantly higher in the cold season than in neutral ( P farm feasibility of both indicators: No constraint was found and time required was less than 10 min. Our results show that cold and heat stress scores are valid indicators to detect thermal stress in intensively managed dairy goats. The use of a binary scoring system (presence/absence), merging scores 1 and 2, may be a further refinement to improve the feasibility. This study also allows the prediction of optimal ranges of THI for dairy goat breeds in intensive husbandry systems, setting a comfort zone included into 55 and 70.

Planning of dairy farm and dairy plant based ecotourism

Science.gov (United States)

Sarnyoto, A. S.; Tama, I. P.; Tantrika, C. F. M.

2017-06-01

One of a dairy production company producing pasteurized milk and yoghurt drink, whose brand has widely known in East Java, has a factory plant in Batu City, one of tourism destinations in Indonesia. Behind the factory plant, there is a vacant land with an estimated total area of 2.3 ha and a vacant cowshed which had not been used for cattle ranching. Because of that, the company planned to develop the vacant land as a dairy farm and plant based ecotourism. In addition, dairy farm and dairy plant based tourism attractions are still rarely found in Batu. Thus, the first aim of this study was to analyse the potencies of the company that related to future plans of ecotourism built. The second aim was to set up the strategies that can be done in order to actualize the ecotourism project. The next aim was to plan the ecotourism, especially the facilities planning and the facilities arrangement on the vacant land. Strategic management approach was used to analyse the potencies and to determine the strategies. To select the proper facilities, tourists were asked to give appraisal by using questionnaire. Appraisal result was mapped onto four quadrants spatial map to see advantages and shortcomings of each facility along with choosing the right facilities to be built. Those facilities and tourist activities were compared with ecotourism criteria to make sure that the facilities were appropriate to provide not only entertainment but also ecotourism function. To arrange the chosen facilities, the step in Systematic Layout Planning were conducted to generate a propose layout of facilities arrangement. Based on potencies analysis, in Internal-External matrix, the company current position was on quadrant 2 (grow and build), with the most appropriate strategy was intensive or integrative. The proposed strategies were to build the new infrastructure, to renovate cowshed, and to add new tourism facilities on the land. There were 11 selected facilities based on MDS. Moreover, based

Risk perception and management in smallholder dairy farming in Tigray, Northern Ethiopia

NARCIS (Netherlands)

Gebreegziabher, K.; Tadesse Woeldesenbet, T.

2014-01-01

Empirical studies on smallholder dairy farmers' risk perceptions and management strategies have still received little attention in agricultural research of developing countries. This study focuses on farmers' risk perception and management strategies of smallholder dairy farms in urban and

Farm-level risk factors for Fasciola hepatica infection in Danish dairy cattle as evaluated by two diagnostic methods

DEFF Research Database (Denmark)

Takeuchi-Storm, Nao; Denwood, Matthew; Hansen, Tina Vicky Alstrup

2017-01-01

) as a tool for diagnosis in Danish dairy cattle farms was assessed. This case-control study aimed to identify farm-level risk factors for fasciolosis in Danish dairy farms (> 50 animals slaughtered in 2013) using two diagnostic methods: recordings of liver condemnation at slaughter, and farm-level Fasciola...

A review of health and safety leadership and managerial practices on modern dairy farms.

Science.gov (United States)

Hagevoort, G Robert; Douphrate, David I; Reynolds, Stephen J

2013-01-01

As modern dairy operations around the world expand, farmers are increasingly reliant on greater automation and larger numbers of hired labor to milk cows and perform other essential farm tasks. Dairy farming is among the most dangerous occupations, with high rates of injury, illness, and employee turnover. Lower education levels, illiteracy, and limited language proficiency increase the possibility of injury or death associated with higher risk occupations such as dairy. Sustaining a healthy, productive workforce is a critical component of risk management; however, many owners and managers have not received formal training in employee management or occupational health and safety. Optimal dairy farming management should address milk production that is sustainable and responsible from the animal welfare, social, economic, and environmental perspectives. Each of these aspects is interdependent with each other and with a sustainable, healthy, productive workforce. Very few studies address the effectiveness of risk management in the dairy industry. Studies suggest that labor management practices are a potential competitive advantage for dairy farms, but the connection with efficiency, productivity, and profitability has not been clearly demonstrated. Transformational leadership has been associated with improved safety climate and reduced incidence of injury, whereas passive leadership styles have opposite effects. There is a need to develop and evaluate the effectiveness of safety-specific transformational leadership among dairy owners and managers. A systematic approach to risk management should address worker health and safety as an integral component of production, food safety, and animal welfare. A successful program must address the cultural and linguistic barriers associated with immigrant workers.

A Survey of Reproductive Management Strategies on US Commercial Dairy Farms

OpenAIRE

Olynk, Nicole J.; Wolf, Christopher A.

2008-01-01

Reproductive performance on the dairy farm affects the dairy’s profit because it directly affects milk production, the availability of replacements, the amounts of voluntary and involuntary culling, breeding costs, and costs associated with veterinary care (Britt, 1985). Reproductive management programs selected for implementation differ across farms due to varying on-farm costs, such as labor costs, opportunity costs of management and labor, as well as facilities, farm goals and values, and ...

Extended-spectrum β-lactamase producing Enterobacteriaceae in bulk tank milk from German dairy farms.

Science.gov (United States)

Odenthal, Sabrina; Akineden, Ömer; Usleber, Ewald

2016-12-05

Although the dairy farm environment is a known source of extended-spectrum β-lactamase (ESBL)-producing bacteria, surveillance data on ESBL in the milk production chain are still scarce. This study aimed at estimating the dimensions of the problem for public health and animal welfare by surveying ESBL-producing Enterobacteriaceae in raw bulk tank milk in Germany. Samples from 866 dairy farms, comprising about 1% of the total number of dairy farms in Germany, were first screened for presence of cefotaxime-resistant bacteria by selective enrichment. Suspect colonies were identified phenotypically and further characterized by biochemical and molecular methods, including analysis of resistance genes and clonal diversity in ESBL-producing isolates. Bulk tank milk from 82 (9.5%) farms yielded Enterobacteriaceae with confirmed ESBL-production. The most frequent ESBL-producing species was Escherichia coli (75.6%), followed by Citrobacter spp. (9.6%), Enterobacter cloacae (6.1%), and Klebsiella oxytoca (3.7%), a few isolates belonged to other species within the genera Hafnia, Raoutella and Serratia. The majority of isolates (95.1%) harbored the β-lactamase blaCTX-M gene, which has gained increased importance among ESBL-producing strains worldwide; the CTX-M group 1 was found to be the dominating (88.4%) phylogenetic group. All ESBL-positive Escherichia coli isolates were clonally heterogeneous, as determined by pulsed-field gel electrophoresis. The results from this survey demonstrate that ESBL-producing bacteria are distributed widely in the dairy farm environment in Germany. Therefore, raw milk is a potential source of exposure for the consumer, which is of increasing importance considering the trend of farmer-to-consumer direct marketing. Furthermore, dairy farm staff have an increased likelihood of exposure to ESBL-producing bacteria. Finally, ESBL-producing bacteria may also be transferred via waste milk to calves, thus further spreading antibiotic resistance in the

Invited review: Current production trends, farm structures, and economics of the dairy sheep and goat sectors.

Science.gov (United States)

Pulina, G; Milán, M J; Lavín, M P; Theodoridis, A; Morin, E; Capote, J; Thomas, D L; Francesconi, A H D; Caja, G

2018-05-30

Dairy small ruminants account for approximately 21% of all sheep and goats in the world, produce around 3.5% of the world's milk, and are mainly located in subtropical-temperate areas of Asia, Europe, and Africa. Dairy sheep are concentrated around the Mediterranean and Black Sea regions, where their dairy products are typical ingredients of the human diet. Dairy goats are concentrated in low-income, food-deficit countries of the Indian subcontinent, where their products are a key food source, but are also present in high-income, technologically developed countries. This review evaluates the status of the dairy sheep and goat sectors in the world, with special focus on the commercially and technically developed industries in France, Greece, Italy, and Spain (FGIS). Dairy small ruminants account for a minor part of the total agricultural output in France, Italy, and Spain (0.9 to 1.8%) and a larger part in Greece (8.8%). In FGIS, the dairy sheep industry is based on local breeds and crossbreeds raised under semi-intensive and intensive systems and is concentrated in a few regions in these countries. Average flock size varies from small to medium (140 to 333 ewes/farm), and milk yield from low to medium (85 to 216 L/ewe), showing substantial room for improvement. Most sheep milk is sold to industries and processed into traditional cheese types, many of which are Protected Denomination of Origin (PDO) cheeses for gourmet and export markets (e.g., Pecorino, Manchego, and Roquefort). By comparing break-even milk price among FGIS countries, we observed the following: (1) most Greek and French dairy sheep farms were unprofitable, with the exception of the intensive Chios farms of Greece; (2) milk price was aligned with cost of production in Italy; and (3) profitable farms coexisted with unprofitable farms in Spain. In FGIS, dairy goat production is based on local breeds raised under more extensive systems than sheep. Compared with sheep, average dairy goat herds are

Reliability, availability and maintenance aspects of large-scale offshore wind farms, a concepts study

NARCIS (Netherlands)

Van Bussel, G.J.W.; Zaayer, M.B.

2001-01-01

The DOWEC projects aims at implementation of large wind turbines in large scale wind farms. part of the DOWEC project a concepts study was performed regarding the achievable reliability and availability levels. A reduction with a factor of 2 with regard to the present state of the art seems fairly

Prevalence of and risk factors for Listeria species on dairy farms.

Science.gov (United States)

Vilar, M J; Yus, E; Sanjuán, M L; Diéguez, F J; Rodríguez-Otero, J L

2007-11-01

This cross-sectional study determined the prevalence of Listeria spp. in bulk-tank milk on dairy farms in the region of Galicia in northwest Spain. The aim was to identify management practices associated with the presence of Listeria spp. and possible effects on milk hygienic quality. A total of 98 farms was randomly selected on the basis of an expected prevalence of 6.5% for Listeria monocytogenes from 20,107 dairy farms in the region. Bulk-tank milk samples were obtained from 98 farms, fecal samples from lactating cows from 97 farms, and silage samples from 83 farms. Listeria monocytogenes was detected in 6.1, 9.3, and 6.0% of these samples, respectively. Statistical analyses confirmed the relationship between low silage quality (as indicated by high pH) and presence of Listeria spp. in silage (29.5 vs. 6.2% for pH above or below 4.5, respectively). Only milking system [tie-stall systems (28.6%) vs. parlor milking (10%)] and inadequately controlled milking order [yes (32.0%) vs. no (10.7%)] had statistically significant effects on management practices for increasing the risk of Listeria contamination of bulk-tank milk.

AN EVALUATION OF RISK MANAGEMENT STRATEGIES FOR DAIRY FARMS

OpenAIRE

Bosch, Darrell J.; Johnson, Christian J.

1992-01-01

Variability in feed prices and crop yields are important sources of risk to dairy farmers. A simulation model of a representative dairy farm was used to evaluate crop insurance and hedging as risk management strategies. These strategies lowered expected net returns but also reduced risk. The preferred set of strategies at lower levels of risk aversion included hedging and crop insurance, although a base scenario in which no risk management strategies were employed was also efficient. The pref...

A Comprehensive Energy Analysis and Related Carbon Footprint of Dairy Farms, Part 1: Direct Energy Requirements

Directory of Open Access Journals (Sweden)

Giuseppe Todde

2018-02-01

Full Text Available Dairy cattle farms are continuously developing more intensive systems of management which require higher utilization of durable and not-durable inputs. These inputs are responsible of significant direct and indirect fossil energy requirements which are related to remarkable emissions of CO2. This study aims to analyze direct energy requirements and the related carbon footprint of a large population of conventional dairy farms located in the south of Italy. A detailed survey of electricity, diesel and Liquefied Petroleum Gas (LPG consumptions has been carried out among on-farm activities. The results of the analyses showed an annual average fuel consumption of 40 kg per tonne of milk, while electricity accounted for 73 kWh per tonne of milk produced. Expressing the direct energy inputs as primary energy, diesel fuel results the main resource used in on-farm activities, accounting for 72% of the total fossil primary energy requirement, while electricity represents only 27%. Moreover, larger farms were able to use more efficiently the direct energy inputs and reduce the related emissions of carbon dioxide per unit of milk produced, since the milk yield increases with the herd size. The global average farm emissions of carbon dioxide equivalent, due to all direct energy usages, accounted for 156 kg CO2-eq per tonne of Fat and Protein Corrected Milk (FPCM, while farms that raise more than 200 heads emitted 36% less than the average value. In this two-part series, the total energy demand (Part 1 + Part 2 per farm is mainly due to agricultural inputs and fuel consumption, which have the largest quota of the annual requirements for each milk yield class. These results also showed that large size farms held lower CO2-eq emissions when referred to the mass of milk produced.

Using Milk Urea Nitrogen to Evaluate Diet Formulation and Environmental Impact on Dairy Farms

Directory of Open Access Journals (Sweden)

J.S. Jonker

2001-01-01

Full Text Available Reducing nitrogen (N excretion by dairy cattle is the most effective means to reduce N losses (runoff, volatilization, and leaching from dairy farms. The objectives of this review are to examine the use of milk urea nitrogen (MUN to measure N excretion and utilization efficiency in lactating dairy cows and to examine impacts of overfeeding N to dairy cows in the Chesapeake Bay drainage basin. A mathematical model was developed and evaluated with an independent literature data set to integrate MUN and milk composition to predict urinary and fecal excretion, intake, and utilization efficiency for N in lactating dairy cows. This model was subsequently used to develop target MUN concentrations for lactating dairy cattle fed according to National Research Council (NRC recommendations. Target values calculated in this manner were 8 to 14 mg/dl for a typical lactation and were most sensitive to change in milk production and crude protein intake. Routine use of MUN to monitor dairy cattle diets was introduced to dairy farms (n = 1156 in the Chesapeake Bay watershed. Participating farmers (n = 454 were provided with the results of their MUN analyses and interpretive information monthly for a period of 6 months. The average MUN across all farms in the study increased in the spring, but the increase was 0.52 mg/dl lower for farmers receiving MUN results compared to those who did not participate in the program. This change indicated that participating farmers reduced N feeding compared to nonparticipants. Average efficiency of feed N utilization (N in milk / N in feed x 100 was 24.5% (SD = 4.5. On average, farmers fed 6.6% more N than recommended by the NRC, resulting in a 16% increase in urinary N and a 2.7% increase in fecal N compared to feeding to requirement. N loading to the Chesapeake Bay from overfeeding protein to lactating dairy cattle was estimated to be 7.6 million kg/year. MUN is a useful tool to measure diet adequacy and environmental impact

Dairy development and nutrition in Kilifi District, Kenya

NARCIS (Netherlands)

Leegwater, P.; Ngolo, J.; Hoorweg, J.C.

1991-01-01

The objectives of this study on dairy development in Kilifi District, Kenya, are, first, to assess the importance of - small-scale - intensive dairy farming as promoted by the Ministry of Livestock through the National Dairy Development Programme (DDP) compared with other types of small-scale dairy

e-Dairy: a dynamic and stochastic whole-farm model that predicts biophysical and economic performance of grazing dairy systems.

Science.gov (United States)

Baudracco, J; Lopez-Villalobos, N; Holmes, C W; Comeron, E A; Macdonald, K A; Barry, T N

2013-05-01

A whole-farm, stochastic and dynamic simulation model was developed to predict biophysical and economic performance of grazing dairy systems. Several whole-farm models simulate grazing dairy systems, but most of them work at a herd level. This model, named e-Dairy, differs from the few models that work at an animal level, because it allows stochastic behaviour of the genetic merit of individual cows for several traits, namely, yields of milk, fat and protein, live weight (LW) and body condition score (BCS) within a whole-farm model. This model accounts for genetic differences between cows, is sensitive to genotype × environment interactions at an animal level and allows pasture growth, milk and supplements price to behave stochastically. The model includes an energy-based animal module that predicts intake at grazing, mammary gland functioning and body lipid change. This whole-farm model simulates a 365-day period for individual cows within a herd, with cow parameters randomly generated on the basis of the mean parameter values, defined as input and variance and co-variances from experimental data sets. The main inputs of e-Dairy are farm area, use of land, type of pasture, type of crops, monthly pasture growth rate, supplements offered, nutritional quality of feeds, herd description including herd size, age structure, calving pattern, BCS and LW at calving, probabilities of pregnancy, average genetic merit and economic values for items of income and costs. The model allows to set management policies to define: dry-off cows (ceasing of lactation), target pre- and post-grazing herbage mass and feed supplementation. The main outputs are herbage dry matter intake, annual pasture utilisation, milk yield, changes in BCS and LW, economic farm profit and return on assets. The model showed satisfactory accuracy of prediction when validated against two data sets from farmlet system experiments. Relative prediction errors were <10% for all variables, and concordance

Factors influencing Adoption of Napier Grass in Smallholder Dairy Farming in Kiambu District, Kenya

International Nuclear Information System (INIS)

Irungu, P.; Mbogoh, S.; Staai, S.; Thorpe, W.; Njubi, D.

1999-01-01

Smallholder dairy farming in Kenya accounts for over 70% of the total marketed milk, which amounts to US$400 million at the current exchange rate. Milk production on smallholder dairy farms is usually low. This is mainly attributed to poor nutrition. Planting forages may improve the level of feeding and nutrition and thus raise both farm productivity and overall supply of milk to the growing urban markets. Data from 365 households in Kiambu District were gathered through questionnaire interviews with farmers between June and July 1996 and economic models used to quantitatively evaluate socio-economic and institutional factors postulated to influence the adoption of Napier grass as a forage in the experience and-or channeling interventions thorough dairy co-operative societies and farmer organisations may result in higher adoption rates of dairy cattle fodder. Thus, efforts aimed at promoting planted fodder in other highland areas of Kenya could utilise the results obtained in the present study

Feasibility and validity of animal-based indicators for on-farm welfare assessment of thermal stress in dairy goats.

Science.gov (United States)

Battini, Monica; Barbieri, Sara; Fioni, Luna; Mattiello, Silvana

2016-02-01

This investigation tested the feasibility and validity of indicators of cold and heat stress in dairy goats for on-farm welfare assessment protocols. The study was performed on two intensive dairy farms in Italy. Two different 3-point scale (0-2) scoring systems were applied to assess cold and heat stress. Cold and heat stress scores were visually assessed from outside the pen in the morning, afternoon and evening in January-February, April-May and July 2013 for a total of nine sessions of observations/farm. Temperature (°C), relative humidity (%) and wind speed (km/h) were recorded and Thermal Heat Index (THI) was calculated. The sessions were allocated to three climatic seasons, depending on THI ranges: cold (65). Score 2 was rarely assessed; therefore, scores 1 and 2 were aggregated for statistical analysis. The amount of goats suffering from cold stress was significantly higher in the cold season than in neutral (P stress were recorded only in the hot season (P stress scores are valid indicators to detect thermal stress in intensively managed dairy goats. The use of a binary scoring system (presence/absence), merging scores 1 and 2, may be a further refinement to improve the feasibility. This study also allows the prediction of optimal ranges of THI for dairy goat breeds in intensive husbandry systems, setting a comfort zone included into 55 and 70.

Mitigation of greenhouse gas emissions by adopting anaerobic digestion technology on dairy, sow and pig farms in Finland

Energy Technology Data Exchange (ETDEWEB)

Kaparaju, P.; Rintala, J. [Department of Biological and Environmental Science, University of Jyvaeskylae, P.O. Box 35, FIN-40014 Jyvaeskylae (Finland)

2011-01-15

The impact of anaerobic digestion (AD) technology on mitigating greenhouse gas (GHG) emissions from manure management on typical dairy, sow and pig farms in Finland was compared. Firstly, the total annual GHG emissions from the farms were calculated using IPCC guidelines for a similar slurry type manure management system. Secondly, laboratory-scale experiments were conducted to estimate methane (CH{sub 4}) potentials and process parameters for semi-continuous digestion of manures. Finally, the obtained experimental data were used to evaluate the potential renewable energy production and subsequently, the possible GHG emissions that could be avoided through adoption of AD technology on the studied farms. Results showed that enteric fermentation (CH{sub 4}) and manure management (CH{sub 4} and N{sub 2}O) accounted for 231.3, 32.3 and 18.3 Mg of CO{sub 2} eq. yr{sup -1} on dairy, sow and pig farms, respectively. With the existing farm data and experimental methane yields, an estimated renewable energy of 115.2, 36.3 and 79.5 MWh of heat yr{sup -1} and 62.8, 21.8 and 47.7 MWh of electricity yr{sup -1} could be generated in a CHP plant on these farms respectively. The total GHG emissions that could be offset on the studied dairy cow, sow and pig farms were 177, 87.7 and 125.6 Mg of CO{sub 2} eq. yr{sup -1}, respectively. The impact of AD technology on mitigating GHG emissions was mainly through replaced fossil fuel consumption followed by reduced emissions due to reduced fertilizer use and production, and from manure management. (author)

Influence of distance to urban markets on smallholder dairy farming systems in Kenya.

Science.gov (United States)

Migose, S A; Bebe, B O; de Boer, I J M; Oosting, S J

2018-03-28

We studied influence of distance to urban markets on smallholder dairy farming system development. Farms were chosen from three locations that varied in distance to the urban market of Nakuru Town in the Kenyan highlands: urban location (UL, n = 10) at less than 15 km distance, mid-rural location (MRL, n = 11) in between 20 and 50 km west of Nakuru and extreme rural location (ERL, n = 9) beyond 50 km west and south-west of Nakuru. In-depth interviews with farmers and focus group discussions with eight groups of stakeholders were held to collect narratives and data about market quality, production factors, farm performance and functions of dairy cattle. We applied thematic content analysis to qualitative information by clustering narratives according to predefined themes and used ANOVA to analyse farm data. In UL, markets were functional, with predominantly informal market chains, with a high milk price (US $ 45.1/100 kg). Inputs were available in UL markets, but prices were high for inputs such as concentrates, fodder, replacement stock and hired labour. Moreover, availability of grazing land and the high opportunity costs for family labour were limiting dairy activities. In UL, milk production per cow (6.9 kg/cow/day) and per farm (20.1 kg/farm/day) were relatively low, and we concluded that farm development was constrained by scarcity of inputs and production factors. In rural locations (MRL and ERL), markets were functional with relatively low prices (average US $ 32.8/100 kg) for milk in both formal and informal market chains. Here, concentrates were relatively cheap but also of low quality. Fodder, replacement stock and labour were more available in rural locations than in UL. In rural locations, milk production per cow (average 7.2 kg/cow/day) and per farm (average 18.5 kg/farm/day) were low, and we concluded that farm development was constrained by low quality of concentrates and low price of milk. In all locations, production for

Milk microbiological profile of four dairy farms from São Paulo State, Brazil

OpenAIRE

Adna Crisleia Rodrigues Monção; Juliana Rodrigues Pozzi Arcaro; Thiago Pereira Motta; Lívia Castelani; Thamires Martins; Adriana Frizzarin; Heloisa de Azevedo; Cláudia Rodrigues Pozzi

2012-01-01

The concern in milk quality, milk production, and in animals’ welfare is in constant increase. Mastitis is recognized as the main disease affecting dairy animals because of changing in milk composition and reduction in milk production. In Brazil, the highest incidence of mastitis is related to infectious agents. This study aimed to investigate the incidence of pathogenic microorganisms in milk produced by 60 cows from four dairy farms (15 cows/farm) located at Sao Paulo state, Brazil. Milk sa...

Comparing risk in conventional and organic dairy farming in the Netherlands: an empirical analysis.

Science.gov (United States)

Berentsen, P B M; Kovacs, K; van Asseldonk, M A P M

2012-07-01

This study was undertaken to contribute to the understanding of why most dairy farmers do not convert to organic farming. Therefore, the objective of this research was to assess and compare risks for conventional and organic farming in the Netherlands with respect to gross margin and the underlying price and production variables. To investigate the risk factors a farm accountancy database was used containing panel data from both conventional and organic representative Dutch dairy farms (2001-2007). Variables with regard to price and production risk were identified using a gross margin analysis scheme. Price risk variables were milk price and concentrate price. The main production risk variables were milk yield per cow, roughage yield per hectare, and veterinary costs per cow. To assess risk, an error component implicit detrending method was applied and the resulting detrended standard deviations were compared between conventional and organic farms. Results indicate that the risk included in the gross margin per cow is significantly higher in organic farming. This is caused by both higher price and production risks. Price risks are significantly higher in organic farming for both milk price and concentrate price. With regard to production risk, only milk yield per cow poses a significantly higher risk in organic farming. Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Dynamic Profit Inefficiency: A DEA Application to Belgian Dairy Farms

OpenAIRE

Ang, Frederic; Oude Lansink, Alfons

2014-01-01

Using a nonparametric framework, we analyze dynamic profit inefficiency for a sample of Belgian, specialized dairy farms from 1996–2008. Profit inefficiency is decomposed into contributions of output, input, and investment. Moreover, we identify the contributions of technical and allocative inefficiency in each input and output. The results suggest substantial profit inefficiency under the current dairy-quota system, mainly driven by an average underproduction of approximately 50 percent and ...

Stochastic bio-economic modeling of mastitis in Ethiopian dairy farms.

Science.gov (United States)

Getaneh, Abraham Mekibeb; Mekonnen, Sefinew Alemu; Hogeveen, Henk

2017-03-01

Mastitis is an inflammation of the mammary gland that is considered to be one of the most frequent and costly diseases in the dairy industry. Also in Ethiopia, bovine mastitis is one of the most frequently encountered diseases of dairy cows. However, there was no study, so far, regarding the costs of clinical mastitis and only two studies were reported on costs of subclinical mastitis. Presenting an appropriate and complete study of the costs of mastitis will help farmers in making management decisions for mastitis control. The objective of this study was to estimate the economic effects of mastitis on Ethiopian market-oriented dairy farms. Market-oriented dairy farming is driven by making profits through selling milk in the market on a regular basis. A dynamic stochastic Monte-Carlo simulation model (bio-economic model) was developed taking into account both clinical and subclinical mastitis. Production losses, culling, veterinarian costs, treatment, discarded milk, and labour were the main cost factors which were modeled in this study. The annual incidence of clinical mastitis varied from 0 to 50% with a mean annual incidence of 21.6%, whereas the mean annual incidence of subclinical mastitis was 36.2% which varied between 0 and 75%. The total costs due to mastitis for a default farm size of 8 lactating cows were 6,709 ETB per year (838 ETB per cow per year). The costs varied considerably, with 5th and 95th percentiles of 109 ETB and 22,009 ETB, respectively. The factor most contributing to the total annual cost of mastitis was culling. On average a clinical case costs 3,631 ETB, varying from 0 to 12,401, whereas a sub clinical case costs 147 ETB, varying from 0 to 412. The sensitivity analysis showed that the total costs at the farm level were most sensitive for variation in the probability of occurrence of clinical mastitis and the probability of culling. This study helps farmers to raise awareness about the actual costs of mastitis and motivate them to timely

Screening of selected indicators of dairy cattle welfare in Macedonia

Directory of Open Access Journals (Sweden)

Miroslav Radeski

2015-03-01

Full Text Available The welfare state of cattle in dairy farms in Macedonia has never been assessed previously. The objective of this study was to perform screening analysis of dairy cows welfare and to test the practical implementation of the Welfare Quality® Assessment protocol for cattle in dairy farms in Macedonia. In ten small scale and large scale tie stall farms 23 measures were recorded related to 9 welfare criteria of 4 welfare principles (WP described in the Welfare Quality® Assessment protocol for dairy cows. The mean percentage of very lean cows was 40.5±9.1%. All assessed farms were not providing access to pasture and an outdoor loafing area. Regarding cleanliness, the presence of dirty udder, upper leg/flank and lower leg was 65.2±9.0%, 85.5±8.0% and 86.5±5.8%, respectively. The overall prevalence of lameness was 5.6±5.0%, and for mild and severe alterations it was 30.8±5.8% and 54.1±4.6%, respectively. The ocular and vulvar discharge, diarrhea, dystocia, percentage of downer cows and mortality rate exceeded the warning and alarm threshold. The avoidance – distance test classified 70.4±6.8% as animals that can be touched or approached closer than 50cm, with overall score of 42.9±3.5. This screening reveals that the most welfare concerns are found in the WP Good Feeding and Good Housing. The on-farm welfare assessment using the full protocol on a representative sample of farms in the country is highly recommended for emphasizing the key points for improving the animal welfare in Macedonian dairy farms.

Impacts of Nutrition and Feeding Programs on Farmers’ Management Decisions Affecting the Success of Dairy Farms with Culture Breed Cattle

Directory of Open Access Journals (Sweden)

Yavuz Topcu

2016-02-01

Full Text Available The aim of the study is to evaluate all the factors determining the milk production and yield decisions with regard to the nutrition and feeding programs affecting the integrated management strategies on the success of the dairy farms with culture breed cattle under the pasture-based and indoor barn-based production systems. For these aims, data obtained from the individual interviews conducted at the dairy farms with 100 culture breed cattle were used for Principal Component and Multiple Regression Analyses. The results of the study highlighted that while there were linear positive relationships among liquid assets of farms value, concentrate feed and fodder intake of dairy cattle, milk sale price, forage crop support, additional feeding and their types at pasture and milk yields per dairy cattle at the dairy farms; there were inverse relationships among hay intake of dairy cattle, lactation period, pasture planning, culture breed cattle support and those. The farmers could increase the successes of the dairy farms by increasing the technical and economic effectiveness under the integrated management pattern approaches at those with culture breed cattle.

Investment appraisal of technology innovations on dairy farm electricity consumption.

Science.gov (United States)

Upton, J; Murphy, M; De Boer, I J M; Groot Koerkamp, P W G; Berentsen, P B M; Shalloo, L

2015-02-01

The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated the effect of 6 technology investment scenarios on the electricity consumption and electricity costs of the 3 largest electricity-consuming systems within the dairy farm (i.e., milk-cooling, water-heating, and milking machine systems). The technology investment scenarios were direct expansion milk-cooling, ice bank milk-cooling, milk precooling, solar water-heating, and variable speed drive vacuum pump-milking systems. A dairy farm profitability calculator was combined with the electricity consumption model to assess the effect of each investment scenario on the total discounted net income over a 10-yr period subsequent to the investment taking place. Included in the calculation were the initial investments, which were depreciated to zero over the 10-yr period. The return on additional investment for 5 investment scenarios compared with a base scenario was computed as the investment appraisal metric. The results of this study showed that the highest return on investment figures were realized by using a direct expansion milk-cooling system with precooling of milk to 15°C with water before milk entry to the storage tank, heating water with an electrical water-heating system, and using standard vacuum pump control on the milking system. Return on investment figures did not exceed the suggested hurdle rate of 10% for any of the ice bank scenarios, making the ice bank system reliant on a grant aid framework to reduce the initial capital investment and improve the return on investment. The solar water-heating and variable speed drive vacuum pump scenarios failed to produce positive return on investment figures on any of the 3 farm sizes considered on either the day and night

Nutrient management strategies on Dutch dairy farms: an empirical analysis

NARCIS (Netherlands)

Ondersteijn, C.J.M.

2002-01-01

Key Words: MINAS; nitrogen surplus; phosphate surplus; nutrient efficiency; nutrient productivity; financial consequences; strategic management; perceived environmental uncertainty; nutrient management planning; dairy farming; The Netherlands.

Agricultural nutrients are a

Status report of Area 15 experimental dairy farm: dairy husbandry January 1977-June 1979, agronomic practices January 1978-June 1979

International Nuclear Information System (INIS)

Smith, D.D.

1980-01-01

This is the final status report on the operation of the experimental dairy herd and farm in Area 15 of the Nevada Test Site. Operation of the farm was transferred from the Environmental Monitoring Systems Laboratory - Las Vegas to a contractor in September of 1979. The dairy herd portion of the report covers the period from January 1977 to June 1979. Improvement and addition to the facilities, production and reproduction statistics for individual cows and the herd, the veterinary medicine practices employed, and summaries of the metabolism studies that involved the dairy herd are discussed. The agronomic portion of the report covers the period January 1978 to June 1979. Topics include irrigation, fertilization, weed and insect control, and forage production

Quantitative Assessment of Aflatoxin (AFM1) in Milk Collected from Dairy Farms in Faisalabad, Pakistan

International Nuclear Information System (INIS)

Sajid, M.W.; Randhawa, M.A.; Zahoor, T.; Sultan, J.I.

