An analysis of governance factors influencing performance of selected smallholder dairy cooperatives in Zimbabwe.

Cooperatives are organisations owned and operated by individuals or groups that come together for mutual benefit including pooling of resources for the purchase of inputs and marketing of products. Marketing of milk is through dairy cooperatives where the milk collection centres are mandated to help integrating smallholder farmers into competitive markets. The study investigated governance structures of five smallholder dairy schemes purposively selected based on their agroecological regions in Zimbabwe. The aim of the study was to explore how the governing boards conduct their business, particularly marketing milk, and how this affects allocation of resources (milk production and deliveries to milk centres) by smallholder farmers. Qualitative data were collected using focus group discussions with 20 dairy cooperative members from each milk collection centre. Key informant interviews were conducted with chairpersons, management committee members, and dairy value chain stakeholders such as dairy associations and processors. The SWOT analysis technique was employed to identify governance structures highlighting major strengths, weakness, opportunities, and threats as a gateway to isolating strategies for enhancing centre performance. An analysis of implications of the governance structures on resource allocation decision by farmers was also performed. So focus is on how boards are discharging mandate such as marketing on behalf of farmers, price setting and negotiations, trainings, and accountability to members. Such factors if executed well will see farmers increasing milk production and deliveries to MCC yielding positive results in income and profits. The study results show that poor governance mainly caused by incompetent boards and management committees was the major factor affecting performance. Other findings were that if good governance factors were in place, then cooperatives became proficient leading to their growth. Thus, cooperatives must adopt business models based on private sector partnerships to maximise on expertise and technical support. The schemes ought to take advantage of existing opportunities, especially policies that mitigate threats and improve product diversity, value addition, and effective pricing strategies. To achieve these milestones, capacity building roadmaps ought to identify competent and efficient boards.

Graduate Student Literature Review: Challenges and opportunities for human resource management on dairy farms.

Dairy farms are increasing in size and moving from family to external labor. As such, dairy farmers now have the responsibilities of a human resource manager in addition to caring for their animals. The objective of this paper was to review literature in 5 areas of human resource management of a dairy farm: (1) professional accreditation and professional development, (2) extension activities, (3) the role of the advisor, (4) standard operating procedures, and (5) employee training. Although there has been an increase in research in this area in recent years, this review identified numerous areas for future research, including the relationships between farmers and their advisors and employees, and the role of standard operating procedures on dairy farms. In addition, we suggest that future studies could benefit from increased use of participatory research methods.

Effect of reproductive management programs for first service on replacement dairy heifer economics.

Our objective was to evaluate cash flow for dairy heifers managed for first service with programs that relied primarily on insemination at detected estrus (AIE), timed AI (TAI), or a combination of both. Holstein heifers from 2 commercial farms were randomized to receive first service with sexed semen after the beginning of the AI period (AIP) at 12 mo of age with 1 of 3 treatments: (1) PGF+AIE (n = 317): AIE after PGF2α injections every 14 d (up to 3) starting at the beginning of the AIP; heifers not AIE 9 d after the third PGF2α were enrolled in the 5d-Cosynch (5dCP) protocol; (2) ALL-TAI (n = 315): TAI after ovulation synchronization with the 5dCP protocol; and (3) PGF+TAI (n = 334): AIE after 2 PGF2α injections 14 d apart (second PGF2α at beginning of AIP). If not AIE 9 d after the second PGF2α, the 5dCP protocol was used for TAI. After first service heifers were AIE or received TAI after the 5dCP with conventional semen. Individual heifer cash flow (CF) for up to a 15-mo period (d 0 = beginning of AIP) was calculated using reproductive cost (rearing only), feed cost (rearing only), income over feed cost (lactation only), calf value, operating cost, and with or without replacement cost. A stochastic analysis with Monte Carlo simulation was used to estimate differences in CF for a range of market values for inputs and outputs. Time to pregnancy for up to 100 d after the beginning of the AIP was analyzed by Cox's proportional regression, binary data with logistic regression, and continuous outcomes by ANOVA. Time to pregnancy (hazard ratio and 95% CI) was reduced for the ALL-TAI versus the PGF+AIE treatment (1.20; 1.02-1.42), but it was similar for ALL-TAI and PGF+TAI (1.13; 0.95-1.33) and the PGF+AIE and PGF+TAI treatments (1.07; 0.91-1.25). The proportion of heifers not pregnant by 100 d did not differ (PGF+AIE = 7.0%; PGF+TAI = 6.5%; ALL-TAI = 6.8%). When including replacement cost, CF ($/slot per 15 mo) differences were $51 and $42 in favor of the PGF+TAI and ALL-TAI compared with the PGF+AIE treatment, and $9 in favor of the PGF+TAI compared with the ALL-TAI treatment but did not differ statistically. Excluding heifers that were replaced to evaluate the effect of timing of pregnancy differences only, the difference in CF between the PGF+AIE with the PGF+TAI and ALL-TAI treatment was the same (i.e., $15) and favored the programs that used more TAI, but also did not differ statistically. Stochastic simulation results were in line with those of the deterministic analysis confirming the benefit of the programs that used more TAI. We concluded that submission of heifers for first service with TAI only or TAI in combination with AIE generated numerical differences in CF of potential value to commercial dairy farms. Reduced rearing cost and increased revenue during lactation increased CF under fixed (not statistically significant) or simulated variable market conditions.

