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Antimicrobial use (AMU) data are essential to monitor the effect of AMU reduction strategies in animal health. The use of technology and herd recording software to record AMU will be vital to scale the collation of these data in the future. The aim of this study was to determine the barriers and facilitators to Irish dairy farmers recording their AMU using a herd recording software and sharing AMU data. Thirty-three Irish dairy farmers involved in a study on AMU monitoring were asked to record their AMU using a herd recording software over a 12-mo period. At the end of the 12-mo period, 10 of these farmers were selected to take part in semi-structured interviews exploring their opinions on recording AMU, the use of herd recording software, and sharing AMU data. Interviews were transcribed and qualitatively analyzed using inductive thematic analysis. Several barriers and facilitators to farmers recording their AMU using a herd recording software and sharing AMU data were identified. Barriers included the age and generation of the farmer, farm infrastructure, a lack of training and education, a lack of knowledge around the benefits of digital data, a lack of incentive to digitize records, and a fear of repercussions. Facilitators identified by the farmers included the benefits of having instantly available data for making herd management decisions, reduced paperwork, increased organization for inspections, and a potential positive effect on the image of the dairy industry. To increase the uptake of new technology to record AMU at farm-level, farmers will need support in terms of education and training around the software available to them and reassurance around the perceived risks of repercussions with sharing data in a digital format. [ABSTRACT FROM AUTHOR]

Cost-effective methods are crucial in small-scale operations to assess the physicochemical properties of milk, identify potential clinical or subclinical mastitis, and test β-lactams in small ruminants. The aim was to evaluate the importance of physicochemical characteristics, somatic cells, and antibacterial substances as factors for monitoring the quality and safety of bulk tank milk from sheep and goats. Furthermore, we aimed to elucidate the influence of grazing capacity on the composition of sheep milk. The fat content of sheep milk (n=119) was found to be 7.7%, with a range of 5.3% to 9.9%. The average fat content of dairy goats (n=33) was found to be 4.9%, with a range of 2.8-6.7%. The results indicate that 2.8% of sheep milk samples and 7.8% of goat milk samples exhibited clear positive reactions when assessed using the California mastitis test. β-lactam antibiotics were present in 0.7% of sheep milk samples, but not in any of the goat milk samples using lateral flow strips. This measurement method can be useful to detect adulterated milk and better understand the quality and safety of small ruminant milk before processing. [ABSTRACT FROM AUTHOR]

Context: Managing people outside the farm family unit is a new issue for many Irish dairy farmers. In the context of rapid growth, the demand for employees has increased, creating the need for Irish dairy farmers to have human resource management (HRM) skills. Aims: This paper explores the extent and type of HRM practices adopted by Irish dairy farmers and the factors that influence their adoption. Methods: A questionnaire was developed, piloted, and issued to farmers on the basis of herd size and location. Data from 203 dairy farmers who employ people were analysed to examine the adoption of different HRM practices and the influence of farm characteristics, farmer demographics and farmer attitudes on their adoption. HRM practices included compliance with employment legislation, health and safety, different approaches to recruitment, workforce management and retention. The questionnaire included one or more variables for each of these HRM practices. Where more than one variable was included, an aggregate variable was developed for that practice. Key results: Whereas, overall, there was a low level of adoption of best HRM practices, farm characteristics such as herd size and number of employees had a significant influence on farmers' adoption of compliance with employment legislation, health and safety, recruitment, workforce management and retention practices. Demographic factors such as age, level of education, and average hours worked influenced farmers compliance with employment law legislation, workforce management practices and retention practices. Conclusions: The study highlighted an overall low compliance with employment legislation and low adoption of best practices in managing staff among dairy farmers in Ireland. Implications: This study highlighted that improvement is needed in all areas of HRM on Irish dairy farms. The findings of this study would be useful to farm advisors who support dairy farmers in improving their management of their businesses. Overall, this study has contributed to a greater understanding of the challenges in managing people in agriculture and how certain factors influences the adoption of HRM practices on dairy farms. The dairy industry's recent growth in Ireland has resulted in a high demand for additional workers, increasing the requirement for farmers to be skilled in Human Resource Management (HRM). This study identified that the adoption of HRM practices is influenced by farm characteristics, in particular herd size, the number of employees on the farm. This study has contributed insights into the prevalence of specific HRM practices on Irish dairy farms, and indicated that there is a significant scope for improvement. A novel aspect of this study was the focus on the potential factors that influence the adoption of HRM practices on Irish dairy farms. The findings of this study could be used by agricultural advisors and those working in HRM to provide tailored advice to support dairy farmers and other small business owners in managing their employees. [ABSTRACT FROM AUTHOR]

Introduction: Reducing antibiotic use in production animal systems is one strategy which may help to limit the development of antimicrobial resistance. To reduce antimicrobial use in food‐producing animals, it is important to first understand how antibiotics are used on farm and what barriers exist to decreasing their use. In dairy production systems, mastitis is one of the most common reasons for administering antimicrobials. Therefore, it is important to understand the motivations and behaviours of dairy farmers in relation to the diagnosis, treatment and prevention of mastitis. Materials and methods: In this study, we interviewed a sample of dairy farmers and dairy industry professionals from the major dairying regions of eastern Australia regarding their current practices used to diagnose, treat, and control subclinical and clinical mastitis. Inductive thematic analysis was used to code interview transcripts and identify the recurrent themes. Results: Four overarching themes were identified: (1) the challenges associated with the detection and diagnosis of clinical mastitis, including with laboratory culture, (2) the motivations behind treatment decisions for different cases, (3) decisions around dry cow therapy and the role of herd recording, and (4) concerns regarding the development of antimicrobial resistance. Discussion: This study identifies several challenges which may limit the ability of Australian dairy farmers to reduce antimicrobial use on farm, such as the need for rapid and reliable diagnostic tests capable of identifying the pathogenic causes of mastitis and the difficulties associated with conducting herd recording for the implementation of selective dry cow therapy. Industry professionals were concerned that farmers were not using individual cow records to aid in treatment decisions, which could result in unnecessary antimicrobial use. The results of this study can act as the basis for future research aimed at assessing these issues across the broader Australian dairy industry. [ABSTRACT FROM AUTHOR]

The Chesapeake Bay watershed is representative of governance challenges relating to agricultural nonpoint source pollution and, more generally, of sustainable resources governance in complex multi-actor settings. We assess information flows around Best Management Practices (BMPs) undertaken by dairy farmers in central Pennsylvania, a subregion of the watershed. We apply a mixed-method approach, combining Social Network Analysis, the analysis of BMP-messaging (i.e. information source, flow, and their influences), and qualitative content analysis of stakeholders' interviews. Key strategic actors were identified through network centrality measures such as degree of node, betweenness centrality, and clustering coefficient. The perceived influence/credibility (by farmers) of BMP-messages and their source, allowed for the identification of strategic entry points for BMP-messages diffusion. Finally, the inductive coding process of stakeholders' interviews revealed major hindrances and opportunities for BMPs adoption. We demonstrate how improved targeting of policy interventions for BMPs uptake may be achieved, by better distributing entry-points across stakeholders. Our results reveal governance gaps and opportunities, on which we draw to provide insights for better tailored policy interventions. We propose strategies to optimize the coverage of policy mixes and the dissemination of BMP-messages by building on network diversity and actors' complementarities, and by targeting intervention towards specific BMPs and actors. We suggest that (i) conservation incentives could target supply chain actors as conservation intermediaries; (ii) compliance-control of manure management planning could be conducted by accredited private certifiers; (iii) policy should focus on incentivizing inter-farmers interaction (e.g. farmers' mobility, training, knowledge-exchange, and engagement in multi-stakeholders collaboration) via financial or non-pecuniary compensation; (iv) collective incentives could help better coordinate conservation efforts at the landscape or (sub-)watershed scale; (v) all relevant stakeholders (including farmers) should be concerted and included in the discussion, proposition, co-design and decision process of policy, in order to take their respective interests and responsibilities into account. [ABSTRACT FROM AUTHOR]