2015-01-01

Milk contamination with aflatoxin (AFM1) is an issue of great concern in developing countries like Pakistan which demands a great attention. Milk constitutes an important part of human diet, particularly for the youngs. So, it is our utmost need to assess the presence of AFM1 in milk. In the present study assessment of AFM1 in milk collected from different dairy farms of Faisalabad was carried out using High Performance Liquid Chromatography (HPLC) equipped with Fluorescence detector. The results were compared with pre-established maximum residual limit (MRL) in order to evaluate the safety of milk for human consumption. The study revealed that all the 50 tested samples were found positive for AFM1 contamination at various levels. Among buffalo dairy farms concentration of AFM1 ranged between 0.0513 λg L-1 and 0.1006 μg L-1. From the cow dairy farms, the AFM1 contamination level was found lowest with a mean of 0.0397 μg L-1 and the highest AFM1 contamination level was with a mean of 0.1143 μg L-1. Overall percentage of AFM1 contamination and concentration levels were found higher in the milk collected from buffalo dairy farms as compared to cow dairy farms. 21 out of 25 (84 percentage) buffalo and 18 out of 25 (72 percentage) cow milk samples were exceeded the European Commission MRL of 0.050 mu g L-1. The results of the present study will be helpful for regulations implementation in order to minimize or avoid the AFM1 contamination in milk from the farms in the study area. (author)

[Epidemiological and financial considerations for the control of Neospora caninum on Swiss dairy farms].

Science.gov (United States)

Häsler, B; Stärk, K; Gottstein, B; Reist, M

2008-06-01

Neospora caninum is widely recognized as one of the most important abortifacients in cattle and causes substantial financial losses to bovine livestock production. This study aimed to calculate the losses caused by N. caninum on Swiss dairy farms and to evaluate the efficacy and profitability of the control strategies culling, not breeding replacements and chemotherapy of calves on farm level. Three different farm sizes with high, medium and low herd prevalences were defined. Epidemiological and financial models were used to simulate the effect of control strategies on the prevalence over time and to perform a cost-benefit analysis. The median annual losses on farm level ranged between CHF 3094.- (= Euro 1875; 60 dairy cattle, high prevalence) and CHF 134.- (= Euro 81; 15 dairy cattle, low prevalence). Culling of animals that had any abortion or a N. caninum abortion, or not breeding replacements from such animals, respectively, were neither effective nor profitable. Only the strategy "not breeding replacements from N. caninum seropositive cows" on farms with a high prevalence was financially attractive. The strategy "chemotherapy of calves" should be re-evaluated as soon as new data regarding the efficacy of treatment and a corresponding protocol have been scientifically validated.

Mineral supplementation in Tunisian smallholder dairy farms

International Nuclear Information System (INIS)

Rekhis, J.; Kouki-Chebbi, K.; Dhaouadi, B.; Khlif, K.

2002-01-01

The aim of the experiment was to determine the effects of supplementation of di-calcium-phosphate in the form of blocks in late pregnancy (2 months before calving), on production and reproduction parameters of dairy cattle in smallholder farms. The experiment covered 63 animals in 20 smallholder farms, divided into control and supplemented groups. Results showed that mineral supplementation had a significant effect on calf weight, milk fat content and reproduction parameters. Calves born to cattle supplemented with di-calcium-phosphate were heavier by 1.67 kg than those in the control group. Similarly, the average milk fat content in the supplemented group was 5.6 g/L (P 0.05). (author)

Pathogens in Dairy Farming: Source Characterization and Groundwater Impacts

Science.gov (United States)

Atwill, E. R.; Watanabe, N.; Li, X.; Hou, L.; Harter, T.; Bergamaschi, B.

2007-12-01

Intense animal husbandry is of growing concern as a potential contamination source of enteric pathogens as well as antibiotics. To assess the public health risk from pathogens and their hydrologic pathways, we hypothesize that the animal farm is not a homogeneous diffuse source, but that pathogen loading to the soil and, therefore, to groundwater varies significantly between the various management units of a farm. A dairy farm, for example, may include an area with calf hutches, corrals for heifers of various ages, freestalls and exercise yards for milking cows, separate freestalls for dry cows, a hospital barn, a yard for collection of solid manure, a liquid manure storage lagoon, and fields receiving various amounts of liquid and solid manure. Pathogen shedding and, hence, therapeutic and preventive pharmaceutical treatments vary between these management units. We are implementing a field reconnaissance program to determine the occurrence of three different pathogens ( E. coli, Salmonella, Campylobacter) and one indicator organism ( Enterococcus) at the ground-surface and in shallow groundwater of seven different management units on each of two farms, and in each of four seasons (spring/dry season, summer/irrigation season, fall/dry season, winter/rainy season). Initial results indicate that significant differences exist in the occurrence of these pathogens between management units and between organisms. These differences are weakly reflected in their occurrence in groundwater, despite the similarity of the shallow geologic environment across these sites. Our results indicate the importance of differentiating sources within a dairy farm and the importance of understanding subsurface transport processes for these pathogens.

An LP-model to analyse economic and ecological sustainability on Dutch dairy farms: model presentation and application for experimental farm "de Marke"

NARCIS (Netherlands)

Calker, van K.J.; Berentsen, P.B.M.; Boer, de I.J.M.; Giesen, G.W.J.; Huirne, R.B.M.

2004-01-01

Farm level modelling can be used to determine how farm management adjustments and environmental policy affect different sustainability indicators. In this paper indicators were included in a dairy farm LP (linear programming)-model to analyse the effects of environmental policy and management

Influence of grazing and land use on stream-channel characteristics among small dairy farms in the Eastern United States

Science.gov (United States)

Brand, Genevieve; Vondracek, Bruce C.; Jordan, Nicholas R.

2015-01-01

Rotational grazing (RG) is a livestock management practice that rotates grazing cattle on a scale of hours to days among small pastures termed paddocks. It may beneficially affect stream channels, relative to other livestock management practices. Such effects and other beneficial effects on hydrology are important to RG's potential to provide a highly multifunctional mode of livestock farming. Previous comparisons of effects of RG and confinement dairy (CD) on adjoining streams have been restricted in scale and scope. We examined 11 stream-channel characteristics on a representative sample of 37 small dairy farms that used either RG or CD production methods. Our objectives were: (1) to compare channel characteristics on RG and CD farms, as these production methods are implemented in practice, in New York, Pennsylvania and Wisconsin, USA; and (2) to examine land use on these farms that may affect stream-channel characteristics. To help interpret channel characteristic findings, we examined on-farm land use in riparian areas 50 m in width along both sides of stream reaches and whole-farm land use. In all states, stream-channel characteristics on RG and CD farms did not differ. Whole-farm land use differed significantly between farm types; CD farms allocated more land to annual row crops, whereas RG farms allocated more land to pasture and grassland. However, land cover in 50 m riparian areas was not different between farm types within states; in particular, many RG and CD farms had continuously grazed pastures in riparian areas, typically occupied by juvenile and non-lactating cows, which may have contributed sediment and nutrients to streams. This similarity in riparian management practices may explain the observed similarity of farm types with respect to stream-channel characteristics. To realize the potential benefits of RG on streams, best management practices that affect stream-channel characteristics, such as protection of riparian areas, may improve aggregate

Spread of tetracycline resistance genes at a conventional dairy farm

Czech Academy of Sciences Publication Activity Database

Kyselková, Martina; Jirout, Jiří; Vrchotová, Naděžda; Schmitt, H.; Elhottová, Dana

2015-01-01

Roč. 6, may (2015), s. 536 ISSN 1664-302X R&D Projects: GA ČR GAP504/10/2077; GA MŠk(CZ) EE2.3.30.0032; GA MŠk(CZ) LO1415 Institutional support: RVO:67179843 ; RVO:60077344 Keywords : antibiotic resistance spread * animal manure * cattle intestinal microflora * chlortetracycline * dairy cattle * dairy farm * heavy metals * tetracycline resistance genes Subject RIV: EI - Biotechnology ; Bionics; EE - Microbiology, Virology (BC-A) Impact factor: 4.165, year: 2015

ECONOMIC EFFECTS OF INFORMATION TECHNOLOGY ON DAIRY FARMS IN THE NETHERLANDS AND ISRAEL

OpenAIRE

Van Asseldonk, Marcel A.P.M.; Huirne, Ruud B.M.; Dijkhuizen, Aalt A.; Tomaszewski, Michael A.; Gelb, Ehud M.

1998-01-01

Effects of a number of information technology applications were quantified empirically which were implemented on Dutch and Israeli dairy farms. Data comprised annual farm performances from 1987 to 1996, and included both adopters and nonadopters as well as farm results before and after adoption. Significant effects were estimated, making a differentiation between the different technologies.

Perceptions of French private veterinary practitioners’ on their role in organic dairy farms and opportunities to improve their advisory services for organic dairy farmers

DEFF Research Database (Denmark)

Duval, J E; Bareille, N; Fourichon, C

2016-01-01

are – from private veterinary practitioners’ point of views- i) to describe the roles of veterinarians today in organic dairy farmers’ animal health promotion strategies, ii) to identify factors related to organic farming which determine their role on organic dairy farms, and, iii) to identify opportunities...... for improvement of veterinarians’ advisory services for organic dairy herds. Fourteen veterinarians, providing herd health advisory services to dairy farmers, were interviewed using qualitative semi-structured research interviews. A modified approach to Grounded Theory was used for data collection and analysis...... veterinarians considered that there was no direct economic interest for them in the organic dairy sector and that could diminish their willingness to invest in this sector. Possible opportunities for improvement were identified; for example proposing more proactively advice via existing organisations, by making...

Forage-based dairying in a water-limited future: use of models to investigate farming system adaptation in southern Australia.

Science.gov (United States)

Chapman, D F; Dassanayake, K; Hill, J O; Cullen, B R; Lane, N

2012-07-01

The irrigated dairy industry in southern Australia has experienced significant restrictions in irrigation water allocations since 2005, consistent with climate change impact predictions for the region. Simulation models of pasture growth (DairyMod), crop yield (Agricultural Production Systems Simulator, APSIM), and dairy system management and production (UDDER) were used in combination to investigate a range of forage options that may be capable of sustaining dairy business profitability under restricted water-allocation scenarios in northern Victoria, Australia. A total of 23 scenarios were simulated and compared with a base farm system (100% of historical water allocations, grazed perennial ryegrass pasture with supplements; estimated operating surplus $A2,615/ha at a milk price of $A4.14/kg of milk solids). Nine simulations explored the response of the base farm to changes in stocking rate or the implementation of a double cropping rotation on 30% of farm area, or both. Five simulations explored the extreme scenario of dairying without any irrigation water. Two general responses to water restrictions were investigated in a further 9 simulations. Annual ryegrass grazed pasture, complemented by a double cropping rotation (maize grown in summer for silage, followed by either brassica forage crop and annual ryegrass for silage in winter and spring) on 30% of farm area, led to an estimated operating surplus of $A1746/ha at the same stocking rate as the base farm when calving was moved to autumn (instead of late winter, as in the base system). Estimated total irrigation water use was 2.7ML/ha compared with 5.4ML/ha for the base system. Summer-dormant perennial grass plus double cropping (30% of farm area) lifted operating surplus by a further $A100/ha if associated with autumn calving (estimated total irrigation water use 3.1ML/ha). Large shifts in the forage base of dairy farms could sustain profitability in the face of lower, and fluctuating, water allocations

Are large farms more efficient? Tenure security, farm size and farm efficiency: evidence from northeast China

Science.gov (United States)

Zhou, Yuepeng; Ma, Xianlei; Shi, Xiaoping

2017-04-01

How to increase production efficiency, guarantee grain security, and increase farmers' income using the limited farmland is a great challenge that China is facing. Although theory predicts that secure property rights and moderate scale management of farmland can increase land productivity, reduce farm-related costs, and raise farmer's income, empirical studies on the size and magnitude of these effects are scarce. A number of studies have examined the impacts of land tenure or farm size on productivity or efficiency, respectively. There are also a few studies linking farm size, land tenure and efficiency together. However, to our best knowledge, there are no studies considering tenure security and farm efficiency together for different farm scales in China. In addition, there is little study analyzing the profit frontier. In this study, we particularly focus on the impacts of land tenure security and farm size on farm profit efficiency, using farm level data collected from 23 villages, 811 households in Liaoning in 2015. 7 different farm scales have been identified to further represent small farms, median farms, moderate-scale farms, and large farms. Technical efficiency is analyzed with stochastic frontier production function. The profit efficiency is regressed on a set of explanatory variables which includes farm size dummies, land tenure security indexes, and household characteristics. We found that: 1) The technical efficiency scores for production efficiency (average score = 0.998) indicate that it is already very close to the production frontier, and thus there is little room to improve production efficiency. However, there is larger space to raise profit efficiency (average score = 0.768) by investing more on farm size expansion, seed, hired labor, pesticide, and irrigation. 2) Farms between 50-80 mu are most efficient from the viewpoint of profit efficiency. The so-called moderate-scale farms (100-150 mu) according to the governmental guideline show no

Evaluation of Brucella contamination in raw milk in Kerman dairy farms by PCR

Directory of Open Access Journals (Sweden)

Mohammad Khalili

2016-10-01

Full Text Available Background: Human brucellosis is a significant public health problem in many middle east countries including Iran. In endemic developing countries, dairy products produced from untreated milk are a potential threat to public health. The aim of this study was to detect brucellae in milk from dairy cattle farms in Kerman (Iran. Methods: Forthy and eight Bulk Tank Milk (BTM  were collected from 48 dairy cattle farm including 4200 cow. All milk samples were examined by PCR to detect Brucella-specific DNA. Results: Using IS711 primer were detected in 4 samples (8.3% Brucella spp from 48 BTM samples in this area.. Conclusions: The detection of Brucella DNA in milk for human consumption, especially the highly pathogenic species B. melitensis, is of obvious concern. The shedding of Brucella spp. in milk poses an increasing threat to consumers in Iran. Consumption of dairy products produced from non-pasteurized milk by individual farmers operating under poor hygienic conditions represents an unacceptable risk to public health.

Assessing the impact of changes in the electricity price structure on dairy farm energy costs

International Nuclear Information System (INIS)

Upton, J.; Murphy, M.; Shalloo, L.; Groot Koerkamp, P.W.G.; De Boer, I.J.M.

2015-01-01

Highlights: • Choosing electricity tariffs with a low off-peak rate results in financial savings. • Cost saving potential within an electricity tariff is the greatest on large farms. • Earlier AM milking with later PM milking helps reduce electricity consumption. - Abstract: This study aims to provide information on the changes in electricity consumption and costs on dairy farms, through the simulation of various electricity tariffs that may exist in the future and how these tariffs interact with changes in farm management (i.e. shifting the milking operation to an earlier or later time of the day). A previously developed model capable of simulating electricity consumption and costs on dairy farms (MECD) was used to simulate five different electricity tariffs (Flat, Day and Night, Time of Use Tariff 1 (TOU1), TOU2 and Real Time Pricing (RTP)) on three representative Irish dairy farms: a small farm (SF), a medium farm (MF) and a large farm (LF). The Flat tariff consisted of one electricity price for all time periods, the Day and Night tariff consisted of two electricity prices, a high rate from 09:00 to 00:00 h and a low rate thereafter. The TOU tariff structure was similar to that of the Day and Night tariff except that a peak price band was introduced between 17:00 and 19:00 h. The RTP tariff varied dynamically according to the electricity demand on the national grid. The model used in these simulations was a mechanistic mathematical representation of the electricity consumption that simulated farm equipment under the following headings; milk cooling system, water heating system, milking machine system, lighting systems, water pump systems and the winter housing facilities. The effect of milking start time was simulated to determine the effect on electricity consumption and costs at farm level. The earliest AM milking start time and the latest PM milking start time resulted in the lowest energy consumption. The difference between the lowest and highest

Labour organisation on robotic milking dairy farms

OpenAIRE

Sonck, B.R.

1996-01-01

1. Research issues

The research described in this dissertation is focused on the effects of the integration of the milking robot in a dairy farm on the labour organisation at operational and tactical level. Attention was paid to the future requirements concerning human labour and labour (re)organisation with respect to the complex interaction between the cows and an automatic milking system (AMS) on a robotic milking d...

Relating life cycle assessment indicators to gross value added for Dutch dairy farms

NARCIS (Netherlands)

Thomassen, M.A.; Dolman, M.A.; Calker, van K.J.; Boer, de I.J.M.

2009-01-01

Sustainable dairy production requires farms that are economically viable, environmentally sound and socially acceptable. A low environmental impact of milk production is not necessarily associated with an economically viable farm. To gain insight into a possible “trade-off” between economic and

Analysis of small-scale biogas utilization systems on Ontario cattle farms

International Nuclear Information System (INIS)

White, Andrew J.; Kirk, Donald W.; Graydon, John W.

2011-01-01

The production of biogas through the anaerobic digestion of cattle manure and its subsequent use in the generation of electricity on larger farms in Ontario is currently economically attractive. This is a result of the Ontario Feed-In Tariff (FIT) program, which provides incentivized rates for the production of electricity from biogas. Although larger farms can take advantage of the higher rates for electricity, there are substantially more smaller farms for which individually designed and engineered biogas systems would be prohibitively expensive. By employing the concept of modular biogas plants, this analysis evaluates the economics of small-scale biogas utilization systems. Dairy farms with at least 33 animals and beef farms with at least 78 animals can operate economically attractive biogas systems. This analysis shows that approximately 9000 additional Ontario cattle farms would be able to take advantage of the FIT program, which would add 120 MW e of renewable energy capacity to the Ontario electrical grid. (author)

The Technical Efficiency of Specialised Milk Farms: A Regional View

Directory of Open Access Journals (Sweden)

Jindřich Špička

2014-01-01

Full Text Available The aim of the article is to evaluate production efficiency and its determinants of specialised dairy farming among the EU regions. In the most of European regions, there is a relatively high significance of small specialised farms including dairy farms. The DEAVRS method (data envelopment analysis with variable returns to scale reveals efficient and inefficient regions including the scale efficiency. In the next step, the two-sample t-test determines differences of economic and structural indicators between efficient and inefficient regions. The research reveals that substitution of labour by capital/contract work explains the variability of the farm net value added per AWU (annual work unit income indicator by more than 30%. The significant economic determinants of production efficiency in specialised dairy farming are farm size, herd size, crop output per hectare, productivity of energy, and capital (at α=0.01. Specialised dairy farms in efficient regions have significantly higher farm net value added per AWU than inefficient regions. Agricultural enterprises in inefficient regions have a more extensive structure and produce more noncommodity output (public goods. Specialised dairy farms in efficient regions have a slightly higher milk yield, specific livestock costs of feed, bedding, and veterinary services per livestock unit.

Ammonia emission model for whole farm evaluation of dairy production systems.

Science.gov (United States)

Rotz, C Alan; Montes, Felipe; Hafner, Sasha D; Heber, Albert J; Grant, Richard H

2014-07-01

Ammonia (NH) emissions vary considerably among farms as influenced by climate and management. Because emission measurement is difficult and expensive, process-based models provide an alternative for estimating whole farm emissions. A model that simulates the processes of NH formation, speciation, aqueous-gas partitioning, and mass transfer was developed and incorporated in a whole farm simulation model (the Integrated Farm System Model). Farm sources included manure on the floor of the housing facility, manure in storage (if used), field-applied manure, and deposits on pasture (if grazing is used). In a comprehensive evaluation of the model, simulated daily, seasonal, and annual emissions compared well with data measured over 2 yr for five free stall barns and two manure storages on dairy farms in the eastern United States. In a further comparison with published data, simulated and measured barn emissions were similar over differing barn designs, protein feeding levels, and seasons of the year. Simulated emissions from manure storage were also highly correlated with published emission data across locations, seasons, and different storage covers. For field applied manure, the range in simulated annual emissions normally bounded reported mean values for different manure dry matter contents and application methods. Emissions from pastures measured in northern Europe across seasons and fertilization levels were also represented well by the model. After this evaluation, simulations of a representative dairy farm in Pennsylvania illustrated the effects of animal housing and manure management on whole farm emissions and their interactions with greenhouse gas emissions, nitrate leaching, production costs, and farm profitability. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Variation in nitrogen use efficiencies on Dutch dairy farms

NARCIS (Netherlands)

Daatselaar, Co Hg; Reijs, Joan R.; Oenema, Jouke; Doornewaard, Gerben J.; Aarts, Frans

2015-01-01

BACKGROUND: On dairy farms, the input of nutrients including nitrogen is higher than the output in products such as milk and meat. This causes losses of nitrogen to the environment. One of the indicators for the losses of nitrogen is the nitrogen use efficiency. In the Dutch Minerals Policy

Mastitis pathogens prevalent in dairy cattle at Magadu farm ...

African Journals Online (AJOL)

This study was carried out to determine the prevalence of mastitis pathogens at the Magadu Dairy Farm, Sokoine University of Agriculture. A total of 19 milk samples were collected and cultured on blood agar and MacConkey agar followed by identification of bacteria colonies and cells using standard laboratory techniques.

Investigations on dairy welfare and performance on German organic farms

OpenAIRE

Hoerning, Bernhard; Simantke, Christel; Aubel, Erhard

2005-01-01

An investigation was carried out on 74 organic dairy farms in Germany. Results were an average milk production of 5.960 kg, 223.000 somatic cell counts (SCC), 387 days calving interval, 23.5 % culling rate, 46 Euro annual veterinary costs per cow. Farmers were asked for disease incidences. Cows were scored for injuries and body condition. The results were combined with possible influencing factors (herd size, breed, region, farming association, housing system, housing factors, amounts of conc...

Organic and Low-Input Dairy Farming: Avenues to Enhance Sustainability and Competitiveness in the EU

OpenAIRE

Scollan, Nigel; Padel, Susanne; Halberg, Niels; Hermansen, J.E.; Nicholas, Pip; Rinne, Marketta; Zanoli, Raffaele; Zollitsch, Werner; Lauwers, Ludwig

2017-01-01

Whether farming strategies built on continuing input intensification or relying on integrated natural resource management are more sustainable and competitive is at the core of the agricultural development debate. The five-year (2011–16) Sustainable Organic and Low Input Dairying (SOLID) project, funded by the European Commission, involved 25 partners across 10 European countries and was designed to support innovation in European organic and low-input dairy farming. Results show that such sys...

Dairy cattle management, health and welfare in smallholder farms: An organic farming perspective

DEFF Research Database (Denmark)

Odhong, Charles; Wahome, Raphael; Vaarst, Mette

2015-01-01

livestock production practices as specified by the International Federation of Organic Agriculture Movements and the East Africa Organic Product Standard. A longitudinal study of 24 farms was conducted to document and assess management practices and their potential effect on animal health and welfare......Organic production principles aim at achieving good animal health and welfare of livestock. The objective of the present study was to investigate animal management, health and welfare in smallholder dairy farms in Kenya, Africa, and to be able to give recommendations which can guide organic...... type, aspects of the housing system, farm characteristics, and management routines. The average herd size was 3.15 in Kiambu and 3.91 in Kajiado, with all the cows’ zero-grazed. Seventy five percent of the cubicles were small (less than 2.50m2). Many of the farmers sprayed their animals weekly (47...

Cost structure and profitability of Assaf dairy sheep farms in Spain.

Science.gov (United States)

Milán, M J; Frendi, F; González-González, R; Caja, G

2014-01-01

Twenty dairy sheep farms of Assaf breed, located in the Spanish autonomous community of Castilla y León and included in a group receiving technical support, were used to study their production cost structure and to assess their economic profitability during 2009. On average, farms had 89.2±38.0 ha (own, 38%), 592±63 ewes, yielded 185.9±21.1×10(3) L/yr (i.e., 316±15 L/ewe), and were attended by 2.3±0.2 annual working units (family, 72%). Total annual income was €194.4±23.0×10(3)/yr (€1.0=$1.3) from milk (78.6%), lamb (13.2%), culled ewes (0.5%), and other sales (0.8%, wool and manure), and completed with the European Union sheep subsidy (6.9%). Total costs were €185.9±19.0×10(3)/yr to attend to feeding (61.6%), labor (18.2%), equipment maintenance and depreciation (7.6%), finances (3.0%), animal health (2.5%), energy, water and milking supplies (2.2%), milk recording (0.5%), and other costs (4.4%; assurances, shearing, association fees, and so on). Mean dairy sheep farm profit was €8.5±5.8×10(3)/yr (€7.4±8.3/ewe) on average, and varied between -€40.6 and €81.1/ewe among farms. Only 60% of farms were able to pay all costs, the rest had negative balances. Nevertheless, net margin was €31.0±6.5×10(3)/yr on average, varying between €0.6 and €108.4×10(3)/yr among farms. In this case, without including the opportunity costs, all farms had positive balances. Total annual cost (TAC; €/ewe) and total annual income (TAI; €/ewe) depended on milk yield (MY; L/ewe) and were TAC=161.6 + 0.502 MY (R(2)=0.50), and TAI=78.13 + 0.790 MY (R(2)=0.88), respectively, with the break-even point being 291 L/ewe. Conversely, farm TAC (€/yr) and farm TAI (€/yr) were also predicted as a function of the number of ewes (NOE) per flock, as TAC=18,401 + 282.8 NOE (R(2)=0.89) and TAI=330.9 NOE (R(2)=0.98), with the break-even point being 383 ewes/flock. Finally, according to the increasing trend expected for agricultural commodity prices, it was

Dairy farm production strategy and nitrogen surplus

OpenAIRE

Halberg, Niels; Jensen, Carsten Hvelplund

1996-01-01

Via public legislation minimum standards for the utilization of manure have been introduced as an obligatory part of fertilization planning. And many Danish livestock farmers have improved the utilization of manure during the last five to ten years. There is, however, still not consensus concerning the question of whether the results are sufficient to reduce the loss of nitrogen to ground water and the Danish marine environment to acceptable levels. In an analysis of 30 dairy farms Halberg...

Radionuclide cycling in a Utah dairy farm

International Nuclear Information System (INIS)

Thomas, J.M.; Eberhardt, L.L.; Hawthorne, H.A.; Zellmer, S.D.

1976-01-01

Both detailed and summarized data are presented for 137 Cs and for 90 Sr which resulted from a study of the deposition of fallout radionuclides into a Utah dairy farm. In addition, mathematical models and statistical methods (including nonlinear least-squares techniques) were used to obtain estimates of key parameters for a compartmental model of the dynamics of 137 Cs transfers in the dairy system. Both the results of laboratory studies and field observations were used to derive the estimates and to construct functional relationships for the model. Two computer models were used to further analyze and evaluate consistency of the fallout-alfalfa-milk sequence of data. The results of this study are compared with two similar investigations (in Colorado and Michigan) and are used to examine earlier analyses of the general system studied. Extensive data tabulations are also presented

Combining offshore wind energy and large-scale mussel farming: background & technical, ecological and economic considerations

NARCIS (Netherlands)

Lagerveld, S.; Rockmann, C.; Scholl, M.M.; Bartelings, H.; Burg, van den S.W.K.; Jak, R.G.; Jansen, H.M.; Klijnstra, J.; Leopold, M.F.; Poelman, M.; Smith, S.R.; Stavenuiter, J.; Veenstra, F.A.; Veltman, C.; Westra, C.

2014-01-01

This Blauwdruk project report presents background and technical, ecological and economic considerations of the potential combination of offshore wind energy production and large-scale mussel farming in offshore areas in the North Sea. The main objective of the Blauwdruk project was to study the

PRODUCTIVE IMPACT OF THE GREEN FORAGE SUPPLY USAGE AT THE DAIRY FARMS

Directory of Open Access Journals (Sweden)

LAVINIA MOISE

2007-05-01

Full Text Available This paper presents the importance of the crop structure as a tool to maximize efficiency in the conceiving of the green forage supply scheme in a dairy farm. Several apects are necessary to consider for proper green forage utilization by the cattle, as follows: climatic conditions, proper field operations for each crop, optimal harvest date, and farm technical and economical resources. With a high degree of succulence, green forage and derived products (silage, haylage, present addvantages as compared to hay, having superior indices of nutritive value and palatability. A green forage supply scheme was applied on an area of 188 ha taking into account dairy cattle biological traits. Crop structure was as follows: forage maize, Sudan grass, Italian ryegrass, new lucern and old lucerne, and orchardgrass. Insuring the required superior green forage for the dairy cattle according to forage rations, represents one of the main techniques to maximize milk production and to minimize milk production cost.

Near real-time large scale (sensor) data provisioning for PLF

NARCIS (Netherlands)

Vonder, M.R.; Waaij, B.D. van der; Harmsma, E.J.; Donker, G.

2015-01-01

Think big, start small. With that thought in mind, Smart Dairy Farming (SDF) developed a platform to make real-time sensor data from different farms available, for model developers to support dairy farmers in Precision Livestock Farming. The data has been made available via a standard interface on

Fluoride Concentration in Water, Cow Milk and Cow Urine from Smallholder Dairy Farms in Kiambu- Kenya

International Nuclear Information System (INIS)

Gikunju, J.K.; Maitho, T.E.; Kyule, M.N.; Mitema, E.S.; Mugera, G.M.

1999-01-01

Kiambu district is situated in central part of Kenya. most of the available land is suitable for agricultural use. majority of the farmers are small scale or subsistence farmers and they are involve in a variety of livestock activities e.g. dairy production, pig production and others in combination or as separate operations. excessive fluoride ingestion can cause specific dental and skeletal lesions and in severe cases adversely influence the health and productivity performance of domestic animals.therefore a study was designed to investigate the levels of flouride in urine, milk and water samples from small scale dairy farms in Kiambu. Water, cow urine and milk samples were collected in clean plastic containers from 84 small scale farms belonging to 6 dairy farmers co-operative societies (DFCs). The DFCs in this study were Kiambaa, Lari, Nderi, Kikuyu, Chania and Limuru. The fluoride concentration in water milk and urine were analysed using the potentiometric method of fluoride ion specific electrode. overall urine contained the highest fluoride concentration while milk contained the lowest fluoride levels. Fluoride levels in water, milk and urine were significantly different, (P>0.05). The mean fluoride concentration in water from all societies was 0.29 ppm while the mean fluoride concentration in milk 0.05 ppm. urine samples had the highest fluoride concentration, (1.5 ppm). The cooperative specific mean fluoride concentrations arranged in descending order were as follow: Nderi (2.8 ppm), Kikuyu (2.4 ppm), Kiambaa(1.9 ppm), Chania (1.6 ppm), Limuru (1.3 ppm) and Lari (1.0 ppm). The maximum fluoride concentration encountered in water in this study was 3.4 ppm, however adverse productivity has been reported in dairy animals consuming as low as 2.15 ppm in drinking water. The mean milk production in in kilograms per day per cow ranged from 2.5 to 6.9 when all six dairy co-operative societies were taken into consideration. this is far below the expected production

Dairy Herd Mastitis Program in Argentina: Farm Clusters and Effects on Bulk Milk Somatic Cell Counts

Directory of Open Access Journals (Sweden)

C Vissio1*, SA Dieser2, CG Raspanti2, JA Giraudo1, CI Bogni2, LM Odierno2 and AJ Larriestra1

2013-01-01

Full Text Available This research has been conducted to characterize dairy farm clusters according to mastitis control program practiced among small and medium dairy producer from Argentina, and also to evaluate the effect of such farm cluster patterns on bulk milk somatic cell count (BMSCC. Two samples of 51 (cross-sectional and 38 (longitudinal herds were selected to identify farm clusters and study the influence of management on monthly BMSCC, respectively. The cross-sectional sample involved the milking routine and facilities assessment of each herd visited. Hierarchical cluster analysis was used to find the most discriminating farm attributes in the cross sectional sample. Afterward, the herd cluster typologies were identified in the longitudinal sample. Herd monthly BMSCC average was evaluated during 12 months fitting a linear mixed model. Two clusters were identified, the farms in the Cluster I applied a comprehensive mastitis program in opposite to Cluster II. Post-dipping, dry cow therapy and milking machine test were routinely applied in Cluster I. In the longitudinal study, 14 out of 38 dairy herds were labeled as Cluster I and the rest were assigned to Cluster II. Significant difference in BMSCC was found between cluster I and II (60,000 cells/mL. The present study showed the relevance and potential impact of promoting mastitis control practices among small and medium sized dairy producers in Argentina.

Molecular characterization and antimicrobial susceptibility of Staphylococcus aureus from small-scale dairy systems in the highlands of Central México

OpenAIRE

Salgado-Ruiz, T. B.; Rodríguez González, Ana; Gutiérrez, Diana; Martínez Fernández, Beatriz; García Suárez, María Pilar; Arriaga-Jordán, C. M.

2015-01-01

Staphylococcus aureus is involved in human and animal infections. Because of mastitis in dairy cows, milk can be contaminated by enterotoxin-producing strains, which constitutes a food poisoning risk. Animal handlers can be asymptomatic carriers, becoming an additional source of contamination. This research aims to improve our understanding of Staphylococcus aureus in small-scale dairy systems in central Mexico. Samples were taken in 12 dairy farms and included composite milk (from the four t...