Improving nutritional accuracy and economics through a multiple ration-grouping strategy.

The objective of this study was to develop a model application to systematize nutritional grouping (NG) management in commercial dairy farms. The model has 4 sub-sections: (1) real-time data stream integration, (2) calculation of nutritional parameters, (3) grouping algorithm, and (4) output reports. A simulation study on a commercial Wisconsin dairy farm was used to evaluate our NG model. On this dairy farm, lactating cows (n = 2,374 ± 185) are regrouped weekly in 14 pens according to their parity and lactation stage, for which 9 diets are provided. Diets are seldom reformulated and nutritional requirements are not factored to allocate cows to pens. The same 14 pens were used to simulate the implementation of NG using our model, closely following the current farm criteria but also including predicted nutritional requirements (net energy for lactation and metabolizable protein; NEL and MP) and milk yield in an attempt to generate more homogeneous groups of cows for improved diet accuracy. The goal of the simulation study was to implement a continuous weekly system for cows' pen allocation and diet formulation. The predicted MP and NEL requirements from the NG were used to formulate the diets using commercial diet formulation software and the same feed ingredients, feed prices, and other criteria as the current farm diets. Diet MP and NEL densities were adjusted to the nutritional group requirements. Results from the simulation study indicated that the NG model facilitates the implementation of an NG strategy and improves diet accuracy. The theoretical diet cost and predicted nitrogen supply with NG decreased for low-nutritional-requirement groups and increased for high-nutritional-requirement groups compared with current farm groups. The overall average N supply in diets for NG management was 15.14 g/cow per day less than the current farm grouping management. The average diet cost was $3,250/cow per year for current farm management and $3,219/cow per year for NG, which resulted in a theoretical $31/cow per year diet cost savings.

Risk and Planning in Agriculture: How Planning on Dairy Farms in Ireland Is Affected by Farmers' Regulatory Focus.

This article examines how planning on dairy farms is affected by farmers' motivation. It argues that farmers' choice of expansion strategies can be specified in terms of risk decision making and understood as either prevention-focused or promotion-focused motivation. This relationship was empirically examined using mediated regression analyses where promotion/prevention focus was the independent variable and its effect on total milk production via planned expansion strategies was examined. The results indicate that promotion focus among farmers has an indirect effect on farm expansion via planning strategies that incur greater risk to the farm enterprise. Regulatory focus on the part of farmers has an influence on farmers' planning and risk management activities and must be accounted for in the design and implementation of policy and risk management tools in agriculture.

Listeria monocytogenes incidence changes and diversity in some Brazilian dairy industries and retail products.

Listeria monocytogenes can cause listeriosis, a severe foodborne disease. In Brazil, despite very few reported cases of listeriosis, the pathogen has been repeatedly isolated from dairies. This has led the government to implement specific legislation to reduce the hazard. Here, we determined the incidence of L. monocytogenes in five dairies and retail products in the Southeast and Midwest regions of Brazil over eight months. Of 437 samples, three samples (0.7%) from retail and only one sample (0.2%) from the dairies were positive for L. monocytogenes. Thus, the contamination rate was significantly reduced as compared to previous studies. MultiLocus Sequence Typing (MLST) was used to determine if contamination was caused by new or persistent clones leading to the first MLST profile of L. monocytogenes from the Brazilian dairy industry. The processing environment isolate is of concern being a sequence-type (ST) 2, belonging to the lineage I responsible for the majority of listeriosis outbreaks. Also, ST3 and ST8 found in commercialized cheese have previously been reported in outbreaks. Despite the lower incidence, dairy products still pose a potential health risk and the occurrence of L. monocytogenes in dairies and retail products emphasize the need for continuous surveillance of this pathogen in the Brazilian dairy industry.

