Differentiated dairy grazing intensity in the Northeast

As the dairy industry in the Northeast experienced difficult economic conditions in the 1990s, grazing was increasingly viewed as an option for feeding dairy cattle. This analysis used a large sample of dairy farms randomly drawn from three states (Pennsylvania, Vermont, and Virginia) in early 1997 to compare important aspects of the farming operations for four distinct grazing systems: continuous, traditional, moderately intensive, and intensive. Farmers who used intensive grazing tended to be younger, have more cows per acre, and have greater satisfaction with their farming operations. Logit regression results showed that more formal education and a higher debt-to-asset ratio increased the likelihood that a farmer would increase reliance on grazing in the future.     

Dairy farmer practices and attitudes relating to grass-based,high-feed-input,and indoor production systems in Ireland

Grazing has become a less common dairy farming practice in most European countries. Ireland is an exception with its predominantly grass-based system. After the removal of European milk quotas, farmers were encouraged to expand within a grass-based paradigm rather than pursuing yield increases through feeding more concentrate. This research assessed Irish dairy farmer attitudes toward grass-based, higher-feed-input, and indoor paradigms. A paradigm of agriculture is a shared understanding about how agriculture should be carried out. Grass-based, higher-feed-input, and indoor paradigms propose different solutions to economic, environmental, and animal-welfare challenges facing dairy farming. An online survey was distributed to Irish dairy farmers in August 2018, which received 396 responses. There was support among respondents for the grass-based paradigm of maximizing milk from forage and minimizing concentrate use, with 73% of respondents strongly agreeing or agreeing this was the best option for Irish dairy farmers. The results suggest there were not significant ideological disagreements among respondents about the economic, environmental, and animal-welfare merits of different paradigms. Rather, the results showed respondents supported grass-based or higher-feed-input paradigms for different reasons as follows: profitability and lifestyle for the former, and the ability to expand production without access to additional land and less dependence on weather for the latter. These findings could be of interest in countries where grazing is less widely practiced, but where there is a desire to increase the uptake of grazing practices. Messaging about the profitability and simplicity of the grass-based system clearly resonated with respondents, and could be replicated in other countries. There is a desire within the Irish government, industry, and advisory bodies to keep dairy expansion within a grass-based paradigm. The results suggested individuals may diverge from this paradigm not because they disagree with messaging about its benefits, but rather if difficulties with land access or managing weather variability lead them to expand through feeding more concentrate. To maintain production within the grass-based paradigm, more opportunities could be created for farmers who are restricted from further expansion, such as alternative supply chains or payments for environmental services.     

Impact of Milk Supply Management Policies on the South

Supply management for milk is defined in this paper as any method used to attempt to balance supply with demand. Price supports, voluntary dairy farmer programs, and mandatory programs were evaluated for the South. Partially as a result of government programs, milk production in the South increased 5% in the 1976 to 1986 while production in the United States increased 20%. Southern dairy farmers participated at a higher rate than US dairy farmers in both the milk diversion and dairy termination programs. Long-term average returns to southern dairy farmers in 1976 to 1985 were well under returns to dairy farmers in other regions, which partially explains the high participation. Southern dairy farmers indicated a poor future in dairy farming and retirement age as major reasons for dairy termination program participation.Southern dairy farmers are expressing mixed opinions regarding supply management programs for the future. “Let the 1985 program work” is one expression. Another group shows concern about low prices, adequate but not excessive supplies for the fluid market, and the family dairy farm. Some prefer mandatory supply management including marketing quotas. Milk price, used alone as the supply management policy, may be a harsh adjustment method for dairy farmers and the dairy industry in the South.     

Can we identify key characteristics associated with grazing-management dairy systems from survey data?