Prevalence of brucellosis in dairy cattle from the main dairy farming regions of Eritrea

Directory of Open Access Journals (Sweden)

Massimo Scacchia

2013-04-01

Full Text Available In order to get a reliable estimate of brucellosis prevalence in Eritrean dairy cattle, a cross-sectional study was carried out in 2009. The survey considered the sub-population of dairy cattle reared in modern small- and medium-sized farms. Samples were screened with the Rose Bengal test (RBT and positive cases were confirmed with the complement fixation test (CFT. A total of 2.77%(417/15 049; Credibility Interval CI: 2.52% – 3.05% of the animals tested in this study were positive for antibodies to Brucellaspecies, with a variable and generally low distribution of positive animals at regional level. The highest seroprevalence was found in the Maekel region (5.15%; CI: 4.58% – 5.80%, followed by the Debub (1.99%; CI: 1.59% – 2.50% and Gash-Barka (1.71%; CI: 1.34% – 2.20% regions. Seroprevalence at sub-regional levels was also generally low, except for two sub-regions of Debub and the sub-region Haicota from the Gash-Barka region. Seroprevalence was high and more uniformly distributed in the Maekel region, namely in the Asmara, Berik and Serejeka sub-regions. Considering the overall low brucellosis prevalence in the country, as identified by the present study, a brucellosis eradication programme for dairy farms using a test-and-slaughter policy would be possible. However, to encourage the voluntary participation of farmers to the programme and to raise their awareness of the risks related to the disease for animals and humans, an extensive public awareness campaign should be carefully considered, as well as strict and mandatory dairy movement control.

Influence of distance to urban markets on smallholder dairy farming systems in Kenya

NARCIS (Netherlands)

Migose, S.A.; Bebe, B.O.; Boer, de I.J.M.; Oosting, S.J.

2018-01-01

We studied influence of distance to urban markets on smallholder dairy farming system development. Farms were chosen from three locations that varied in distance to the urban market of Nakuru Town in the Kenyan highlands: urban location (UL, n = 10) at less than 15 km distance, mid-rural location

Short communication: Determination of Salmonella clustered regularly interspaced short palindromic repeats (CRISPR) diversity on dairy farms in Wisconsin and Minnesota.

Science.gov (United States)

Wehnes, C A; Rehberger, T G; Barrangou, R; Smith, A H

2014-10-01

Salmonella enterica ssp. enterica is a foodborne pathogen able to cause disease in both humans and animals. Diverse serovars of this pathogen exist, some of which are host specific, causing a range of clinical symptoms from asymptomatic infection through morbidity and mortality. According to a 2007 survey by the USDA National Animal Health Monitoring System, fecal shedding of Salmonella from healthy cows occurs on 39.7% of dairy farms in the United States. Certain serovars are frequently isolated from dairy farms and the majority of isolates from the National Animal Health Monitoring System study were represented by 5 serovars; however, genotypic diversity was not examined. The objective of this study was to determine the diversity of clustered regularly interspaced short palindromic repeats (CRISPR) loci in Salmonella collected from 8 dairy farms with a previous history of salmonellosis. None of the cows or calves sampled on 2 of the 8 dairy farms were shedding Salmonella, although Salmonella was detected in a cow bedding sample on 1 of these farms. Salmonella populations were discrete on each farm, according to CRISPR typing, with the exception of an Anatum var. 15+ type on farms 5 and 6 and the Montevideo type on farms 1 and 2. One to 4 distinct CRISPR genotypes were identified per farm. The CRISPR typing differed within serovars, as Montevideo, Anatum var. 15+, and Muenster serovars had no overlap of spacer content, even on the same farm, reflecting between- and within-serovar genetic diversity. The dynamic nature of Salmonella populations was shown in a farm that was sampled longitudinally over 13.5 mo. Changes in serovar from 3,19:-:z27 to Montevideo was observed between the first sampling time and 8 mo later, with concomitant change in CRISPR alleles. The results indicate that Salmonella strains present in smaller dairy herds (<500 head) are specific to that farm and new Salmonella strains may emerge over time. Copyright © 2014 American Dairy Science

Analysis of Utilization of Fecal Resources in Large-scale Livestock and Poultry Breeding in China

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XUAN Meng

2018-02-01

Full Text Available The purpose of this paper is to develop a systematic investigation for the serious problems of livestock and poultry breeding in China and the technical demand of promoting the utilization of manure. Based on the status quo of large-scale livestock and poultry farming in typical areas in China, the work had been done beared on statistics and analysis of the modes and proportions of utilization of manure resources. Such a statistical method had been applied to the country -identified large -scale farm, which the total amount of pollutants reduction was in accordance with the "12th Five-Year Plan" standards. The results showed that there were some differences in the modes of resource utilization due to livestock and poultry manure at different scales and types:(1 Hogs, dairy cattle and beef cattle in total accounted for more than 75% of the agricultural manure storage;(2 Laying hens and broiler chickens accounted for about 65% of the total production of the organic manure produced by fecal production. It is demonstrated that the major modes of resource utilization of dung and urine were related to the natural characteristics, agricultural production methods, farming scale and economic development level in the area. It was concluded that the unreasonable planning, lacking of cleansing during breeding, false selection of manure utilizing modes were the major problems in China忆s large-scale livestock and poultry fecal resources utilization.

Estimating Phosphorus Loss at the Whole-Farm Scale with User-Friendly Models

Science.gov (United States)

Vadas, P.; Powell, M.; Brink, G.; Busch, D.; Good, L.

2014-12-01

Phosphorus (P) loss from agricultural fields and delivery to surface waters persists as a water quality impairment issue. For dairy farms, P can be lost from cropland, pastures, barnyards, and open-air cattle lots; and all these sources must be evaluated to determine which ones are a priority for P loss remediation. We used interview surveys to document land use, cattle herd characteristics, and manure management for four grazing-based dairy farms in Wisconsin, USA. We then used the APLE and Snap-Plus models to estimate annual P loss from all areas on these farms and determine their relative contribution to whole-farm P loss. At the whole-farm level, average annual P loss (kg ha-1) from grazing-based dairy farms was low (0.6 to 1.8 kg ha-1), generally because a significant portion of land was in permanently vegetated pastures or hay and had low erosion. However, there were areas on the farms that represented sources of significant P loss. For cropland, the greatest P loss was from areas with exposed soil, typically for corn production, and especially on steeper sloping land. The farm areas with the greatest P loss had concentrated animal housing, including barnyards, and over-wintering and young-stock lots. These areas can represent from about 5% to almost 30% of total farm P loss, depending on lot management and P loss from other land uses. Our project builds on research to show that producer surveys can provide reliable management information to assess whole-farm P loss. It also shows that we can use models like RUSLE2, Snap-Plus, and APLE to rapidly, reliably, and quantitatively estimate P loss in runoff from all areas on a dairy farm and identify areas in greatest need of alternative management to reduce P loss.

DAIRY FARM PLANNING FOR THE RECEIPE OF EU RULES ON THE HYGIENE OF FODDSTUFFS

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G. Brajon

2008-09-01

Full Text Available A shift promoted by Regione Toscana have arranged productive dairy farm guidelines for the application of Reg. CE 852/2004. The document defines risk assessment management and obligation. For guidelines drafting we used: dairy production system flowchart, chemical, physical, microbiological risk, and check list. Milk dairy production was divided into four stages: animal health and welfare, nutrition and watering regime, environment, milking hygiene and milk storage.

Impact of preparing for OSHA local emphasis program inspections of New York dairy farms: Case studies and financial cost analysis.

Science.gov (United States)

Gadomski, Anne M; Vargha, Marybeth; Tallman, Nancy; Scribani, Melissa B; Kelsey, Timothy W

2016-03-01

OSHA inspection of dairy farms began in July 1, 2014 in New York State. As of September 2014, a total of eight farms were randomly selected for inspection. This case study addresses how dairy farm managers prepared for these inspections, and identifies farm level costs preparing for inspection and/or being inspected. Four farms that were OSHA inspected and 12 farms that were not inspected were included in this mixed method evaluation using a multimodal (telephone, email, or mail) survey. Descriptive analysis was carried out using frequencies, proportions, means, and medians. Overall, the impact of OSHA inspections was positive, leading to improved safety management and physical changes on the farm and worker trainings, although the farmers' perspectives about OSHA inspection were mixed. The cost of compliance was low relative to estimated overall production costs. Clarifications and engineering solutions for specific dairy farm hazard exposures are needed to facilitate compliance with OSHA regulations. © 2015 Wiley Periodicals, Inc.

DYNAMICS OF OPTIMAL INTERACTIONS BETWEEN PASTURE PRODUCTION AND MILK YIELDS OF AUSTRALIAN DAIRY FARMS

OpenAIRE

Tozer, Peter R.; Huffaker, Ray G.

1998-01-01

Deregulation of the Australian dairy industry could effect the utilization of resources by milk producers. In this study we examine the feed input mix dairy producers use, both pastures and supplements, prior to and after deregulation. We are particularly interested in the interaction of pasture utilization and farm profitability.

Methods for assessing phosphorus overfeeding on organic and conventional dairy farms.

Science.gov (United States)

Nordqvist, M; Holtenius, K; Spörndly, R

2014-02-01

Phosphorus (P) losses from dairy farms can severely damage aquatic ecosystems, so it is important to have tools to assess overfeeding of P. This study screened P intake and faecal excretion of different P fractions in dairy cows on conventional and organic farms, compared the P feeding level of the herds against the recommendations and analysed different sampling and analysis methods for assessing the general status of P feeding on the farms. The organic (n=14) and conventional farms (n=15) were of comparable size and were located in southern Sweden. On each farm, feed intake was registered for 10 cows representing four different lactation stages and their P intake was calculated and related to current recommendations. Faecal samples taken from the same cows were analysed for total P (TP) and soluble P. Milk production data for the cows were obtained from the Swedish official milk recording scheme. TP was determined in one slurry sample per farm. More than 70% of the cows studied, representing both conventional and organic herds, consumed P in excess of the recommendations. Conventional herds had higher P content in the ration than organic herds, and lactating cows in conventional herds had higher faecal concentrations of total and soluble P than those in organic herds. However in dry cows, the P content of the ration and soluble P and TP in faeces did not differ between the two management systems. Soluble P was well correlated to TP in faeces, and both were good indicators of P overfeeding.

A survey of dairy calf management practices among farms using manual and automated milk feeding systems in Canada.

Science.gov (United States)

Medrano-Galarza, Catalina; LeBlanc, Stephen J; DeVries, Trevor J; Jones-Bitton, Andria; Rushen, Jeffrey; Marie de Passillé, Anne; Haley, Derek B

2017-08-01

Dairy calves in North America traditionally are housed individually and fed by manual milk feeding (MMF) systems with buckets or bottles. Automated milk feeders (AMF) allow for more natural milk feeding frequencies and volumes, and calves are usually housed in groups. The objectives of this study were to (1) determine the prevalence of various milk-fed calf management and feeding practices and (2) compare these practices between dairy farms using MMF and AMF systems. A national online survey was performed from January to May 2015 to quantify management practices for the care of milk-fed dairy calves in Canada. A total of 670 responses were received (6% of all dairy farms in Canada). Among respondents, 16% used AMF and 84% used MMF. Seventy percent of the farms using AMF had freestall barns compared with only 48% of those using MMF. A greater proportion of AMF farms (30%) also had automatic milking systems (AMS) compared with MMF farms (8%). Among tiestall farms, a herd size of >80 milking cows was associated with having an AMF [odds ratio (OR) = 3.8; 95% confidence interval (CI): 1.6-11.4]. For freestall or bedded-pack farms, a herd size of >80 milking cows (OR = 3.5; CI: 1.8-6.6), having an AMS (OR = 3.1; CI: 1.6-5.7), and use of cow brushes (OR = 3.1; CI: 1.3-6.9) were associated with having an AMF. Calves fed with AMS typically were housed in groups of 10 to 15, whereas almost 76% of the farms with MMF housed calves individually. Although both AMF and MMF farms fed similar amounts of milk in the first week of life (median = 6 L/d), the cumulative volume fed in the first 4 wk differed significantly, with a median of 231 versus 182 L for AMF and MMF, respectively. Median peak milk allowance was higher for AMF than for MMF (10 vs. 8 L/d, respectively). In summary, farms using AMF were larger, provided more milk to calves, and used more automation in general (i.e., in other areas of their operation). These data provide insights into calf-rearing practices across

Milk quality and financial management at different scales of production on dairy farms located in the south of Minas Gerais state, Brazil

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Marcel Gomes Paixão

Full Text Available ABSTRACT The objective of this study was to analyze the relationship between aspects related to financial management and scale of production with quality traits (total bacteria count - TBC; somatic cell count - SCC and composition (protein, fat, lactose, total solids, and non-fat solids of refrigerated bulk tank milk from 100 dairy farmers located in the south of Minas Gerais state, Brazil, by application of a semi-structured questionnaire. Dairy farmers were categorized according to the daily milk production: small (lower than 150 L; medium (151 to 500 L; and large (higher than 501 L. Chi-square tests and identification of possible relative risks between financial aspects and current regulation standards (Normative Instruction No. 62 of December 29, 2011, Ministry of Agriculture, Livestock and Supply associated to TBC (higher 300,000 CFU/mL and SCC (higher than 500,000 cells/mL means from bulk tank milk among different milk scales productions were performed. Bulk tanks milk composition met the legislation standards and had not differ between scales of production; however, SCC means within all scales, and TBC of small farmers had not attended the legislation standards and differences were identified (P ≤ 0.05. Regarding the financial management aspects, most farmers had no control over incomes, costs, nor calculated milk production cost, with decreased incidences as scale of production increased. Chi-square tests identified that producers that had no concern about milk quality payment bonuses had TBC means 2.95 times more likely (P ≤ 0.05 to be above the current regulations. Small dairy farmers had a greater negligence of the costs management and hygienic milk production as compared to medium and large farmers.

Economic and financial viability of small-scale dairy systems in central Mexico: economic scenario 2010-2018.

Science.gov (United States)

Posadas-Domínguez, R R; Callejas-Juárez, N; Arriaga-Jordán, C M; Martínez-Castañeda, F E

2016-12-01

A simulation Monte Carlo model was used to assess the economic and financial viability of 130 small-scale dairy farms in central Mexico, through a Representative Small-Scale Dairy Farm. Net yields were calculated for a 9-year planning horizon by means of simulated values for the distribution of input and product prices taking 2010 as base year and considering four scenarios which were compared against the scenario of actual production. The other scenarios were (1) total hiring in of needed labour; (2) external purchase of 100 % of inputs and (3) withdrawal of subsidies to production. A stochastic modelling approach was followed to determine the scenario with the highest economic and financial viability. Results show a viable economic and financial situation for the real production scenario, as well as the scenarios for total hiring of labour and of withdrawal of subsidies, but the scenario when 100 % of feed inputs for the herd are bought-in was not viable.

Experimental study of the impact of large-scale wind farms on land–atmosphere exchanges

International Nuclear Information System (INIS)

Zhang Wei; Markfort, Corey D; Porté-Agel, Fernando

2013-01-01

Large-scale wind farms, covering a significant portion of the land and ocean surface, may affect the transport of momentum, heat, mass and moisture between the atmosphere and the land locally and globally. To understand the wind-farm–atmosphere interaction, we conducted wind-tunnel experiments to study the surface scalar (heat) flux using model wind farms, consisting of more than ten rows of wind turbines—having typical streamwise and spanwise spacings of five and four rotor diameters—in a neutral boundary layer with a heated surface. The spatial distribution of the surface heat flux was mapped with an array of surface heat flux sensors within the quasi-developed regime of the wind-farm flow. Although the overall surface heat flux change produced by the wind farms was found to be small, with a net reduction of 4% for a staggered wind farm and nearly zero change for an aligned wind farm, the highly heterogeneous spatial distribution of the surface heat flux, dependent on the wind-farm layout, was significant. The difference between the minimum and maximum surface heat fluxes could be up to 12% and 7% in aligned and staggered wind farms, respectively. This finding is important for planning intensive agriculture practice and optimizing farm land use strategy regarding wind energy project development. The well-controlled wind-tunnel experiments presented in this study also provide a first comprehensive dataset on turbulent flow and scalar transport in wind farms, which can be further used to develop and validate new parameterizations of surface scalar fluxes in numerical models. (letter)

Perceived environmental uncertainty in Dutch dairy farming: The effect of external farm context on strategic choice

NARCIS (Netherlands)

Ondersteijn, C.J.M.; Giesen, G.W.J.; Huirne, R.B.M.

2006-01-01

This paper explores the way in which dairy farmers perceive their environment (PE), i.e., the external context of their farm, and the uncertainty (PEU) this poses to them. The environment is defined using the STEP concept (society, technology, economy and politics) and Porter¿s five forces model.

Status of bovine tuberculosis in Addis Ababa dairy farms.

Science.gov (United States)

Elias, K; Hussein, D; Asseged, B; Wondwossen, T; Gebeyehu, M

2008-12-01

The study was conducted to determine the status of bovine tuberculosis in Addis Ababa, Ethiopia, by a comparative intradermal tuberculin test of 1,869 animals in 106 farms. Epidemiological information was also collected, taking into account factors chosen for their epidemiological significance and local livestock husbandry characteristics. In addition, milk samples were collected from tuberculin reactors for mycobacterial isolation and characterisation. Chi-square statistic, simple regression and multiple stepwise logistic regression were used to analyse the data. Of the 106 farms examined, 46 (95% confidence interval [CI]: 33.8% to 53.4%) contained comparative skin test reactors. Of the 1,869 animals, 443 (95% CI: 21.8% to 25.7%) were comparative skin test reactors. Furthermore, about 8.5% of tuberculin sensitive cows (12 of a sample of 141) secreted acid-fast bacteria in their milk. The microbes are described in more detail in the paper. Factors identified as possibly increasing the risk of bovine tuberculosis in Addis Ababa were herd size (large herd), farming (housing) condition (poor), and age (older animals). Similarly, as body condition scores improved from poor to medium and then to good, the likelihood of positive results significantly decreased (OR = 0.54; p < 0.01). Other factors including breed, sex, and physiological status of animals did not seem to significantly contribute to tuberculin sensitivity. The finding that large-size and intensively (often poorly) managed herds were at greater risk of bovine tuberculosis suggests that the significance of bovine tuberculosis is increasing in Addis Ababa parallel to an increasing dairy operation. If measures are not taken promptly, the impact on the economy and public health could be enormous.

Assessment of herd management on organic and conventional dairy farms in the United States.

Science.gov (United States)

Stiglbauer, K E; Cicconi-Hogan, K M; Richert, R; Schukken, Y H; Ruegg, P L; Gamroth, M

2013-02-01

The objective of this study was to evaluate management characteristics on organic and similarly sized conventional dairy farms located in New York, Wisconsin, and Oregon. Data from 192 organic farms (ORG), 64 conventional nongrazing farms (CON-NG), and 36 conventional grazing farms (CON-GR) were collected during farm visits and were size-matched and analyzed. The average lactation number of animals on ORG and CON-GR farms was 2.6 lactations, which was greater than that on CON-NG farms (2.3 lactations). A greater percentage of first-lactation heifers were found on conventional farms than on ORG farms. Facilities used by adult animals, including housing and milking facilities, did not differ among the grazing systems. Cattle on conventional farms were fed approximately twice as much grain as cattle on ORG farms and had greater milk production. Little difference was found for the average reported somatic cell count and standard plate count, suggesting that milk quality is not dependent on grazing system. Milking procedures were similar across all 3 grazing systems, indicating that an industry standard now exists for milking and that milk quality problems will need to be addressed with other management problems in mind. Although some disease prevention measures were commonly utilized on ORG farms, such as keeping a closed herd and having a written record of treatments administered to the animals, the use of outside support and vaccinations were found to be less prevalent on organic farms than on conventional farms. Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Cost-effectiveness of feeding strategies to reduce greenhouse gas emissions from dairy farming

NARCIS (Netherlands)

Middelaar, van C.E.; Dijkstra, J.; Berentsen, P.B.M.; Boer, de I.J.M.

2014-01-01

The objective of this paper was to evaluate the cost-effectiveness of 3 feeding strategies to reduce enteric CH4 production in dairy cows by calculating the effect on labor income at the farm level and on greenhouse gas (GHG) emissions at the chain level (i.e., from production of farm inputs to the

Parameters affecting the environmental impact of a range of dairy farming systems in Denmark, Germany and Italy

DEFF Research Database (Denmark)

Guerci, Matteo; Knudsen, Marie Trydeman; Bava, L.

2013-01-01

The environmental impact of 12 dairy farms in Denmark, Germany and Italy was evaluated using an LCA approach and the most important parameters influencing their environmental sustainability were identified. The farms represent different production methods (organic vs. conventional), summer feeding...... intensive Italian farming system with very similar environmental impact values. However, a sensitivity analysis showed that when emissions relating to direct land use change of soybean production were included in the assessment, the GWP changed considerably for the conventional farms due to the inclusion...... of conventional soymeal in the feed concentrate. There were strong and positive correlations between the four impact categories, and overall the results indicate that improving greenhouse gas emissions would improve the general environmental sustainability of the dairy farm. The land occupation was lowest...

The Potential Role of Direct and Indirect Contacts on Infection Spread in Dairy Farm Networks.

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Gianluigi Rossi

2017-01-01

Full Text Available Animals' exchanges are considered the most effective route of between-farm infectious disease transmission. However, despite being often overlooked, the infection spread due to contaminated equipment, vehicles, or personnel proved to be important for several livestock epidemics. This study investigated the role of indirect contacts in a potential infection spread in the dairy farm network of the Province of Parma (Northern Italy. We built between-farm contact networks using data on cattle exchange (direct contacts, and on-farm visits by veterinarians (indirect contacts. We compared the features of the contact structures by using measures on static and temporal networks. We assessed the disease spreading potential of the direct and indirect network structures in the farm system by using data on the infection state of farms by paratuberculosis. Direct and indirect networks showed non-trivial differences with respect to connectivity, contact distribution, and super-spreaders identification. Furthermore, our analyses on paratuberculosis data suggested that the contributions of direct and indirect contacts on diseases spread are apparent at different spatial scales. Our results highlighted the potential role of indirect contacts in between-farm disease spread and underlined the need for a deeper understanding of these contacts to develop better strategies for prevention of livestock epidemics.

Invited review: Animal-based indicators for on-farm welfare assessment for dairy goats.

Science.gov (United States)

Battini, M; Vieira, A; Barbieri, S; Ajuda, I; Stilwell, G; Mattiello, S

2014-11-01

This paper reviews animal-based welfare indicators to develop a valid, reliable, and feasible on-farm welfare assessment protocol for dairy goats. The indicators were considered in the light of the 4 accepted principles (good feeding, good housing, good health, appropriate behavior) subdivided into 12 criteria developed by the European Welfare Quality program. We will only examine the practical indicators to be used on-farm, excluding those requiring the use of specific instruments or laboratory analysis and those that are recorded at the slaughterhouse. Body condition score, hair coat condition, and queuing at the feed barrier or at the drinker seem the most promising indicators for the assessment of the "good feeding" principle. As to "good housing," some indicators were considered promising for assessing "comfort around resting" (e.g., resting in contact with a wall) or "thermal comfort" (e.g., panting score for the detection of heat stress and shivering score for the detection of cold stress). Several indicators related to "good health," such as lameness, claw overgrowth, presence of external abscesses, and hair coat condition, were identified. As to the "appropriate behavior" principle, different criteria have been identified: agonistic behavior is largely used as the "expression of social behavior" criterion, but it is often not feasible for on-farm assessment. Latency to first contact and the avoidance distance test can be used as criteria for assessing the quality of the human-animal relationship. Qualitative behavior assessment seems to be a promising indicator for addressing the "positive emotional state" criterion. Promising indicators were identified for most of the considered criteria; however, no valid indicator has been identified for "expression of other behaviors." Interobserver reliability has rarely been assessed and warrants further attention; in contrast, short-term intraobserver reliability is frequently assessed and some studies consider mid

Prevalence and viability of group A rotavirus in dairy farm water sources.

Science.gov (United States)

Castells, M; Schild, C; Caffarena, D; Bok, M; Giannitti, F; Armendano, J; Riet-Correa, F; Victoria, M; Parreño, V; Colina, R

2018-03-01

To analyse group A rotavirus (RVA) environmental contamination in waters used for calves' consumption and to assess viral viability in dairy farm water sources. We analysed 202 samples of water used for calves' consumption and RVA was detected by RT-qPCR in 35·1% (95% CI: 28·9-42·0%). A marked pattern of seasonality was observed with higher frequency of detection in colder than warmer months (P = 0·002). There was no association between viral load and season or between the number of milking cows in the herd and the detection of RVA in the farm. The viability of the RVA particles detected was confirmed by isolation of RVA in cell culture from 5 of 10 water samples. Furthermore, an RVA waterborne outbreak of neonatal calf diarrhoea was described. We demonstrate that RVA is frequent in dairy farm waters, and that the virus is infectious and capable of generating a diarrhoea outbreak. Neonatal diarrhoea syndrome leads to economic losses to the livestock industry worldwide. To determine transmission routes is essential to take action in this regard and reduce the impact that this syndrome has for the livestock production. The results obtained in this work alert the dairy industry and highlight that mitigation strategies are crucial to improve the microbiological quality of this water. © 2018 The Society for Applied Microbiology.

Variation in carbon footprint of milk due to management differences between Swedish dairy farms

DEFF Research Database (Denmark)

Henriksson, Maria; Flysjö, Anna Maria; Cederberg, Christel

2011-01-01

To identify mitigation options to reduce greenhouse gas (GHG) emissions from milk production (i.e. the carbon footprint (CF) of milk), this study examined the variation in GHG emissions among dairy farms using data from previous CF studies on Swedish milk. Variations between farms in these produc...

Integrated Farm System Model Version 4.3 and Dairy Gas Emissions Model Version 3.3 Software development and distribution

Science.gov (United States)

Modeling routines of the Integrated Farm System Model (IFSM version 4.2) and Dairy Gas Emission Model (DairyGEM version 3.2), two whole-farm simulation models developed and maintained by USDA-ARS, were revised with new components for: (1) simulation of ammonia (NH3) and greenhouse gas emissions gene...

Cystic echinococcosis in cattle dairy farms: spatial distribution and epidemiological dynamics.

Science.gov (United States)

Scala, Antonio; Bosco, Antonio; Pipia, Anna Paola; Tamponi, Claudia; Musella, Vincenzo; Costanzo, Nicola; Testoni, Francesco; Montisci, Antonio; Mocci, Giovanni; Longhi, Alessandro; Tilocca, Laura; Rinaldi, Laura; Cringoli, Giuseppe; Varcasia, Antonio

2017-05-29

A study monitoring cystic echinococcosis (CE) in adult dairy cattle from intensive livestock farms located in the municipality of Arborea (Sardinia, Italy) was carried out between 2012 and 2015. A retrospective study of veterinary reporting forms of post-mortem inspections in 10 different Italian slaughterhouses was also performed. In addition, data on viability and molecular characterisation of hydatid cysts removed from parasitised organs in cattle was carried out. A geographical information system (GIS) with data layers of the study area and the geo-referenced points of 160 cattle farms was constructed. CE was found in 21.9% (35/160) of the surveyed farms. The retrospective study revealed that 0.05% (13/23,656) of adult slaughtered animals (over one year of age) from Arborea had tested positive to CE. The results stratified per year showed the following CE prevalences: 0.09% (5/5673) in 2012; 0.02% (1/5682) in 2013; 0.08% (5/6261) in 2014; and 0.03% (2/6040) in 2015 (χ2 with 3 degrees of freedom=3.81; P=0.282). The E. granulosus sensu stricto (formerly called G1 or sheep strain) was detected in all cysts subjected to molecular analysis. The GIS analysis showed that CE is fairly resilient in the Arborea territory where most of cattle farms are located, while a small cluster of cases was found located in the southeastern part of Arborea, close to districts where sheep farms are situated. The present survey reports the presence of CE in Sardinian dairy cattle intensive farms and suggests that the parasitic pressure of CE in the island continues to be very strong.

New Zealand Dairy Farming: Milking Our Environment for All Its Worth

Science.gov (United States)

Foote, Kyleisha J.; Joy, Michael K.; Death, Russell G.

2015-09-01

Over the past two decades there have been major increases in dairy production in New Zealand. This increase in intensity has required increased use of external inputs, in particular fertilizer, feed, and water. Intensified dairy farming thus incurs considerable environmental externalities: impacts that are not paid for directly by the dairy farmer. These externalities are left for the wider New Zealand populace to deal with, both economically and environmentally. This is counter-intuitive given the dairy industry itself relies on a `clean green' image to maximize returns. This is the first nationwide assessment of some of the environmental costs of the recent increase of dairy intensification in New Zealand. Significant costs arise from nitrate contamination of drinking water, nutrient pollution to lakes, soil compaction, and greenhouse gas emissions. At the higher end, the estimated cost of some environmental externalities surpasses the 2012 dairy export revenue of NZ11.6 billion and almost reaches the combined export revenue and dairy's contribution to Gross Domestic Product in 2010 of NZ5 billion. For the dairy industry to accurately report on its profitability and maintain its sustainable marketing label, these external costs should be reported. This assessment is in fact extremely conservative as many impacts have not been valued, thus, the total negative external impact of intensified dairying is probably grossly underestimated.

Management practices and milk production in dairy donkey farms distributed over the Italian territory

Directory of Open Access Journals (Sweden)

Francesca Dai

2017-10-01

Full Text Available Limited information is available about the actual management characteristics of dairy donkeys in Southern Europe. The aim of the present study is to describe animal management of dairy donkey farms in Italy. Twelve farmers were asked to answer a questionnaire on the management of their animals and their farms distributed over the Italian territory. Six farms grouped their animals in paddocks according to the production characteristics (e.g. lactating, dry, stallions; three farms housed the stallions in single boxes. Most of the visited farms were family run and the number of animals cared for by a single person varied from five to 103 animals. All the farms but one performed mechanical milking with a modified goat milkmaid.Vaccinations were regularly performed only on two farms. All the foals received colostrum and suckled from their own mothers. Foals were nursed by their mother until 6-12 months old. During the separation period before milking, foals were usually (83% housed in paddocks near their mothers with the possibility of visual and/or tactile contact, however such separations could be for up to 12 hours (17%. Even though the assessed sample was small, considerable differences were seen between farms, likely due to lack of uniform information available for the farmers. The adoption of scientific based procedures is suggested in order to improve both animal welfare and milk quality.

Production and milk marketing strategies of small-scale dairy farmers in the South of Rio Grande do Sul, Brazil

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Aline dos Santos Neutzling

2017-12-01

Full Text Available Milk production is a socio-economically relevant activity for many small-scale family farms in southern Brazil. The objective of this study was to analyse their production and marketing strategies. A questionnaire was administered to 199 farm households in Rio Grande do Sul State to collect information on farm assets and activities, and particularly on the contribution of milk sale to farm income. Through categorical principal component analysis and two-step clustering, farmers were classified into three types: farmers selling only milk (M; farmers selling cash crops and milk (CM; farmers selling cash crops and surplus milk (Cm. Cattle herd (heads and size of pasture land were larger on M farms (114 ±71.9; 51 ±49.4 ha than on CM (31 ±13.4; 9 ±8.9 ha and Cm (12 ±7.5; 5 ±8.1 ha farms. Livestock husbandry contributed 71, 59 and 16 % to family income on M, CM and Cm farms, respectively. Daily milk production of the individual cow depended on the area cultivated with fodder maize (ha per cow; p ≤ 0.001, on sale of milk to cooperatives or to private companies (p ≤ 0.01, on summer pasture area (ha per cow; p = 0.001 and on daily amount of concentrates offered (kg per cow; p ≤ 0.01. These results indicate that the area available for fodder cultivation is a key factor for milk production on small-scale dairy farms in southern Brazil, while concentrate feeding plays a less important role even for highly market-oriented farms. This must be accounted for when exploring options for strengthening the regional small-scale milk production, in which dairy cooperatives do play an important role.

ECONOMIC IMPACT OF CALF MORTALITY ON DAIRY FARMS IN KUWAIT

Directory of Open Access Journals (Sweden)

M. A. RAZZAQUE, M. BEDAIR, S. ABBAS AND T. AL-MUTAWA

2009-07-01

Full Text Available Objective of this study was to investigate the economic impact of mortality of pre-weaned calves on dairy cattle enterprise in Kuwait. Cost/benefit analysis model was applied to two different situations: in the first situation, a baseline scenario, field survey data without intervention using 1,280 newborn calves was used in first calving season. In the second situation, the intervention scenario (improved management, 665 newborn calves were used in second calving season during the following year. Calving seasons extended for 7 months from September to March. Calf performance studies were conducted from birth to weaning. Economic model was constructed on Microsoft Excel and used to evaluate the impact of calf mortality on calf enterprise. Results showed that gross margins increased from 13 to 35% as a result of implementation of intervention measures during the second calving season over baseline scenario. A significant correlation between increased veterinary expenses and an increase in revenues (r2 = 0.65, P<0.05 was observed. If the intervention measures such as colostrum feeding, nutrition and hygiene had not been implemented, the farms would have lose income from 12 to 51% of the gross revenues. Net income was influenced by costs of feeds, veterinary services and laborers. Discounted cash flow studies on a whole farm basis revealed that the impact of interventions was small (0-3%. Calf mortality could not be isolated from whole farm for assessing its impact on dairy farm economics. Economic studies demonstrated the cost/benefits of using the improved techniques of calf rearing.

A stochastic frontier approach to study the relationship between gastrointestinal nematode infections and technical efficiency of dairy farms.