Spatial Dependence and Determinants of Dairy Farmers' Adoption of Best Management Practices for Water Protection in New Zealand.

This paper analyses spatial dependence and determinants of the New Zealand dairy farmers' adoption of best management practices to protect water quality. A Bayesian spatial durbin probit model is used to survey data collected from farmers in the Waikato region of New Zealand. The results show that farmers located near each other exhibit similar choice behaviour, indicating the importance of farmer interactions in adoption decisions. The results also address that information acquisition is the most important determinant of farmers' adoption of best management practices. Financial problems are considered a significant barrier to adopting best management practices. Overall, the existence of distance decay effect and spatial dependence in farmers' adoption decisions highlights the importance of accounting for spatial effects in farmers' decision-making, which emerges as crucial to the formulation of sustainable agriculture policy.

[WORKING CONDITIONS AND THE HEALTH STATE OF FEMALE WORKERS IN DAIRY ENTERPRISES IN VARIOUS CLIMATIC CONDITIONS].

The paper presents a comprehensive sanitary - hygienic assessment of working conditions for female workers in dairy enterprises located in different climatic regions. On the basis of this assessment, a set of preventive measures aimed at improvement of the working conditions and the health state offemale workers may be developed and implemented.

Attitudes of farm consultants in the South Island of New Zealand towards the role of veterinarians in farm businesses.

AIMS: To assess the attitude of dairy farm consultants to the role of veterinarians on dairy farms and whether they viewed veterinary advice as impartial, free from commercial bias and central to farm productivity and profitability. METHODS: A telephone survey was commissioned in September 2014 of 36 full-time farm consultants in the Canterbury and Otago region of New Zealand using a pre-prepared questionnaire to explore their attitudes towards the veterinary profession. Of those approached, 25 completed the survey. RESULTS: The consultants surveyed agreed or strongly agreed (21/23) that they were the custodians of animal health expenditure on farms, which was seen as an expense to be controlled (19/25 agreed or strongly agreed). This view was held more strongly (9/9 agreed or strongly agreed) by consultants with >5 years' professional experience, compared to 10/16 consultants with ≤5 years' experience. Most consultants (24/25) disagreed that they did not respect veterinary advice, but agreed (24/25) that veterinarians almost always had a vested interest in the advice that they gave. The role of veterinarians was seen by respondents to be mainly treatment of sick animals (22/25) and provision of animal health products (24/25), but not in maximising farm profitability (selected by 8/25 respondents). Consultants viewed their own roles as providing advice on the influence of animal health on farm profitability (21/25), nutrition (22/25) and reproduction (20/25). Most respondents (21/25) stated that reducing disease and animal health issues was important, but they (21/25) also identified a reduction in farm animal health expenditure as a measure of success. Only 7/25 consultants felt that they should work in partnership with veterinarians. CONCLUSIONS: This was a small scale study from one region of New Zealand but it indicates that consultants are ambivalent about the role and value of working more closely with veterinarians, and about the benefit that veterinary intervention may bring to a farm's profitability. CLINICAL RELEVANCE: More successful veterinary involvement on dairy farms will follow from a better understanding of how other rural professionals are involved in the farm's management and in meeting the individual farmer's goals and motivations.

Impact of reproductive technologies on dairy food production in the dairy industry.

Reproductive technologies drive the efficiency of managing dairy cows because the lactation cycle of the dairy cow depends on regular calving to renew lactation yields. Achieving timely pregnancies to allow calving every 12-14 months, therefore, is critical in modern dairy production. To meet the demands to produce sufficient milk for fluid and dairy products, various technologies are applied to enhance efficiencies on the dairy farm. Artificial insemination (AI), embryo transfer, ultrasonographic and chemical detection of pregnancy, various monitors that detect or predict estrus, and handheld communication and testing devices allow managers to retrieve information to make cow-side decisions about health and reproductive status. Genomic testing of young potential sires or young heifers is now possible and can provide information about their genetic merit years before any progeny tests can be completed. In many countries, the challenge faced by dairy producers is their ability to afford these technologies in the face of rising feed and labor costs and volatile milk prices received at the farm gate. Government policies often place obstacles, trade barriers, and unfunded mandates that preclude operations from making a modest profit. Unlike nearly all other manufacturing industries, agriculture producers have little control over the price received for their products. Therefore, dairy production is vulnerable to many uncontrolled factors including climate, government policy, economic conditions, and skilled labor shortages. It is clear that the impact of emerging and current reproductive technologies is critical to the management of dairy cattle to produce sufficient milk to meet consumer demands for quality fluid and dairy products.