The present investigation was done to assess the utilization patterns of antiparasitic drugs among dairy owners and their perceptions regarding resistance development. A total of 160 dairy farmers, consisting of 80 Small Dairy Farmers (SDF) and 80 Large Dairy Farmers (LDF) were selected for the study from 8 different districts of 2 states of India (Rajasthan and Uttar Pradesh). A pre-tested structured interview schedule was used for collecting data. In the study area, the majority of the dairy farmers were middle-aged males, middle-level educated and had a moderate level of experience in dairy farming. All the farmers were observed utilizing chemical antiparasitic drugs for managing parasitic infestations in dairy animals. Regarding parasite control, SDF relied on para-veterinarians, while LDF preferred self-treatment for their dairy animals. A primary source for acquiring antiparasitic drugs was pharmacy stores with and without a prescription from qualified animal health care service providers. It was found that approximately one-third of the farmers did not refer to drug labels for dose calculation. However, dairy farmers primarily relied on visual observation of animal body weight to calculate antiparasitic drug doses. The majority of the farmers stored antiparasitic drugs in their dairy farms. Moreover, the farmers expressed an average perception towards the antiparasitic resistance development. Among the various socio-economic factors, education and training were found the strongest predictors that made the highest changes in perception. The overall findings indicate that farmers were neither well-versed in the scientific practices related to the usage of antiparasitic drugs nor familiar with resistance issues. Despite this, they were continuing to acquire and administer drugs without seeking advice from the qualified veterinarians. Consequently, indiscriminate use of antiparasitic drugs in livestock sector has the potential to contribute to the emergence of resistance. It is imperative to create awareness among farmers about the importance of rational use of drugs to mitigate the risk of resistance. [ABSTRACT FROM AUTHOR]

The excessive and irrational use of antibiotics to control bovine mastitis and the informal trade in milk with antibiotic residues are objects of great interest for public health, due to the problems associated with the consumption of milk with antibiotic residues on human, animal, and environmental health, and antibiotic resistance. The objective of this study was to understand the attitudes of dairy farmers towards the self-consumption of milk on the farm, the use of milk with antibiotic residues, and the formal and informal milk trade that generates risks for public health. Mixed methods: cross-sectional and grounded theory. Convergent triangulation design. The study was carried out in 9 dairy municipalities in the North of Antioquia, where 216 dairy farmers participated in the quantitative component; and 17 milk producers and 9 veterinarians took part in the qualitative component. A dairy farmer characterization survey was conducted, as well as a survey on the use and marketing of milk from cows with udder health problems and/or under antibiotic treatment. Semistructured interviews were conducted on the same subject. The variable "Intention to sell milk in the village when the dairy industry does not buy it due to high BTSCC" is associated with the BTSCC variable. The variable "Type of marketing reported" is associated with the CFU variable. 5 categories: self-consumption of milk, use of milk with antibiotics, informal milk trade, control of the dairy industry, and beliefs about the elimination of antibiotics in milk, were constructed to theorize about udder health and public health. Sociocultural, political, and economic factors affect decision making in dairy farmers regarding the use and marketing of milk from cows with mastitis and antibiotic residues. These attitudes and behaviors have public health implications. [ABSTRACT FROM AUTHOR]

Background: Comprehending the correlation between body conformation traits of cows at the early stages of lactation and prevalent lactation diseases might facilitate the execution of selection and feeding strategies that prioritize cow health. This study aimed to evaluate the impact of body conformation traits on the incidence of clinical mastitis and lameness in Chinese Holstein cows. From a pasture herd of 1472 early lactating Chinese Holstein cows, we evaluated 20 body conformation traits. During lactation, this pasture herd was visited weekly to gather clinical mastitis and lameness data. A nine-point scale was used to determine the conformation traits of cows to clarify their linear characters, including frame capacity, rump (RU), feet and leg (FL), mammary system (MS), and dairy character. A longitudinal binary disease (0 = healthy; 1 = diseased) data structure was created by allocating disease records to adjacent official test dates. The impact of body conformation traits on the risk of developing diseases (clinical mastitis and lameness) was analyzed using the logistic regression models. Results: Compared to cows with low total scores (75–79 points), those with high total scores (80–85 points) of body conformation traits had a significantly lower risk of mastitis (P < 0.001). The disease status (0 or 1: binary variable) of clinical mastitis in lactating cows was significantly impacted negatively by age (P < 0.05). The fore udder attachment (FUA), angularity, rear attachment height (RAH), and rear teat placement (RTP) were all significantly associated with clinical mastitis during lactation (P < 0.05). The rear leg-rear view (RLRV) was significantly correlated with correlated considerably (P < 0.05) with lameness during lactation. An ideal score of four points on the lameness risk dimension of the RLRV may indicate a low risk of lameness. Since the risk of mastitis decreased as this trait score increased, the RTP may be an ideal marker for mastitis risk. Conclusions: According to the study, clinical mastitis and lameness risks in cows can be estimated using their body conformation traits. Cows with more centrally located rear teats have a lower risk of mastitis. These results may help dairy farmers identify cows at high risk of disease early in lactation and aid in breeding for disease resistance in cows. [ABSTRACT FROM AUTHOR]

Background: Dairying is an integral part of farming system of India. In 2019-20, milk production in Punjab was 13,347 thousand tonnes and growth rate was about 5.60 per cent per annum. Milk production is only profitable if there are proper marketing facilities. The objective of the present study is analyzing the determinants that affect the choice of milk marketing channels by the dairy farmers of Punjab. Methods: The present study is based on primary data, collected through a detailed schedule from 420 dairy farmers in 2019 belonging to different farm size categories from 21 villages situated across three different agro-climatic zones of Punjab state of India, using a multi-stage sampling technique. Binary Logistic Model has been used for the purpose of analysis. Result: The significant variables affecting the choice of milk marketing channels by the dairy farmers are found to be the presence of milk collection centre in the village and herd size of the dairy farmer. The value of Cox and Snell R-square indicates that around 17.00 per cent of the variations in the choice of marketing channels are attributed to the variations in the explanatory variables included in the study. [ABSTRACT FROM AUTHOR]