Discriminant analysis was used to identify farms using confinement and grazing-production systems from mail survey data of 2074 dairy farmers in Pennsylvania, Vermont, Virginia, and North Carolina. Survey respondents included 45.1% of the farms using confinement management; 13.5% of farms practicing intensive grazing, defined as moving cows to new pasture at least every 3 d; and 41.4% of farms using nonintensive grazing. Farmers using confinement management had significantly more cows, higher milk production, more crop acreage, higher debt, used automatic takeoff milking units (ATO), fed total mixed rations (TMR), and were more satisfied. In general, dairy farmers who grazed their milking cows had smaller herds, fewer acres, but had more acres per cow and made less use of technology. However, farmers practicing intensive grazing were significantly younger, more educated, less experienced, more likely to use computers, and farmed less acreage than other graziers or farmers on confinement farms. The discriminant function correctly classified 70% of the total sample when divided into confinement and overall grazing categories. However, the discriminant function correctly classified only 36% of intensive-grazing farms in comparison to confinement farms. Significant variables identified using ordinary least squares as being related to confinement management were milk per cow, acres of corn, use of ATO and TMR, debt greater than 40%, and residence in North Carolina. Significant variables associated with grazing management were acres of pasture, future use of pasture, education, and residence in Vermont. The analysis indicated that the discriminant function could correctly classify confinement and nonintensive-grazing management but was unable to reliably differentiate between confinement and intensive-grazing farms.     

Factors associated with dairy farmers' satisfaction and preparedness to adopt recommendations after veterinary herd health visits

Herd health and production consultancy are important aspects of the modern dairy veterinary practice; therefore, veterinary farm visits will likely be more successful if veterinary practitioners communicate effectively and meet farmers' expectations. Objectives were to assess dairy farmers' satisfaction with veterinary advisors and their perceived preparedness to adopt veterinary advice. Furthermore, we assessed whether farmers' satisfaction and preparedness to adopt advice were associated with specific predictor variables; that is, general (demographic) factors of veterinarians or farmers, communication tools used by veterinarians, and veterinarians' affective attributes during the farm visit. Audio-video recordings of 14 dairy veterinarians during 70 herd health and production management farm visits were analyzed using the Roter interaction analysis system. Demographic data, farmers' satisfaction, and farmers' preparedness to adopt advice were obtained by using questionnaires. Overall, farmers were satisfied with their veterinarian's communication during farm visits and 58% of farmers felt “absolutely” prepared to follow veterinary recommendations. Based on multivariable regression analysis, farmers' satisfaction was positively associated with their level of education and the amount of talk the veterinarian dedicated to counseling the farmer. However, satisfaction was negatively association with the ratio between veterinarian talk and farmer talk. In addition to various demographic variables, farmers' preparedness to adopt veterinary advice was positively associated with their satisfaction. Other predictor variables for farmers' preparedness to follow recommendations included increased veterinary counseling and frequent herd data discussions, whereas there was a negative relationship between number of farmer questions and dominance of the veterinarian during the farm visit. Identification of factors influencing farmers' satisfaction and preparedness to adopt advice will make veterinary communication more effective and could inform training of veterinarians in communication.     

Meta-analysis of the effect of white clover inclusion in perennial ryegrass swards on milk production

There is increased demand for dairy products worldwide, which is coupled with the realization that consumers want dairy products that are produced in a sustainable and environmentally benign manner. Forage legumes, and white clover (Trifolium repens L.; WC) in particular, have the potential to positively influence the sustainability of pasture-based ruminant production systems. Therefore, there is increased interest in the use of forage legumes because they offer opportunities for sustainable pasture-based production systems. A meta-analysis was undertaken to quantify the milk production response associated with the introduction of WC into perennial ryegrass swards and to investigate the optimal WC content of dairy pastures to increase milk production. Two separate databases were created. In the grass-WC database, papers were selected if they compared milk production of lactating dairy cows grazing perennial ryegrass-WC (GC) swards with that of cows grazing perennial ryegrass-only swards (GO). In the WC-only database, papers were selected if they contained milk production from lactating dairy cows grazing on GC swards with varying levels of WC content. Data from both databases were analyzed using mixed models (PROC MIXED) in SAS (SAS Institute, Cary, NC). Within the grass-WC database, where mean sward WC content was 31.6%, mean daily milk and milk solids yield per cow were increased by 1.4 and 0.12 kg, respectively, whereas milk and milk solids yield per hectare were unaffected when cows grazed GC compared with GO swards. Stocking rate and nitrogen fertilizer application were reduced by 0.25 cows/ha and 81 kg/ha, respectively, on GC swards compared with GO swards. These results highlight the potential of GC production systems to achieve similar levels of production to GO systems but with reduced fertilizer nitrogen inputs, which is beneficial from both an economic and environmental point of view. In the context of increased demand for dairy products, there may be potential to increase the productivity of GC systems by increasing fertilizer nitrogen use to increase stocking rate and carrying capacity while also retaining the benefit of WC inclusion on milk production per cow.     