Science.gov (United States)

van der Voort, Mariska; Van Meensel, Jef; Lauwers, Ludwig; Vercruysse, Jozef; Van Huylenbroeck, Guido; Charlier, Johannes

2014-01-01

The impact of gastrointestinal (GI) nematode infections in dairy farming has traditionally been assessed using partial productivity indicators. But such approaches ignore the impact of infection on the performance of the whole farm. In this study, efficiency analysis was used to study the association of the GI nematode Ostertagia ostertagi on the technical efficiency of dairy farms. Five years of accountancy data were linked to GI nematode infection data gained from a longitudinal parasitic monitoring campaign. The level of exposure to GI nematodes was based on bulk-tank milk ELISA tests, which measure the antibodies to O. ostertagi and was expressed as an optical density ratio (ODR). Two unbalanced data panels were created for the period 2006 to 2010. The first data panel contained 198 observations from the Belgian Farm Accountancy Data Network (Brussels, Belgium) and the second contained 622 observations from the Boerenbond Flemish farmers' union (Leuven, Belgium) accountancy system (Tiber Farm Accounting System). We used the stochastic frontier analysis approach and defined inefficiency effect models specified with the Cobb-Douglas and transcendental logarithmic (Translog) functional form. To assess the efficiency scores, milk production was considered as the main output variable. Six input variables were used: concentrates, roughage, pasture, number of dairy cows, animal health costs, and labor. The ODR of each individual farm served as an explanatory variable of inefficiency. An increase in the level of exposure to GI nematodes was associated with a decrease in technical efficiency. Exposure to GI nematodes constrains the productivity of pasture, health, and labor but does not cause inefficiency in the use of concentrates, roughage, and dairy cows. Lowering the level of infection in the interquartile range (0.271 ODR) was associated with an average milk production increase of 27, 19, and 9L/cow per year for Farm Accountancy Data Network farms and 63, 49, and

Using a whole farm model to determine the impacts of mating management on the profitability of pasture-based dairy farms.

Science.gov (United States)

Beukes, P C; Burke, C R; Levy, G; Tiddy, R M

2010-08-01

An approach to assessing likely impacts of altering reproductive performance on productivity and profitability in pasture-based dairy farms is described. The basis is the development of a whole farm model (WFM) that simulates the entire farm system and holistically links multiple physical performance factors to profitability. The WFM consists of a framework that links a mechanistic cow model, a pasture model, a crop model, management policies and climate. It simulates individual cows and paddocks, and runs on a day time-step. The WFM was upgraded to include reproductive modeling capability using reference tables and empirical equations describing published relationships between cow factors, physiology and mating management. It predicts reproductive status at any time point for individual cows within a modeled herd. The performance of six commercial pasture-based dairy farms was simulated for the period of 12 months beginning 1 June 2005 (05/06 year) to evaluate the accuracy of the model by comparison with actual outcomes. The model predicted most key performance indicators within an acceptable range of error (residualprofitability of changes in farm "set-up" (farm conditions at the start of the farming year on 1 June) and mating management from 05/06 to 06/07 year. Among the six farms simulated, the 4-week calving rate emerged as an important set-up factor influencing profitability, while reproductive performance during natural bull mating was identified as an area with the greatest opportunity for improvement. The WFM presents utility to explore alternative management strategies to predict likely outcomes to proposed changes to a pasture-based farm system. Copyright (c) 2010 Elsevier B.V. All rights reserved.

Feeding strategies and manure management for cost-effective mitigation of greenhouse gas emissions from dairy farms in Wisconsin.

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Dutreuil, M; Wattiaux, M; Hardie, C A; Cabrera, V E

2014-09-01

Greenhouse gas (GHG) emissions from dairy farms are a major concern. Our objectives were to assess the effect of mitigation strategies on GHG emissions and net return to management on 3 distinct farm production systems of Wisconsin. A survey was conducted on 27 conventional farms, 30 grazing farms, and 69 organic farms. The data collected were used to characterize 3 feeding systems scaled to the average farm (85 cows and 127ha). The Integrated Farm System Model was used to simulate the economic and environmental impacts of altering feeding and manure management in those 3 farms. Results showed that incorporation of grazing practices for lactating cows in the conventional farm led to a 27.6% decrease in total GHG emissions [-0.16kg of CO2 equivalents (CO2eq)/kg of energy corrected milk (ECM)] and a 29.3% increase in net return to management (+$7,005/yr) when milk production was assumed constant. For the grazing and organic farms, decreasing the forage-to-concentrate ratio in the diet decreased GHG emissions when milk production was increased by 5 or 10%. The 5% increase in milk production was not sufficient to maintain the net return; however, the 10% increase in milk production increased net return in the organic farm but not on the grazing farm. A 13.7% decrease in GHG emissions (-0.08kg of CO2eq/kg of ECM) was observed on the conventional farm when incorporating manure the day of application and adding a 12-mo covered storage unit. However, those same changes led to a 6.1% (+0.04kg of CO2eq/kg of ECM) and a 6.9% (+0.06kg of CO2eq/kg of ECM) increase in GHG emissions in the grazing and the organic farms, respectively. For the 3 farms, manure management changes led to a decrease in net return to management. Simulation results suggested that the same feeding and manure management mitigation strategies led to different outcomes depending on the farm system, and furthermore, effective mitigation strategies were used to reduce GHG emissions while maintaining

European organic dairy farmers' preference for animal health management within the farm management system.

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van Soest, F J S; Mourits, M C M; Hogeveen, H

2015-11-01

The expertise and knowledge of veterinary advisors on improving animal health management is key towards a better herd health status. However, veterinary advisors are not always aware of the goals and priorities of dairy farmers. To dairy farmers animal health is only one aspect of farm management and resources may be allocated to other more preferred areas. Veterinary advisors may experience this as non-compliant with their advice. To explore the preferences of European Union (EU) organic dairy farmers for improved animal health management relative to other farm management areas an adaptive conjoint analysis (ACA) was performed. A total of 215 farmers participated originating from organic dairy farms in France (n = 70), Germany (n = 60), Spain (n = 28) and Sweden (n = 57). The management areas udder health and claw health represented animal health management whereas barn, calf and pasture management represented potential conflicting management areas. Results indicate that EU organic dairy farmers differ in their preferences for improved animal health management within the farming system. In general, improved calf management was the most preferred area and improved claw health management was found to be least preferred, the remaining areas were of intermediate interest. Cluster analyses on claw health measures and udder health measures resulted in respectively seven and nine distinct preference profiles. The results indicate a high degree of variation in farmers' preference, which cannot be explained by the typical herd characteristics. With the individual preferences revealed by ACA, a veterinary advisor can now find out whether his intended advice is directed at a favourable or unfavourable management area of the farmer. If the latter is the case the veterinarian should first create awareness of the problem to the farmer. Insights in individual farmers preferences will allow veterinary advisors to better understand why farmers were incompliant with their advice

Modelling the economics of farm-based anaerobic digestion in a UK whole-farm context

International Nuclear Information System (INIS)

Jones, Philip; Salter, Andrew

2013-01-01

Anaerobic digestion (AD) technologies convert organic wastes and crops into methane-rich biogas for heating, electricity generation and vehicle fuel. Farm-based AD has proliferated in some EU countries, driven by favourable policies promoting sustainable energy generation and GHG mitigation. Despite increased state support there are still few AD plants on UK farms leading to a lack of normative data on viability of AD in the whole-farm context. Farmers and lenders are therefore reluctant to fund AD projects and policy makers are hampered in their attempts to design policies that adequately support the industry. Existing AD studies and modelling tools do not adequately capture the farm context within which AD interacts. This paper demonstrates a whole-farm, optimisation modelling approach to assess the viability of AD in a more holistic way, accounting for such issues as: AD scale, synergies and conflicts with other farm enterprises, choice of feedstocks, digestate use and impact on farm Net Margin. This modelling approach demonstrates, for example, that: AD is complementary to dairy enterprises, but competes with arable enterprises for farm resources. Reduced nutrient purchases significantly improve Net Margin on arable farms, but AD scale is constrained by the capacity of farmland to absorb nutrients in AD digestate. -- Highlights: •Lack of empirical data on UK farm AD is barrier to investment and policy formulation. •A modelling approach used to assess economic viability of AD in whole-farm context. •AD increases dairy and arable farm net margin including by savings in nutrient costs. •AD margins better for a few crops than other uses, especially wheat and beet crops. •AD co-exists with dairy, but to obtain best margin displaces conventional cropping

Performance of small-scale dairy farms in the highlands of central Mexico during the dry season under traditional feeding strategies.

Science.gov (United States)

Martínez-García, Carlos Galdino; Rayas-Amor, Adolfo Armando; Anaya-Ortega, Juan Pablo; Martínez-Castañeda, Francisco Ernesto; Espinoza-Ortega, Angélica; Prospero-Bernal, Fernando; Arriaga-Jordán, Carlos Manuel

2015-02-01

In Mexico, small-scale dairy systems (SSDS) represent over 78 % of dairy farms and contribute with 37 % of national milk production; however, they face high feeding costs. The objective of this study was to assess the performance of SSDS during the dry season in terms of milk yields, milk composition and feeding costs under traditional feeding strategies, to identify areas of opportunity for improving their profitability. The information was collected from 22 SSDS every month during dry season. Feeds were classified in quality forages (QF), supplements (SU) and straws (ST). Two factors were identified: factor 1-a positive relationship among QF, SU, milk yield and ration cost and factor 2-represented straw usage. Four feeding strategies were identified: (1) low-cost feeding strategy; (2) home-grown feeding strategy; (3) high-cost feeding strategy; and (4) straw-based feeding strategy. There were differences (P  0.05) differences among feeding strategies for fat and protein contents in milk. It is concluded that to improve performance and profitability and enhance sustainability in SSDS, farmers should base feeding strategies on home-grown quality forages, as it was the case in group 2 which showed lower feeding cost and better milk yield. It is also recommended to increase the inclusion of quality forages like grazing pastures and maize silages during the dry season and to avoid the inclusion of straws.

Managing health risks on small dairy farms in Kenya | CRDI - Centre ...

International Development Research Centre (IDRC) Digital Library (Canada)

Many cattle carry Cryptosporidium, an organism causing gastrointestinal illness with diarrhea that can be dangerous for both humans and animals. Preventing and managing this disease places a heavy burden on hospitals and veterinarians. IDRC-supported research into health hazards on smallholder dairy farms in a ...

Intensity of the production organisation in organic and conventional dairy farms

Directory of Open Access Journals (Sweden)

Urszula Malaga-Toboła

2013-03-01

Full Text Available This paper presents a comparative analysis of the intensity of the production organization between dairy farms conducting agricultural activity in organic and conventional production systems. Study groups of farms were located in the southern (fifteen organic farms, central and eastern part of Poland (fifteen conventional farms. The study was conducted in the form of a directed interview in the marketing year 2010/2011. Area, structure of land use and crop, livestock and the size of plant and animal in the production global and commodity were specified. The analysis showed a lot of differences between the two systems of production, from the area of farm and structure of land use and finally the production outputs. Basic statistical analysis was also conducted. It showed a significant negative correlation between the area of agricultural land and a positive correlation between the livestock and intensity of organisation of production. However, the correlation coefficients between the studied variables in the analysed farm groups differed from each other.

The relation between input-output transformation and gastrointestinal nematode infections on dairy farms.

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van der Voort, M; Van Meensel, J; Lauwers, L; Van Huylenbroeck, G; Charlier, J

2016-02-01

Efficiency analysis is used for assessing links between technical efficiency (TE) of livestock farms and animal diseases. However, previous studies often do not make the link with the allocation of inputs and mainly present average effects that ignore the often huge differences among farms. In this paper, we studied the relationship between exposure to gastrointestinal (GI) nematode infections, the TE and the input allocation on dairy farms. Although the traditional cost allocative efficiency (CAE) indicator adequately measures how a given input allocation differs from the cost-minimising input allocation, they do not represent the unique input allocation of farms. Similar CAE scores may be obtained for farms with different input allocations. Therefore, we propose an adjusted allocative efficiency index (AAEI) to measure the unique input allocation of farms. Combining this AAEI with the TE score allows determining the unique input-output position of each farm. The method is illustrated by estimating efficiency scores using data envelopment analysis (DEA) on a sample of 152 dairy farms in Flanders for which both accountancy and parasitic monitoring data were available. Three groups of farms with a different input-output position can be distinguished based on cluster analysis: (1) technically inefficient farms, with a relatively low use of concentrates per 100 l milk and a high exposure to infection, (2) farms with an intermediate TE, relatively high use of concentrates per 100 l milk and a low exposure to infection, (3) farms with the highest TE, relatively low roughage use per 100 l milk and a relatively high exposure to infection. Correlation analysis indicates for each group how the level of exposure to GI nematodes is associated or not with improved economic performance. The results suggest that improving both the economic performance and exposure to infection seems only of interest for highly TE farms. The findings indicate that current farm recommendations

Management, operational, animal health, and economic characteristics of large dairy herds in 4 states in the Upper Midwest of the United States.

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Evink, T L; Endres, M I

2017-11-01

Recent trends in dairy farm structure in the United States have included a decreasing number of farms, although farm size has increased, especially the share of milk production from very large herds (>2,500 cows). The objectives of this observational study were to describe common management practices; to characterize labor and operational structure; to measure some aspects of animal health, including lameness, hock lesions, mortality, and mastitis incidence; and to summarize cost of production on farms with more than 2,500 cows in 4 states in the Upper Midwest of the United States. The study included 15 dairy farms in Minnesota, Wisconsin, Iowa, and South Dakota. Farms were visited twice, once each year, and on-farm herd records were collected for those 2 yr. On-farm herd records were used to investigate mortality, culling, pregnancy rate, and clinical mastitis incidence. At least 1 high-producing pen of mature cows and 1 pen of fresh cows were scored for locomotion. Likewise, at least 1 pen of high-producing mature cows was scored for cleanliness and hock lesions. Median herd size was 3,975 cows (range = 2,606-13,266). Milk sold per employee was 1,120,745 kg and the number of cows per employee was 105. Eighty percent of the farms had Holstein cows, 13% had Jersey, and 7% had Jersey-Holstein crosses. All farms used artificial insemination as the sole form of breeding and 100% of the farms used hormonal synchronization or timed artificial insemination programs in their reproductive protocols; 21-d pregnancy rate was 21.7%. Median lameness prevalence was 18.3% and median severe lameness prevalence was 5.1%. Median hock lesion prevalence was 17.4% and median severe hock lesion prevalence was 1.9%; mortality rate was 7.4%. Clinical mastitis incidence was 62.5 cases per 100 cow-years. Feed costs accounted for approximately 53% of the total cost of producing milk, followed by labor at 11%, interest and depreciation expenses at 10%, and replacement costs at 9.5%. Herds in

What Difference Does a Visit Make? Changes in Animal Welfare Perceptions after Interested Citizens Tour a Dairy Farm.

Science.gov (United States)

Ventura, Beth Ann; von Keyserlingk, Marina A G; Wittman, Hannah; Weary, Daniel M

2016-01-01

Citizens' concerns about farm animal welfare are often dismissed on the assumption that they are not well informed about farming practices. We conducted exploratory surveys of interested citizens (n = 50) before and after a self-guided tour of a 500-head dairy farm. 'Before' survey questions explored perceptions, concerns, and values about dairy cattle farming and welfare, in addition to a short knowledge-based quiz on dairy cattle husbandry. An 'after' survey explored the extent to which these constructs shifted after the tour. Before, most participants correctly answered quiz questions about general feeding and housing practices, but scores were low on questions about specific practices such as cow-calf separation. Participants considered several elements as necessary for a 'good' life for dairy cattle: fresh food and water, pasture access, gentle handling, space, shelter, hygiene, fresh air and sunshine, social companions, absence of stress, health, and safety from predators. These elements reflect a diverse conception of animal welfare that incorporates values for physical and mental well-being, natural living, and humane care. The visit had a mixed effect on perceptions of whether dairy cows had a 'good' life, improving perceptions for a quarter of participants, worsening perceptions in a third, with no shift in the remaining participants. The visit appeared to mitigate some concerns (e.g., provision of adequate food and water, gentle humane care) while reinforcing or eliciting others (e.g., lack of pasture access, early cow-calf separation). Moreover, animal welfare-relevant values held by participants (e.g., natural living, care) appeared to play an important role in influencing perceptions of farm practices. These results suggest that education and exposure to livestock farming may resolve certain concerns, but other concerns will likely persist, especially when practices conflict with deeply held values around animal care.

What Difference Does a Visit Make? Changes in Animal Welfare Perceptions after Interested Citizens Tour a Dairy Farm

Science.gov (United States)

von Keyserlingk, Marina A. G.; Wittman, Hannah; Weary, Daniel M.

2016-01-01

Citizens’ concerns about farm animal welfare are often dismissed on the assumption that they are not well informed about farming practices. We conducted exploratory surveys of interested citizens (n = 50) before and after a self-guided tour of a 500-head dairy farm. ‘Before’ survey questions explored perceptions, concerns, and values about dairy cattle farming and welfare, in addition to a short knowledge-based quiz on dairy cattle husbandry. An ‘after’ survey explored the extent to which these constructs shifted after the tour. Before, most participants correctly answered quiz questions about general feeding and housing practices, but scores were low on questions about specific practices such as cow-calf separation. Participants considered several elements as necessary for a ‘good’ life for dairy cattle: fresh food and water, pasture access, gentle handling, space, shelter, hygiene, fresh air and sunshine, social companions, absence of stress, health, and safety from predators. These elements reflect a diverse conception of animal welfare that incorporates values for physical and mental well-being, natural living, and humane care. The visit had a mixed effect on perceptions of whether dairy cows had a ‘good’ life, improving perceptions for a quarter of participants, worsening perceptions in a third, with no shift in the remaining participants. The visit appeared to mitigate some concerns (e.g., provision of adequate food and water, gentle humane care) while reinforcing or eliciting others (e.g., lack of pasture access, early cow-calf separation). Moreover, animal welfare-relevant values held by participants (e.g., natural living, care) appeared to play an important role in influencing perceptions of farm practices. These results suggest that education and exposure to livestock farming may resolve certain concerns, but other concerns will likely persist, especially when practices conflict with deeply held values around animal care. PMID:27243965

Economic evaluation of information technology applications on dairy farms

OpenAIRE

Asseldonk, van, M.A.P.M.

1999-01-01

The research described in this thesis focused on the economic evaluation of information technology (IT) applications on dairy farms in order to support investment decisions. The evaluation included a normative (deductive) approach and an empirical (positive) approach. The normative approach predicted potential benefits from a theoretical model of the investment, and investigated how farmers should deal with the applications. The empirical approach observed the actual effects of the i...

Farm-level risk factors for Fasciola hepatica infection in Danish dairy cattle as evaluated by two diagnostic methods

DEFF Research Database (Denmark)

Takeuchi-Storm, Nao; Denwood, Matthew; Hansen, Tina Vicky Alstrup

2017-01-01

) as a tool for diagnosis in Danish dairy cattle farms was assessed. This case-control study aimed to identify farm-level risk factors for fasciolosis in Danish dairy farms (> 50 animals slaughtered in 2013) using two diagnostic methods: recordings of liver condemnation at slaughter, and farm-level Fasciola...... on wet pastures, dry cows grazing on wet pastures, herd size, breed and concurrent beef cattle production were identified as risk factors associated with being classified as a case farm. With the categorised BTM ELISA result as the response variable, heifers grazing on wet pastures, dry cows grazing...... on wet pastures, and purchase of cows were identified as risk factors. Within the case and control groups, 74.8 and 12.7% of farms were positive for fasciolosis on BTM ELISA, respectively. The differences are likely to be related to the detection limit of the farm-level prevalence by the BTM ELISA test...

Nitrogen efficiency of Dutch dairy farms : A shadow cost system approach

NARCIS (Netherlands)

Reinhard, S.; Thijssen, G.J.

2000-01-01

In this paper we analyse the cost efficiency and nitrogen efficiency of an unbalanced panel of Dutch dairy farms. Nitrogen efficiency is defined as the ratio of minimal to observed use of nitrogen (N-containing inputs), conditional on output and quasi-fixed inputs. Nitrogen efficiency is computed in

Factors associated with the financial performance of spring-calving, pasture-based dairy farms.

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Ramsbottom, G; Horan, B; Berry, D P; Roche, J R

2015-05-01

As land becomes a limiting resource for pasture-based dairy farming, the inclusion of purchased supplementary feeds to increase milk production per cow (through greater dry matter intake) and per hectare (through increased stocking rate) is often proposed as a strategy to increase profitability. Although a plausible proposition, virtually no analysis has been done on the effect of such intensification on the profitability of commercial pasture-based dairy farm businesses. The objective of this study was to characterize the average physical and financial performance of dairy systems differing in the proportion of the cow's diet coming from grazed pasture versus purchased supplementary feeds over 4 yr, while accounting for any interaction with geographic region. Physical, genetic, and financial performance data from 1,561 seasonal-calving, pasture-based dairy farms in Ireland were available between the years 2008 and 2011; data from some herds were available for more than 1 yr of the 4-yr study period, providing data from 2,759 dairy farm-years. The data set was divided into geographic regions, based on latitude, rainfall, and soil characteristics that relate to drainage; these factors influence the length of the pasture growth season and the timing of turnout to pasture in spring and rehousing in autumn. Farms were also categorized by the quantity of feed purchased; farms in which cows received 30% of their annual feed requirements from purchased feed were considered to be categories representative of increasing levels of system intensification. Geographic region was associated with differences in grazing days, pasture harvested per hectare, milk production per cow and per hectare, and farm profitability. Farms in regions with longer grazing seasons harvested a greater amount of pasture [an additional 19kg of dry matter (DM)/ha per grazing day per hectare], and greater pasture harvested was associated with increased milk component yield per hectare (58.4kg of fat

Dairy farm demographics and management factors that played a role in the re-emergence of brucellosis on dairy cattle farms in Fiji.

Science.gov (United States)

Tukana, Andrew; Gummow, B

2017-08-01

Little is published on risk factors associated with bovine brucellosis in Pacific island communities. The 2009 re-emergence of bovine brucellosis in Fiji enabled us to do an interview-based questionnaire survey of 81 farms in the Wainivesi locality of the Tailevu province on the main island of Fiji to investigate what risk factors could have played a role in the re-emergence of the disease. The survey was conducted on 68 farms that had no positive cases of bovine brucellosis and on 13 farms in the same area where cattle had returned a positive result to the Brucella Rose Bengal test. Descriptive statistical methods were used to describe the demographic data while univariate analysis and multivariate logistic regression were used to evaluate the association between the selected risk factors and the presence of brucellosis on the farms at the time of the outbreak. The demographics of Fijian dairy farms are presented in the article and the biosecurity implications of those farming systems are discussed. Two risk factors were strongly associated with farms having brucellosis, and these were history of reactor cattle to brucellosis and or bovine tuberculosis on the farm (OR = 29, P ≤ 0.01) and farms that practised sharing of water sources for cattle within and with outside farms (OR = 39, P ≤ 0.01). Possible reasons why these were risk factors are also discussed. The potential risks for human health was also high as the use of personal protective equipment was low (15%). A high proportion of farmers (62%) could not recognise brucellosis thus contributing to the low frequency of disease reports (44%) made. The article also highlights other important risk factors which could be attributed to farming practices in the region and which could contribute to public health risks and the re-emergence of diseases.

ECONOMIC SIGNIFICANCE OF TROPICAL THEILERIOSIS ON A HOLSTEIN FRIESIAN DAIRY FARM IN PAKISTAN.

Science.gov (United States)

Rashid, Muhammad; Haroon, Akbar; Rashid, Muhmmad Imran; Khalid, Saeed; Liaquat, Ahmad; Saghir, Abdullah; Wasim, Shehzad; Saher, Islam; Shahid, Farooqi

2018-03-09

The dairy industry in Pakistan is booming and investors are anxious to fund dairy farms that are using high milk producing (exotic) cattle breeds such as Holsteins that are not native to the country. Unfortunately, the benefits of increased milk production do not provide resistance to pathogens present in regions where the exotic breeds are introduced. Therefore, the current study was conducted to evaluate the economic impact of Theileria annulata on a commercial Holstein dairy farm in the District of Ranjanpur, in the Province of Punjab, Pakistan. The economic impact of T. annulata infection was calculated for cattle with subclinical and clinical theileriosis. Losses were estimated based on milk production, morbidity, mortality and tick control costs (organophosphate sprays). Animals were classified into groups after screening for mastitis, teat abnormality, abnormal parturition, intestinal parasites and hemoparasites (T. annulata, Babesia spp., and Anaplasma spp.). Microscopy was done for hemoparasites and intestinal parasites. PCR was used to confirm microscopic identification of T. annulata. Animals were classified into 3 groups, comprising group A (normal), group B (subclinical theileriosis) and group C (acute theileriosis). Hemoparasites were observed microscopically in 28.7% of cows. Theileria annulata was found in 8% and the herd incidence (new cases) of T. annulata was 2.8%. Milk production, animal rectal temperature and body condition scores of group A with B and C were significantly different (P0.05). The total expenditure incurred due to theileriosis was US $74.98 per animal and 13.83% of total farm costs. Hence theileriosis caused significant economic loss of US $18743.76 (0.02 million) on this Holstein Friesian dairy.

The distribution of dairy farm size in Poland: a markov approach based on information theory

NARCIS (Netherlands)

Tonini, A.; Jongeneel, R.

2009-01-01

This article sets out to analyse the evolution of the dairy farm structure of Poland during the post-socialist period. After focusing on how the farm structure has changed over time, an instrumental variable generalized cross entropy estimator is used to develop and estimate a Markov model in order

Associations between management practices and colostrum quality on New Zealand dairy farms.

Science.gov (United States)

Denholm, K S; Hunnam, J C; Cuttance, E L; McDougall, S

2017-09-01

To describe colostrum quality in spring-calving dairy herds in New Zealand, in terms of Brix, pH and total and coliform bacterial counts and to investigate associations between farm management practices and these measures of colostrum quality. In June 2015, commercial dairy farms (n=105), located in North and South Islands of New Zealand, were visited shortly after the first cows had calved, and when approximately 50% and 80% of the herd had calved (early, middle and late visits). One litre of pooled colostrum that was being fed to newborn calves was collected at each visit and used to determine Brix, pH, total bacterial and coliform counts. A survey of calf management practices was conducted with the herd manager or calf rearer after the final visit. Of 298 pooled colostrum samples tested 29/298 (9.7%) had Brix >22%. Brix was higher on farms where calves were picked up twice daily compared with once daily (18.2 (95% CI=16.5-19.9)% vs. 15.9% (95% CI=15.2-16.6)%; p=0.012), and was lower where first milking colostrum was combined with colostrum obtained at later milkings (15.0 (95% CI=13.9-16.1)%) compared with where it was not (16.9 (95% CI=16.3-17.6)%; p=0.002). Vaccination of all cows against calf diarrhoeal pathogens was associated with increased Brix compared with no vaccination (18.1 (95% CI=16.6-19.6)% vs. 16.3 (95% CI=15.6-17.0)%; p=0.033). Mean pH of samples tested decreased from 5.97 (95% CI=5.84-6.09) to 5.58 (95% CI=5.45-5.71) for early and late-season visits, respectively (p<0.001). Of 268 samples tested, 23 (8.6%) had bacterial counts below the recommended threshold of 1.00×10 5 cfu/mL. Mean bacterial counts increased from 2.75 (95% CI=1.80-3.70)×10 8 to 4.99 (95% CI=3.95-6.03)×10 8 cfu/mL for early and late-season visits, respectively (p<0.001). Of 259 samples tested, 23 (8.9%) had coliform counts below the recommended threshold of 1.00×10 4 cfu/mL. On a large majority of dairy farms included in this study the pooled colostrum fed to newborn calves

Integrated Approach for Improving Small Scale Market Oriented Dairy Systems in Pakistan: Economic Impact of Interventions

Directory of Open Access Journals (Sweden)

A. Ghaffar

2010-02-01

Full Text Available The International Atomic Energy Agency (IAEA launched a Coordinated Research Program in 10 developing countries including Pakistan involving small scale market oriented dairy farmers to identify and prioritize the constraints and opportunities in the selected dairy farms, develop intervention strategies and assess the economic impact of the intervention. The interventions in animal health (control of mastitis at sub-clinical stage and reduction in calf mortality, nutrition (balanced feed reproduction (mineral supplementation, and general management (training of farmers were identified and implemented in a participatory approach at the selected dairy farms. The calf mortality was reduced from 35 to 13 percent up to the age of 3 months. Use of Alfa Deval post milking teat dips reduced the incidence of sub-clinical mastitis from 34 to 5% showing economical benefits of the interventions. Partial budget technique was used to analyze its impact in the registered herds. The farmers recorded monthly quantities of different feed ingredients and seasonal green fodder offered to the animals. From this data set total metabolizeable energy requirements and availability from feed were computed which revealed that animals were deficient in metabolizeable energy in all locations. This was also confirmed by seasonal variation in body condition scoring. At some selected farms the mineral mixture supplement was introduced which exhibited increased milk yield by 5 % in addition to shorten service period by 30 days. Three sessions of training were arranged to train the farmers to care new born calves, daily farm management and detect the animals in heat efficiently to enhance the over all income of the farmers. The overall income of the farm was increased by 40%.

Farmers' perception of the role of veterinary surgeons in vaccination strategies on British dairy farms.

Science.gov (United States)

Richens, I F; Hobson-West, P; Brennan, M L; Lowton, R; Kaler, J; Wapenaar, W

2015-11-07

There is limited research investigating the motivators and barriers to vaccinating dairy cattle. Veterinary surgeons have been identified as important sources of information for farmers making vaccination and disease control decisions, as well as being farmers' preferred vaccine suppliers. Vets' perception of their own role and communication style can be at odds with farmers' reported preferences. The objective of this study was to investigate how dairy farmers perceived the role of vets in implementing vaccination strategies on their farm. Semi-structured interviews were conducted with 24 dairy farmers from across Britain. The data were analysed using thematic analysis. Analysis revealed that farmers perceive vets to have an important role in facilitating decision-making in all aspects of vaccination, including the aspects of vaccine distribution and advice on implementation. This important role is acknowledged by farmers who have regular veterinary contact, but also farmers with solely emergency veterinary contact. Given this finding, future work should investigate the attitudes of vets towards vaccination and how they perceive their role. Combining this knowledge will enable optimisation of vaccination strategies on British dairy farms. British Veterinary Association.

Feeding strategies on certified organic dairy farms in Wisconsin and their effect on milk production and income over feed costs.

Science.gov (United States)

Hardie, C A; Wattiaux, M; Dutreuil, M; Gildersleeve, R; Keuler, N S; Cabrera, V E

2014-07-01

The purposes of this study were (1) to analyze and categorize certified organic Wisconsin dairy farms based on general farm characteristics and feeding strategies during the course of 2010, and (2) to evaluate herd milk production and income over feed costs (IOFC). An on-site survey containing sections on farm demographics, feeding, grazing, and economics was conducted on 69 farms (12.6% survey response rate). A nonhierarchical clustering method using 9 variables related to general farm characteristics, feed supplementation, and grazing was applied to partition the farms into clusters. A scree plot was used to determine the most appropriate number of clusters. Dry matter intake was approximated based on farmer-reported total amounts of feed consumed (feed offered less refusals). Milk production was evaluated using reported milk rolling herd averages (RHA). Income over feed costs was calculated as milk sales minus feed expenses. The farms in clusters 1 (n=8) and 3 (n=32), the large and small high-input farms, respectively, included more feed ingredients in their lactating cow diets and relied more heavily on concentrates than farms in other clusters. Cows on these farms were predominantly Holstein. Clusters 1 and 3 had the highest RHA (6,878 and 7,457 kg/cow per year, respectively) and IOFC ($10.17 and $8.59/lactating cow per day, respectively). The farms in cluster 2 (n=5) were completely seasonal, extremely low-input farms that relied much more heavily on pasture as a source of feed, with 4 out of the 5 farms having all of their operated land in pasture. Farms in cluster 2 relied on fewer feeds during both the grazing and nongrazing seasons compared with farms in the other clusters. These farms had the lowest RHA and IOFC at 3,632 kg/cow per year and $5.76/lactating cow per day, respectively. Cluster 4 (n=24), the partly seasonal, moderate-input, pasture-based cluster, ranked third for RHA and IOFC (5,417 kg/cow per year and $5.92/lactating cow per day

A case study of the carbon footprint of milk from high-performing confinement and grass-based dairy farms.