Background: Adequate housing is essential for wellbeing and welfare of any kind of livestock, which keeps them comfort and healthy thereby increases production and reproduction performance by exploiting their fullest genetic potential. As scanty information available on farmers practices on animal housing, the present study was undertaken to assess housing management practices followed by dairy farmers in Northern Telangana state of India. Methods: Data were collected from randomly selected 240 dairy farmers from 24 villages of 8 mandals from 4 districts. A pretested semi-structured questionnaire in precise language was employed for collecting data through interview and face to face discussion with the dairy farmers duly avoiding ambiguous, dichotomous and non-variant items for proper interpretation. Result: Majority (59.58%) respondents kept animals in kutcha houses and 74.58% sheds located to nearby their dwellings. Majority (50.42%) of the sheds were in east-west direction and 82.08% of the respondents followed single line system of housing. Majority 91.25, 95.42, 84.16, 67.92 and 69.58% of the respondents protected animals against extreme weather conditions, maintained cleanliness, had earthen floor, backward slope in the floor and wooden pillars, respectively. Majority of animal houses had thatched roof (50.42%) and without walls (82.08%) and majority of them (89.58%) provided mangers but only 11.25% had pucca type mangers. Only a few respondents (14.58%) provided pucca drainage system and most of the farmers (58.75%) had manure pit adjacent to their animal houses. The study concludes that, the dairy farmers of the study area are well aware of advantages of keeping animals in hygienic animal houses under adverse tropical climatic conditions of the study area and providing them periodical trainings and visits to modern organised dairy farms helps them to optimize productivity from dairy animals. [ABSTRACT FROM AUTHOR]

Foodborne zoonosis is a longstanding global issue that limits and continues to threaten the food production industry and public health in several countries. The study's objective was to evaluate the dairy farmers' knowledge, attitudes, and practices about milk-borne pathogens in the Eastern Cape province, South Africa. A total of 139 dairy farmers were interviewed using a semi-structured online questionnaire. The pathogens of interest were Brucella spp., Escherichia coli, Listeria monocytogenes, Salmonella spp., Staphylococcus aureus, and Cryptosporidium. Only 20.9% of dairy farmers reported knowledge of Brucella spp. as a milk-borne pathogen. The most known pathogen was E. coli (54.7%), followed by Listeria spp. (41.0%), Staphylococcus spp. (38.8%), and Salmonella spp. (35.3%). In this study, knowledge of milk-borne pathogens was statistically associated (p<0.05) with workplace position. Only a few participants (37.2%) showed knowledge of abortion as an important clinical sign of foodborne pathogens. Also, 84.1% of dairy farmers indicated that they consume unpasteurized milk and sour milk (77%). Some respondents (18.0%) do not believe assisting a cow during calving difficulty without wearing gloves is a risk factor for zoonosis. Knowledge assessment is essential in developing countries that have experienced a foodborne outbreak, such as South Africa. There is an urgent need to educate dairy farmers about milk-borne zoonosis to minimize the threat to food security and public health. [ABSTRACT FROM AUTHOR]

Dairy farms have become more reliant on technology. The overall aim of this study was to better understand how dairy farmers view technology and its effects on animal care, including their views on the prospect of integrating gene-editing technology in the future. Virtual-semistructured interviews were conducted with dairy farmers (n = 11) from British Columbia and Alberta. To facilitate discussion, the participants were asked to develop and discuss a timeline describing when and why various technologies were adopted on their farm. Although farmers defined technology broadly and affecting multiple aspects of farm management, this paper focuses on their views regarding how technology can affect animal care. Following thematic analysis of the data, the following 3 themes emerged: (1) the changing role of the farmer (including intergenerational considerations and learning new technology), (2) the effect of technology on the cow and her relationship with the farmer and, (3) technology as the future of the farm. The discussions also highlight the concerns that some farmers have regarding challenges associated with reduced human-animal interactions and effective use of the large amounts of data that are collected through technology. We also specifically asked the participants their views about gene editing as a potential future technology. Most of the participants did not specifically address their views on gene editing, but they spoke about the effect on genetic technologies more generally, often making references to genomic testing. However, some questioned how this technology may affect farmers more generally and spoke about how it could affect human-animal relationships. These results illustrate differences among farmers in the way they view technology and how this can affect the dairy cattle they care for. [ABSTRACT FROM AUTHOR]

This study evaluated the adoption of scientific animal feeding practices among women dairy farmers in regions with good access to veterinary institutions. Access to these services is crucial for gender equality, economic empowerment, and sustainable agriculture. But, such studies are lacking in India. This research involved 150 women farmers in Kangra, Himachal Pradesh, with easy access to veterinary institutions. High adoption levels were observed for most scientific dairy feeding practices. Colostrum feeding for new-born calves was the most adopted, while home preparation of animal feed was the least. The study revealed significant correlations between adoption levels and factors like landholding size, dairy experience, and market orientation. In summary, multiple veterinary institutions’ support positively influences the adoption of scientific dairy feeding practices among women dairy farmers. [ABSTRACT FROM AUTHOR]

The winter cold stress of dairy cows has become one of the important problems affecting the healthy development of animal husbandry. Cold stress will lead to the decrease of feed intake, milk yield and reproductive performance of dairy cows, and seriously harm the economic benefits of dairy farmers. Inner Mongolia is located in a cold region, where animals are in a cold environment for a long time, and the impact of cold stress is more common. In order to more specifically understand the effects of cold stress on the production performance of dairy cows, the paper reviews the effects of cold stress on the behavior, milk yield, neuroendocrine, biochemical indexes, immune, antioxidant function, intestinal flora and other aspects of dairy cows, and summarizes the effective prevention and control measures to prevent cold stress of dairy cows, to provide reference for further research on the prevention and relief of cold stress in dairy cows. [ABSTRACT FROM AUTHOR]

Context. The aim of farm-systems research is to test concepts in a holistic context that enables results to be as applicable as possible to commercial farmers. A downside of such research has been that it can take several seasons to be confident in the consistency of the outcomes and interpretation of the results. Scientists are often reluctant to communicate outcomes until they have clear conclusions, which conflicts with farmers' desire to see rapid answers and engage with research. Aims. This paper reviews a 3-year farm-systems research project investigating flexible milking strategies for New Zealand dairy farmers. The aims of this paper are to (1) examine the impact of real-time science communication in achieving farm system change, and (2) develop a framework for science communication and engagement in adaptive farm-systems research. Methods. The project involved farmer interviews, a farmlet experiment, a component experiment, partner farms, modelling, and a farmer reference group. We use data from sources such as e-newsletter engagement, webinar participation, web-page engagement, presentation attendance, and farmer feedback to collect insights on the impact of the project. Key results. The analysis highlighted that farmers do not always seek complete information and will follow a project as it evolves, particularly when it is highly topical. We propose a framework for delivering adaptive farm systems research and communication. The framework includes the critical aspects for real-time farm-systems research: credible evidence, rapid results, inclusion of farmer voices, meaningful outcomes, flexible communication channels, iterative feedback loops, and adaptable research design. Conclusion. Farm-systems research can be designed to communicate results to farmers as a project develops, while simultaneously using the engagement with farmers to refine the direction of the research. Implications. This framework can guide scientists leading multi-year farm systems projects to design, implement, and communicate the project outcomes to improve farmer engagement and adoption. [ABSTRACT FROM AUTHOR]