Love thy neighbor--but does that include a six hundred eighty-four cow dairy operation? A survey of community perceptions

The juxtaposition of nonfarming residences to operating dairy farms often precipitates conflict over appropriate land use. This was the situation facing the residents of the town of Charlotte, Vermont, in 2002 when a local dairy farmer proposed expanding from 225 to 684 cows with the construction of a new dairy facility and manure storage lagoon. The proposal raised considerable concern within the community and presented a unique opportunity for extension researchers to examine and analyze the attitudes and concerns of local residents toward the planned expansion, including their reasons for supporting or opposing the expansion, and to develop recommendations for farm operators considering future expansions. A survey instrument was developed and inserted in a local newspaper that was delivered to all households of Charlotte to identify important concerns of the community and explanatory factors differing between supporters and nonsupporters. Of those responding to the survey, 44.3% opposed the proposed dairy facility, 30.6% supported it, 17.9% needed more information to make a decision, and 7.2% had no opinion or were unaware of the proposal. There were no significant demographic (age, gender, educational attainment) differences between supporters and nonsupporters. Yet, the closer the proximity of the respondent's residence to the farm, the more likely he or she was to oppose it (β = 1.018). The concerns of greatest importance were water quality (4.42/5), effect on property values (3.07/5), and animal welfare (3.58/5). Responses to the open-ended questions on the survey revealed strong views toward the farmer personally as well as concentrated animal feeding operations in general. The results indicate that farmers and extension need to take proactive steps to provide education and information relevant to the facts and issues surrounding new dairy facilities for 500 to 700 dairy cows.     

Public perceptions of antibiotic use on dairy farms in the United States

There has been a global push for improved antimicrobial stewardship, including in animal agriculture, due to growing concerns about antimicrobial resistance. However, little is known about the general public's perceptions of antimicrobial use in animal agriculture. The aim of this study was to explore the US public's perceptions of antibiotic use in dairy farming and how these perceptions influence purchasing decisions. Data from the 2017 Cornell National Social Survey developed in collaboration with the Cornell Survey Research Institute were used to assess the public's perceptions. The Survey Research Institute of Cornell University (Ithaca, NY) administered the survey by telephone to a random sample of 1,000 adults in the continental United States. The survey collected information about perceptions of threat to human health posed by antibiotic use in cows on dairy farms and willingness to pay more for milk from cows raised without antibiotics, as well as several presumed explanatory variables, including respondents' knowledge of antibiotics, beliefs regarding cattle treatment in dairy farming, and 18 sociodemographic characteristics. Data were analyzed using logistic regression. Among respondents, 90.7% (n = 892/983) reported that antibiotic use on dairy farms posed some level of threat to human health and 71.5% (n = 580/811) indicated they would be willing to pay more for milk produced from cows raised without antibiotics. Respondents who believed that antibiotic use in dairy farming posed a moderate to high threat to human health were more likely to be female and report willingness to pay more for milk or not purchase milk. Additionally, consumers' willingness to pay more for milk from cattle raised without antibiotics was associated with the belief that antibiotic use posed some threat to human health, the belief that cows are treated better on organic dairy farms, an annual household income of $50,000 or greater, being born outside the United States, having a liberal social ideology, and being currently or formerly married. These results suggest that the general public's decisions as consumers of dairy products are associated with demographic factors in addition to perceptions of antibiotic use and cattle treatment in dairy farming. The rationale behind such perceptions should be further explored to facilitate consumers' informed decision making about antibiotic use in agriculture, links to cattle treatment, and associated willingness-to-pay attitudes.     

Factors associated with intensity of technology adoption and with the adoption of 4 clusters of precision livestock farming technologies in Irish pasture-based dairy systems