Science.gov (United States)

O'Brien, D; Capper, J L; Garnsworthy, P C; Grainger, C; Shalloo, L

2014-03-01

Life-cycle assessment (LCA) is the preferred methodology to assess carbon footprint per unit of milk. The objective of this case study was to apply an LCA method to compare carbon footprints of high-performance confinement and grass-based dairy farms. Physical performance data from research herds were used to quantify carbon footprints of a high-performance Irish grass-based dairy system and a top-performing United Kingdom (UK) confinement dairy system. For the US confinement dairy system, data from the top 5% of herds of a national database were used. Life-cycle assessment was applied using the same dairy farm greenhouse gas (GHG) model for all dairy systems. The model estimated all on- and off-farm GHG sources associated with dairy production until milk is sold from the farm in kilograms of carbon dioxide equivalents (CO2-eq) and allocated emissions between milk and meat. The carbon footprint of milk was calculated by expressing GHG emissions attributed to milk per tonne of energy-corrected milk (ECM). The comparison showed that when GHG emissions were only attributed to milk, the carbon footprint of milk from the Irish grass-based system (837 kg of CO2-eq/t of ECM) was 5% lower than the UK confinement system (884 kg of CO2-eq/t of ECM) and 7% lower than the US confinement system (898 kg of CO2-eq/t of ECM). However, without grassland carbon sequestration, the grass-based and confinement dairy systems had similar carbon footprints per tonne of ECM. Emission algorithms and allocation of GHG emissions between milk and meat also affected the relative difference and order of dairy system carbon footprints. For instance, depending on the method chosen to allocate emissions between milk and meat, the relative difference between the carbon footprints of grass-based and confinement dairy systems varied by 3 to 22%. This indicates that further harmonization of several aspects of the LCA methodology is required to compare carbon footprints of contrasting dairy systems. In

THE DIMENSION OF COOPERATIVISM AND DAIRY CATTLE FARMING IN GETASAN VILLAGE, SEMARANG REGENCY, CENTRAL JAVA PROVINCE, INDONESIA

Directory of Open Access Journals (Sweden)

S. Gayatri

2014-10-01

Full Text Available The study was aimed to explore the role of cooperativism in dairy cattle farming in Getasan village,Semarang Regency, Central Java Province. Spearman Rank Correlation test was used to determine therelationship between cooperativism and the performance of dairy cattle farming. Based on the results ofthe Spearman Rank correlation test, feeds and feeding practices were significantly correlated withsharing of knowledge and information and sharing of resources. However, no significant relationshipwas found between participation in decision making and feeds and feeding practices. Meanwhile, therewere significant relationships amog sharing of knowledge and information, sharing of resources, andparticipation in decision making and milk production in Getasan Village. The dairy health asperformance indicator of dairy cattle farming, sharing of knowledge and information was the onlysignificant factor. Sharing of resources and participation in decision making had no significantrelationship with dairy health. As regards marketing, the test showed that sharing of knowledge andinformation, sharing of resources, and participation in decision making were significantly relatedfactors. This study indicated that cooperativism may provide opportunities for farmers to accessservices, information and resources that will allow them to improve their capacities in these areas. Thisstudy also proposed some recommendations that the cooperatives should promote activities encouraginggreater cooperation and mutual understanding among the members. Skills trainings and education forempowerment should be conducted to encourage participation in decision making.

Danish dairy farmers' perception of biosecurity.

Science.gov (United States)

Kristensen, Erling; Jakobsen, Esben B

2011-05-01

To implement biosecurity measures at farm-level is a motivational challenge to dairy farmers as emerging diseases and their consequences largely are unpredictable. One of the reasons for this challenge is that outcomes are more likely to benefit society than the individual farmer. From the individual farmer's point of view the impacts of zoonotic risk, international trade and welfare concerns appear less obvious than the direct costs at farm-level. Consequently, a social dilemma may arise where collective interests are at odds with private interests. To improve biosecurity at farm-level farmers must be motivated to change behavior in the 'right' direction which could provide selfish farmers with unintended possibilities to exploit the level of biosecurity provided by other dairy farmers' collective actions. Farmers' perception of risk of disease introduction into a dairy herd was explored by means of Q-methodology. Participating farmers owned very large dairy herds and were selected for this study because Danish legislation since 2008 has required that larger farms develop and implement a farm specific biosecurity plan. However, a year from introduction of this requirement, none of the participating farmers had developed a biosecurity plan. Farmers' perception of biosecurity could meaningfully be described by four families of perspectives, labeled: cooperatives; confused; defectors, and introvert. Interestingly, all families of perspectives agreed that sourcing of animals from established dealers represented the highest risk to biosecurity at farm-level. Farmers and policy-makers are faced with important questions about biosecurity at farm-level related to the sanctioning system within the contextual framework of social dilemmas. To solve these challenges we propose the development of a market-mediated system to (1) reduce the risk of free-riders, and (2) provide farmers with incentives to improve biosecurity at farm-level. Copyright © 2011 Elsevier B.V. All

The National Cohort of Dairy Farms--a data collection platform for mastitis research in Canada.

Science.gov (United States)

Reyher, K K; Dufour, S; Barkema, H W; Des Côteaux, L; Devries, T J; Dohoo, I R; Keefe, G P; Roy, J-P; Scholl, D T

2011-03-01

Costs and feasibility of extensive sample collection and processing are major obstacles to mastitis epidemiology research. Studies are often consequentially limited, and fundamental mastitis researchers rarely have the opportunity to conduct their work in epidemiologically valid populations. To mitigate these limitations, the Canadian Bovine Mastitis Research Network has optimized research funds by creating a data collection platform to provide epidemiologically meaningful data for several simultaneous research endeavors. This platform consists of a National Cohort of Dairy Farms (NCDF), Mastitis Laboratory Network, and Mastitis Pathogen Culture Collection. This paper describes the implementation and operation of the NCDF, explains its sampling protocols and data collection, and documents characteristics, strengths and limitations of these data for current and potential users. The NCDF comprises 91 commercial dairy farms in 6 provinces sampled over a 2-yr period. Primarily Holstein-Friesian herds participating in Dairy Herd Improvement milk recording were selected in order to achieve a uniform distribution among 3 strata of bulk tank somatic cell counts and to reflect regional proportions of freestall housing systems. Standardized protocols were implemented for repeated milk samplings on clinical mastitis cases, fresh and randomly selected lactating cows, and cows at dry-off and after calving. Just fewer than 133,000 milk samples were collected. Demographic and production data were recorded at individual cow and farm levels. Health management data are documented and extensive questionnaire data detailing farm management and cleanliness information are also captured. The Laboratory Network represents coordinated regional mastitis bacteriology laboratories using standardized procedures. The Culture Collection archives isolates recovered from intramammary infections of cows in the NCDF and contains over 16,500 isolates, all epidemiologically cross-referenced between

Mastitis incidence and milk quality in organic dairy farms which use suckling systems in calf rearing.

NARCIS (Netherlands)

Wagenaar, J.P.; Smolders, E.A.A.

2008-01-01

In order to identify important factors influencing animal health and general disease resistance, detailed qualitative and quantitative farm data were collected from 99 organic dairy farms in the Netherlands. Mastitis incidence and milk quality were focal points of the data collection. In this paper

Invited review: Changes in the dairy industry affecting dairy cattle health and welfare.

Science.gov (United States)

Barkema, H W; von Keyserlingk, M A G; Kastelic, J P; Lam, T J G M; Luby, C; Roy, J-P; LeBlanc, S J; Keefe, G P; Kelton, D F

2015-11-01

The dairy industry in the developed world has undergone profound changes over recent decades. In this paper, we present an overview of some of the most important recent changes in the dairy industry that affect health and welfare of dairy cows, as well as the science associated with these changes. Additionally, knowledge gaps are identified where research is needed to guide the dairy industry through changes that are occurring now or that we expect will occur in the future. The number of farms has decreased considerably, whereas herd size has increased. As a result, an increasing number of dairy farms depend on hired (nonfamily) labor. Regular professional communication and establishment of farm-specific protocols are essential to minimize human errors and ensure consistency of practices. Average milk production per cow has increased, partly because of improvements in nutrition and management but also because of genetic selection for milk production. Adoption of new technologies (e.g., automated calf feeders, cow activity monitors, and automated milking systems) is accelerating. However, utilization of the data and action lists that these systems generate for health and welfare of livestock is still largely unrealized, and more training of dairy farmers, their employees, and their advisors is necessary. Concurrently, to remain competitive and to preserve their social license to operate, farmers are increasingly required to adopt increased standards for food safety and biosecurity, become less reliant on the use of antimicrobials and hormones, and provide assurances regarding animal welfare. Partly because of increasing herd size but also in response to animal welfare regulations in some countries, the proportion of dairy herds housed in tiestalls has decreased considerably. Although in some countries access to pasture is regulated, in countries that traditionally practiced seasonal grazing, fewer farmers let their dairy cows graze in the summer. The proportion of

Incidence rate of clinical mastitis on Canadian dairy farms.

Science.gov (United States)

Olde Riekerink, R G M; Barkema, H W; Kelton, D F; Scholl, D T

2008-04-01

No nationwide studies of the incidence rate of clinical mastitis (IRCM) have been conducted in Canada. Because the IRCM and distribution of mastitis-causing bacteria may show substantial geographic variation, the primary objective of this study was to determine regional pathogen-specific IRCM on Canadian dairy farms. Additionally, the association of pathogen-specific IRCM with bulk milk somatic cell count (BMSCC) and barn type were determined. In total, 106 dairy farms in 10 provinces of Canada participated in the study for a period of 1 yr. Participating producers recorded 3,149 cases of clinical mastitis. The most frequently isolated mastitis pathogens were Staphylococcus aureus, Escherichia coli, Streptococcus uberis, and coagulase-negative staphylococci. Overall mean and median IRCM were 23.0 and 16.7 cases per 100 cow-years in the selected herds, respectively, with a range from 0.7 to 97.4 per herd. No association between BMSCC and overall IRCM was found, but E. coli and culture-negative IRCM were highest and Staph. aureus IRCM was lowest in low and medium BMSCC herds. Staphylococcus aureus, Strep. uberis, and Streptococcus dysgalactiae IRCM were lowest in the Western provinces. Staphylococcus aureus and Strep. dysgalactiae IRCM were highest in Québec. Cows in tie-stalls had higher incidences of Staph. aureus, Strep. uberis, coagulase-negative staphylococci, and other streptococcal IRCM compared with those in free-stalls, whereas cows in free stalls had higher Klebsiella spp. and E. coli IRCM than those in tie-stall barns. The focus of mastitis prevention and control programs should differ between regions and should be tailored to farms based on housing type and BMSCC.

Recycling manure as cow bedding: Potential benefits and risks for UK dairy farms.

Science.gov (United States)

Leach, Katharine A; Archer, Simon C; Breen, James E; Green, Martin J; Ohnstad, Ian C; Tuer, Sally; Bradley, Andrew J

2015-11-01

Material obtained from physical separation of slurry (recycled manure solids; RMS) has been used as bedding for dairy cows in dry climates in the US since the 1970s. Relatively recently, the technical ability to produce drier material has led to adoption of the practice in Europe under different climatic conditions. This review collates the evidence available on benefits and risks of using RMS bedding on dairy farms, with a European context in mind. There was less evidence than expected for anecdotal claims of improved cow comfort. Among animal health risks, only udder health has received appreciable attention. There are some circumstantial reports of difficulties of maintaining udder health on RMS, but no large scale or long term studies of effects on clinical and subclinical mastitis have been published. Existing reports do not give consistent evidence of inevitable problems, nor is there any information on clinical implications for other diseases. The scientific basis for guidelines on management of RMS bedding is limited. Decisions on optimum treatment and management may present conflicts between controls of different groups of organisms. There is no information on the influence that such 'recycling' of manure may have on pathogen virulence. The possibility of influence on genetic material conveying antimicrobial resistance is a concern, but little understood. Should UK or other non-US farmers adopt RMS, they are advised to do so with caution, apply the required strategies for risk mitigation, maintain strict hygiene of bed management and milking practices and closely monitor the effects on herd health. Copyright © 2015 Elsevier Ltd. All rights reserved.

Cost-effectiveness of feeding strategies to reduce greenhouse gas emissions from dairy farming.

Science.gov (United States)

Van Middelaar, C E; Dijkstra, J; Berentsen, P B M; De Boer, I J M

2014-01-01

The objective of this paper was to evaluate the cost-effectiveness of 3 feeding strategies to reduce enteric CH4 production in dairy cows by calculating the effect on labor income at the farm level and on greenhouse gas (GHG) emissions at the chain level (i.e., from production of farm inputs to the farm gate). Strategies included were (1) dietary supplementation of an extruded linseed product (56% linseed; 1kg/cow per day in summer and 2kg/cow per day in winter), (2) dietary supplementation of a nitrate source (75% nitrate; 1% of dry matter intake), and (3) reducing the maturity stage of grass and grass silage (grazing at 1,400 instead of 1,700kg of dry matter/ha and harvesting at 3,000 instead of 3,500kg of dry matter/ha). A dairy farm linear programing model was used to define an average Dutch dairy farm on sandy soil without a predefined feeding strategy (reference situation). Subsequently, 1 of the 3 feeding strategies was implemented and the model was optimized again to determine the new economically optimal farm situation. Enteric CH4 production in the reference situation and after implementing the strategies was calculated based on a mechanistic model for enteric CH4 and empirical formulas explaining the effect of fat and nitrate supplementation on enteric CH4 production. Other GHG emissions along the chain were calculated using life cycle assessment. Total GHG emissions in the reference situation added up to 840kg of CO2 equivalents (CO2e) per t of fat- and protein-corrected milk (FPCM) and yearly labor income of €42,605. Supplementation of the extruded linseed product reduced emissions by 9kg of CO2e/t of FPCM and labor income by €16,041; supplementation of the dietary nitrate source reduced emissions by 32kg of CO2e/t of FPCM and labor income by €5,463; reducing the maturity stage of grass and grass silage reduced emissions by 11kg of CO2e/t of FPCM and labor income by €463. Of the 3 strategies, reducing grass maturity was the most cost

GRAZING BEHAVIOUR OF DAIRY COWS ON MOUNTAIN FARM

Directory of Open Access Journals (Sweden)

J. VOŘÍŠKOVÁ

2009-10-01

Full Text Available The etological observation was provided on a dairy herd (65 Czech Fleckvieh and 51 Holstein cows on a low-input mountain farm during the pasture season (April – October 2008. The milking was provided two-times a day in the stalls. The 24-hours observations were made four-times: in June, July, September and October, in 10- minutes intervals. The cows spent 25 to 38 % of a day on average by feeding and 18 to 22 % on average by moving (stalls – pasture movements took about half of this period. The resting time consisting of chewing was found unsufficient and took 29 % to 40 % of a day on average. Better comfort of cows given by an improved milking technology and a more effective grazing management connected with longer time spent by resting is suggested to achieve higher milk yields on the farm.

Recycling manure as cow bedding: potential benefits and risks for UK dairy farms

OpenAIRE

Lech, Katharine. A.; Archer, Simon C.; Breen, James E.; Green, Martin J.; Ohnstad, Ian C.; Tuer, Sally; Bradley, Andrew J.

2015-01-01

Material obtained from physical separation of slurry (recycled manure solids; RMS) has been used as bedding for dairy cows in dry climates in the US since the 1970s. Relatively recently, the technical ability to produce drier material has led to adoption of the practice in Europe under different climatic conditions. This review collates the evidence available on benefits and risks of using RMS bedding on dairy farms, with a European context in mind. There was less evidence than expected for a...

Impact of biogas digesters on wood utilisation and self-reported back pain for women living on rural Kenyan smallholder dairy farms.

Science.gov (United States)

Dohoo, Carolyn; VanLeeuwen, John; Read Guernsey, Judith; Critchley, Kim; Gibson, Mark

2013-01-01

Women living on rural Kenyan dairy farms spend significant amounts of time collecting wood for cooking. Biogas digesters, which generate biogas for cooking from the anaerobic decomposition of livestock manure, are an alternative fuel source. The objective of this study was to quantify the quality of life and health benefits of installing biogas digesters on rural Kenyan dairy farms with respect to wood utilisation. Women from 62 farms (31 biogas farms and 31 referent farms) participated in interviews to determine reliance on wood and the impact of biogas digesters on this reliance. Self-reported back pain, time spent collecting wood and money spent on wood were significantly lower (p biogas group, compared to referent farms. Multivariable linear regression showed that wood consumption increased by 2 lbs/day for each additional family member living on a farm. For an average family of three people, the addition of one cow was associated with increased wood consumption by 1.0 lb/day on biogas farms but by 4.4 lbs/day on referent farms (significant interaction variable - likely due to additional hot water for cleaning milk collection equipment). Biogas digesters represent a potentially important technology that can reduce reliance on wood fuel and improve health for Kenyan dairy farmers.

Potential airborne microbial hazards for workers on dairy and beef cattle farms in Egypt

Directory of Open Access Journals (Sweden)

Amr M.M. Abd-Elall

2009-06-01

Full Text Available This study was conducted to determine the concentration and frequency distribution of certain airborne micro-organisms on cattle farms and their potential health hazards to farm workers. The samples (60 air samples and 240 hand and nasal swabs from cattle farm workers were collected from ten cattle farms (five dairy barns and five beef sheds located in the Sharkia Governorate of Egypt. Air samples were collected for microbiological examination in liquid media using an all-glass impinger whereas those for fungal examination were placed on agar plates using slit air samplers (aeroscopes. The results showed that the overall means of total culturable bacterial and fungal counts were lower in the air of dairy cattle barns than in beef cattle sheds. Identification of the isolated bacteria revealed the recovery of the following species (from dairy cattle barns versus beef cattle sheds: Staphylococcus epidermidis (26.7% vs 36.7%, S. saprophyticus (20% vs 33.3%, S. aureus (10% vs 16.7%, Enterococcus faecalis (23.3% vs 26.7%, Enterobacter agglomerans (23.3 vs 13.3%, Escherichia coli, (16.7% vs 26.7%, Klebsiella oxytoca, (10% vs 16.7%, K. pneumoniae (3.3% vs 0%, Proteus rettegri (6.7% vs 13.3%, P. mirabilis (10% vs 10%, P. vulgaris (3.3% vs 6.7%, Pseudomonas species (6.7% vs 16.7%, respectively. Mycological examination of air samples revealed the presence of Aspergillus fumigatus (46.7% vs 63.3%, A. niger (20% vs 36.7%, A. flavus (13.3% vs 26.7%, Penicillium citrinum (16.7% vs 23.3%, P. viridicatum (13.3% vs 6.7%, P. capsulatum (3.3% vs 0%, Cladosporium spp. (30% vs 56.7%, Alternaria spp. (13.3 vs 23.3%, Mucor spp. (6.7% vs 16.7%, Fusarium spp. (3.3% vs 10%, Absidia spp. (6.7% vs 10%, Curvilaria spp. (10% vs 3.3%, Rhizopus spp. (6.7% vs 13.3%, Scopulariopsis (3.3% vs 6.7%, Epicoccum spp. (0% vs 3.4% and yeast (13.3% vs 20%, respectively. In addition, microbiological examinations of farm workers revealed heavy contamination of their hands and noses with

Reducing the environmental impact of methane emissions from dairy farms by anaerobic digestion of cattle waste.

Science.gov (United States)

Marañón, E; Salter, A M; Castrillón, L; Heaven, S; Fernández-Nava, Y

2011-08-01

Four dairy cattle farms considered representative of Northern Spain milk production were studied. Cattle waste was characterised and energy consumption in the farms was inventoried. Methane emissions due to slurry/manure management and fuel consumption on the farms were calculated. The possibility of applying anaerobic digestion to the slurry to minimise emissions and of using the biogas produced to replace fossil fuels on the farm was considered. Methane emissions due to slurry management (storage and use as fertiliser) ranged from 34 to 66kg CH(4)cow(-1)year(-1) for dairy cows and from 13 to 25kg CH(4)cow(-1)year(-1) for suckler calves. Cattle on these farms are housed for most of the year, and the contribution from emissions from manure dropped in pastures is insignificant due to the very low methane conversion factors. If anaerobic digestion were implemented on the farms, the potential GHG emissions savings per livestock unit would range from 978 to 1776kg CO(2)eq year(-1), with the main savings due to avoided methane emissions during slurry management. The methane produced would be sufficient to supply digester heating needs (35-55% of the total methane produced) and on-farm fuel energy requirements. Copyright © 2011 Elsevier Ltd. All rights reserved.

HACCP-based quality risk management approach to udder health problems on dairy farms.

Science.gov (United States)

Noordhuizen, Jptm; Cannas da Silva, J

2009-04-01

Against the background of prevailing udder health problems on dairy farms, this paper discusses a new approach to mastitis control. Current udder health control programmes, such as the 'five-point plan', are highlighted and their drawbacks indicated. The concept and principles of hazard analysis critical control points (HACCP) are introduced. The eight core elements of this concept are dealt with by using the example of a dairy herd with a mastitis problem due to Staphylococcus aureus. The various steps to be taken in the development of a HACCP-based quality risk management programme are illustrated through the application of core elements. Finally, it is shown that the HACCP key words, structure, organisation, planning, communication and formalisation; which do not frequently appear in conventional herd health and production management programmes can contribute to better udder health. The role of the veterinarian can be paramount and of added value, if he/she is willing to invest in new knowledge and skills, such as the HACCP concept, farm economics, animal nutrition, and particularly the role of coach to the dairy farmer in the implementation of preventative measures in relation to udder health.

HACCP-based quality risk management approach to udder health problems on dairy farms

Directory of Open Access Journals (Sweden)

Noordhuizen JPTM

2009-04-01

Full Text Available Abstract Against the background of prevailing udder health problems on dairy farms, this paper discusses a new approach to mastitis control. Current udder health control programmes, such as the 'five-point plan', are highlighted and their drawbacks indicated. The concept and principles of hazard analysis critical control points (HACCP are introduced. The eight core elements of this concept are dealt with by using the example of a dairy herd with a mastitis problem due to Staphylococcus aureus. The various steps to be taken in the development of a HACCP-based quality risk management programme are illustrated through the application of core elements. Finally, it is shown that the HACCP key words, structure, organisation, planning, communication and formalisation; which do not frequently appear in conventional herd health and production management programmes can contribute to better udder health. The role of the veterinarian can be paramount and of added value, if he/she is willing to invest in new knowledge and skills, such as the HACCP concept, farm economics, animal nutrition, and particularly the role of coach to the dairy farmer in the implementation of preventative measures in relation to udder health.

DairyBISS Baseline report

NARCIS (Netherlands)

Buizer, N.N.; Berhanu, Tinsae; Murutse, Girmay; Vugt, van S.M.

2015-01-01

This baseline report of the Dairy Business Information Service and Support (DairyBISS) project presents the findings of a baseline survey among 103 commercial farms and 31 firms and advisors working in the dairy value chain. Additional results from the survey among commercial dairy farms are

Prevalence and molecular identification of Chlamydia abortus in commercial dairy goat farms in a hot region in Mexico.

Science.gov (United States)

Campos-Hernández, Eleuterio; Vázquez-Chagoyán, Juan Carlos; Salem, Abdelfattah Z M; Saltijeral-Oaxaca, Jorge Antonio; Escalante-Ochoa, Cristina; López-Heydeck, Sandra M; de Oca-Jiménez, Roberto Montes

2014-08-01

The aim of this study was to determine the seroprevalence and presence of Chlamydia abortus in Saanen breed female goats from commercial dairy goat farms under intensive production in the municipality of Guanajuato, Mexico. Sera were collected to determine the prevalence of anti-C. abortus IgG antibodies using recombinant enzyme-linked immunosorbent assay (rELISA) and cell culture. Polymerase chain reaction (PCR) was used to prove the presence of the pathogen in swab samples collected from the vagina and rectum of selected animals. Additionally, foetal tissue samples from a sudden abortion were collected. C. abortus prevalence in female goats of commercial milking farms sampled in Guanajuato, Mexico, was 4.87% (n = 246). Seropositive animals were found in six out of nine (66.6%) dairy goat farms sampled, and prevalence among animals in individual farms ranged between 3.44 and 13.51%. C. abortus was detected using PCR in spleen tissue from the aborted foetus. PCR-based detection, as well as isolation from vaginal and rectal swabs, was not possible in the present study. Isolation through cell culture was also unsuccessful from aborted foetal tissue samples. In conclusion, the results from rELISA and PCR show that C. abortus is present in dairy goat farms in the state of Guanajuato, Mexico.

Effects of the 2003 CAP Reform on Investments of Dutch Dairy Farms Simulations with a Household Production Model

NARCIS (Netherlands)

Peerlings, J.H.M.; Ooms, D.L.

2005-01-01

This paper develops a non-separable household production model capable of analyzing the effects of the 2003 CAP reform, and especially EU farm payments, on individual Dutch dairy farms. Model results show that the 2003 CAP reform farm payments do not fully compensate the income loss caused by the

Search efficiency of Spalangia cameroni and Muscidifurax raptor on Musca domestica pupae in dairy cattle farms in Denmark

DEFF Research Database (Denmark)

Skovgård, Henrik

2006-01-01

significantly to overall parasitism, M. raptor had a significantly higher attack rate when first a female had located bags with sentinel pupae. Based on the above results, however, S. cameroni seems the most appropriate species for managing house flies in straw bedded dairy cattle farms in Denmark. A biological......Indoor releases of Spalangia cameroni Perkins and Muscidifurax raptor Girauelt & Sanders (Hymenoptera: Pteromalidae) were conducted in five organic dairy cattle farms to evaluate the overall effect on parasitism and efficiency at different pupal depths of Musca domestica L. (Diptera: Muscidae...... control strategy of simultaneous releases of S. cameroni and M. raptor is discussed. Key words: biological control, dairy cattle, dispersion, parasitism, Phygadeuon fumat...

Additional costs to Finnish dairy farms due to occupational safety and health

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Tapio Klen

1988-03-01

Full Text Available The additional costs incurred by work safety measures to dairy farms were estimated by interviewing 95 dairy farmers and inspecting with them production buildings, machines and the need for personal protective devices at a commune. The present value of the implemented safety and health improvements rose to FIM 22 000 per farm in 1983. About FIM 17000 were due to the tractors, FIM 3 000 to the cow houses and FIM 2 000 to other machines and tools than tractors. The protective equipment of tractors caused the annual maintenance cost of FIM 4 350 and cow house FIM 650, if the interest rate were 10 %. The annual total cost was over FIM 6 000. The replacement value would have been about FIM 31 000 in 1983. If all deficiences still remaining in 1983 had been corrected at once, the total cost would have been about FIM 12000 per farm, which leads to an annual cost of FIM 3 100. As for still remaining deficiencies, the study suggested need for an annual cost of about FIM 1 500 due to personal protectors. Half of this sum was due to need for the acquisition of personal safety equipment for forest work. Correcting the safety and health deficiencies of the cowshed and agricultural machines would produce each an annual cost of about FIM 800 per farm. The present value of the labor protection investments in 1983 was FIM 22 000 per farm, and there still remained need to invest an additional FIM 12000 in order to eliminate the remaining deficiencies. So, the theoretical total of the annual maintenance cost would have been FIM 6 600—9 200 per farm depending on the interest rate. Because the study concerned only one commune, the results cannot be generalized to the whole country.

Epidemiology of 3rd generation cephalosporin-resistant Escherichia coli on dairy farms

Science.gov (United States)

Dairy cattle have been identified as a reservoir for 3rd generation cephalosporin (3GC)-resistant Escherichia coli. We previously identified 3GC-resistant E. coli from manure composite samples of calves and cows in a survey of 80 farms in Pennsylvania. Resistant strains were most frequently isolated...

Comparison of Greenhouse Gas Emissions between Two Dairy Farm Systems (Conventional vs. Organic Management) in New Hampshire Using the Manure DNDC Biogeochemical Model

Science.gov (United States)

Dorich, C.; Contosta, A.; Li, C.; Brito, A.; Varner, R. K.

2013-12-01

Agriculture contributes 20 to 25 % of the total anthropogenic greenhouse gas (GHG) emissions globally. These agricultural emissions are primarily in the form of methane (CH4) and nitrous oxide (N2O) with these GHG accounting for roughly 40 and 80 % of the total anthropogenic emissions of CH4 and N2O, respectively. Due to varied management and the complexities of agricultural ecosystems, it is difficult to estimate these CH4 and N2O emissions. The IPCC emission factors can be used to yield rough estimates of CH4 and N2O emissions but they are often based on limited data. Accurate modeling validated by measurements is needed in order to identify potential mitigation areas, reduce GHG emissions from agriculture, and improve sustainability of farming practices. The biogeochemical model Manure DNDC was validated using measurements from two dairy farms in New Hampshire, USA in order to quantify GHG emissions under different management systems. One organic and one conventional dairy farm operated by the University of New Hampshire's Agriculture Experiment Station were utilized as the study sites for validation of Manure DNDC. Compilation of management records started in 2011 to provide model inputs. Model results were then compared to field collected samples of soil carbon and nitrogen, above-ground biomass, and GHG fluxes. Fluxes were measured in crop, animal, housing, and waste management sites on the farms in order to examine the entire farm ecosystem and test the validity of the model. Fluxes were measured by static flux chambers, with enteric fermentation measurements being conducted by the SF6 tracer test as well as a new method called Greenfeeder. Our preliminary GHG flux analysis suggests higher emissions than predicted by IPCC emission factors and equations. Results suggest that emissions from manure management is a key concern at the conventional dairy farm while bedded housing at the organic dairy produced large quantities of GHG.

Statistics of LES simulations of large wind farms

DEFF Research Database (Denmark)

Andersen, Søren Juhl; Sørensen, Jens Nørkær; Mikkelsen, Robert Flemming

2016-01-01

. The statistical moments appear to collapse and hence the turbulence inside large wind farms can potentially be scaled accordingly. The thrust coefficient is estimated by two different reference velocities and the generic CT expression by Frandsen. A reference velocity derived from the power production is shown...... to give very good agreement and furthermore enables the very good estimation of the thrust force using only the steady CT-curve, even for very short time samples. Finally, the effective turbulence inside large wind farms and the equivalent loads are examined....

Occurrence, genotyping, shiga toxin genes and associated risk factors of E. coli isolated from dairy farms, handlers and milk consumers.

Science.gov (United States)

Awadallah, M A; Ahmed, H A; Merwad, A M; Selim, M A

2016-11-01

The objectives of the current study were to determine the occurrence and genotypes of E. coli in dairy farms, workers and milk consumers and to evaluate risk factors associated with contamination of milk in dairy farms. Molecular characterization of shiga toxin associated genes and enterobacterial repetitive intergenic consensus-PCR (ERIC-PCR) finger printing of E. coli from different sources were also studied. Paired milk samples and rectal swabs from 125 dairy cows, rectal swabs from 82 calves and hand swabs from 45 dairy workers from five dairy farms were collected. In addition, 100 stool samples from 70 diarrheic and 30 healthy humans were collected and examined for the presence of E. coli. E. coli was isolated from milk (22.4%), dairy cattle feces (33.6%), calf feces (35.4%), dairy worker hand swabs (11.1%) and stools of milk consumers (2%, from diarrheic patients only). Only stx1 was identified in seven of 12 E. coli O125 isolated from different sources. High genetic diversity was determined (Simpson's index of diversity, D = 1) and E. coli O125 isolates were classified into 12 distinct profiles, E1-E12. The dendrogram analysis showed that two main clusters were generated. Mastitis in dairy cows was considered a risk factor associated with contamination of the produced milk with E. coli. The isolation of E. coli from rectal swabs of dairy cows and calves poses a zoonotic risk through consumption of unpasteurized contaminated dairy milk. Educational awareness should be developed to address risks related to consumption of raw milk. Copyright © 2016 Elsevier Ltd. All rights reserved.

Competitiveness of Dairy Farms In Northern Europe: A Cross-Country analysis

Directory of Open Access Journals (Sweden)

Csaba Jansik

2015-10-01

Full Text Available The milk sector has received much attention in Europe due to the abolition of milk quotas in 2015 and its potential effect on the geographical distribution of milk production across countries. As a way of assessing the competitive advantage of Nordic EU countries, we investigated the productivity level and productivity growth of milk farms across eight countries of the Baltic Sea region from 1995 to 2010. We found considerable discrepancy in the productivity performance of dairy farms across countries. TFP growth rates indicate that, at farm level, the competitive positions of the older EU members are stable, and that there is no catching up from the newer EU entrants. We offer explanations for this evolution based on the different patterns of structural change followed by the studied countries.

A regional assessment of the cost and effectiveness of mitigation measures for reducing nutrient losses to water and greenhouse gas emissions to air from pastoral farms.

Science.gov (United States)

Vibart, Ronaldo; Vogeler, Iris; Dennis, Samuel; Kaye-Blake, William; Monaghan, Ross; Burggraaf, Vicki; Beautrais, Josef; Mackay, Alec

2015-06-01

Using a novel approach that links geospatial land resource information with individual farm-scale simulation, we conducted a regional assessment of nitrogen (N) and phosphorous (P) losses to water and greenhouse gas (GHG) emissions to air from the predominant mix of pastoral industries in Southland, New Zealand. An evaluation of the cost-effectiveness of several nutrient loss mitigation strategies applied at the farm-scale, set primarily for reducing N and P losses and grouped by capital cost and potential ease of adoption, followed an initial baseline assessment. Grouped nutrient loss mitigation strategies were applied on an additive basis on the assumption of full adoption, and were broadly identified as 'improved nutrient management' (M1), 'improved animal productivity' (M2), and 'restricted grazing' (M3). Estimated annual nitrate-N leaching losses occurring under representative baseline sheep and beef (cattle) farms, and representative baseline dairy farms for the region were 10 ± 2 and 32 ± 6 kg N/ha (mean ± standard deviation), respectively. Both sheep and beef and dairy farms were responsive to N leaching loss mitigation strategies in M1, at a low cost per kg N-loss mitigated. Only dairy farms were responsive to N leaching loss abatement from adopting M2, at no additional cost per kg N-loss mitigated. Dairy farms were also responsive to N leaching loss abatement from adopting M3, but this reduction came at a greater cost per kg N-loss mitigated. Only dairy farms were responsive to P-loss mitigation strategies, in particular by adopting M1. Only dairy farms were responsive to GHG abatement; greater abatement was achieved by the most intensified dairy farm system simulated. Overall, M1 provided for high levels of regional scale N- and P-loss abatement at a low cost per farm without affecting overall farm production, M2 provided additional N-loss abatement but only marginal P-loss abatement, whereas M3 provided the greatest N-loss abatement, but

Ontology Matching for Big Data Applications in the Smart Dairy Farming Domain.