The aim of the study was to determine the role played by farmers' sociodemographic factors in the characteristics of dairy farmers' breeding goals and how they are clustered in Slovenia. Understanding how farmers formulate their breeding objectives is crucial because their perspectives may diverge from those of the stakeholders engaged in selection and breeding. Involving farmers in the process of setting breeding goals can improve the use of selection tools and confidence in the selection process. For a more complete picture of how farmers view breeding work, their expectations, and the changes they would prefer to see in the future in terms of new traits and a total merit index, a mixed methods approach was used. Initially, 3 focus groups with 30 participants were conducted on the following main topics: farmers' needs and attitudes regarding genomic selection, the main barriers and advantages to adopting genomic selection, the design of a total merit index, and preferences for breeding goals. To generalize the results to the whole population, an additional online questionnaire was sent to dairy farmers affiliated with Slovenian breeding associations, with 212 farmers responding. Based on how the farmers distributed weights across the trait categories in the total merit index, a cluster analysis identifies 3 distinct groups of farmers. Milk production proved to be an important common factor for all farmers, especially production-focused ones. Functionality-focused farmers expressed the strongest preference for fertility (22%), longevity (18%), and animal health (18%), whereas resilience-focused farmers concentrated on fertility (13%), health (13%), longevity (11%), and workability (11%). Yet, the results also showed that dairy farmers hold quite similar preferences for breeding goal traits, with animal health and welfare, reproductive traits, dominating across the sample and environmental and meat traits being the least important. The quantitative analysis of the preference for new environmental traits showed that farmers express less importance to them due to pressure and negative public opinion about the environmental impact of dairy farming. The focus group participants, although acknowledging that adaptation to climate change and heat stress will be essential, were even more negative about traits related to greenhouse gas emissions, which can be attributed to negative public opinion and constraints on agricultural activity. [ABSTRACT FROM AUTHOR]

As clinical mastitis (CM) treatments are responsible for a large portion of antimicrobial use on dairy farms, many selective CM treatment protocols have been developed and evaluated against a blanket treatment approach of CM cases. Selective treatment protocols use outcomes of diagnostic tests to exclude CM cases from antimicrobial treatment when they are unlikely to benefit. To tailor interventions to increase uptake of selective treatment strategies, a comprehension of current on-farm treatment practices and factors affecting treatment decisions is vital. Two questionnaires were conducted among 142 farms across 5 provinces participating in the Canadian Dairy Network for Antimicrobial Stewardship and Resistance in this cross-sectional study. Self-reported adoption of selective CM treatments by dairy farmers was 64%, with median of 82% of cows treated in those herds using selective treatment. Using logistic regression models, the odds to implement a selective CM treatment protocol increased with a decreasing average cow somatic cell count. No other associations were identified between use of a selective CM treatment protocol and farm characteristics (herd size, CM incidence, province, milking system, and housing system). Three subsets of farmers making cow-level CM treatment decisions were identified using a cluster analysis approach: those who based decisions almost exclusively on severity of clinical signs, those who used various udder health indicators, and farmers who also incorporated more general cow information such as production, age, and genetics. When somatic cell count was considered, the median threshold used for treating was >300,000 cells/mL at the last Dairy Herd Improvement test. Various thresholds were present among those considering CM case history. Veterinary laboratories were most frequently used for bacteriological testing. Test results were used to start, change, and stop treatments. Regardless of protocol, reasons for antimicrobial treatment withheld included cow being on a cull list, having a chronic intramammary infection, or being at end of lactation (i.e., close to dry off). If clinical signs persisted after treatment, farmers indicated that they would ask veterinarians for advice, stop treatment, or continue with the same or different antibiotics. Results of this study can be used to design interventions targeting judicious mastitis-related antimicrobial use, and aid discussions between veterinarians and dairy producers regarding CM-related antimicrobial use. [ABSTRACT FROM AUTHOR]

Understanding antibiotic use in dairy systems is critical to guide antimicrobial stewardship programs. We investigated antibiotic use practices in small-holder dairy farms, antibiotic quality, and antimicrobial resistance (AMR) awareness among veterinary drug retailers in a mixed farming community in the central Kenyan highlands. Data were collected from 248 dairy farms and 72 veterinary drug stores between February 2020 and October 2021. A scale was developed to measure knowledge about AMR and antibiotic use using item response theory, and regression models were used to evaluate factors associated with antibiotic use and AMR knowledge. The active pharmaceutical ingredient (API) content of 27 antibiotic samples was determined using high-performance liquid chromatography (HPLC). The presence and levels of 11 antibiotic residues in 108 milk samples collected from the study farms were also investigated using liquid chromatography tandem mass spectrometry (LC–MS/MS). Almost all farms (98.8%, n = 244) reported using antibiotics at least once in the last year, mostly for therapeutic reasons (35.5%). The most used antibiotics were tetracycline (30.6%), penicillin (16.7%), and sulfonamide (9.4%), either individually or in combination, and predominantly in the injectable form. Larger farm size (OR = 1.02, p < 0.001) and history of vaccination use (OR = 1.17, p < 0.001) were significantly associated with a higher frequency of antibiotic use. Drug retailers who advised on animal treatments had a significantly higher mean knowledge scores than those who only sold drugs. We found that 44.4% (12/27) of the tested antibiotics did not meet the United States Pharmacopeial test specifications (percentage of label claim). We detected nine antibiotics in milk, including oxytetracycline, sulfamethoxazole, and trimethoprim. However, only three samples exceeded the maximum residue limits set by the Codex Alimentarius Commission. Our findings indicate that antibiotics of poor quality are accessible and used in small-holder dairy systems, which can be found in milk. These results will aid future investigations on how to promote sustainable antibiotic use practices in dairy systems. [ABSTRACT FROM AUTHOR]

This study examined the climate-smart agriculture (CSA) practices of dairy farmers in Agula and Maychew, Northern Ethiopia. Data was collected through focus group discussions (FGDs) and questionnaires. The study explored farmers', implementation of three CSA practices – improved fodder, manure management, and replacement of unproductive cows. The determinants of CSA adoption were analyzed using a binary logistics model at significance levels of 1%, 5%, and 10%. Results showed that improved fodder was adopted by 60.1% in Agula and 18.2% in Maychew. The adoption of manure management (p =.229) and replacement of unproductive cows (p =.935) did not vary significantly. The replacement of unproductive cows had the highest adoption rate (45.9%). Improved fodder adoption was significantly higher among male-headed farms (p =.017). Manure management adoption was positively associated with gender (p =.034), number of cows (p =.081), and access to climate information (p =.063). Replacement of unproductive cows was associated with number of cows (p <.001), farm income (p =.049), and access to extension services (p =.006). FGDs revealed that farmers were able to perceive climate change and its effects on their dairy business. This study underscores the need for CSA practices to adapt to climate change impact on animals and mitigate greenhouse gas emissions from dairy farms. [ABSTRACT FROM AUTHOR]

The detection of lame cows is a challenging and time-consuming issue for dairy farmers. Many farmers use the milking time to monitor the condition of their animals. Because lame cows often show increased stepping when standing to relieve pressure on aching claws, we investigated whether lame cows showed increased activity in the milking parlor. On 20 Swiss dairy farms, 647 cows were scored on lameness with a five-point locomotion score and categorized as clinical lame and non-lame cows in order to see if there are differences in behavior between these two groups (non-lame = scores 1 and 2; lame = scores 3, 4, and 5). During one evening milking, the behavior of the cows was analyzed. A three-dimensional accelerometer, attached to the milking cluster, detected the hind leg activity indirectly via the movements of the milking unit. Additionally, head movements, as well as weight shifting and the number of steps with the front legs, were analyzed from video recordings. Owing to a high percentage of false positive hind leg activities in some milkings measured by the sensor, only 60% of the collected data were evaluated for behavior (356 cows/milkings on 17 farms). Twenty-seven percent of the investigated cows were classified as lame. The lameness prevalence was increasing with increasing parity. Lame cows showed a higher hind leg activity during milking as well as a higher frequency of front steps and weight shifting events during their stay in the milking parlor than non-lame cows. No relation between the status of lameness and the number of head movements could be seen. Observation of increased stepping and weight shifting of individual animals during milking by the farmer could be used as an additional indicator to detect lame cows, but further investigations are required. [ABSTRACT FROM AUTHOR]