Opportunities and constraints to improving milk quality in Ireland: enabling change through collective action.

Ireland plays a key role in contributing to the global supply of dairy produce, and increasing international demand, as well as the abolition of milk quotas in the European Union in 2015, present opportunities for the Irish milk industry. Improving milk quality is required to maximize these opportunities. National action on milk quality is spearheaded by Animal Health Ireland, yet the potential for collective action at an industry level is undermined by the inability of individual stakeholders to accept responsibility for action. In-depth qualitative interviews were conducted with n=12 stakeholder representatives. The theoretical concepts of collective action (i.e., when a group of people with a shared interest undertake some kind of voluntary common action in pursuit of that shared interest) is applied to understanding the results and identifying a collective way forward. Though consensus is apparent on the need to improve milk quality, differences exist about individual responsibility and the best way to achieve higher quality standards. The propensity for collective action is undermined by shifting responsibility to other stakeholders, stakeholder positions, trust concerns, and concerns over the commitment of other stakeholders to cooperate. Understanding how collective action works provides Animal Health Ireland with a knowledge framework in which to build stakeholder consensus. The paper concludes with practical examples of how Animal Health Ireland continues to apply this understanding by bringing individual stakeholders together to achieve milk quality improvement.

Gross revenue risk in Swiss dairy farming.

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 output prices and yields contributed to revenue risk over 3 different periods: the whole period (1990-2009), the first decade (1990-1999), and the second decade (1999-2009). In addition, the effect of expected changes in animal-based support for roughage-consuming cattle and price volatility on revenue risk was evaluated using a simulation model. Prices were the main contributor to revenue risk, even if the importance of yield risk increased over time. Swiss dairy producers can profit from natural hedge but market deregulation and market liberalization have reduced the natural hedge at the farm level. An increase in price volatility would substantially increase revenue risk and would, together with the abandonment of direct payments, reduce the comparative advantage of dairy production for risk-averse decision makers. Depending on other available risk management strategies, price risk management instruments might be a valuable solution for Swiss dairy producers in the future.

A comprehensive dairy valorization model.

Dairy processors face numerous challenges resulting from both unsteady dairy markets and some specific characteristics of dairy supply chains. To maintain a competitive position on the market, companies must look beyond standard solutions currently used in practice. This paper presents a comprehensive dairy valorization model that serves as a decision support tool for mid-term allocation of raw milk to end products and production planning. The developed model was used to identify the optimal product portfolio composition. The model allocates raw milk to the most profitable dairy products while accounting for important constraints (i.e., recipes, composition variations, dairy production interdependencies, seasonality, demand, supply, capacities, and transportation flows). The inclusion of all relevant constraints and the ease of understanding dairy production dynamics make the model comprehensive. The developed model was tested at the international dairy processor FrieslandCampina (Amersfoort, the Netherlands). The structure of the model and its output were discussed in multiple sessions with and approved by relevant FrieslandCampina employees. The elements included in the model were considered necessary to optimally valorize raw milk. To illustrate the comprehensiveness and functionality of the model, we analyzed the effect of seasonality on milk valorization. A large difference in profit and a shift in the allocation of milk showed that seasonality has a considerable impact on the valorization of raw milk.

Comparing technical efficiency of farms with an automatic milking system and a conventional milking system.

Changing from a conventional milking system (CMS) to an automatic milking system (AMS) necessitates a new management approach and a corresponding change in labor tasks. Together with labor savings, AMS farms have been found to have higher capital costs, primarily because of higher maintenance costs and depreciation. Therefore, it is hypothesized that AMS farms differ from CMS farms in capital:labor ratio and possibly their technical efficiency, at least during a transition learning period. The current study used actual farm accounting data from dairy farms in the Netherlands with an AMS and a CMS to investigate the empirical substitution of capital for labor in the AMS farms and to determine if the technical efficiency of the AMS farms differed from the CMS farms. The technical efficiency estimates were obtained with data envelopment analysis. The 63 AMS farms and the 337 CMS farms in the data set did not differ in general farm characteristics such as the number of cows, number of hectares, and the amount of milk quota. Farms with AMS have significantly higher capital costs (€12.71 per 100 kg of milk) than CMS farms (€10.10 per 100 kg of milk). Total labor costs and net outputs were not significantly different between AMS and CMS farms. A clear substitution of capital for labor with the adoption of an AMS could not be observed. Although the AMS farms have a slightly lower technical efficiency (0.76) than the CMS farms (0.78), a significant difference in these estimates was not observed. This indicates that the farms were not different in their ability to use inputs (capital, labor, cows, and land) to produce outputs (total farm revenues). The technical efficiency of farms invested in an AMS in 2008 or earlier was not different from the farms invested in 2009 or 2010, indicating that a learning effect during the transition period was not observed. The results indicate that the economic performance of AMS and CMS farms are similar. What these results show is that other than higher capital costs, the use of AMS rather than a CMS does not affect farm efficiency and that the learning costs to use an AMS are not present as measured by any fall in technical efficiency.