NARCIS (Netherlands)

Verhoosel, J.P.C.; Bekkum, M.A. van; Evert, F.K. van

2015-01-01

This paper addresses the use of ontologies for combining different sensor data sources to enable big data analysis in the dairy farming domain. We have made existing data sources accessible via linked data RDF mechanisms using OWL ontologies on Virtuoso and D2RQ triple stores. In addition, we have

Seroprevalence and risk factors of Q fever in goats on commercial dairy goat farms in the Netherlands, 2009-2010

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Schimmer Barbara

2011-12-01

Full Text Available Abstract Background The aim of this study was to estimate the seroprevalence of Coxiella burnetii in dairy goat farms in the Netherlands and to identify risk factors for farm and goat seropositivity before mandatory vaccination started. We approached 334 eligible farms with more than 100 goats for serum sampling and a farm questionnaire. Per farm, median 21 goats were sampled. A farm was considered positive when at least one goat tested ELISA positive. Results In total, 2,828 goat serum samples from 123 farms were available. Farm prevalence was 43.1% (95%CI: 34.3%-51.8%. Overall goat seroprevalence was 21.4% (95%CI: 19.9%-22.9% and among the 53 positive farms 46.6% (95%CI: 43.8%-49.3%. Multivariable logistic regression analysis included 96 farms and showed that farm location within 8 kilometres proximity from a bulk milk PCR positive farm, location in a municipality with high cattle density (≥ 100 cattle per square kilometre, controlling nuisance animals through covering airspaces, presence of cats or dogs in the goat stable, straw imported from abroad or unknown origin and a herd size above 800 goats were independent risk factors associated with Q fever on farm level. At animal level almost identical risk factors were found, with use of windbreak curtain and artificial insemination as additional risk factors. Conclusion In 2009-2010, the seroprevalence in dairy goats in the Netherlands increased on animal and farm level compared to a previous study in 2008. Risk factors suggest spread from relatively closely located bulk milk-infected small ruminant farms, next to introduction and spread from companion animals, imported straw and use of artificial insemination. In-depth studies investigating the role of artificial insemination and bedding material are needed, while simultaneously general biosecurity measures should be updated, such as avoiding companion animals and vermin entering the stables, next to advice on farm stable constructions on

Seroprevalence and risk factors of Q fever in goats on commercial dairy goat farms in the Netherlands, 2009-2010

Science.gov (United States)

2011-01-01

Background The aim of this study was to estimate the seroprevalence of Coxiella burnetii in dairy goat farms in the Netherlands and to identify risk factors for farm and goat seropositivity before mandatory vaccination started. We approached 334 eligible farms with more than 100 goats for serum sampling and a farm questionnaire. Per farm, median 21 goats were sampled. A farm was considered positive when at least one goat tested ELISA positive. Results In total, 2,828 goat serum samples from 123 farms were available. Farm prevalence was 43.1% (95%CI: 34.3%-51.8%). Overall goat seroprevalence was 21.4% (95%CI: 19.9%-22.9%) and among the 53 positive farms 46.6% (95%CI: 43.8%-49.3%). Multivariable logistic regression analysis included 96 farms and showed that farm location within 8 kilometres proximity from a bulk milk PCR positive farm, location in a municipality with high cattle density (≥ 100 cattle per square kilometre), controlling nuisance animals through covering airspaces, presence of cats or dogs in the goat stable, straw imported from abroad or unknown origin and a herd size above 800 goats were independent risk factors associated with Q fever on farm level. At animal level almost identical risk factors were found, with use of windbreak curtain and artificial insemination as additional risk factors. Conclusion In 2009-2010, the seroprevalence in dairy goats in the Netherlands increased on animal and farm level compared to a previous study in 2008. Risk factors suggest spread from relatively closely located bulk milk-infected small ruminant farms, next to introduction and spread from companion animals, imported straw and use of artificial insemination. In-depth studies investigating the role of artificial insemination and bedding material are needed, while simultaneously general biosecurity measures should be updated, such as avoiding companion animals and vermin entering the stables, next to advice on farm stable constructions on how to prevent introduction

Seroprevalence and risk factors of Q fever in goats on commercial dairy goat farms in the Netherlands, 2009-2010.

Science.gov (United States)

Schimmer, Barbara; Luttikholt, Saskia; Hautvast, Jeannine L A; Graat, Elisabeth A M; Vellema, Piet; Duynhoven, Yvonne T H P van

2011-12-30

The aim of this study was to estimate the seroprevalence of Coxiella burnetii in dairy goat farms in the Netherlands and to identify risk factors for farm and goat seropositivity before mandatory vaccination started. We approached 334 eligible farms with more than 100 goats for serum sampling and a farm questionnaire. Per farm, median 21 goats were sampled. A farm was considered positive when at least one goat tested ELISA positive. In total, 2,828 goat serum samples from 123 farms were available. Farm prevalence was 43.1% (95%CI: 34.3%-51.8%). Overall goat seroprevalence was 21.4% (95%CI: 19.9%-22.9%) and among the 53 positive farms 46.6% (95%CI: 43.8%-49.3%). Multivariable logistic regression analysis included 96 farms and showed that farm location within 8 kilometres proximity from a bulk milk PCR positive farm, location in a municipality with high cattle density (≥ 100 cattle per square kilometre), controlling nuisance animals through covering airspaces, presence of cats or dogs in the goat stable, straw imported from abroad or unknown origin and a herd size above 800 goats were independent risk factors associated with Q fever on farm level. At animal level almost identical risk factors were found, with use of windbreak curtain and artificial insemination as additional risk factors. In 2009-2010, the seroprevalence in dairy goats in the Netherlands increased on animal and farm level compared to a previous study in 2008. Risk factors suggest spread from relatively closely located bulk milk-infected small ruminant farms, next to introduction and spread from companion animals, imported straw and use of artificial insemination. In-depth studies investigating the role of artificial insemination and bedding material are needed, while simultaneously general biosecurity measures should be updated, such as avoiding companion animals and vermin entering the stables, next to advice on farm stable constructions on how to prevent introduction and minimize airborne

A longitudinal study of Escherichia coli O157 in cattle of a Dutch dairy farm and in the farm environment

NARCIS (Netherlands)

Schouten, J.M.; Graat, E.A.M.; Frankena, K.; Giessen, van de A.W.; Zwaluw, van der W.K.; Jong, de M.C.M.

2005-01-01

From July 1999 till November 2000, a longitudinal study was conducted on a dairy farm in The Netherlands to study within herd prevalence and types of verocytotoxin producing Escherichia coli (VTEC) of serogroup O157 over time, and determine environmental reservoirs and possible transmission routes.

Techno-economical Analysis of Rooftop Grid-connected PV Dairy Farms; Case Study of Urmia University Dairy Farm

Science.gov (United States)

Nikbakht, A. M.; Aste, N.; Sarnavi, H. J.; Leonforte, F.

2017-08-01

The global trends indicate a growing commitment to renewable energy development because of declining fossil fuels and environmental threats. Moreover, the global demographic growth coupled with rising demands for food has escalated the rate of energy consumption in food section. This study aims to investigate the techno-economic impacts of a grid-connected rooftop PV plan applied for a educational dairy farm in Urmia university, with total estimated annual electrical energy consumption of 18,283 kWh, located at the north west part of Iran. Based on the current feed-in tariff and tremendously low electricity price in agriculture section in Iran, the plants with size ranged from 14.4 to 19.7 kWp (initial investment ranged from 26,000 to 36,000 USD) would be satisfied economically.

Sustainability evaluation of automatic and conventional milking systems on organic dairy farms in Denmark

DEFF Research Database (Denmark)

Oudshoorn, Frank W; Kristensen, Troels; van der Zijpp, A J

2012-01-01

Organic dairy farmers in Denmark currently are implementing automatic milking systems (AMS) to save labour costs. As organic agriculture aims at sustainable production, the introduction of a new technology such as AMS should be evaluated regarding its economic viability, environmental impact...... conventional milking systems (CMS). Sustainability indicators were quantified for economic performance of the farm, on-farm eutrophication, on-farm biodiversity, animal welfare (including health), grazing time, milk composition and labour time. Milk yield per cow per year was higher for AMS farms (9021 kg...... was not due to the use of AMS but was caused by a higher export of manure by the CMS farms. The number of veterinary treatments per cow per year was unaffected by AMS use, but culling rate was higher for the AMS farms (38%) than for the CMS farms (32%). There was no difference between the AMS and CMS farms...

Assessing food safety concepts on the dairy farm: the case of chemical hazards

NARCIS (Netherlands)

Valeeva, N.I.; Meuwissen, M.P.M.; Oude Lansink, A.G.J.M.; Bergevoet, R.H.M.; Huirne, R.B.M.

2004-01-01

Adaptive conjoint analysis was used to elicit farmers' and experts' preferences for attributes of improving food safety with respect to chemical hazards on the dairy farm. Groups of respondents were determined by cluster analysis based on similar farmers' and experts' perceptions of food safety

The impact of cooling ponds in North Central Texas on dairy farm performance

NARCIS (Netherlands)

Tomaszewski, M.A.; Haan, de M.H.A.; Thompson, J.A.; Jordan, E.R.

2005-01-01

The objective of this study was to determine whether measurable differences existed between farms with and without cooling ponds. Data from Dairy Herd Improvement records for 1999 through 2002 were obtained on 42 herds located in North Central Texas. Nineteen herds had installed cooling ponds,

[Occurrence of Prototheca mastitis in dairy farms in Hesse].

Science.gov (United States)

Schlenstedt, R; Zschöck, M; Kloppert, B; Wolter, W

1997-08-01

During January 1994 and August 1996 from dairy farms in Hessia a total of 305,609 milk samples were investigated. Prototheca sp. as etiological agent of a mastitis was isolated from milk samples of seven dairy herds. According to our experiences and to several reports from various countries dealing with Prototheca infections in dairy herds, mastitis control programs should include Prototheca algae as potential pathogens. Mastitis due to this organism usually occurs in different semeiologies, one with clinical symptoms, and the other, more common type, as subclinical mastitis. In both cases, Prototheca organisms use to persist in the tissue of the mammary gland also during the dry period and antimicrobial treatment proves to be ineffective. Considering the wide distribution of these algae as saprophytes in the environment and in feces of several domestic animals, predisposing factors like a humid aerobic milieu and unsanitary milking conditions are necessary for Prototheca infections becoming manifest in the udder of dairy cows. Control measures should preferably stress the identification and removal of infected animals, in particular when the disease is sporadic in the herd. Due to the more questionable occurrence of spontaneous healing and the lack of an efficient drug, slaughtering of infected cows appears as a suitable method to eliminate the disease from the herd. Additionally, improvement of the hygiene status concerning feeding and milking management within a herd is as essential as in the control of other opportunistic udder pathogens.

A partial life cycle assessment approach to evaluate the energy intensity and related greenhouse gas emission in dairy farms

Directory of Open Access Journals (Sweden)

Lelia Murgia

2013-09-01

Full Text Available Dairy farming is constantly evolving towards more intensive levels of mechanization and automation which demand more energy consumption and result in higher economic and environmental costs. The usage of fossil energy in agricultural processes contributes to climate change both with on-farm emissions from the combustion of fuels, and by off-farm emissions due to the use of grid power. As a consequence, a more efficient use of fossil resources together with an increased use of renewable energies can play a key role for the development of more sustainable production systems. The aims of this study were to evaluate the energy requirements (fuels and electricity in dairy farms, define the distribution of the energy demands among the different farm operations, identify the critical point of the process and estimate the amount of CO2 associated with the energy consumption. The inventory of the energy uses has been outlined by a partial Life Cycle Assessment (LCA approach, setting the system boundaries at the farm level, from cradle to farm gate. All the flows of materials and energy associated to milk production process, including crops cultivation for fodder production, were investigated in 20 dairy commercial farms over a period of one year. Self-produced energy from renewable sources was also accounted as it influence the overall balance of emissions. Data analysis was focused on the calculation of energy and environmental sustainability indicators (EUI, CO2-eq referred to the functional units. The production of 1 kg of Fat and Protein Corrected Milk (FPCM required on average 0.044 kWhel and 0.251 kWhth, corresponding to a total emission of 0.085 kg CO2-eq. The farm activities that contribute most to the electricity requirements were milk cooling, milking and slurry management, while feeding management and crop cultivation were the greatest diesel fuel consuming operation and the largest in terms of environmental impact of milk production (73% of

Perspectives for manure digestion in Dutch dairy cow and pig farms

International Nuclear Information System (INIS)

Van Dooren, H.J.C.; Van Lent, A.J.H.

2001-01-01

At the Research Institute for Animal Husbandry (PV) a desk study has been conducted on the feasibility of anaerobic manure digestion for individual Dutch dairy and pig farms, based on data from the literature, from internet and from contacting experts in the Netherlands and abroad. PV carried out a preliminary study back in 1997, during which a model was developed for calculating the economic impact of manure digestion for various farm scenarios. In the latest study new information was incorporated into the model. The improved model can do calculations for pig farms and can calculate environmental impacts. The calculations assume the total energy from biogas produced by the digestion is used to generate electricity. The investment in the unit must be recouped from the savings made on purchasing electricity and natural gas, and by supplying electricity to the grid [nl

Prevalence, virulence factor genes and antibiotic resistance of Bacillus cereus sensu lato isolated from dairy farms and traditional dairy products

DEFF Research Database (Denmark)

Owusu-Kwarteng, James; Wuni, Alhassan; Akabanda, Fortune

2017-01-01

of B. cereus sensu lato isolated from cattle grazing soils and dairy products in Ghana. A total of 114 samples made up of 25 soil collected from cattle grazing farm land, 30 raw milk, 28 nunu (yoghurt-like product) and 31 woagashie (West African soft cheese). Ninety-six B. cereus sensu lato isolates......%), oxacillin (92%), penicillin (100%), amoxicillin (100%), and cefepime (100%) but susceptible to other antibiotics tested. Conclusions: Bacillus cereus s. l. is prevalent in soil, raw milk and dairy products in Ghana. However, loads are at levels considered to be safe for consumption. Various enterotoxin...

Influence of distance to urban markets on smallholder dairy farming systems in Kenya

OpenAIRE

Migose, S.A.; Bebe, B.O.; Boer, de, I.J.M.; Oosting, S.J.

2018-01-01

We studied influence of distance to urban markets on smallholder dairy farming system development. Farms were chosen from three locations that varied in distance to the urban market of Nakuru Town in the Kenyan highlands: urban location (UL, n = 10) at less than 15 km distance, mid-rural location (MRL, n = 11) in between 20 and 50 km west of Nakuru and extreme rural location (ERL, n = 9) beyond 50 km west and south-west of Nakuru. In-depth interviews with farmers and focus group discussions w...

The consequences of noise-induced hearing loss on dairy farm communities in New Zealand.

Science.gov (United States)

Canton, Karen; Williams, Warwick

2012-01-01

The objective of this study was to investigate how noise-induced hearing loss (NIHL) or noise injury (NI) affects individuals and others of dairy farm communities in New Zealand. Using "grab" or opportunistic sampling at DairyNZ discussion groups and a recreational function, a survey questionnaire was completed by 74 participants from two dairy farming communities in New Zealand. Self-reported hearing difficulties were highlighted by 48% (42) of the 74 participants. The effects of NI on individuals and others included communication difficulties leading to the development of coping strategies, social isolation; decreased employment opportunities, loss of productivity, and increased effort and adjustments by family and work colleagues. Frustration, anxiety, stress, resentment, depression, and fatigue are also negative consequences that may contribute to a loss of quality of life and contribute to further health costs. Increased lateness, absenteeism, sickness and other behavioral aspects were not expressed as normal issues in the workplace, as the majority of the individuals are/were self-employed or working in a family business. This study shows that each year in New Zealand NI results in significant negative social, psychological, and economic consequences for those individuals affected, along with their families, friends, and work colleagues.

Fresh-cow handling practices and methods for identification of health disorders on 45 dairy farms in California.

Science.gov (United States)

Espadamala, A; Pallarés, P; Lago, A; Silva-Del-Río, N

2016-11-01

The aim of the present study was to describe fresh-cow handling practices and techniques used during fresh cow evaluations to identify postpartum health disorders on 45 dairy farms in California ranging from 450 to 9,500 cows. Fresh cow practices were surveyed regarding (a) grouping and housing, (b) scheduling and work organization, (c) screening for health disorders, and (d) physical examination methods. Information was collected based on cow-side observations and responses from fresh cow evaluators. Cows were housed in the fresh cow pen for 3 to 14 (20%), 15 to 30 (49%), or >31 (31%) d in milk. Fresh cow evaluations were performed daily (78%), 6 times a week (11%), 2 to 5 times a week (9%), or were not routinely performed (2%). There was significant correlation between the duration of fresh cow evaluations and the number of cows housed in the fresh pen. Across all farms, the duration of evaluations ranged from 5 to 240 min, with an average of 16 s spent per cow. During fresh cow checks, evaluators always looked for abnormal vaginal discharge, retained fetal membranes, and down cows. Dairies evaluated appetite based on rumen fill (11%), reduction of feed in the feed bunk (20%), rumination sensors (2%), or a combination of these (29%). Milk yield was evaluated based on udder fill at fresh cow checks (40%), milk flow during milking (11%), milk yield records collected by milk meters (2%), or a combination of udder fill and milk meters (5%). Depressed attitude was evaluated on 64% of the dairies. Health-monitoring exams for early detection of metritis were implemented on 42% of the dairies based on rectal examination (13%), rectal temperature (22%), or both (7%). Dairies implementing health-monitoring exams took longer to perform fresh cow evaluations. Physical examination methods such as rectal examination, auscultation, rectal temperature evaluation, and cow-side ketosis tests were used on 76, 67, 38, and 9% of dairies, respectively. Across dairies, we found large

Environmental occurrence and shallow ground water detection of the antibiotic monensin from dairy farms

Science.gov (United States)

Watanabe, N.; Harter, T.H.; Bergamaschi, B.A.

2008-01-01

Pharmaceuticals used in animal feeding operations have been detected in various environmental settings. There is a growing concern about the impact on terrestrial and aquatic organisms and the development of antibiotic-resistant strains of microorganisms. Pharmaceutical use in milking cows is relatively limited compared with other livestock operations, except for the ionophore monensin, which is given to lactating cows as a feed. By weight, monensin can be the most significant antibiotic used in a dairy farm. This study investigates the potential of monensin to move from dairy operations into the surrounding ground water. Using two dairy farms in California as study sites, we twice collected samples along the environmental pathway-from flush lanes, lagoon waters, and shallow ground water beneath the dairies and beneath its associated manured fields. Monensin concentrations were determined using solid-phase extraction and liquid chromatography-tandem mass spectrometry with positive electrospray ionization. Monensin was detected in all of the flush lane and lagoon water samples. Theoretical maximum concentration estimated from the actual dosing rate and the theoretical excretion rate assuming no attenuation was one order of magnitude greater than observed concentrations, suggesting significant attenuation in the manure collection and storage system. Monensin was also detected, at levels ranging from 0.04 to 0.39 microg L(-1), in some of the ground water samples underneath the production area of the dairy but not from the adjacent manured fields. Concentrations in ground water immediately downgradient of the lagoons were one to two orders of magnitude lower than the concentrations detected in lagoons, suggesting attenuation in the subsurface. The data suggest the possibility of monensin transport into shallow (2-5 m) alluvial ground water from dairy management units, including manure storage lagoons and freestalls occupied by heifers, lactating cows, and dry cows.

A participatory approach to design monitoring indicators of production diseases in organic dairy farms.

Science.gov (United States)

Duval, J E; Fourichon, C; Madouasse, A; Sjöström, K; Emanuelson, U; Bareille, N

2016-06-01

Production diseases have an important negative effect on the health and welfare of dairy cows. Although organic animal production systems aim for high animal health levels, compliance with European organic farming regulations does not guarantee that this is achieved. Herd health and production management (HHPM) programs aim at optimizing herd health by preventing disease and production problems, but as yet they have not been consistently implemented by farmers. We hypothesize that one reason is the mismatch between what scientists propose as indicators for herd health monitoring and what farmers would like to use. Herd health monitoring is a key element in HHPM programs as it permits a regular assessment of the functioning of the different components of the production process. Planned observations or measurements of these components are indispensable for this monitoring. In this study, a participatory approach was used to create an environment in which farmers could adapt the indicators proposed by scientists for monitoring the five main production diseases on dairy cattle farms. The adaptations of the indicators were characterized and the farmers' explanations for the changes made were described. The study was conducted in France and Sweden, which differ in terms of their national organic regulations and existing advisory services. In both countries, twenty certified organic dairy farmers and their animal health management advisors participated in the study. All of the farmers adapted the initial monitoring plan proposed by scientists to specific production and animal health situation on their farm. This resulted in forty unique and farm-specific combinations of indicators for herd health monitoring. All but three farmers intended to monitor five health topics simultaneously using the constructed indicators. The qualitative analysis of the explanations given by farmers for their choices enabled an understanding of farmers' reasons for selecting and adapting

Survey on animal welfare in nine hundred and forty three Italian dairy farms

Directory of Open Access Journals (Sweden)

Angelo Peli

2016-03-01

Full Text Available The final results of a survey on welfare of dairy cows in 7 Italian Regions are presented. The study has been performed on 943 farms in southern and central Italy to highlight critical and strong points concerning animal welfare in dairy systems, by using direct and indirect criteria. To assess animal welfare, a checklist based on 303 parameters has been used; indirect criteria have been organised in 5 general areas concerning Farm management, Farming and housing systems, Environment, Feeding, Health and hygiene; other resource-based criteria were considered in 5 specific areas for the different productive categories (lactating cows, dry cows, pregnant heifers, cows comeback, calves up to 8 weeks and calves between 8 weeks and 6 months; finally, an Indicators section focused on animal based criteria. Parameters have been valued as conforming or not conforming on the basis of the current lesgislation on animal welfare, and in the other cases by the use of a semi-quantitative scale such as poor, satisfactory, good or very good referring to scientific literature and reports by the Animal Health and Animal Welfare panel of the European Food Safety Authority. Among the 249 examined parameters (54 criteria have been valued as descriptive, 15 showed a failure prevalence inferior to 1%; for the remaining parameters, the overall non-compliance prevalence on the whole sample ranged from a maximum of 67% to a minimum of 2%, showing an inverse proportionality correlation with the herd size. One hundred and ten parameters were judged as poor (96 or not in compliance with the rules in force (14 in more than 10% of the examined herds. The most common non-compliance aspects detected in the different areas concern calves management, staff training and prophylaxis programmes; staff training levels were inversely related to failure prevalences in almost all areas. The combination of direct and indirect criteria has allowed to fully embrace recommendations on the

Farm-level risk factors for Fasciola hepatica infection in Danish dairy cattle as evaluated by two diagnostic methods

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Nao Takeuchi-Storm

2017-11-01

Full Text Available Abstract Background The prevalence of bovine fasciolosis in Denmark is increasing but appropriate guidelines for control are currently lacking. In order to help develop a control strategy for liver fluke, a risk factor study of farm management factors was conducted and the utility of bulk tank milk (BTM ELISA as a tool for diagnosis in Danish dairy cattle farms was assessed. Methods This case-control study aimed to identify farm-level risk factors for fasciolosis in Danish dairy farms (> 50 animals slaughtered in 2013 using two diagnostic methods: recordings of liver condemnation at slaughter, and farm-level Fasciola hepatica antibody levels in BTM. A case farm was defined as having a minimum of 3 incidents of liver condemnation due to liver fluke at slaughter (in any age group during 2013, and control farms were located within 10 km of at least one case farm and had no history of liver condemnation due to liver fluke during 2011–2013. The selected farmers were interviewed over telephone about grazing and control practices, and BTM from these farms was collected and analysed by ELISA in 2014. The final complete dataset consisting of 131 case and 63 control farms was analysed using logistic regression. Results Heifers grazing on wet pastures, dry cows grazing on wet pastures, herd size, breed and concurrent beef cattle production were identified as risk factors associated with being classified as a case farm. With the categorised BTM ELISA result as the response variable, heifers grazing on wet pastures, dry cows grazing on wet pastures, and purchase of cows were identified as risk factors. Within the case and control groups, 74.8 and 12.7% of farms were positive for fasciolosis on BTM ELISA, respectively. The differences are likely to be related to the detection limit of the farm-level prevalence by the BTM ELISA test, time span between slaughter data and BTM, and the relatively low sensitivity of liver inspection at slaughter. Conclusions

Farm-level risk factors for Fasciola hepatica infection in Danish dairy cattle as evaluated by two diagnostic methods.

Science.gov (United States)

Takeuchi-Storm, Nao; Denwood, Matthew; Hansen, Tina Vicky Alstrup; Halasa, Tariq; Rattenborg, Erik; Boes, Jaap; Enemark, Heidi Larsen; Thamsborg, Stig Milan

2017-11-09

The prevalence of bovine fasciolosis in Denmark is increasing but appropriate guidelines for control are currently lacking. In order to help develop a control strategy for liver fluke, a risk factor study of farm management factors was conducted and the utility of bulk tank milk (BTM ELISA) as a tool for diagnosis in Danish dairy cattle farms was assessed. This case-control study aimed to identify farm-level risk factors for fasciolosis in Danish dairy farms (> 50 animals slaughtered in 2013) using two diagnostic methods: recordings of liver condemnation at slaughter, and farm-level Fasciola hepatica antibody levels in BTM. A case farm was defined as having a minimum of 3 incidents of liver condemnation due to liver fluke at slaughter (in any age group) during 2013, and control farms were located within 10 km of at least one case farm and had no history of liver condemnation due to liver fluke during 2011-2013. The selected farmers were interviewed over telephone about grazing and control practices, and BTM from these farms was collected and analysed by ELISA in 2014. The final complete dataset consisting of 131 case and 63 control farms was analysed using logistic regression. Heifers grazing on wet pastures, dry cows grazing on wet pastures, herd size, breed and concurrent beef cattle production were identified as risk factors associated with being classified as a case farm. With the categorised BTM ELISA result as the response variable, heifers grazing on wet pastures, dry cows grazing on wet pastures, and purchase of cows were identified as risk factors. Within the case and control groups, 74.8 and 12.7% of farms were positive for fasciolosis on BTM ELISA, respectively. The differences are likely to be related to the detection limit of the farm-level prevalence by the BTM ELISA test, time span between slaughter data and BTM, and the relatively low sensitivity of liver inspection at slaughter. Control of bovine fasciolosis in Denmark should target heifers and

Detection of Escherichia coli from the udder of the dairy farm buffaloes in Phagwara region, Punjab, India

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Rajdeep Palaha

Full Text Available Aim: To know the presence of Escherichia coli on the udder skin of the dairy farm buffaloes in the Phagwara region, Punjab, India. Materials and Methods: A total of 135 swabbed samples were collected randomly from the udder of buffaloes in ten dairy farms over the period of three months from August to October 2011 without concern to their breed with the prior approval of the farm owners. The sterilized cotton swabs were examined by Gram's staining for the morphology of the culture, culture characteristics was confirmed by growth on different media and by preforming the different biochemical tests like Indole production, Voges- Proskauer test, Urease Production, Nitrate Reduction, Methyl red and Presumptive test. Results: Out of 135 samples were examined, 23(17.03% were positive for E. coli. Most Probable Number (MPN results confirmed the one possibility of the bacteria from the contaminated water. Conclusion: The results of the present study suggest that E. coli isolates are present on the udder skin of the dairy farm buffaloes in the Phagwara region, pose a serious threat to the animal as well as consumer health. Thus, more hygienic preventive measures are required to inhibit the bacterial growth, so as to improve the health of the animals as well as the wholesomeness of the milk. [Vet World 2012; 5(9.000: 522-525

Farm-specific economic value of automatic lameness detection systems in dairy cattle: From concepts to operational simulations.

Science.gov (United States)

Van De Gucht, Tim; Saeys, Wouter; Van Meensel, Jef; Van Nuffel, Annelies; Vangeyte, Jurgen; Lauwers, Ludwig

2018-01-01

Although prototypes of automatic lameness detection systems for dairy cattle exist, information about their economic value is lacking. In this paper, a conceptual and operational framework for simulating the farm-specific economic value of automatic lameness detection systems was developed and tested on 4 system types: walkover pressure plates, walkover pressure mats, camera systems, and accelerometers. The conceptual framework maps essential factors that determine economic value (e.g., lameness prevalence, incidence and duration, lameness costs, detection performance, and their relationships). The operational simulation model links treatment costs and avoided losses with detection results and farm-specific information, such as herd size and lameness status. Results show that detection performance, herd size, discount rate, and system lifespan have a large influence on economic value. In addition, lameness prevalence influences the economic value, stressing the importance of an adequate prior estimation of the on-farm prevalence. The simulations provide first estimates for the upper limits for purchase prices of automatic detection systems. The framework allowed for identification of knowledge gaps obstructing more accurate economic value estimation. These include insights in cost reductions due to early detection and treatment, and links between specific lameness causes and their related losses. Because this model provides insight in the trade-offs between automatic detection systems' performance and investment price, it is a valuable tool to guide future research and developments. Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Smart Dairy Farming in practice : design requirements for user-friendly data based services

NARCIS (Netherlands)

Weerdt, C.A. van der; Kort, J.; Boer, J. de; Paradies, G.L.

2016-01-01

Key for precision dairy farming is the management of different kinds of (sensor) data from multiple sources and its disclosure to users. The data can be used to implement services that support farmers to care for individual animals and work more effectively. Naturally, these services need to provide

Impacts of Nutrition and Feeding Programs on Farmers’ Management Decisions Affecting the Success of Dairy Farms with Culture Breed Cattle

OpenAIRE

Yavuz Topcu; Mehmet Toparlak; Muhlis Macit

2016-01-01

The aim of the study is to evaluate all the factors determining the milk production and yield decisions with regard to the nutrition and feeding programs affecting the integrated management strategies on the success of the dairy farms with culture breed cattle under the pasture-based and indoor barn-based production systems. For these aims, data obtained from the individual interviews conducted at the dairy farms with 100 culture breed cattle were used for Principal Component and Multiple Reg...

Design and Simulation of Dairy Farm Photovoltaic System for a Rural Area in Tlemcen, Algeria

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Soufi Aicha

2016-07-01

Full Text Available The use of renewable energy in agriculture is a research knows that considerable development in the last decade. In this paper we scrutinized optimal sizing of solar array and battery in a stand-alone photovoltaic (SPV system to provide the required electricity for a dairy cow farm located in Terny Beni hdiel in Tlemcen, Algeria. Solar radiation data measured in an hourly time-series format are used based on 22 years. Average between 1983 and 2005. The PVSYST software tool was used for simulation of the system. The study is addressed to loads in the small dairy farm with energy consumption levels of around 121 kWh per day. The stand-alone PV system consists of a Solar panel, DC-DC Converter, Maximum Power Point Tracker, DC/AC Inverter, and Battery.

Agro-ecological indicators (AEIs) for dairy and mixed farming systems classification: Identifying alternatives for the Cuban livestock sector

NARCIS (Netherlands)

Funes Monzote, F.R.; Monzote, M.; Lantinga, E.A.; Braak, ter C.J.F.; Sánchez, J.E.; Keulen, van H.

2009-01-01

Attainment of acceptable levels of land and labor productivity and low external input use is not a mutually exclusive proposition. This study examines characteristics of a range of current specialized dairy farming systems (DFS) and mixed (crop-livestock) farming systems (MFS) in Cuba to determine

Evaluating the effect of Focus Farms on Ontario dairy producers' knowledge, attitudes, and behavior toward control of Johne's disease.