Background: The reproductive and productive performance play significant role in judging the qualitative and quantitative traits in a dairy animal and has direct effect on the milk production and profitability in any dairy enterprise. Methods: The present study was conducted in Jharkhand State, wherein 180 members of Jharkhand State Cooperative Milk Producers’ Federation and 180 non-member dairy farmers were randomly selected from three districts of Jharkhand. The data was collected from a total of 360 respondents using structured interview schedule. For present study, 135 crossbred, 58 indigenous cattle and 82 buffaloes were selected from the members; whereas 102 crossbred cattle, 36 indigenous cattle and 79 buffaloes were selected from non-members. Result: The findings revealed that dairy animals reared by cooperative members showed better reproductive and productive performance that their non-member counterparts. This is attributed to reason that JMF members adopted better dairy management practices due to availability of timely veterinary services, quality feed and training on improved dairy practices. Therefore, through increased participation in JMF; creating awareness and training regarding improved dairy management, adequate extension, breeding policy and financial support would further enhance the productivity among the dairy animals in the state. [ABSTRACT FROM AUTHOR]

Background: Forage crops in Algeria are deficient and thus constitute the primary obstacle hindering milk production. The present study aims to assess fodder practices in the wilaya of Blida, through the farms surveyed. Methods: A chronological and spatio-temporal analysis of the evolution of areas, fodder and dairy production, a survey of 76 dairy farmers and a descriptive analysis by quantiles of key variables using statistical tools (Excel and SPSS) was performed at the level of the of Blida province. A database is established using information collected from the various agricultural services of the wilaya of Blida and the examination of questionnaires from surveys carried out in the dairy farms visited. Result: The proportions by quantiles allowed discerning that two thirds of the farmers visited allocate areas of 0 to 20 hectares to fodder. With regard to a utilized agricultural area between 0 and 140 hectares, of which up to 110 hectares are allocated to cereals and the rest of the land allocated to other crops such as fruit trees. The farmers surveyed rely more on cereal crop residues to feed dairy cattle and practice little or no forage crops, which explains the delay in the development of dairy production. [ABSTRACT FROM AUTHOR]

This study used realistic evaluation to determine how, and in which circumstances, providing dairy farmers with benchmarked data on their calves can motivate improved colostrum management practices. Dairy farmers from British Columbia, Canada, were recruited through 2 veterinary clinics that offered benchmarking of calf data as part of their services. For approximately 8 wk, blood samples were collected from newborn calves to evaluate serum total protein concentrations as an indicator of the effectiveness of the farmer's colostrum management. These data were analyzed separately for heifer calves ("replacement calves") and non-replacement calves, including males and beef crossbred females ("surplus calves"). The results of these analyses were benchmarked against other participating herds and presented to dairy farmers (n = 27) by their herd veterinarian (n = 7). Follow-up interviews were conducted separately with the farmers and veterinarians after each meeting to determine their perspectives on the utility of this benchmarking strategy. Therefore, a total of 42 interviews were coded, and realistic evaluation was used to determine common contexts and mechanisms that contributed to the success or failure of the benchmark meeting, with success characterized by farmers' expressed intention to improve their colostrum management practices. Four important contexts were identified that influenced the outcome of the benchmark meetings: (1) farm resources (e.g., facility limitations), (2) the farmer's perception of their calf performance, (3) management strategies, and (4) the farmer's personal values. Depending on these contexts, some farmers intended to improve their calf care practices based on resources the benchmark meeting provided, which included illustrative data and veterinary advice. These resources motivated change through influencing farmer decision-making, which depended on the value they saw in the data as a decision-making tool. The economic or moral interest farmers expressed in their surplus calves also influenced whether farmers intended to implement management changes. Recommendations for future implementation of benchmarking include targeting producers who are motivated to improve and who value the future performance of their calves, those who have engaged calf care personnel, and those who prefer data-driven decision-making. This study supports the important role veterinarians can play in motivating improved calf care practices through providing benchmarking services. [ABSTRACT FROM AUTHOR]

Evidence on the factors that influence crossbred dairy cow adoption decisions and intensity by dairy farmers in the Debub Ari district is limited. This study provides empirical evidence on the determinants, perceptions, and constraints of crossbred dairy cow adoption decisions and intensity by dairy farmers through primary data sourced from 204 dairy farmers using a multi-stage sampling approach. Heckman's two-stage model, the perception index, and Kendall's coefficient of concordances were used for data analysis. This study found that there is a positive perception regarding crossbred dairy cows and a good attitude among farmers. However, less than fifty per cent of the dairy farmers had adopted crossbred dairy cows. Besides, the adoption decision of crossbred dairy cows is influenced by training, feed shortages, credit service, vet service, age, and experience; adoption intensity is influenced by extension services, vet services, feed shortages, and credit services. Therefore, the livestock sector of the district or regional government should work on the mentioned policy variables mainly related to the full package (feed, vet services, and credit access) of crossbreed dairy production because breed introduction alone does not enhance the adoption and intensity of using the technology. [ABSTRACT FROM AUTHOR]

Understanding trust between dairy farmers and other actors in the dairy chain, as well as the reciprocity norms among them are fundamental to encouraging collective action and decision-making to improve milk production and udder health. The objective of this study was to understand the relationships of trust between dairy farmers and other actors in the dairy chain related to udder health in the north of Antioquia. Mixed methods (cross-sectional and grounded theory) with a convergent triangulation design were used. A total of 216 dairy farmers participated in the quantitative component, and 17 dairy farmers and 9 veterinarians in the qualitative component, they were located in 9 milk-producing municipalities in the north of Antioquia. A characterization survey of the dairy farmers, a survey on reliability and udder health, an analysis of each farm's annual average BTSCC and CFU, and semi-structured interviews on the same topic were conducted. Problems were found in the biological indicators of udder health on the farms: BTSCC was poor for 67% of the dairy farmers, and CFU was poor for 22% of the dairy farmers. Veterinarians are the actors whom dairy farmers trust the most. Trust in dairy chain actors is complex, variable, and depends on many aspects. Trust representation, Socio-cultural Factors, Economic and Commercial Factors, Labor, Clinical and Laboratory Conditions of Milk, and Norms of Reciprocity constitute the categories of analysis when theorizing about trust and udder health. Each of the theoretical and emerging categories in this study describes actors, attitudes, behaviors, relationships between actors, and norms, allowing us to understand that trust between dairy farmers and other actors in the dairy chain in order to face the problems of udder health and milk production depends on technical processes, individual and collective human attitudes and behaviors, supply of services, political, regulative and economic determinants, the latter being transcendental in decision-making to invest in mastitis control and udder health care. [ABSTRACT FROM AUTHOR]