Precision livestock farming (PLF) technologies have been widely promoted as important tools to improve the sustainability of dairy systems due to perceived economic, social, and environmental benefits. However, there is still limited information about the level of adoption of PLF technologies (percentage of farms with a PLF technology) and the factors (farm and farmer characteristics) associated with PLF technology adoption in pasture-based dairy systems. The current research aimed to address this knowledge gap by using a representative survey of Irish pasture-based dairy farms from 2018. First, we established the levels of adoption of 9 PLF technologies (individual cow activity sensors, rising plate meters, automatic washers, automatic cluster removers, automatic calf feeders, automatic parlor feeders, automatic drafting gates, milk meters, and a grassland management decision-support tool) and grouped them into 4 PLF technology clusters according to the level of association with each other and the area of dairy farm management in which they are used. The PLF technology clusters were reproductive management technologies, grass management technologies, milking management technologies, and calf management technologies. Additionally, we classified farms into 3 categories of intensity of technology adoption based on the number of PLF technologies they have adopted (nonadoption, low intensity of adoption, and high intensity of adoption). Second, we determined the factors associated with the intensity of technology adoption and with the adoption of the PLF technology clusters. A multinomial logistic regression model and 4 logistic regressions were used to determine the factors associated with intensity of adoption (low and high intensity of adoption compared with nonadoption) and with the adoption of the 4 PLF technology clusters, respectively. Adoption levels varied depending on PLF technology, with the most adopted PLF technologies being those related to the milking process (e.g., automatic parlor feeders and milk meters). The results of the multinomial logistic regression suggest that herd size, proportion of hired labor, agricultural education, and discussion group membership were positively associated with a high intensity of adoption, whereas age of farmer and number of household members were negatively associated with high intensity of adoption. However, when analyzing PLF technology clusters, the magnitude and direction of the influence of the factors in technology adoption varied depending on the PLF technology cluster being investigated. By identifying the PLF technologies in which pasture-based dairy farmers are investing more and by detecting potential drivers and barriers for the adoption of PLF technologies, the current study could allow PLF technology companies, practitioners, and researchers to develop and target strategies that improve future adoption of PLF technologies in pasture-based dairy settings.     

Farmers' preferences for automatic lameness-detection systems in dairy cattle

As lameness is a major health problem in dairy herds, a lot of attention goes to the development of automated lameness-detection systems. Few systems have made it to the market, as most are currently still in development. To get these systems ready for practice, developers need to define which system characteristics are important for the farmers as end users. In this study, farmers' preferences for the different characteristics of proposed lameness-detection systems were investigated. In addition, the influence of sociodemographic and farm characteristics on farmers' preferences was assessed. The third aim was to find out if preferences change after the farmer receives extra information on lameness and its consequences. Therefore, a discrete choice experiment was designed with 3 alternative lameness-detection systems: a system attached to the cow, a walkover system, and a camera system. Each system was defined by 4 characteristics: the percentage missed lame cows, the percentage false alarms, the system cost, and the ability to indicate which leg is lame. The choice experiment was embedded in an online survey. After answering general questions and choosing their preferred option in 4 choice sets, extra information on lameness was provided. Consecutively, farmers were shown a second block of 4 choice sets. Results from 135 responses showed that farmers' preferences were influenced by the 4 system characteristics. The importance a farmer attaches to lameness, the interval between calving and first insemination, and the presence of an estrus-detection system contributed significantly to the value a farmer attaches to lameness-detection systems. Farmers who already use an estrus detection system were more willing to use automatic detection systems instead of visual lameness detection. Similarly, farmers who achieve shorter intervals between calving and first insemination and farmers who find lameness highly important had a higher tendency to choose for automatic lameness detection. A sensor attached to the cow was preferred, followed by a walkover system and a camera system. In general, visual lameness detection was preferred over automatic detection systems, but this preference changed after informing farmers about the consequences of lameness. To conclude, the system cost and performance were important features, but dairy farmers should be sensitized on the consequences of lameness and its effect on farm profitability.     

Dairy farmers' perspectives on antibiotic use: A qualitative study

An important step in limiting the development of antibiotic resistance is reducing use of antibiotics in animal husbandry. Much research in this area has focused on individual farmer behavior, aiming to better align actual use with medical recommendations. However, farmers' practices and reasoning around their antibiotic use do not reflect solely that farmer as an individual. Rather, practices and worldviews are guided by context (e.g., veterinary advice, peer pressure, regulation, and interactions with farm animals). Studies that jointly embrace farmer agency and the wider structures for this agency, however, remain scarce. This paper draws on theories of behavior as socially constructed, and in particular on the concept of the “good farmer,” to interpret findings from a study of 7 Swedish dairy farms. The results show that all farmers have close daily contact with their animals, have strong emotional ties, and place emphasis on the importance of being able to judge animal health status by eye. Half of the farms use an automatic milking system, and for these farmers automation means better monitoring of animal health without losing contact with the cows. The local veterinarian is considered a positive and important authority whose advice is valued. Despite comparatively strict antibiotic use regulations in Sweden, the farmers do not report lack of access to antibiotics when needed. However, they report feeling disadvantaged in international trade and poorly treated by the Swedish government, which allows imports of cheaper meat and dairy products produced under less strict regulations. The farmers are well informed about how to prevent and treat common diseases. In cases where they do not follow recommendations, we found that economic and labor constraints are the reason rather than lack of knowledge. We concluded that structural limitations faced by farmers, rather than lack of information, impose constraints to further limiting antibiotic use in Sweden. Overall stricter and more uniform global regulations on antibiotic use in animal farming could be an effective measure for reducing antibiotic use.     