Science.gov (United States)

Roche, S M; Jones-Bitton, A; Meehan, M; Von Massow, M; Kelton, D F

2015-08-01

This study evaluated a participatory-based, experiential learning program, Ontario Focus Farms (FF), which aimed to change dairy producer behavior to control Johne's disease (JD) in Ontario, Canada. The goals were to (1) assess the effect of FF on participating dairy producers' knowledge, attitudes, and behavior with regard to JD control; (2) compare changes in these factors among FF participants to changes among a group of nonparticipating dairy producers; and (3) describe the characteristics of producers who made at least one on-farm management change. Pre- and post-FF intervention questionnaires collected data on respondents' knowledge, attitudes, behavior, herd production, and demographic information; before and after JD-risk assessments were used to assess respondents' on-farm risk of JD transmission. Overall, 176 dairy producers participated in the FF process; 39.8% (70/176) of FF and 14.6% (52/357) of control participants responded to both the pre- and postintervention questionnaires. Upon comparison, FF respondents were more likely to be younger, have larger herds, and have higher management scores. The proportion of FF participants who reported making at least one on-farm change (81%) was significantly higher than that of control respondents (38%). Overall, FF respondents significantly changed their risk score in 4 out of 5 risk areas and had an average reduction of 13 points in their overall risk score between before and after risk assessments. Control respondents' risk assessment scores did not significantly change during the study period. In a JD knowledge assessment, FF and control respondents exhibited a moderate knowledge score before the intervention period, with median scores of 75.9% (22/29) in each group. The FF respondents significantly increased their score at the postintervention assessment, with a median of 82.8% (24/29); control-respondent scores did not significantly change. Both FF and control respondents held strong positive attitudes

A New Strategy for Utilizing Rice Forage Production Using a No-Tillage System to Enhance the Self-Sufficient Feed Ratio of Small Scale Dairy Farming in Japan

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Windi Al Zahra

2014-08-01

Full Text Available Rice forage systems can increase the land use efficiency in paddy fields, improve the self-sufficient feed ratio, and provide environmental benefits for agro-ecosystems. This system often decreased economic benefits compared with those through imported commercial forage feed, particularly in Japan. We observed the productivities of winter forage after rice harvest between conventional tillage (CT and no-tillage (NT in a field experiment. An on-farm evaluation was performed to determine the self-sufficient ratio of feed and forage production costs based on farm evaluation of the dairy farmer and the rice grower, who adopted a rice forage system. The field experiment detected no significant difference in forage production and quality between CT and NT after rice harvest. However, the production cost was dramatically decreased by 28.1% in NT compared with CT. The self-sufficient ratio was 5.4% higher when dairy farmers adopted the rice forage system compared with those using the current management system. Therefore, this study demonstrated the positive benefits for dairy farmers and rice growers in Japan when adopting a rice forage system with NT, which could improve the self-sufficient feed ratio and reduce production costs.

A stochastic analysis of the impact of input parameters on profit of Australian pasture-based dairy farms under variable carbon price scenarios

International Nuclear Information System (INIS)

Özkan, Şeyda; Farquharson, Robert J.; Hill, Julian; Malcolm, Bill

2015-01-01

Highlights: • Two different pasture-based dairy feeding systems were evaluated. • The home-grown forage system outperformed the traditional pasture-based system. • Probability of achieving $200,000 income was reduced by imposition of a carbon tax. • Different farming systems will respond to change differently. • The ‘best choice’ for each individual farm is subjective. - Abstract: The imposition of a carbon tax in the economy will have indirect impacts on dairy farmers in Australia. Although there is a great deal of information available regarding mitigation strategies both in Australia and internationally, there seems to be a lack of research investigating the variable prices of carbon-based emissions on dairy farm operating profits in Australia. In this study, a stochastic analysis comparing the uncertainty in income in response to different prices on carbon-based emissions was conducted. The impact of variability in pasture consumption and variable prices of concentrates and hay on farm profitability was also investigated. The two different feeding systems examined were a ryegrass pasture-based system (RM) and a complementary forage-based system (CF). Imposing a carbon price ($20–$60) and not changing the systems reduced the farm operating profits by 28.4% and 25.6% in the RM and CF systems, respectively compared to a scenario where no carbon price was imposed. Different farming businesses will respond to variability in the rapidly changing operating environment such as fluctuations in pasture availability, price of purchased feeds and price of milk or carbon emissions differently. Further, in case there is a carbon price imposed for GHG emissions emanated from dairy farming systems, changing from pasture-based to more complex feeding systems incorporating home-grown double crops may reduce the reductions in farm operating profits. There is opportunity for future studies to focus on the impacts of different mitigation strategies and policy

Veterinary herd health management-Experience among farmers and farm managers in Swedish dairy production.

Science.gov (United States)

Svensson, C; Alvåsen, K; Eldh, A C; Frössling, J; Lomander, H

2018-07-01

A preventive herd health approach will most likely reduce incidences of clinical and subclinical disease. Swedish veterinary organizations offer specific veterinary herd health management (HHM) programs, but these services are not used to a large extent. The aim of this study was to investigate dairy farmers' experience of HHM and the conditions for collaboration with veterinarians in HHM. Six focus group discussions were conducted in March 2015 in West Sweden. In total, 33 dairy farmers participated. The recordings were transcribed and coded using thematic analysis, and the transcripts were reviewed to identify potential factors indicating barriers for farmers to engage a veterinarian in HHM. The participants reported HHM to be important, but they had difficulty defining the actions included in the concept. They described a wide range of their work duties as preventive. The farmers' list of potential contributions by the veterinarians in HHM was strikingly short compared to the considerable number of preventive measures they performed themselves. Four main obstacles for farmers and farm managers to engage a veterinarian in HHM on their farm were identified in the analysis: "costs", "veterinary knowledge, skills, and organization", "farmer attitudes", and "veterinarian-farmer relationships". Costs were proposed as the main reason against engaging a veterinarian in HHM and included a high veterinary bill, low cost-benefit of veterinary services, and high costs to implement advice. Poor veterinary competence in HHM and poor knowledge about effective measures, practical farming, and farm economics were other important obstacles. Veterinarians were perceived to insufficiently describe their services and their benefits, and several participants felt they had never been offered veterinary HHM. Although veterinary HHM may be initiated by the farmer, the participants expected the veterinarian to have special responsibility for the initiation. A firm trust between farmer

Wake characteristics of wind turbines in utility-scale wind farms

Science.gov (United States)

Yang, Xiaolei; Foti, Daniel; Sotiropoulos, Fotis

2017-11-01

The dynamics of turbine wakes is affected by turbine operating conditions, ambient atmospheric turbulent flows, and wakes from upwind turbines. Investigations of the wake from a single turbine have been extensively carried out in the literature. Studies on the wake dynamics in utility-scale wind farms are relatively limited. In this work, we employ large-eddy simulation with an actuator surface or actuator line model for turbine blades to investigate the wake dynamics in utility-scale wind farms. Simulations of three wind farms, i.e., the Horns Rev wind farm in Denmark, Pleasant Valley wind farm in Minnesota, and the Vantage wind farm in Washington are carried out. The computed power shows a good agreement with measurements. Analysis of the wake dynamics in the three wind farms is underway and will be presented in the conference. This work was support by Xcel Energy (RD4-13). The computational resources were provided by National Renewable Energy Laboratory.

Management and use of dairy cattle feed resources on smallholder certified organic pineapple farms in Central Uganda

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Muhammad Kiggundu

2014-12-01

Full Text Available Formulation of exclusively organic diets that meet maintenance and production requirements of dairy cattle is a major limitation to production of premium organic products of animal origin. This study was therefore carried out to assess the use and availability of feed resources and the coping strategies used by farmers to overcome dry season feed shortages on 64 smallholder certified organic pineapple farms. Data was collected using semi-structured questionnaires and two focus group discussions. Majority of households were headed by males (62.9% while average age of respondents was 42.5 years. Farmers allocated more land (P<0.05 to organic pineapple production compared to livestock. Beside dairy cattle, farmers also kept chickens, goats and pigs. Tethering was the commonest cattle management system. Fifty three percent of respondents reported using both natural pastures and crop residues as major dairy cattle feed resources while only 19% reported using elephant grass. Banana peels (25.1% and sweet potato vines (24.7% were the most important crop residues fed to cattle. Farmers reported high cost of concentrates and scarcity of feeds as their biggest challenges in dairy cattle production. Of the respondents, 51.4% conserved feed for their cattle as fodder banks. As a coping strategy to feed shortages, majority (42.9% of farmer scavenged for feed resources from both organic certified and nonorganic neighbouring farms which is contrary to organic livestock farming standards. It was, therefore, concluded that management of livestock feeding in the study area fell short of the requirements for organic livestock feeding standards. Research to develop strategies that can use alternative on-farm feed resources through ensiling organic pineapple wastes during the dry season is recommended as a long term strategy to address feed challenges for organic livestock farmers.

Integrated impact assessment of climate and socio-economic change on dairy farms in a watershed in the Netherlands

NARCIS (Netherlands)

Paas, Wim; Kanellopoulos, Argyris; Ven, van de Gerrie; Reidsma, Pytrik

2016-01-01

Climate and socio-economic change will affect the land use and the economic viability of Dutch dairy farms. Explorations of future scenarios, which include different drivers and impacts, are needed to perform ex-ante policy assessment. This study uses a bio-economic farm model to assess impacts

Associations between cow hygiene, hock injuries, and free stall usage on US dairy farms.

Science.gov (United States)

Lombard, J E; Tucker, C B; von Keyserlingk, M A G; Kopral, C A; Weary, D M

2010-10-01

This cross-sectional study evaluated cow comfort measures in free stall dairies across the United States as part of the National Animal Health Monitoring System's Dairy 2007 study. The study was conducted in 17 states and evaluations were completed between March 5 and September 5, 2007. Assessors recorded hygiene and hock scores, number of cows housed in the pen, the number of cows standing with only the front feet in a stall, standing fully in a stall, and lying in a stall. Facility design measures included bedding type, bedding quantity, stall length and width, presence of a neck rail or brisket locator, and relevant distances from the rear and bed of the stall. Of the 491 operations that completed the cow comfort assessment, 297 had Holstein cows housed in free stalls and were included in this analysis. Negative binomial models were constructed to evaluate the following outcomes: the number of cows that were very dirty, had severe hock injuries, stood with front feet in the stall, stood with all feet in the stall, and were lying in the stall. Hygiene was better on farms that did not tail dock cows compared with those that did (5.7 vs. 8.8% were dirty) and on farms located in the study's west region compared with those located in the east region (5.2 vs. 9.7% were dirty). Severe hock injuries were less common on farms in the west than those in the east (0.5 vs. 4.1%). In addition, severe hock injuries were less common on farms that used dirt as a stall base or sand as bedding compared with farms that did not. A higher percentage of cows was standing with front feet in the stall at higher ambient temperatures (incidence rate ratio=1.016) and as time since feeding increased (incidence rate ratio=1.030). A lower percentage of cows were standing with front feet in the stall when the stalls were shorter and when there were fewer cows per stall. Standing fully in a stall was performed by a higher percentage of cows during the summer than during the spring (13.6 vs. 8

Guiding commercial pilot farms to bridge the gap between experimental and commercial farms; the project 'Cows & Opportunities'

NARCIS (Netherlands)

Oenema, J.; Koskamp, G.J.; Galama, P.J.

2001-01-01

In the Netherlands there is a remarkable difference in environmental performance between the average commercial dairy farm and some experimental dairy farms. Despite 15 years of policies and measures to decrease nutrient losses, experimental dairy farms based on careful nutrient management, like 'De

Important vectors for Listeria monocytogenes transmission at farm dairies manufacturing fresh sheep and goat cheese from raw milk.

Science.gov (United States)

Schoder, Dagmar; Melzner, Daniela; Schmalwieser, Alois; Zangana, Abdoulla; Winter, Petra; Wagner, Martin

2011-06-01

The aim of this study was to determine the transmission routs of Listeria spp. in dairy farms manufacturing fresh cheese made from ovine and caprine raw milk and to evaluate the impact of Listeria monocytogenes mastitis on raw milk contamination. Overall, 5,799 samples, including 835 environmental samples, 230 milk and milk product samples, and 4,734 aseptic half-udder foremilk samples were collected from 53 dairy farms in the dairy intensive area of Lower Austria. Farms were selected for the study because raw milk was processed to cheese that was sold directly to consumers. A total of 153 samples were positive for Listeria spp., yielding an overall prevalence of 2.6%; L. monocytogenes was found in 0.9% of the samples. Bulk tank milk, cheese, and half-udder samples were negative for Listeria spp. Because none of the sheep and goats tested positive from udder samples, L. monocytogenes mastitis was excluded as a significant source of raw milk contamination. L. monocytogenes was detected at 30.2% of all inspected farms. Swab samples from working boots and fecal samples had a significantly higher overall prevalence (P < 0.001) of L. monocytogenes (15.7 and 13.0%, respectively) than did swab samples from the milk processing environment (7.9%). A significant correlation was found between the prevalence of L. monocytogenes in the animal and in the milk processing environment and the silage feeding practices. Isolation of L. monocytogenes was three to seven times more likely from farms where silage was fed to animals throughout the year than from farms where silage was not fed to the animals.

Management, nutrition, and lactation performance are related to bulk tank milk de novo fatty acid concentration on northeastern US dairy farms.

Science.gov (United States)

Woolpert, M E; Dann, H M; Cotanch, K W; Melilli, C; Chase, L E; Grant, R J; Barbano, D M

2016-10-01

This study investigated the relationship of management practices, dietary characteristics, milk composition, and lactation performance with de novo fatty acid (FA) concentration in bulk tank milk from commercial dairy farms with Holstein, Jersey, and mixed-breed cows. It was hypothesized that farms with higher de novo milk FA concentrations would more commonly use management and nutrition practices known to optimize ruminal conditions that enhance de novo synthesis of milk FA. Farms (n=44) located in Vermont and northeastern New York were selected based on a history of high de novo (HDN; 26.18±0.94g/100g of FA; mean ± standard deviation) or low de novo (LDN; 24.19±1.22g/100g of FA) FA in bulk tank milk. Management practices were assessed during one visit to each farm in March or April, 2014. Total mixed ration samples were collected and analyzed for chemical composition using near infrared spectroscopy. We found no differences in days in milk at the farm level. Yield of milk fat, true protein, and de novo FA per cow per day were higher for HDN versus LDN farms. The HDN farms had lower freestall stocking density (cows/stall) than LDN farms. Additionally, tiestall feeding frequency was higher for HDN than LDN farms. No differences between HDN and LDN farms were detected for dietary dry matter, crude protein, neutral detergent fiber, starch, or percentage of forage in the diet. However, dietary ether extract was lower for HDN than LDN farms. This research indicates that overcrowded freestalls, reduced feeding frequency, and greater dietary ether extract content are associated with lower de novo FA synthesis and reduced milk fat and true protein yields on commercial dairy farms. Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Farm business and operator variables associated with bulk tank somatic cell count from dairy herds in the southeastern United States.

Science.gov (United States)

DeLong, Karen L; Lambert, Dayton M; Schexnayder, Susan; Krawczel, Peter; Fly, Mark; Garkovich, Lorraine; Oliver, Steve

2017-11-01

Mastitis is a worldwide problem in dairy cows and results in reduced milk production, the culling of cows, and other economic losses. Bulk tank somatic cell count (BTSCC) over 200,000 cells/mL often indicates underlying subclinical mastitis in dairy herds. Several preventative measures that can be implemented to help improve the incidence of mastitis exist, but surveys find these practices not fully adopted by producers. The goal of this research was to analyze the farm and operator characteristics associated with BTSCC in dairy herds by analyzing a survey of dairy producers in the southeastern United States. We examined this region because it has experienced a decline in the number of dairy farms, dairy cows, and milk production over the past 2 decades. The southeast region is also associated with higher BTSCC levels than the national average. Dairy farms in Georgia, Mississippi, Kentucky, North Carolina, South Carolina, Tennessee, and Virginia were surveyed. Producers were asked questions about the BTSCC at which they take action to address BTSCC, the information sources they use to learn about and manage BTSCC, farm structure and management characteristics, and attitudinal variables associated with profitability, managerial control, and planning horizon. Least squares regression was used to determine how these factors were associated with BTSCC levels across the 7-state region. Concern over mastitis, financial consequences of mastitis, and increased previous-year BTSCC were associated with higher current BTSCC levels. Obtaining information about mastitis from veterinarians and extension personnel, taking action against mastitis at a BTSCC less than 300,000 cells/mL, and perceived ability to control processes and mastitis incidence were associated with reduced BTSCC. We found average BTSCC was lower in North Carolina and Virginia. These results suggest that proactive producers (i.e., those that perceive they can control BTSCC and seek information from reliable

How different farming systems respond to the continuously evolving European dairy market – a comparative case study of four different EU countries

DEFF Research Database (Denmark)

Thorsøe, Martin Hvarregaard; Noe, Egon; Aubert, Pierre-Marie

2017-01-01

This Paper analyses how five different Eu-ropean farming systems have been influenced by the increasingly volatile milk market and the strategic re-sponse that has been adopted by farmers and the dairy sector.......This Paper analyses how five different Eu-ropean farming systems have been influenced by the increasingly volatile milk market and the strategic re-sponse that has been adopted by farmers and the dairy sector....

Prevalence of mastitis in dairy cows from smallholder farms in Zimbabwe

OpenAIRE

Simbarashe Katsande; Gift Matope; Masimba Ndengu; Davies M. Pfukenyi

2013-01-01

A cross-sectional study was conducted to determine the prevalence of sub-clinical and clinical mastitis and the associated factors in cows from selected smallholder dairy farms in Zimbabwe. Physical examinations were conducted on all lactating cows for evidence of signs of clinical mastitis. Composite milk samples were collected from all lactating cows for bacterial culture and somatic cell counting. Cows were categorised as clinical if they exhibited clinical features of mastitis, or sub-cli...

Potential of life cycle assessment to support environmental decision making at commercial dairy farms

NARCIS (Netherlands)

Meul, M.; Middelaar, van C.E.; Boer, de I.J.M.; Passel, van S.; Fremaut, D.; Haesaert, G.

2014-01-01

In this paper, we evaluate the potential of life cycle assessment (LCA) to support environmental decision making at commercial dairy farms. To achieve this, we follow a four-step method that allows converting environmental assessment results using LCA into case-specific advice for farmers. This is

Energy Dynamics of an Infinitely Large Offshore Wind Farm

DEFF Research Database (Denmark)

Frandsen, Sten Tronæs; Barthelmie, R.J.; Pryor, S.C.

, particularly in the near-term, can be expected in the higher resource, moderate water depths of the North Sea rather than the Mediterranean. There should therefore be significant interest in understanding the energy dynamics of the infinitely large wind farm – how wakes behave and whether the extraction...... of energy by wind turbines over a large area has a significant and lasting impact on the atmospheric boundary layer. Here we focus on developing understanding of the infinite wind farm through a combination of theoretical considerations, data analysis and modeling. Initial evaluation of power losses due...... is of about the same magnitude as for the infinitely large wind farm. We will examine whether this can be proved theoretically or is indicated by data currently available. We will also evaluate whether energy extraction at the likely scale of development in European Seas can be expected to modulate...

Risk Perception and Management Strategies in Dairy Farming: A Case of Adana Province of Turkey

Directory of Open Access Journals (Sweden)

Seyit Hayran

2015-12-01

Full Text Available This study aims to determine and analyse farmers’ risk perceptions and risk management strategies in dairy farming. Data were obtained in 2014 (December and 2015 (February and March from face-to-face interviews with 96 dairy farmers in Yüregir and Saricam district of Adana province of Turkey. Factor analysis was used in data reduction to identify a small number of factors related to risk sources and risk strategies in this study. Then, multiple regression model was used to evaluate the influence of socio-economic characteristics and communication behaviour on the farmers’ risk perceptions and risk management strategies using factor loadings. The results of this study show that the most important risk source that the farmers' perceive is variability in feed prices and risk management strategy that the farmers' perceive is take precautions to prevent disease. The results of factor analysis show that the risk scale consists of 8 factors explaining 70.24% of total variance. The internal consistency coefficient Cronbach Alfa of the scale is 0.808 and KMO is 0.732. The risk management scale consists of 6 factors explaining 67.78% of total variance. The internal consistency coefficient Cronbach Alfa of the scale is 0.775 and KMO is 0.746. According to the results, perceptions were farmer-specific, a number of socio-economic variables and communication behaviour are found to be related to risk and risk management. To improve risk management strategies is useful for farmers as well and might help them to avoid many risks and reduce losses.

Actual Condition of Paddy Field Levee Maintenance by Various Farm Households including Large-scale Farming in the Developed Land Renting Area

Science.gov (United States)

Sakata, Yasuyo

The survey of interview, resource acquisition, photographic operation, and questionnaire were carried out in the “n” Community in the “y” District in Hakusan City in Ishikawa Prefecture to investigate the actual condition of paddy field levee maintenance in the area where land-renting market was proceeding, large-scale farming was dominant, and the problems of geographically scattered farm-land existed. In the study zone, 1) an agricultural production legal person rent-cultivated some of the paddy fields and maintained the levees, 2) another agricultural production legal person rent-cultivated some of the soy bean fields for crop changeover and land owners maintained the levees. The results indicated that sufficient maintenance was executed on the levees of the paddy fields cultivated by the agricultural production legal person, the soy bean fields for crop changeover, and the paddy fields cultivated by the land owners. Each reason is considered to be the managerial strategy, the economic incentive, the mutual monitoring and cross-regulatory mechanism, etc.

The Effect of Socio-Economic Factors on Adoption of Innovations in Dairy Farms

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Aysun Yener

2017-10-01

Full Text Available The research was conducted with the aim of determining the social and economic factors which are effective on the adoption of new technologies at dairy farms in the province of Konya. The data used in the research was obtained on a volunteer basis by questionnaire technique from 128 dairy farms determined with stratified sampling method that is one of random sampling method. 51.56% of enterprises investigated were high innovators and 48.44% of enterprises were low innovators. In conclusion, it was determined that the milk yield, enterprise income, education of enterpriser, family size, number of animals, existence of land, case of receiving services of consultancy and frequency of using mass media tools made positive contributions to adoption of innovations by enterprises in the research field. But the training level decreased as the age of enterpriser increased in the research field. This case retards the adoption process of innovations and deescalates the use of new technologies in the enterprises. The young farmers come to the forefront in the adoption and implementation of innovations.

Milk microbiological profile of four dairy farms from São Paulo State, Brazil

Directory of Open Access Journals (Sweden)

Adna Crisleia Rodrigues Monção

2012-12-01

Full Text Available The concern in milk quality, milk production, and in animals’ welfare is in constant increase. Mastitis is recognized as the main disease affecting dairy animals because of changing in milk composition and reduction in milk production. In Brazil, the highest incidence of mastitis is related to infectious agents. This study aimed to investigate the incidence of pathogenic microorganisms in milk produced by 60 cows from four dairy farms (15 cows/farm located at Sao Paulo state, Brazil. Milk samples from each teat were collected fortnight in sterile tubes, previously identified, during two months. In each herd 240 samples were obtained, except on the farm A, where an extra collection was done, in a total amount of 300 samples. On the farm A, the sampling was done in a period of transition between the dry and rainy season. On the farm B, samples were collected mostly in the season of high temperatures. On the farm C the collections were made over a period of heat and humidity. On the farm D, on a period of warmer temperatures and reduced rainfall. The isolation and identification of microorganisms were conducted at Laboratory of Milk Quality from Instituto de Zootecnia, Nova Odessa, São Paulo, Brazil. Aliquots of 100 mL of milk were grown on plates with 5% sheep blood agar. After incubation, they were used for the production of catalase and Gram stain. Gram positive and catalase positive samples were classified as Corynebacterium spp. (Coryne.. Gram positive cocci and catalase negative samples were classified as Streptococcus spp. (Strepto.. Milk were then proceeded to coagulase test in rabbit plasma. Gram-positive cocci, catalase positive and coagulase-negative were classified as Staphylococcus coagulase-negative (SCN. Gram positive, catalase positive and coagulase positive samples were subsequently subjected to biochemical tests: mannitol salt agar, maltose, trehalose, and acetoin production. Strains that were positive for these tests were

Multiscale Effects of Management, Environmental Conditions, and Land Use on Nitrate Leaching in Dairy Farms

NARCIS (Netherlands)

Oenema, J.; Burgers, S.L.G.E.; Verloop, J.; Hooijboer, A.; Boumans, L.; Berge, ten H.F.M.

2010-01-01

Nitrate leaching in intensive grassland- and silage maize-based dairy farming systems on sandy soil is a main environmental concern. Here, statistical relationships are presented between management practices and environmental conditions and nitrate concentration in shallow groundwater (0.8 m depth)

Carbon footprints of organic dairying in six European countries—real farm data analysis

DEFF Research Database (Denmark)

Hietala, Sanna; Smith, Laurence; Knudsen, Marie Trydeman

2015-01-01

and United Kingdom. A total of 34 farms were analysed. The assessment was carried out using an attributional approach with system boundaries from cradle to farm gate. In relation to dairy production, a functional unit of 1 kg of energy corrected milk was used. The results gave an average of 1.32 kg CO2...... equivalents per kilogramme of energy-corrected milk with standard deviation of 0.22, which is consistent with recent studies. The main contributor to this is enteric fermentation from producing animals, resulting in 45 % of total GHG emissions, which is also consistent with previous studies....

Evaluating the impact of farm scale innovation at catchment scale

Science.gov (United States)

van Breda, Phelia; De Clercq, Willem; Vlok, Pieter; Querner, Erik

2014-05-01

Hydrological modelling lends itself to other disciplines very well, normally as a process based system that acts as a catalogue of events taking place. These hydrological models are spatial-temporal in their design and are generally well suited for what-if situations in other disciplines. Scaling should therefore be a function of the purpose of the modelling. Process is always linked with scale or support but the temporal resolution can affect the results if the spatial scale is not suitable. The use of hydrological response units tends to lump area around physical features but disregards farm boundaries. Farm boundaries are often the more crucial uppermost resolution needed to gain more value from hydrological modelling. In the Letaba Catchment of South Africa, we find a generous portion of landuses, different models of ownership, different farming systems ranging from large commercial farms to small subsistence farming. All of these have the same basic right to water but water distribution in the catchment is somewhat of a problem. Since water quantity is also a problem, the water supply systems need to take into account that valuable production areas not be left without water. Clearly hydrological modelling should therefore be sensitive to specific landuse. As a measure of productivity, a system of small farmer production evaluation was designed. This activity presents a dynamic system outside hydrological modelling that is generally not being considered inside hydrological modelling but depends on hydrological modelling. For sustainable development, a number of important concepts needed to be aligned with activities in this region, and the regulatory actions also need to be adhered to. This study aimed at aligning the activities in a region to the vision and objectives of the regulatory authorities. South Africa's system of socio-economic development planning is complex and mostly ineffective. There are many regulatory authorities involved, often with unclear

Wind Farm Wake Models From Full Scale Data

DEFF Research Database (Denmark)

Knudsen, Torben; Bak, Thomas

2012-01-01

This investigation is part of the EU FP7 project “Distributed Control of Large-Scale Offshore Wind Farms”. The overall goal in this project is to develop wind farm controllers giving power set points to individual turbines in the farm in order to minimise mechanical loads and optimise power. One...... on real full scale data. The modelling is based on so called effective wind speed. It is shown that there is a wake for a wind direction range of up to 20 degrees. Further, when accounting for the wind direction it is shown that the two model structures considered can both fit the experimental data...

Harmonic Instability Source Identification in Large Wind Farms

DEFF Research Database (Denmark)

Ebrahimzadeh, Esmaeil; Blaabjerg, Frede; Wang, Xiongfei

2017-01-01

A large-scale power electronics based power system like a wind farm introduces the passive and active impedances. The interactions between the active and passive impedances can lead to harmonic-frequency oscillations above the fundamental frequency, which can be called harmonic instability....... This paper presents an approach to identify which wind turbine and which bus has more contribution to the harmonic instability problems. In the approach, a wind farm is modeled as a Multi-Input Multi-Output (MIMO) dynamic system. The poles of the MIMO transfer matrix are used to predict the system...... instability and the eigenvalues sensitivity analysis in respect to the elements of the MIMO matrix locates the most influencing buses of the wind farm. Time-domain simulations in PSCAD software environment for a 400-MW wind farm validate that the presented approach is an effective tool to determine the main...

A stochastic dynamic model of a dairy farm to evaluate the technical and economic performance under different scenarios.

Science.gov (United States)

Calsamiglia, S; Astiz, S; Baucells, J; Castillejos, L

2018-05-23

Dairy farms need to improve their competitiveness through decisions that are often difficult to evaluate because they are highly dependent on many economic and technical factors. The objective of this project was to develop a stochastic and dynamic mathematical model to simulate the functioning of a dairy farm to evaluate the effect of changes in technical or economic factors on performance and profitability. Submodels were developed for reproduction, feeding, diseases, heifers, environmental factors, facilities, management, and economics. All these submodels were simulated on an animal-by-animal and day-by-day basis. Default values for all variables are provided, but the user can change them. The outcome provides a list of technical and economic indicators essential for the decision-making process. Performance of the program was verified by evaluating the effects and sensitivity analysis of different scenarios in 20 different dairy farms. As an example, a case study of a dairy farm with 300 cows producing 40 L/d and a 12% pregnancy rate (PR) was used. The effect of using a time-fixed artificial insemination (TFAI) protocol in the first insemination at 77 d in milk, with 45 and 40% conception rates for first-lactation and older cows, respectively, and a cost of €13 was explored. During the 5-yr simulation, the TFAI increased PR (12 to 17%) and milk yield per milking cow (39.8 to 41.2 L/d) and reduced days to first AI (93 to 74), days open (143 to 116), and the proportion of problem cows (24.3 to 15.9%). In the TFAI, cows were dried 30 d earlier, resulting in more dry cows, and a smaller difference in milk yield by present cows (35.5 vs 36.0 L/d for control and TFAI, respectively). A longer productive life (2.56 vs. 2.79 yr) with shorter lactations in TFIA resulted in less first-lactation cows (42 vs 36%), 32 more calvings per year, and, therefore, more cases of postpartum diseases. Total (32.5 to 29.9%) and reproductive (10.5 vs 6.8%) culling rates decreased in

Perception of the importance of human-animal interactions on cattle flow and worker safety on Minnesota dairy farms.

Science.gov (United States)

Sorge, U S; Cherry, C; Bender, J B

2014-07-01

Proper cattle-handling techniques (stockmanship) are important to ensure calm animals and a safe work environment for dairy workers on farm. The objectives of this study were to (1) assess Minnesota dairy herd owners' attitudes toward stockmanship, its perceived importance for cow comfort and worker health, and the establishment of calm cattle movement; and (2) identify current resources and methods of stockmanship training on Minnesota dairy farms. A stratified-random sample of Minnesota dairy farmers were contacted via mail to participate in a 28-question survey. One hundred eight bovine dairy producers participated. Most commonly, respondents learned their cattle handling skills from family members (42.6%) and 29.9% of producers had participated in previous stockmanship training. Producers thought that the skill of the human handler was the most important factor in establishing good cattle flow. Cattle-handling techniques was the third most common topic for new-employee orientation after training in milking parlor protocols and milking parlor disinfection. Time limitations and language barrier were considered serious challenges for worker training. Work-related injuries were responsible for lost work days in the previous year in 13.3% of dairy herds and 73.3% of those injuries occurred while working with cattle. Producers perceived that cattle-related injuries were predominantly the handler's fault: either because of not paying enough attention to the animal or due to poor cattle handling skills. Facility design was considered the least important for the occurrence of worker injuries. Although no causal inference can be made, herds that had workers who had previously participated in stockmanship training had a 810 ± 378 kg (mean ± standard error of the mean) higher rolling herd average than those that did not, even after adjusting for herd size and bulk tank somatic cell count. However, 50% of respondents were not interested in attending future stockmanship

Increases of Antibiotic Resistance in Excessive Use of Antibiotics in Smallholder Dairy Farms in Northern Thailand

Directory of Open Access Journals (Sweden)

W. Suriyasathaporn

2012-09-01

Full Text Available Antibiotic resistance patterns of bacterial isolates from both quarter teat-tip swabs and their quarter milk samples were evaluated in smallholder dairy farms in northern Thailand with excessive use of antibiotics (HIGH compared with normal use (NORM. Results from teat-tip swab samples showed that the percentage of Bacillus spp. resistance to overall antibiotics was significantly lower in the NORM group than that of the HIGH group, whereas, the resistance percentage of coagulase-negative staphylococci in the NORM group was higher than that of the HIGH one. The overall mastitis-causing bacteria isolated from milk samples were environmental streptococci (13.8%, coagulase-negative staphylococci (9.9%, Staphylococcus aureus (5.4%, and Corynebacterium bovis (4.5%. Both staphylococci and streptococci had significantly higher percentages of resistance to cloxacillin and oxacillin in the HIGH group when compared to the NORM one. An occurrence of vancomycin-resistant bacteria was also observed in the HIGH group. In conclusion, the smallholder dairy farms with excessive use of antibiotics had a higher probability of antibiotic-resistant pattern than the farms with normal use.

Design Performance Standards for Large Scale Wind Farms

DEFF Research Database (Denmark)

Gordon, Mark

2009-01-01

of connection into the Eastern Australian power system under the Rules and guidelines set out by AEMC and NEMMCO (AEMO). Where applicable some international practices are also mentioned. Standards are designed to serve as a technical envelope under which wind farm proponents design the plant and maintain...... ongoing technical compliance of the plant during its operational lifetime. This report is designed to provide general technical information for the wind farm connection engineer to be aware of during the process of connection, registration and operation of wind power plants interconnected into the HV TSO......’s network. No special NER Rule has been used in this document, however V30 (year 2009) has been used as the latest reference on some of the topics discussed. Care has been taken to emphasise certain wind farm design and connection issues that could be considered throughout different stages of the wind farm...