This study aims to study the effects of early weaning on the organ development and apparent digestibility of nutrients in lambs. A total of 36 crossbred healthy lambs (half male and half female) with a similar weight (9.5±1.2) kg and age (25.0±1.5) d were selected for rearing experiments, and randomly divided into 3 groups, namely control group, group Ⅰ, and group Ⅱ, each group of 12 sheep, divided into 3 replicates. The control group naturally lactated, group Ⅰ and Ⅱ group were fed milk substitutes A and B respectively. The lambs in the experimental group were pre-weaned at 25 days of age and completely weaned at 30 days of age, and fed with milk substitutes. At 90 days of age, two healthy lambs with a weight close to the average weight were selected for each replicate, and one was slaughtered and one was digested. The results showed that the difference in slaughter rate between the experimental group and the control group was not significant (P>0.05). Rumen, wrinkled stomach, small intestine fresh weight, lung, pancreas, spleen weight of control group were lower than experimental group, and the differences between group Ⅰ and control group were significant (P<0.05). Compared with the control group, the apparent digestibility of dry matter, organic matter and crude protein of group Ⅰ and group Ⅱ were not significantly different (P>0.05). The apparent digestibility of crude fat in the control group was significantly higher than that in the experimental group (P<0.05). It indicats that weaning feeding milk substitute at 30 days of age can help the organ development of lamb and will not have a significant effect on the digestibility of nutrients. The feeding effect of milk substitute A and B in this experiment was good, and it could be adjusted and utilized when the protein raw material soybean meal was in short supply and high price. [ABSTRACT FROM AUTHOR]

Heat stress remains one of the greatest threats to the economic viability of the dairy industry. The threat becomes even greater during warm and humid conditions, especially for those larger farms seeking to expand their operations. This study sought to develop and test a reliable and timely method that allows dairy farmers to monitor the body temperatures of their animals, using a compact, lightweight ear tag device, including a wirelessly rechargeable battery. The device is also capable of wirelessly transmitting a cow's subcutaneous temperature in real-time by means of an injectable, passive RFID biosensor. The outcomes showed that subcutaneous ear-base temperature (EBT) can synchronously follow the core body temperature (CBT) while also producing a comparable temperature gradient. That is, on average, the difference between a CBT and an EBT is 0.68 ± 0.35 °C. Based on regression models, the CBT of a cow can be accurately predicted based on EBT, with an average error of around 0.20 °C and as low as 0.11 °C by using a multivariate polynomial regression model, which includes external environmental conditions as well as the cow's health information, including milk production. The outcomes indicate that there is a consistent, predictable time lag between increases in microenvironmental conditions and increases in a cow's body temperature. These findings should enable dairy barn designers to develop and employ automated control-loop systems that utilise physiological feedback to improve management practices aimed at detecting heat stress and mitigating its effects in a timely manner, while minimising energy use. • An ear tag device was developed to transmit body temperature wirelessly in real time. • The subcutaneous ear base temperature readings were accurate under heat stress conditions. • There were time-consistent lags between the environmental THI rise and the body temperature increase. • A regression model based on subcutaneous temperature could accurately predict core body temperature. [ABSTRACT FROM AUTHOR]

In most low- and middle-income countries, milk is produced by smallholders, thereby contributing to the livelihood of their households. With the increasing importance of milk production in these countries, it is essential that milk quality is of a high level to ensure a safe product for consumers. It is, however, unclear whether smallholder dairy farmers are aware of the quality of their milk. The aim of this cross-sectional study was to gain insight on Indonesian smallholder dairy farmer awareness of milk quality parameters and to identify factors associated with the total plate count (TPC) and somatic cell count (SCC). A stratified sampling method was used to select smallholder farms in 4 districts in West Java, Indonesia, that were interviewed between August and September 2017. Factors putatively associated with awareness of TPC were investigated with multinomial regression models, whereas a Firth-type logistic regression was applied to identify factors associated with SCC awareness. Of the total 600 farmers surveyed, 264 (44%), 109 (18%), 170 (28%), 111 (19%), and 23 (4%) farmers were aware of TPC, total solid, fat content, milk density, and SCC, respectively, but did not know its value. Those that were conceptually aware of these quality parameters were generally unaware of their value. Furthermore, this study revealed that the following variables were significantly associated with dairy farmers' awareness of TPC: cooperative to which the farmer belonged, distance to neighboring dairy farmer, technology adoption index, TPC as the most important quality factor for the buyer, milk production information from cooperatives, and cow health information from veterinarians. Similarly, cooperative, dairy business experience, and milk quality test adoption were significantly associated with dairy farmers' awareness of SCC. Cooperative was the only variable that was significant in both final statistical models. This indicates that cooperatives play an important role in increasing farmer awareness of milk quality parameters in these smallholder dairies. This may be valid for other regions in the world also where milk production is dominated by smallholder dairy farmers. [ABSTRACT FROM AUTHOR]

Dairy farmers face challenges attracting and retaining staff, partly due to the difficulty meeting the desires of the modern workforce. These include flexible work hours and regular time off. The task of milking fundamentally affects the ability of dairy farmers to meet these desires. Milking contributes to a large proportion of the hours spent working on dairy farms. The number of milkings (milking frequency) and their timing (milking interval) within a day influence the number of hours spent milking and what time in the day they occur. Milking 3 times in 2 d (3-in-2) reduces the amount of time spent milking compared with milking twice a day (TAD), without reducing milk yield as much as milking once a day (OAD). However, long intervals between 3-in-2 milkings can still lead to a long workday if farmers are expected to work between milkings. The objective of this study was to determine the effect of milking interval within a 3-in-2 milking frequency on milk yield and composition at 2 stages of lactation and compare these with OAD and TAD milking. Cows (n = 200) were milked in 5 groups of 40 at 3 intervals of 3-in-2: 8–20–20 h, 10–19–19 h, and 12–18–18 h, along with 24 h (OAD), and 10 and 14 h (TAD), for 6 wk at early lactation (mean 24 d in milk ± 7 d, SD) and again at mid lactation (mean 136 d in milk ± 18 d). Milk yields were recorded at each milking and milk samples collected weekly to determine composition. At both early and mid lactation there were no significant differences in milk, fat, protein, or lactose yields between the three 3-in-2 intervals. Cows milked 3-in-2 produced 8% less milk than cows milked TAD and 14% more than cows milked OAD, with smaller differences observed at mid lactation between TAD and 3-in-2. For a 3-in-2 milking frequency, a shorter milking interval can be implemented on the days when cows are milked twice. This may allow farmers to shorten the working day when using 3-in-2, without compromising milk or component yields. [ABSTRACT FROM AUTHOR]

Automatization has changed the interaction between cows and humans in subtle ways. Automated milking systems (AMS) have been used commercially since the early 1990s, first in the Netherlands, then in Western Europe and North America, before reaching Finland. By 2021, nearly 27 percent of Finnish dairy farms have adopted them. Based on fieldwork at AMS farms and Finnish trade journal items, this article argues that as technology users, both humans and cows are engaged in agential entanglements with milking robots. It highlights challenges that cows and farmers face in learning to use the milking robot, how it impacts their working and living rhythms, and how the technologized work with AMSs is gendered among dairy farmers. [ABSTRACT FROM AUTHOR]