Understanding public preferences for different dairy farming systems using a mixed-methods approach

Global production of milk has doubled over the past 50 yr, yet dairy farming in high-income countries faces scrutiny over practices perceived to affect animal welfare. One such practice is housing dairy cows year-round without access to pasture, which is the norm across North America and increasing within Europe, despite evidence of significant public support for grazing. Diverging opinion between the farming community and the public about what animal welfare means could be a key factor; however, lack of insight into the understanding and motivations underpinning public preferences for grazing could also hamper resolution. On the basis that more information could increase engagement between parties, 60 members of the public across the United Kingdom were interviewed to understand their perspectives of 3 dairy farming scenarios incorporating different amounts of grazing or housing. Their responses were analyzed using a mixed-methods approach combining reflexive thematic analysis with linguistic analysis. The integrated results indicated participants had a dual vision of the cow, seeing her as both domestic and wild. A scenario with housing in winter and grazing in summer therefore suited her, providing both protection and naturalness, and was most associated with analytic thinking. Interviewees also confessed ignorance about the cow's needs, either deferring to others' judgment—including the cow herself—or using familiarity and anthropomorphism to assess the scenarios. This again resulted in most optimism, confidence, and positivity for housing in winter and grazing in summer, and most negativity for housing cows year-round. Grazing was aspirational, but keeping cows outside in winter was confusing and concerning. These findings offer opportunities for the dairy industry to adapt communication or systems to better meet societal views; for example, incorporating access to pasture or increasing cow choice.     

How can farming intensification affect the environmental impact of milk production?

The intensification process of the livestock sector has been characterized in recent decades by increasing output of product per hectare, increasing stocking rate, including more concentrated feed in the diet, and improving the genetic merit of the breeds. In dairy farming, the effects of intensification on the environmental impact of milk production are not completely clarified. The aim of the current study was to assess the environmental impacts of dairy production by a life cycle approach and to identify relations between farming intensity and environmental performances expressed on milk and land units. A group of 28 dairy farms located in northern Italy was involved in the study; data collected during personal interviews of farmers were analyzed to estimate emissions (global warming potential, acidification, and eutrophication potentials) and nonrenewable source consumption (energy and land use). The environmental impacts of milk production obtained from the life cycle assessment were similar to those of other recent studies and showed high variability among the farms. From a cluster analysis, 3 groups of farms were identified, characterized by different levels of production intensity. Clusters of farms showed similar environmental performances on product basis, despite important differences in terms of intensification level, management, and structural characteristics. Our study pointed out that, from a product perspective, the most environmentally friendly way to produce milk is not clearly identifiable. However, the principal component analysis showed that some characteristics related to farming intensification, such as milk production per cow, dairy efficiency, and stocking density, were negatively related to the impacts per kilogram of product, suggesting a role of these factors in the mitigation strategy of environmental burden of milk production on a global scale. Considering the environmental burden on a local perspective, the impacts per hectare were positively associated with the intensification level.     