The effects of land application of farm dairy effluent on groundwater quality : West Coast 2001

International Nuclear Information System (INIS)

Baker, T.M.; Hawke, R.M.

2007-01-01

Land application of agricultural effluent is becoming a standard farming practice. The application of farm dairy effluent to land, as opposed to direct discharge to waterways, is the preferred method for disposal in New Zealand as regulatory authorities move to protect and enhance water quality and meet Maori spiritual and cultural values. Land application recognises the nutrient value of dairy effluent; however, it is not without risks. Careful management of land application of the effluent is required because of the potential nutrient and bacterial contamination of groundwater. In 2001, 19 groundwater bores were sampled on four occasions to assess the effects of farm dairy effluent on groundwater quality. Elevated (> 1.6 g m -3 nitrate-nitrogen concentrations were found in 14 of these bores (43 of 74 samples). The available long-term data shows statistically significant increasing trends in nitrate-nitrogen and chloride over the period 1998 to 2007. The nitrate-nitrogen and chloride results suggest effluent is the source of the elevated nitrate-nitrogen; however, the nitrogen isotope analysis indicates that the source of the nitrate-nitrogen may be from fertiliser or soil organic matter (average δ 15 N value of 3.5 permille). Spatially isolated occurrences of bacterial contamination were also recorded: in 7 bores and 12% of all samples analysed. Groundwater dating, using chlorofluorocarbons, suggested that the groundwater in the region was young (8 to 12 years). Overall, the spatial and temporal data suggests human influences are affecting groundwater quality on the West Coast. (author). 27 refs., 5 figs., 2 tabs

Longitudinal assessment of dairy farm management practices associated with the presence of psychrotolerant Bacillales spores in bulk tank milk on 10 New York State dairy farms.

Science.gov (United States)

Masiello, S N; Kent, D; Martin, N H; Schukken, Y H; Wiedmann, M; Boor, K J

2017-11-01

The ability of certain spore-forming bacteria in the order Bacillales (e.g., Bacillus spp., Paenibacillus spp.) to survive pasteurization in spore form and grow at refrigeration temperatures results in product spoilage and limits the shelf life of high temperature, short time (HTST)-pasteurized fluid milk. To facilitate development of strategies to minimize contamination of raw milk with psychrotolerant Bacillales spores, we conducted a longitudinal study of 10 New York State dairy farms, which included yearlong monthly assessments of the frequency and levels of bulk tank raw milk psychrotolerant spore contamination, along with administration of questionnaires to identify farm management practices associated with psychrotolerant spore presence over time. Milk samples were first spore pasteurized (80°C for 12 min) and then analyzed for sporeformer counts on the initial day of spore pasteurization (SP), and after refrigerated storage (6°C) for 7, 14, and 21 d after SP. Overall, 41% of samples showed sporeformer counts of >20,000 cfu/mL at d 21, with Bacillus and Paenibacillus spp. being predominant causes of high sporeformer counts. Statistical analyses identified 3 management factors (more frequent cleaning of the bulk tank area, the use of a skid steer to scrape the housing area, and segregating problem cows during milking) that were all associated with lower probabilities of d-21 Bacillales spore detection in SP-treated bulk tank raw milk. Our data emphasize that appropriate on-farm measures to improve overall cleanliness and cow hygiene will reduce the probability of psychrotolerant Bacillales spore contamination of bulk tank raw milk, allowing for consistent production of raw milk with reduced psychrotolerant spore counts, which will facilitate production of HTST-pasteurized milk with extended refrigerated shelf life. Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

A new system of labour management in African large-scale agriculture?

DEFF Research Database (Denmark)

Gibbon, Peter; Riisgaard, Lone

2014-01-01

This paper applies a convention theory (CT) approach to the analysis of labour management systems in African large-scale farming. The reconstruction of previous analyses of high-value crop production on large-scale farms in Africa in terms of CT suggests that, since 1980–95, labour management has...

Leverages for on-farm innovation from farm typologies? An illustration for family-based dairy farms in north-west Michoacán, Mexico

NARCIS (Netherlands)

Cortez Arriola, J.; Rossing, W.A.H.; Amendola Massiotti, R.D.; Scholberg, J.M.S.; Groot, J.C.J.; Tittonell, P.A.

2015-01-01

Knowledge on farm diversity provides insight into differences among farms, enables scaling from individual farm to farm population level and vice versa, and has been used in the definition of recommendation domains for introduction of novel technologies. Farm diversity can be broadly described in

Application of HACCP principles to control visitor health threats on dairy farms open to the general public.

Science.gov (United States)

Barten, M; Noordhuizen, J P M; Lipman, L J A

2008-10-01

An increasing number of Dutch dairy farmers have diversified their activities, often opening their farm up to visitors (tourist accommodation, farm shop, contact with livestock, etc). It is essential to prevent these visitors from having accidents or becoming ill, which could result in financial claims and might harm the reputation of the agricultural sector. This article describes how the hazard analysis critical control points concept and principles (HACCP) can be applied to these activities and integrated with on-farm operational herd health and production management programmes.

Continuous Eddy Covariance Measurements of N2O Emissions and Controls from an Intensively Grazed Dairy Farm

Science.gov (United States)

Schipper, L. A.; Liang, L. L.; Wall, A.; Campbell, D.

2017-12-01

New Zealand's greenhouse gas (GHG) inventory is disproportionally dominated by methane and nitrous oxide which account for 54% of emissions. These GHGs are derived from pastoral agriculture that supports dairying and meat production. To date, most studies on quantifying or mitigating agricultural N2O emissions have used flux chamber measurements. Recent advances in detector technology now means that routine field-to-farm scale measurements of N2O emissions might be possible using the eddy covariance technique. In late 2016, we established an eddy covariance tower that measured N2O emissions from a dairy farm under year-round grazing. An Aerodyne quantum cascade laser (QCL) was used to measure N2O, CH4 and H2O concentration at 10 Hz and housed in a weatherproof and insulated enclosure (0.9 m ´ 1.2 m) and powered by mains power (240 VAC). The enclosure maintained a stable setpoint temperature (30±0.2°C) by using underground cooling pipes, fans and recirculating instrument heat. QCL (true 10 Hz digital) and CSAT3B sonic anemometer high frequency data are aligned using Network Time Protocol and EddyPro covariance maximisation during flux processing. Fluxes generally integrated over about 6-8 ha. Stable summertime baseline N2O fluxes (FN2O) were around 12-24 g N2O-N ha-1 d-1 (0.5-1.0 nmol N2O m-2 s-1). Grazing by cows during dry summer resulted in only modest increases in FN2O to 24-48 g N2O-N ha-1 d-1 (1.0-2.0 nmol N2O m-2 s-1). However, the first rain events after grazing resulted in large, short-lived (1-3 days) FN2O pulses reaching peaks of 144-192 g N2O-N ha-1 d-1 (6-8 nmol N2O m-2 s-1). During these elevated N2O emissions, FN2O displayed a significant diurnal signal, with peak fluxes mid-afternoon which was best explained by variation in shallow soil temperature in summer. In winter (both cooler and wetter) FN2O were not as easily explained on a daily basis but were generally greater than summer. Throughout the year, FN2O was strongly dependent on water filled

Cost optimization of wind turbines for large-scale offshore wind farms

International Nuclear Information System (INIS)

Fuglsang, P.; Thomsen, K.

1998-02-01

This report contains a preliminary investigation of site specific design of off-shore wind turbines for a large off-shore wind farm project at Roedsand that is currently being proposed by ELKRAFT/SEAS. The results were found using a design tool for wind turbines that involve numerical optimization and aeroelastic calculations of response. The wind climate was modeled in detail and a cost function was used to estimate costs from manufacture and installation. Cost of energy is higher for off-shore installations. A comparison of an off-shore wind farm site with a typical stand alone on-shore site showed an increase of the annual production of 28% due to the difference in wind climate. Extreme loads and blade fatigue loads were nearly identical, however,fatigue loads on other main components increased significantly. Optimizations were carried out to find the optimum overall off-shore wind turbine design. A wind turbine for the off-shore wind farm should be different compared with a stand-alone on-shore wind turbine. The overall design changed were increased swept area and rated power combined with reduced rotor speed and tower height. Cost was reduced by 12% for the final 5D/14D off-shore wind turbine from 0.306 DKr/kWh to 0.270 DKr/kWh. These figures include capital costs from manufacture and installation but not on-going costs from maintenance. These results make off-shore wind farms more competitive and comparable to the reference on-shore stand-alone wind turbine. A corresponding reduction of cost of energy could not be found for the stand alone on-shore wind turbine. Furthermore the fatigue loads on wind turbines in on-shore wind farms will increase and cost of energy will increase in favor of off-shore wind farms. (au) EFP-95; EU-JOULE-3; 21 tabs., 7 ills., 8 refs

Exposure to Inhalable Dust, Endotoxin, and Total Volatile Organic Carbons on Dairy Farms Using Manual and Automated Feeding Systems

DEFF Research Database (Denmark)

Basinas, Ioannis; Cronin, Garvin; Hogan, Victoria

2017-01-01

Introduction: Agricultural workers tend to have high exposures to organic dusts which may induce or exacerbate respiratory disorders. Studies investigating the effect of work tasks and farm characteristics on organic dust exposures among farm workers suggest that handling of animal feed is an imp...... feeding. Until effective permanent engineering controls are established farm workers should be encouraged to wear respiratory protective equipment during these tasks....... of exposure to these agents depend on the applied feeding system in the farms. Methods: Thirty-eight personal exposure measurements were collected from farmers across seven dairy farms. The farms used manual, loft, or semi-automated feeding systems. Information on worker tasks and farm characteristics...

Identifying sources of metal exposure in organic and conventional dairy farming.

Science.gov (United States)

López-Alonso, M; Rey-Crespo, F; Herrero-Latorre, C; Miranda, M

2017-10-01

In humans the main route of exposure to toxic metals is through the diet, and there is therefore a clear need for this source of contamination to be minimized, particularly in food of animal origin. For this purpose, the various sources of toxic metals in livestock farming (which vary depending on the production system) must be taken into account. The objectives of the present study were to establish the profile of metal exposure in dairy cattle in Spain and to determine, by chemometric (multivariate statistical) analysis, any differences between organic and conventional systems. Blood samples from 522 cows (341 from organic farms and 181 from conventional farms) were analysed by inductively coupled plasma mass spectrometry to determine the concentrations of 14 elements: As, Cd, Co, Cr, Cu, Fe, Hg, I, Mn, Mo, Ni, Pb, Se and Zn. In conventional systems the generally high and balanced trace element concentrations in the mineral-supplemented concentrate feed strongly determined the metal status of the cattle. However, in organic systems, soil ingestion was an important contributing factor. Our results demonstrate that general information about the effects of mineral supplementation in conventional farming cannot be directly extrapolated to organic farming and special attention should be given to the contribution of ingestion of soil during grazing and/or ingestion of soil contaminated forage. Copyright © 2017 Elsevier Ltd. All rights reserved.

Farmers’ managerial thinking and management process effectiveness as factors of financial success on Finnish dairy farms

Directory of Open Access Journals (Sweden)

Heikki Mäkinen

2013-12-01

Full Text Available The objective of the study was to analyze how farmers’ managerial thinking and management process effectiveness contribute to profitability of farming. A structural equation model of these two elements of management capacity and financial performance was applied on survey data and bookkeeping results from 117 dairy farms. The model explained one-fourth of the varying profitability of sample farms. The results show that farmers’ managerial thinking is connected to farm profitability, but management process effectiveness is not. It was concluded that it is essential for good performance that the farmer has a clear vision of developing farming with business and investment plans. Successful farmers also have a firm confidence in their managerial skills, a strong emphasis on instrumental and intrinsic values, and a high appreciation of farming as occupation. They also see the farm as an entrepreneurial business unit and intend to follow the corresponding principles of management.

Transfer of 137Cs to cow's milk: investigations on dairy farms in Sweden

International Nuclear Information System (INIS)

Karlen, G.; Johanson, K.J.; Bertilsson, J.

1995-01-01

Since 1986, the year of the nuclear accident at Chernobyl, 137 Cs activity concentrations in cow's milk on dairy farms were studied in Sweden. Transfer coefficients, F m , of 137 Cs from pasture and fodder to cow's milk were determined on farms in the counties of Uppsala, Gaevleborg and Vaestmanland in central Sweden for one month on winter-fodder, and for the first month in 1987 and 1988 on pasture. The average F m for all investigations (of 10 farms on winter-fodder and 11 farms on pasture in 1987 and 4 farms on pasture in 1988) south of Gaevle was estimated to be 0.0055 with a range of 0.0039 to 0.0080. The 137 Cs activity concentration in milk decreased with time. In summer 1992 and 1993, 137 Cs in milk, on the farms still producing milk, was determined. On these farms, 137 Cs activity concentration in milk was found to be -1 . The effective ecological half-life from 1987 was estimated to be 1.4 ± 0.5(sd) years for milk from 10 farms with a range of 0.8-2.0 years. One farm where 137 Cs milk decreased at a slower rate, or not at all, used semi-natural and uncultivated pasture, forest meadows. On intensely managed farms, where potassium fertilizer was distributed, ploughing was performed and, in 1986, forage was cut at a higher stubble-height, the decrease of 137 Cs in milk was observed to be faster. (Author)

Cool roofs with high solar reflectance for the welfare of dairy farming animals

Science.gov (United States)

Santunione, G.; Libbra, A.; Muscio, A.

2017-01-01

Ensuring livestock welfare in dairy farming promotes the production capacity of the animals in terms of both quantity and quality. In welfare conditions, the animals can produce at their full potential. For the dairy cattle the most debilitating period of the year is summer, when the stress arising from overheating induces physiological alterations that compromise the animals’ productivity. In this study, the summer discomfort of dairy animals is primarily quantified and the production loss is quantified versus the Temperature Humidity Index (THI), which correlates the values of temperature and relative humidity to the thermal stress. In order to reduce or eliminate such thermal stress, it is then proposed to coat the roof of the stables with a paint having high solar reflectance and thermal emittance, that is a cool roof product. This type of roofing solution can considerably limit the overheating of stables caused by solar radiation, thus providing a positive impact on the animals’ welfare and improving significantly their productivity in summer.

Cool roofs with high solar reflectance for the welfare of dairy farming animals

International Nuclear Information System (INIS)

Santunione, G; Libbra, A; Muscio, A

2017-01-01

Ensuring livestock welfare in dairy farming promotes the production capacity of the animals in terms of both quantity and quality. In welfare conditions, the animals can produce at their full potential. For the dairy cattle the most debilitating period of the year is summer, when the stress arising from overheating induces physiological alterations that compromise the animals’ productivity. In this study, the summer discomfort of dairy animals is primarily quantified and the production loss is quantified versus the Temperature Humidity Index (THI), which correlates the values of temperature and relative humidity to the thermal stress. In order to reduce or eliminate such thermal stress, it is then proposed to coat the roof of the stables with a paint having high solar reflectance and thermal emittance, that is a cool roof product. This type of roofing solution can considerably limit the overheating of stables caused by solar radiation, thus providing a positive impact on the animals’ welfare and improving significantly their productivity in summer. (paper)

Failure to eradicate the lungworm Dictyocaulus viviparus on dairy farms by a single mass-treatment before turnout.

Science.gov (United States)

Ploeger, H W; Holzhauer, M

2012-04-30

On two dairy farms it was attempted to eradicate lungworm, Dictyocaulus viviparus, by means of a single mass-treatment of all cattle that had been grazed the previous year(s), before turnout in the spring. Both farms experienced two years of lungworm outbreaks in the adult dairy herd prior to this study. Following confirmation that both herds contained lungworm carriers, all animals older than approximately 6 months were treated with eprinomectin in March 2007. One week after treatment none of the animals were shedding lungworm larvae. Subsequently, animals were pastured according to normal farm routine. From August to November all first-calving heifers were coprologically and serologically monitored for lungworm infection. During 2007 both farms remained lungworm-negative and did not report any clinical sign indicative for a lungworm infection. The following year, on one of the farms replacements grazing on cow pastures, started showing signs of parasitic bronchitis which was serologically confirmed. The other herd remained free of parasitic bronchitis until at least the fourth year after the mass treatment, although some coughing was noticed in 2008 among first-lactation heifers. It was concluded that a single mass-treatment before the grazing season may be useful to break a series of annual lungworm outbreaks. However, it is not a secure method to prevent parasitic bronchitis for more than one year. Copyright © 2011 Elsevier B.V. All rights reserved.

Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms

Directory of Open Access Journals (Sweden)

Nina Repar

2016-12-01

Full Text Available Complying with the carrying capacity of local and global ecosystems is a prerequisite to ensure environmental sustainability. Based on the example of Swiss mountain dairy farms, the goal of our research was firstly to investigate the relationship between farm global and local environmental performance. Secondly, we aimed to analyse the relationship between farm environmental and economic performance. The analysis relied on a sample of 56 Swiss alpine dairy farms. For each farm, the cradle-to-farm-gate life cycle assessment was calculated, and the quantified environmental impacts were decomposed into their on- and off-farm parts. We measured global environmental performance as the digestible energy produced by the farm per unit of global environmental impact generated from cradle-to-farm-gate. We assessed local environmental performance by dividing farm-usable agricultural area by on-farm environmental impact generation. Farm economic performance was measured by work income per family work unit, return on equity and output/input ratio. Spearman’s correlation analysis revealed no significant relationship, trade-offs or synergies between global and local environmental performance indicators. Interestingly, trade-offs were observed far more frequently than synergies. Furthermore, we found synergies between global environmental and economic performance and mostly no significant relationship between local environmental and economic performance. The observed trade-offs between global and local environmental performance mean that, for several environmental issues, any improvement in global environmental performance will result in deterioration of local environmental performance and vice versa. This finding calls for systematic consideration of both dimensions when carrying out farm environmental performance assessments.

Factors Affecting the Structural Features of Dairy Farming Organizations in Yalova: Determining the Breeding Activities

Directory of Open Access Journals (Sweden)

Galip BAKIR

2014-03-01

Full Text Available This research has been performed to determine dairy farms’ breeders’ social conditions, presence of animals, care, milk production, happiness with animal farming, problems and situation of being organized in Yalova. The data that obtained from 324 randomly chosen dairy farms around the city by the means of the survey comprised the material of research. The obtained data has been analyzed in SPSS package program by taking animal numbers, age and educational background of breeders as factors affecting the structural condition of farm. In the analysis of race distribution it was determined that breeders having primary education preferred to use crossbred animals, whereas breeders having secondary, high school and higher education tended to use culture breeds. For determining the heat in animals, breeders who have primary school education take bellowing and mounting of animals into consideration. All breeders at any education level considered the 15-18 months of age as age at fist insemination for heifers. As the age of breeders increased, contrary to education level, the ratio for 15-18 month age criterion decreased. In the farms producing less than 10 kg milk the ratio of farmers having primary school education is 68.9%. This ratio is 8.5% for high school and higher graduates. 61.2% of breeders who have middle school education level obtain 11-20 kg milk yield in their farms. While 48.6% of breeders who have less than 5 animals obtain 10 kg milk yield, as the number of animals rises, this rate declined to 23.1%. In the farms having less than 5 animals the proportion of obtaining 10-21 kg milk yield is 48.4%. As the animals numbers increased this proportion increased up to 63.5%.

Biogas production on dairy farms: A Croatia case study

Directory of Open Access Journals (Sweden)

Nikola Bilandžija

2013-03-01

Full Text Available In order to determine the differences in the production and composition of biogas as well as the quality of digested residue from anaerobic digestion of the raw materials generated by dairy farms in Croatia, investigations were undertaken in the biogas laboratory facility of the Faculty of Agriculture. The investigated raw materials were: dairy manure, corn silage, haylage and equal-measure mix (1/3 of all raw materials. For each substrate, three runs of experiments were performed with the same overall hydraulic retention time (40 days and temperature of digestion (35 °C in mesophilic conditions. The investigations found that the most efficient production of biogas was from corn silage. As for biogas composition, it was acceptable in all investigated samples both in energy and environmental terms. Digested residues, which are mildly alkaline, have low dry matter content. About 70 % of dry matter content is organic. On the basis of N:P:K analysis and the analysis of biogenic elements values and heavy metal values, it can be concluded that digested residues of all input raw materials can be used in agricultural production.

Mastitis occurrence and constraints to mastitis control in smallholder dairy farming systems in Uganda

DEFF Research Database (Denmark)

Byarugaba, D. K.; Nakavuma, J. L.; Vaarst, Mette

2008-01-01

was administered to 60 farmers to collect data regarding their farm circumstances and management of their farms and the risk factors to mastitis. Quarter milk samples were collected from the milking cows and screened for mastitis using the California Mastitis Test (CMT). The milk samples were cultured...... for isolation of pathogens and assessment of their susceptibility to commonly used antibiotics. A total of 172 milking cows were sampled corresponding to 688-quarter milk samples. The prevalence of CMT-positive cows was 61.3%, of which sub-clinical mastitis was 60.7%. The levels of hygiene on most of the farms......A study was conducted in the district of Jinja in Uganda to explore the pattern of mastitis including the occurrence of antibiotic resistant mastitis pathogens and to understand the constraints that limit effective control of mastitis in smallholder dairy farming systems.  A questionnaire...

Practices to Reduce Milk Carbon Footprint on Grazing Dairy Farms in Southern Uruguay: Case Studies.

Science.gov (United States)

Carbon footprint (CF) is an increasingly relevant indicator to estimate the impact of a product on climate change. This study followed international guidelines to quantify the CF of milk produced on 24 dairy farms in Uruguay. Cows were grazed all year and supplemented with concentrate feeds. These d...

Assisting New York Dairy Farms with Preparing for OSHA Safety Inspections.

Science.gov (United States)

Tinc, Pamela J; Carrabba, Jim; Meyerhoff, Anna; Horsman, Melissa

2018-01-01

In 2013, the Occupational Safety and Health Administration announced a Local Emphasis Program targeted at New York farmers. This program involved random inspections of dairy farms across the state. This article provides an overview of the efforts made in New York to prepare farmers for these inspections. As a result of this program launch, several safety services offered by the New York Center for Agricultural Medicine and Health were significantly impacted, and required expansion and modification in order to meet the needs of New York farmers.

Nitrogen efficiency of eastern Canadian dairy herds: Effect on production performance and farm profitability.

Science.gov (United States)

Fadul-Pacheco, L; Pellerin, D; Chouinard, P Y; Wattiaux, M A; Duplessis, M; Charbonneau, É

2017-08-01

Nitrogen efficiency (milk N/dietary N; NE) can be used as a tool for the nutritional, economic, and environmental management of dairy farms. The aim of this study was to identify the characteristics of herds with varying NE and assess the effect on farm profitability. One hundred dairy herds located in Québec, Canada, comprising on average 42 ± 18 cows in lactation were visited from October 2014 to June 2015. Feed intake was measured over 24 h. Samples of each feedstuff were taken and sent to a commercial laboratory for analysis of chemical composition. Feeding management and feed prices were recorded. Milk yield was recorded and milk samples were collected over 2 consecutive milkings. Fat, protein, and milk urea N were analyzed. Balances of metabolizable protein (MP; MP supply - MP requirements) and rumen degradable protein (RDP; RDP supply - RDP requirement) were calculated. A hierarchical cluster analysis was conducted and allowed grouping the farms by their NE. Four clusters were identified with an average NE of 22.1 (NE22), 26.9 (NE27), 30.0 (NE30), and 35.8% (NE36). Herds in clusters NE30 and NE36 were fed diets with greater concentrations of starch, net energy for lactation, and nonfiber carbohydrates than those in the other 2 clusters. Moreover, the average proportion of corn silage was lower for herds in cluster NE22 compared with NE30 and NE36 (8.23 vs. 31.8 and 31.3% of total forages, respectively). In addition, crude protein of the diets declined from an average of 16.0 to 14.9% with increasing NE among clusters. Average dry matter intake declined from 26.1 to 22.5 kg/d as NE of clusters increased. Herds in cluster NE22 had lower yields of milk (28.7 vs. 31.8 kg/d), fat (1.15 vs. 1.29 kg/d), and protein (0.94 vs. 1.05 kg/d) than the other clusters. Also, milk urea N was greater for farms in cluster NE22 (13.2 mg/dL) than for farms in the other clusters (11.4 mg/dL). Furthermore, MP and RDP balances decreased from 263.2 to -153.7 g/d and from 594.7 to

Modelling agri-environmental contracting of Dutch dairy farms: the role of manure policies and lock-in

NARCIS (Netherlands)

Peerlings, J.H.M.; Polman, N.B.P.

2008-01-01

The paper examines the possibility of lock-in on the area contracted under an agri-environmental contract in Dutch dairy farming, using a mathematical programming model, and the interaction of these contracts with Dutch national manure policy. Stricter manure policies increase contract

The effect of feed demand on greenhouse gas emissions and farm profitability for organic and conventional dairy farms.

Science.gov (United States)

Kiefer, Lukas; Menzel, Friederike; Bahrs, Enno

2014-12-01

The reduction of product-related greenhouse gas (GHG) emissions in milk production appears to be necessary. The reduction of emissions on an individual farm might be highly accepted by farm owners if it were accompanied by an increase in profitability. Using life cycle assessments to determine the product carbon footprints (PCF) and farm-level evaluations to record profitability, we explored opportunities for optimization based on analysis of 81 organic and conventional pasture-based dairy farms in southern Germany. The objective of the present study was to detect common determining factors for low PCF and high management incomes (MI) to achieve GHG reductions at the lowest possible operational cost. In our sample, organic farms, which performed economically better than conventional farms, produced PCF that were significantly higher than those produced by conventional farms [1.61 ± 0.29 vs. 1.45 ± 0.28 kg of CO₂ equivalents (CO₂eq) per kg of milk; means ± SD)]. A multiple linear regression analysis of the sample demonstrated that low feed demand per kilogram of milk, high grassland yield, and low forage area requirements per cow are the main factors that decrease PCF. These factors are also useful for improving a farm's profitability in principle. For organic farms, a reduction of feed demand of 100 g/kg of milk resulted in a PCF reduction of 105 g of CO₂eq/kg of milk and an increase in MI of approximately 2.1 euro cents (c)/kg of milk. For conventional farms, a decrease of feed demand of 100 g/kg of milk corresponded to a reduction in PCF of 117 g of CO₂eq/kg of milk and an increase in MI of approximately 3.1 c/kg of milk. Accordingly, farmers could achieve higher profits while reducing GHG emissions. Improved education and training of farmers and consultants regarding GHG mitigation and farm profitability appear to be the best methods of improving efficiency under traditional and organic farming practices.

Effectiveness of different strategies to prevent from heat stress in a group of dairy farms located in the Province of Padova

Directory of Open Access Journals (Sweden)

Giulio Cozzi

2010-01-01

Full Text Available Heat stress during the summer season is an important factor which can impair dairy cows physiology and productivity. A survey was carried out on a sample of 30 dairy farms of the Province of Padova to assess the effectiveness of different strategies for heat stress control. All farms used a fan cooling system but in those were a sprinkler device was also operating an increased milk yield was observed (+5.0%. Cows receiving the diet in two daily distributions (morning and evening increased DM intake (+9.0% and milk yield (+15.0% in comparison to animals fed once a day. No difference, instead, were observed in farms where cows were fed once a day in the morning or in the evening. A positive milk response (+8.1% was recorded in farms equipped with wide waterers at the exit of the milking parlour.

An aggregate model of grid-connected, large-scale, offshore wind farm for power stability investigations-importance of windmill mechanical system

DEFF Research Database (Denmark)

Akhmatov, Vladislav; Knudsen, H.

2002-01-01

. Because the shaft system gives a soft coupling between the rotating wind turbine and the induction generator, the large-scale wind farm cannot always be reduced to one-machine equivalent and use of multi-machine equivalents will be necessary for reaching accuracy of the investigation results....... This will be in cases with irregular wind distribution over the wind farm area. The torsion mode of the shaft systems of large wind turbines is commonly in the range of 1-2 Hz and close to typical values of the electric power grid eigenfrequencies why there is a risk of oscillation between the wind turbines...... and the entire network. All these phenomena are different compared to previous experiences with modelling of conventional power plants with synchronous generators and stiff shaft systems....

Dairy farms typology and management of animal genetic resources in the peri-urban zone of Bamako (Mali

Directory of Open Access Journals (Sweden)

Abdoulaye Toure

2015-05-01

Full Text Available Facing growth in demand, dairy production in peri-urban areas of developing countries is changing rapidly. To characterise this development around Bamako (Mali, this study establishes a typology of dairy production systems with a special focus on animal genetic resources. The survey included 52 dairy cattle farms from six peri-urban sites. It was conducted in 2011 through two visits, in the dry and harvest seasons. The median cattle number per farm was 17 (range 5–118 and 42% of farmers owned cropland (8.3± 7.3 ha, minimum 1 ha, maximum 25 ha. Feeding strategy was a crucial variable in farm characterisation, accounting for about 85% of total expenses. The use of artificial insemination and a regular veterinary follow-up were other important parameters. According to breeders’ answers, thirty genetic profiles were identified, from local purebreds to different levels of crossbreds. Purebred animals raised were Fulani Zebu (45.8 %, Maure Zebu (9.2 %, Holstein (3.0 %, Azawak Zebu (1.3 %, Mere Zebu (0.5% and Kuri taurine (0.1 %. Holstein crossbred represented 30.5% of the total number of animals (19.0% Fulani-Holstein, 11.2% Maure-Holstein and 0.3% Kuri-Holstein. Montbéliarde, Normande and Limousin crossbreds were also found (6.6 %, 0.7% and 0.3 %, respectively. A multivariate analysis helped disaggregate the diversity of management practices. The high diversity of situations shows the need for consideration of typological characteristics for an appropriate intervention. Although strongly anchored on local breeds, the peri-urban dairy systems included a diversity of exotic cattle, showing an uncoordinated quest of breeders for innovation. Without a public intervention, this dynamic will result in an irremediable erosion of indigenous animal genetic resources.

Comparing ELISA test-positive prevalence, risk factors and management recommendations for Johne's disease prevention between organic and conventional dairy farms in Ontario, Canada.

Science.gov (United States)

Pieper, Laura; Sorge, Ulrike S; DeVries, Trevor; Godkin, Ann; Lissemore, Kerry; Kelton, David

2015-11-01

Johne's disease (JD) is a chronic, infectious disease in cattle. Between 2010 and 2013, a voluntary JD control program was successfully launched in Ontario, Canada, including a Risk Assessment and Management Plan (RAMP) and JD ELISA testing of the entire milking herd. Over the last decade, the organic dairy sector has been growing. However, organic farming regulations and philosophies may influence the risk for JD transmission on Ontario organic dairy farms. The aim of this cross-sectional study was to investigate differences in JD ELISA test positive prevalence, risk factors for JD and recommendations for JD prevention between organic and conventional dairy herds in Ontario. RAMP results (i.e. RAMP scores and recommendations) and ELISA results were available for 2103 dairy herds, including 42 organic herds. If available, additional data on milk production, milk quality, and herd characteristics were gathered. Organic and conventional herds had a similar herd-level JD ELISA test-positive prevalence (26.2% and 27.2%, respectively). Organic herds (4.2%) had a higher within-herd JD ELISA test-positive prevalence compared to conventional herds (2.3%) if they had at least one JD test-positive animal on the farm. Organic farms had lower risk scores for biosecurity (9 points lower), and higher scores in the calving (7 points higher) and the calf-rearing management areas (4 points higher). After accounting for RAMP score, organic farms received fewer recommendations for the calving management area (Odds Ratio=0.41) and more recommendations in the adult cow management area (Odds Ratio=2.70). A zero-inflated negative binomial model was built with purchase of animals and the herd size included in the logistic portion of the model. Herd type (organic or conventional), colostrum and milk feeding practices, average bulk tank somatic cell count, and presence of non-Holstein breeds were included in the negative binomial portion of the model. Organic farms had a higher number of

Local infestation or long-distance migration? The seasonal recolonization of dairy farms by Stomoxys calcitrans (Diptera: Muscidae) in south central Ontario, Canada.

Science.gov (United States)

Beresford, D V; Sutcliffe, J F

2009-04-01

Stable fly (Diptera: Muscidae) populations in south central Ontario, Canada, first occur on dairy farms in late spring, grow exponentially throughout the summer, and are frozen back each autumn. We examined the extent of overwinter persistence on 22 dairy farms in a 55- by 60-km region north of Lake Ontario that spans four climatic zones. Our overwintering sampling of larval habitat identified three farms located in the southern section of the study region as potential overwintering refugia. Using sticky trap catches to identify the timing of first spring appearance at each farm, we then tested two models of how local farm populations are reestablished annually: 1) stable flies disperse from local climatic refuges and colonize neighboring farms (the local source model); and 2) stable flies are carried into the study region by frontal weather systems (the distant source model). The timing of when stable flies first occurred at these farms supported a local source of dispersing colonists from a small proportion of local refuge farms. We discuss our results in terms of how yearly fluctuation in climate would affect refuge farm density in the region and how this, in turn, would shift the recolonization dynamic. Implications for controlling stable flies also are discussed.