Summary: Food safety is a crucial aspect of human well‐being, covered under the second sustainable development goal (SDG). Sustainable food supply chains must ensure compliance with food safety standards from farm to fork. Consumers in developed countries are becoming ever more demanding regarding 'producers' compliance with food safety and quality standards. Most food products ending up in high‐end markets come from developing countries, predominantly agricultural economies characterised by fragmented and smallholder farmers. Owing to enhanced agricultural exports, developing countries are struggling to implement or improve food safety standards. This study examines the link between the willingness of smallholder dairy farmers to adopt minimum food safety standards and the country's ability to export agri‐food products. Moreover, it investigates the role of farmer's supply chain learning and level of value addition in this relationship. A cross‐section of 260 smallholder dairy farmers was surveyed from four districts of the Punjab province in Pakistan through purposive sampling. The data were collected using a questionnaire using a 5‐point Likert scale to gauge 'farmers' responses. The data were analysed using structural equation modelling (SEM) and confirmatory factor analysis (CFA). We found significant mediation of supply chain learning and value addition between compliance with minimum food safety standards and the country's export potential. This study contributes to the body of knowledge on food safety by testing its relationship with a country's export potential and the factors affecting this relationship. Moreover, it provides food for thought for policymakers in food safety. [ABSTRACT FROM AUTHOR]

The benefits of feeding calves more milk are increasingly being recognized by dairy farmers. However, most producers have still not implemented higher feeding plans. The aim of the present study was to gain a deeper understanding of farmer and farm staff attitudes, and the perceptions and factors considered in their decision-making regarding daily milk allowances. We collected data through focus group interviews with dairy farmers, farm managers, and calf-care workers who were selected using purposive and snowball sampling. In total, 40 persons (24 women and 16 men) joined a focus group interview (6 in all, each with 5–8 participants). Interviews were recorded, and recordings were transcribed and analyzed thematically. Participants had contrasting opinions about the minimum, maximum, and recommended daily milk allowances to their calves. Their suggested lowest daily milk allowance to sustain animal welfare ranged from 4 to 8–10 L and the maximum allowance from 6 to 15 L. We found that farmers' and farm staff's choices and recommendations of milk-feeding protocols were influenced by a large number of factors that could be grouped into 4 themes: (1) Life beyond work , (2) Farm facilities and equipment , (3) Care of the calves , and (4) Profitability and production. Participants' considerations were similar and aimed to maximize daily milk allowance based on farm conditions. However, the allowances they described as optimal for their calves often differed from what they considered practically feasible. We found that the care of the calves and the well-being of the owners and the staff was central in the participants' decision-making, but that this care perspective was challenged by the social and economic sustainability of the farm. Most participants fed their calves twice daily and did not think that increasing that number would be practically feasible. Our results indicate that the participants' viewpoints regarding calves were important for their decision-making about milk allowances. We suggest that a more holistic perspective should be used when advising farmers about milk allowances, putting particular emphasis on the caring and social sustainability aspects of the individual farm. [ABSTRACT FROM AUTHOR]

Simple Summary: Mastitis is a costly disease in dairy animals and significantly affects milk quality and quantity. The milk somatic cell count (SCC) is an acceptable method for diagnosing intramammary infections and evaluating the quality of milk. Mastitis is a multifactorial disease augmented by poor farm hygiene and milking practices. Therefore, the aim of the present study was to understand dairy farmers' knowledge about mastitis control, farm hygiene, milking practices, teat dipping, milk quality, milk SCC, the total bacterial count, social responsibility, etc., and its association with the bulk tank SCC using a structured questionnaire. The socioeconomic profiles, attitudes, and knowledge of farm managers from 63 dairy farms were analyzed. It was concluded that various parameters, such as the economic impact of mastitis, milking procedures, methods for subclinical mastitis detection, the awareness of the legal requirements of the SCC, and the total bacterial count (TBC), were associated with the SCC in bulk tank milk of dairy herds. The primary objective of this study was to investigate the association between the bulk tank somatic cell count (SCC) and dairy farmers' knowledge about milk quality, mastitis control, and their socioeconomic characteristics. Additionally, we estimated the association between the bulk tank SCC and bulk tank milk hygienic quality in dairy herds. Bulk tank milk samples from 120 dairy herds enrolled in the milk quality payment program were collected for the determination of the SCC, the total bacterial count (TBC), the preliminary incubation count (PIC), the laboratory pasteurization count (PC), and the coliform count (CC). Based on the bulk tank SCC results, 63 herds were selected and categorized into three groups: (a) low SCC: ≤250,000 cells/mL (n = 16); (b) medium SCC: >250,000 ≤ 400,000 cells/mL (n = 24); and (c) high SCC: >400,000 cells/mL (n = 23). Socioeconomic profiles, attitudes, and knowledge of somatic cell count and milk quality were assessed using previously tested questionnaires, which were used to interview the herd managers of the 63 selected dairy herds. Among the findings, 87.0% of the dairy herds had an SCC < 400 × 103 cells/mL, and presented milk production as the main economic activity of the farm, whereas only 47.0% of dairy herds with an SCC > 400 × 103 cells/mL had milk production as the main economic activity of the farm (p < 0.031). In a total of 95% of the selected herds (n = 60), milking machines were used, with pipeline milking machines being more predominant, accounting for 70.8% in herds with a medium somatic cell count (SCC) and 78.3% in herds with a high SCC, as opposed to herds with a low SCC at 50% (p < 0.031). The frequency of dairy producers' awareness of the maximum legal requirements for the bulk tank SCC and TBC was higher in herds with a higher SCC than in herds with a medium SCC. In conclusion, the results of this study indicate a significant association between the bulk tank somatic cell count (SCC) and dairy farmers' knowledge about milk quality, mastitis control, and socioeconomic characteristics. These findings emphasize the importance of knowledge and the socioeconomic profiles of dairy farms in maintaining and enhancing milk quality in dairy herds. [ABSTRACT FROM AUTHOR]

Background: In the context of zoonosis, Bangladesh's small‐scale dairying is yet to frame satisfactory levels due to poor biosecurity practices. Objectives: This study intended to reveal the degree of knowledge, attitudes and biosecurity practices among Sylhet district, Bangladesh's small‐scale dairy farmers. We also focused on the association between biosecurity practices and the incidence of non‐specific enteritis in humans. Methods: A questionnaire‐based survey was conducted on the farmers' KAP via personal interviews of 15 farmers from the randomly selected fifteen small‐scale dairy farms. The questionnaire was developed with 6 questions for knowledge, 6 questions for attitude and 12 questions for the practice of biosecurity measures. Alongside that, data on the number of non‐specific enteritis cases experienced by the farmers or their family members were also recorded. Spearman correlation was used to find out the correlation among KAP variables and between practice scores and non‐specific enteritis incidences. Results: We found an insignificant (p > 0.05) influence of demographic characteristics over knowledge, attitude and biosecurity practices. Significant (p < 0.05) and strong correlations were found in knowledge–attitude (r = 0.65), knowledge–practice (r = 0.71) and attitude–practice (r = 0.64). Incidences of non‐specific enteritis and biosecurity measures' practice were also strongly correlated (r = −0.9232) and statistically significant (p < 0.05). Conclusions: Our study suggests that increasing knowledge and developing a good attitude are necessary to increase the adaptation of biosecurity measures as three of these factors are correlated. Moreover, farm biosecurity measures are closely related to human health. [ABSTRACT FROM AUTHOR]