The evolution of productivity performance on China's dairy farms in the new millennium.

China's dairy farm structure has experienced fundamental changes across farm types. As the number of backyard farms has dramatically declined, the share of dairy cows from backyard farms has decreased by 22.4% from 2003 to 2008. However, the herd numbers of larger dairy farms have increased. In particular, the share of dairy cows has risen by 18.8% on small farms, by 22.2% on medium farms, and by 80.8% on large farms over the same period. Total factor productivity was decomposed into technical efficiency and technological change on China's dairy farms using the stochastic production frontier framework. The estimated results indicate that patterns of productivity growth appear to have shifted in the 2000s compared with the 1990s, from generally driven by technological change to exclusively driven by technological change on backyard and small farms and uniquely driven by the improvement of technical efficiency on large farms. Tests of the econometric assumption indicate that the variations in total factor productivity growth patterns across farm types and regions are likely caused by the feed input biases and cropping production practice.

Relationships between work organisation and size of dairy farms: a case study based in Vietnam.

In Vietnam, livestock farming policy is designed to develop milk production to increase the country's dairy self-sufficiency. However, workload is one of the main constraints limiting the potential for increasing production and herd sizes on family-run farms. The aim of this paper was to explore the relationships connecting work organisation forms and durations to herd sizes in order to understand the impacts of rationalising work by increasing herd numbers. A work organisation survey was carried on 19 dairy farmers in two regions of northern Vietnam. Statistical analysis was run to identify relationships between herd size, work organisation forms and work durations. A cluster analysis was used to establish a typology. The results show that the volume of routine work is higher in large herds but is also more efficient. Farmers running large herds lighten their family workload by mechanising routine tasks and by employing permanent contract workers. The paper concludes on a set of guidance strategies to help dairy farms develop their activity, such as hiring farm labour and mechanising farm tasks.

A coordinated research programme to develop methodologies for an integrated approach to improve small scale market oriented dairy systems in developing countries.

A five-year Coordinated Research Project (CRP) entitled 'Integrated approach for improving small scale market oriented dairy systems' is currently being implemented by the Food and Agriculture Organization and the International Atomic Energy Agency, through their Joint Programme on 'Nuclear Techniques in Food and Agriculture'. The objectives are to (a) identify and prioritize the constraints and opportunities in the selected dairy farms; (b) determine the most important limiting factors; (c) develop intervention strategies; (c) assess the economic impact of the interventions; (d) develop methodologies for recording and demonstrating the economic impact; and (e) promote the adoption and dissemination of proven strategies and methodologies. Fifteen institutes in developing as well as developed countries are participating in the project, through ten research contracts (Bangladesh, Cameroon, Pakistan, Paraguay, Peru, South Africa, Sri Lanka, Tanzania, Tunisia and Venezuela), one technical contract (Peru) and four research agreements (Malaysia, U.K., U.S.A. and Uruguay). The initial phase of the project, which focused on the conduct of Participatory Rural Appraisals and Economic Opportunity Surveys in the countries of the research contract holders, has now been completed. This paper describes the background to the CRP approach and the procedures used for developing, initiating and implementing this project.

Constraint analysis to improve integrated dairy production systems in developing countries: the importance of participatory rural appraisal.

The paper describes the rationale and importance of the approaches and methodologies of Participatory Rural Appraisal (PRA) to enable constraint analysis, to understand the complexities of farming systems and to improve integrated dairy productivity. Implicit in this objective is Farming Systems Research (FSR), which focused on cropping systems in the 1970's, with the subsequent addition of animal components. The methodology for FSR involves the following sequential components: site selection, site description and characterization (diagnosis), planning of on-farm research, on-farm testing and validation of alternatives, diffusion of results, and impact assessment. PRA is the development of FSR, which involves the active participation of farmers to identify constraints and plan appropriate solutions. In the Coordinated Research Project (CRP), the approach was adapted to 10 different country situations and led to Economic Opportunity Surveys (EOS) and Diagnostic Surveillance Studies (DSS), allowing the planning and implantation of integrated interventions to improve dairy productivity.