Dairy farmers with larger herd sizes adopt more precision dairy technologies

An increase in the average herd size on Australian dairy farms has also increased the labor and animal management pressure on farmers, thus potentially encouraging the adoption of precision technologies for enhanced management control. A survey was undertaken in 2015 in Australia to identify the relationship between herd size, current precision technology adoption, and perception of the future of precision technologies. Additionally, differences between farmers and service providers in relation to perception of future precision technology adoption were also investigated. Responses from 199 dairy farmers, and 102 service providers, were collected between May and August 2015 via an anonymous Internet-based questionnaire. Of the 199 dairy farmer responses, 10.4% corresponded to farms that had fewer than 150 cows, 37.7% had 151 to 300 cows, 35.5% had 301 to 500 cows; 6.0% had 501 to 700 cows, and 10.4% had more than 701 cows. The results showed that farmers with more than 500 cows adopted between 2 and 5 times more specific precision technologies, such as automatic cup removers, automatic milk plant wash systems, electronic cow identification systems and herd management software, when compared with smaller farms. Only minor differences were detected in perception of the future of precision technologies between either herd size or farmers and service providers. In particular, service providers expected a higher adoption of automatic milking and walk over weighing systems than farmers. Currently, the adoption of precision technology has mostly been of the type that reduces labor needs; however, respondents indicated that by 2025 adoption of data capturing technology for monitoring farm system parameters would be increased.     

A 100-Year Review: A century of change in temperate grazing dairy systems

From 1917 to 2017, dairy grazing systems have evolved from uncontrolled grazing of unimproved pastures by dual-purpose dairy-beef breeds to an intensive system with a high output per unit of land from a fit-for-purpose cow. The end of World War I signaled significant government investments in agricultural research institutes around the world, which coincided with technological breakthroughs in milk harvesting and a recognition that important traits in both plants and animals could be improved upon relatively rapidly through genetic selection. Uptake of milk recording and herd testing increased rapidly through the 1920s, as did the recognition that pastures that were rested in between grazing events yielded more in a year than those continuously grazed. This, and the invention and refinement of the electric fence, led to the development of “controlled” rotational grazing. This, in itself, facilitated greater stocking rates and a 5 to 10% increase in milk output per hectare but, perhaps more importantly, it allowed a more efficient use of nitrogen fertilizer, further increasing milk output/land area by 20%. Farmer inventions led to the development of the herringbone and rotary milking parlors, which, along with the “unshortable” electric fence and technological breakthroughs in sperm dilution rates, allowed further dairy farm expansion. Simple but effective technological breakthroughs in reproduction ensured that cows were identified in estrus early (a key factor in maintaining the seasonality of milk production) and enabled researchers to quantify the anestrus problem in grazing herds. Genetic improvement of pasture species has lagged its bovine counterpart, but recent developments in multi-trait indices as well as investment in genetic technologies should significantly increase potential milk production per hectare. Decades of research on the use of feeds other than pasture (i.e., supplementary feeds) have provided consistent milk production responses when the reduction in pasture intake associated with the provision of supplementary feed (i.e., substitution rate) is accounted for. A unique feature of grazing systems research over the last 70 yr has been the use of multi-year farm systems experimentation. These studies have allowed the evaluation of strategic changes to a component of the system on all the interacting features of the system. This technique has allowed excellent component research to be “systemized” and is an essential part of the development of the intensive grazing production system that exists today. Future challenges include the provision of skilled labor or specifically designed automation to optimize farm management and both environmental sustainability and animal welfare concerns, particularly relating to the concentration of nitrogen in each urine patch and the associated risk of nitrate leaching, as well as concerns regarding exposure of animals to harsh climatic conditions. These combined challenges could affect farmers' “social license” to farm in the future.     

Adoption of Computers and Consultant Services by New York Dairy Farmers

Objectives were to show the rate of adoption of computers and consultant services by New York dairy farmers, characterize users and nonusers, and evaluate the impact of selected business characteristics on adoption. Data were from a farm business summary program and an environmental survey of 335 dairy farms. Use of on-farm computers for accounting had been approximately doubling each year, from 1.4% of the farms in 1983 to 8.7% in 1986. Fifteen percent of the farm managers owned computers in 1986. Sixty-two percent of the farms received monthly or biweekly veterinarian visits. A variety of consultant services were also used. Computer owners and users of biweekly veterinarian visits were younger and better educated with larger and higher producing herds and primarily freestall housing systems.Logistic regression showed that operator education influenced computer ownership and use for accounting purposes. Operator age was more important in predicting veterinarian use. Herd size explained veterinarian use and computer use for accounting but not computer ownership. Production, debt per cow, housing type, and business organization were other independent variables included in the analysis. Consultant use could not be explained by the business characteristics considered.     