In recent years, the common dairy farming practice of early separation of dam and calf has received increased attention. Our aim was to explore how Norwegian dairy farmers with cow-calf contact (CCC) systems apply these systems in practice, and how they experience and perceive the interrelationships between cows and calves and humans within these systems. We conducted in-depth interviews with 17 farmers from 12 dairy farms and analyzed responses inductively, inspired by the grounded theory approach. The farmers in our study practiced their CCC systems differently from each other and had varying as well as common perceptions about these systems. Calves' intake of colostrum was not seen as a challenge, regardless of practice. The farmers generally perceived that any aggression shown by cows toward humans was merely an exhibition of cows' natural protective instinct. However, when the farmers had good relationships with their cows and the cows felt safe around them, the farmers could handle the calves and build good relationships with them as well. The farmers experienced the calves learning a lot from their dams. Most of the farmers' dairy housing systems were not adapted for CCC, and CCC systems could require modification in terms of placing greater emphasis on observing the animals and making adjustments in the barn and around milking. Some thought having CCC on pasture was the best and most natural, while others were reluctant to have CCC on pasture. The farmers encountered some challenges with stressed animals after later separation, but several had found methods to minimize stress. Generally, they had different opinions about workload, but agreed they spent less time on calf feeding. We found that these farmers were thriving with their CCC systems; they all described positive emotions around seeing cows and their calves together. Animal welfare and natural behavior were important to the farmers. [ABSTRACT FROM AUTHOR]

Background and Aim: Antibiotic resistance is a component of antimicrobial resistance and is often referred to as the silent pandemic. It is one of the causes of global health problems that must be addressed. Resistance occurs due to frequent misuse and overuse of antibiotics by dairy farmers. Therefore, this study aimed to examine the influence of the characteristics of dairy farmers and analyze the variables that directly and indirectly affected the knowledge, attitudes, and practices (KAP) of dairy farmers regarding antibiotic resistance in a dairy farmers’ cooperative in North Cianjur. Materials and Methods: A cross-sectional design was used with a structured questionnaire validated by Pearson correlation and reliability tested with Alpha Cronbach. Data were obtained from interviews with 75 dairy farmers in KPSCU, Cianjur District, West Java, Indonesia. The outcome variables were analyzed using descriptive and pathway analyses. Results: The results showed that dairy farmers had good and sufficient knowledge (42.7%), the attitude level was positive (81.3%), and all farmers had sufficient practices (100%). The results also showed that most dairy farmers were over 40 years of age, with 54.7% having elementary school education. Approximately 50.7% of farmers had been engaged in breeding for 10–20 years, 80% owned their livestock, and 76% had attended training. There was a significant relationship between age, education, training, and knowledge level. Knowledge was the primary factor influencing the overall attitude. In addition, age, education, type of business, knowledge, and attitude were factors that influenced the practice of antibiotic resistance. Conclusion: Training and education really influenced KAP of farmers. Therefore, the best way to reduce antibiotic resistance is by increasing farmers’ knowledge and understanding of antibiotic resistance and monitoring the use of antibiotics. [ABSTRACT FROM AUTHOR]

This study aims to analyze the production efficiency of dairy cattle business in Cisarua Bogor District. The research focuses on identifying factors that affect production efficiency and provides recommendations for improving the efficiency of dairy cattle business. The study utilizes a quantitative research approach and collects data through a survey questionnaire administered to dairy cattle farmers in Cisarua Bogor District. The findings of this research contribute to the understanding of the factors influencing production efficiency in the dairy cattle industry. The results highlight the importance of precision feeding, genetic factors, and farmers' skills in promoting production efficiency. The implications of these findings for dairy cattle farmers and recommendations for future research are discussed. [ABSTRACT FROM AUTHOR]

Smallholder producers in developing countries often collaborate in teams that take advantage of scale economies and allocate surplus among members. We experimentally evaluate team-level incentive contracts for quality upgrading among Indian dairy cooperatives where there is a risk of free-riding because individual quality cannot be traced. Incentives improve aggregate quality, with evidence of increased effort from both producers and cooperative managers. However, several managers decline incentive payments when they cannot control how payment information is disclosed to cooperative members. Survey evidence indicates publicity lowers managerial returns, suggesting transparency-based efforts to constrain elites can undermine the core policy goal. [ABSTRACT FROM AUTHOR]

Forty-seven dairy buffalo farmers from General Trias, Cavite, Philippines were interviewed using constructed questionnaires to describe their breeding and feeding management practices before and after the ease of the pandemic. The problems encountered and government services that were provided were also included. The stages of the pandemic were divided into three phases namely: pre-pandemic or Phase 1 (before and until 12 March 2020); the peak of the pandemic or Phase 2 (12 March 2020 - 28 February 2022); and Alert Level 1 or Phase 3 (01 March 2022 - 31 December 2022). Results showed a decreased use of AI and bulls in Phase 2 due to lockdowns and travel restrictions that temporarily hindered the breeding services in the locality. However, no changes were observed in the price per service for both breeding systems throughout the three phases. Most respondents (Phases 1; 63.83%, 2; 61.70%, and 3; 65.96%) practiced both pure grazing and cut-and-carry systems to feed their buffaloes. However, 59.58% did not add different types of feeds in Phase 2 because of limited mobility in the area. Moreover, the increasing price of feeds in Phases 1 (Php 21.13), 2 (Php 24.67), and 3 (Php 26.26) was attributed to limited transport. Meanwhile, the difficulty of harvesting grasses and buying feeds were the major challenges in feeding the buffaloes which was evident in Phase 2. In conclusion, the pandemic temporarily hindered the breeding and feeding activities of the respondents in Phase 2 but they slowly recovered when the travel restrictions and strict lockdowns were lifted in Phase 3. [ABSTRACT FROM AUTHOR]

This study aims to examine the perception of farmers on climate variability and change and what aspects were most affected by climate variability and change as well as what adaptation strategies can be carried out by farmers. This study was conducted in July – September 2021 at the dairy farm of a livestock farmer group in the city of Salatiga, Central Java Province, Indonesia. A total of 286 farmers from a total of 11 groups were used as respondents in this study. Each group had 26 ± 10.94 dairy cows. Data were obtained through interviews and filling out questionnaires. Descriptive statistical analysis and Friedman’s test (K-related sample test) with SPSS version 25 were used to analyze the data. The percentage of farmers who believe in the phenomenon of climate change was higher than those who do not. In general, farmers know about climate change through personal observations. Most farmers feel that the temperature continues to increase every year, but during the rainy and dry seasons, there was no change. Based on the farmer’s perception, the biggest impacts caused by climatic conditions were the availability of forage and water and milk production. Adaptation strategies that can be carried out by farmers to overcome the availability of feed were making silage, using agricultural waste and the role of the government was needed to provide concentrated subsidies. Drilling wells and rainwater storage can be used as a strategy to overcome restrictions on water availability [ABSTRACT FROM AUTHOR]

The general practice of selection of dairy animals concentrating high milk production has unwanted consequences like occurrence of health problems and fertility issues. Functional traits, including health and fertility, have significant genetic association with production and reproduction performance traits. Functionally superior dairy cows are healthy and sustained producers of healthful food for calves and human consumption. Improvement in functional traits rises the economy of dairy farmers by reducing the cost of input. These facts emphasised the inclusion of functional traits along with other economically important traits in selection criteria for the improvement of dairy animals. Hence, most of the dairy advanced countries have included genetic evaluation of functional traits as a routine practice in their dairy cattle selection programmes. In India, comparatively limited works have been carried out on functional traits and it suggested exploring more on this area for further development of the dairy sector. This review details the importance of inclusion of functional traits in genetic evaluation of dairy cattle for overall development of the dairy industry. [ABSTRACT FROM AUTHOR]