Responsible antibiotic use labeling and consumers' willingness to buy and pay for fluid milk

Concerns about antibiotic resistant infections in the United States have called for reduction of antibiotic use in livestock, including dairy cattle. Although effective in curbing antibiotic use, universal organic dairy farming would be impractical and unattainable due to its high land and premium demands. The US Department of Agriculture's organic certification, which completely eliminates antibiotic use in milk production, also raises animal welfare concerns, as it could discourage the use of antibiotics even to treat indicated diseases. Therefore, a proposed alternative for US consumers is a label indicating the responsible antibiotic use (RAU) – not complete elimination – that would minimize antibiotics more than conventional (unlabeled) milk and maximize animal welfare more than organic milk. Our goal was to determine consumers' (1) self-reported preference and (2) willingness to pay for this hypothetical RAU label of milk relative to existing substitutes in organic and unlabeled fluid milk. We conducted (1) a nationally representative survey of US adults and (2) a randomized non-hypothetical experimental Becker-Degroot-Marschak auction with real money and real milk. Although almost half of the survey participants (48.5%) responded that they would buy a RAU-labeled milk, consumers in the experimental auction refused to pay a significant premium for the milk compared with unlabeled milk (mean willingness to pay (95% confidence interval) per half-gallon: $1.92 ($1.65–$2.19) for RAU-labeled milk versus $1.86 ($1.58–$2.13) for unlabeled milk). These results suggest that consumers' survey-identified preferences for RAU-labeled milk could reflect either social desirability bias or a genuine preference for which, however, consumers simply will not pay a significant premium. The study provides preliminary data for future exploration of marketability of the proposed RAU label in the United States and demonstrates the benefits of using complementary survey and experimental auction approaches to understand the potential market for a new dairy product.     

Factors associated with profitability in pasture-based systems of milk production

The global dairy industry needs to reappraise the systems of milk production that are operated at farm level with specific focus on enhancing technical efficiency and competitiveness of the sector. The objective of this study was to quantify the factors associated with costs of production, profitability, and pasture use, and the effects of pasture use on financial performance of dairy farms using an internationally recognized representative database over an 8-yr period (2008 to 2015) on pasture-based systems. To examine the associated effects of several farm system and management variables on specific performance measures, a series of multiple regression models were developed. Factors evaluated included pasture use [kg of dry matter/ha and stocking rate (livestock units/ha)], grazing season length, breeding season length, milk recording, herd size, dairy farm size (ha), farmer age, discussion group membership, proportion of purchased feed, protein %, fat %, kg of milk fat and protein per cow, kg of milk fat and protein per hectare, and capital investment in machinery, livestock, and buildings. Multiple regression analysis demonstrated costs of production per hectare differed by year, geographical location, soil type, level of pasture use, proportion of purchased feed, protein %, kg of fat and protein per cow, dairy farm size, breeding season length, and capital investment in machinery, livestock, and buildings per cow. The results of the analysis revealed that farm net profit per hectare was associated with pasture use per hectare, year, location, soil type, grazing season length, proportion of purchased feed, protein %, kg of fat and protein per cow, dairy farm size, and capital investment in machinery and buildings per cow. Pasture use per hectare was associated with year, location, soil type, stocking rate, dairy farm size, fat %, protein %, kg of fat and protein per cow, farmer age, capital investment in machinery and buildings per cow, breeding season length, and discussion group membership. On average, over the 8-yr period, each additional tonne of pasture dry matter used increased gross profit by €278 and net profit by €173 on dairy farms. Conversely, a 10% increase in the proportion of purchased feed in the diet resulted in a reduction in net profit per hectare by €97 and net profit by €207 per tonne of fat and protein. Results from this study, albeit in a quota limited environment, have demonstrated that the profitability of pasture-based dairy systems is significantly associated with the proportion of pasture used at the farm level, being cognizant of the levels of purchased feed.     

Immigration policy, foreign agricultural labor, and exit intentions in the United States dairy industry

United States agriculture is dependent on foreign labor. Current US immigration policies have been alleged to disrupt agricultural labor availability, particularly that of hired foreign labor. A national survey of dairy farmers across herd sizes and regions of the United States was conducted and the results were used to estimate the extent to which hired foreign labor dependency will affect exit intentions in dairy farming. This study found that the expected probability of exit from dairy farming increased as the use of hired foreign labor intensified. But the expected probability of exit also decreased rapidly as herd sizes got larger. Given the immigration policy currently in place, farmers expecting labor shortages in the future are expected to experience greater tendency to exit the industry.