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Background: Reducing antimicrobial resistance (AMR) requires a multidisciplinary One Health approach, which necessitates buy-in from all stakeholders. In Aotearoa New Zealand, where the dairy industry is one of the largest users of antimicrobials, there are ongoing efforts to optimise antimicrobial usage (AMU) to minimise the development of AMR. These include regulations around the veterinary authorisation of the use of antibiotics by farmers without the need for a specific prescription ("the RVM process") and programmes such as the New Zealand Veterinary Association's antibiotic 'Traffic Light System'. The goal of this pilot survey was to develop and trial a questionnaire to determine how much Aotearoa dairy farmers understand about One Health, AMR, the RVM process and how their actions regarding AMU affect the wider environment. Methods: A 55-question semi-structured questionnaire was piloted on 15 dairy farms in the Lower North Island of Aotearoa New Zealand via an in-person semi-structured interview between September and November 2021. Results: None of the interviewed farmers could define the term One Health. However, the majority found the RVM process to be of use on their farm, although admitted they generally felt frustration regarding AMR, seeing it as a blockage to productivity, and lacked awareness regarding how their actions were related to its development. Of the farmers interviewed over half had not heard of the traffic light system, and of those who had, one admitted they refused to adhere to it. Conclusions: This survey's novel findings have highlighted that there are notable gaps within dairy farmer understanding of AMU, AMR and One Health as well as highlighting that veterinarians could do more to keep their clients informed of their important role within One Health. There is still a lot more work to do with regards to vets, farmers and industry representatives working together to embrace One Health. Simple solutions would be to encourage farmers returning unused drugs to their veterinarians for correct disposal and to actively engage farmers further regarding AMU and AMR, so that these end-product users do not feel disconnected from the process. [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]

This paper analyzes the impact of participation in farmer groups on dairy farmers' adoption of sustainable farming practices in New Zealand. A spatial propensity score matching method is used to consider the spatial dependence and social connections between farmers in the decision‐making of farmer group participation and adoption of sustainable farming practices. The results show that farmers' decisions of farmer group participation are affected by their neighbors' choices, and participation in farmer groups has a positive effect on farmers' adoption of sustainable farming practices. The findings indicate the important role of social interactions in farmers' voluntary uptake of sustainable agricultural practices. Overall, the positive effect of farmer group participation on the adoption of sustainable agricultural practices highlights learning and knowledge spillover among farmers, which emerges as important to the formulation of sustainable farming policy. [ABSTRACT FROM AUTHOR]

With a great percentage of farms in NewZealand as pastures, they aremainly important in contributing to the milk and meat industries. Pasture quality is highly affected by weeds.Weeds grow fast and invade pastures by seed pollination. They consume the nutrients,water, and otherminerals, and once they are bitter, cattle do not eat them. Therefore, dairy farmers have to allocate a significant portion of their budget and time to monitor and clean weeds. Unfortunately, most weed management tasks are manual with no consistent technology. Thus, the motivation behind this article was to design an object detection model for weed monitoring and control in pastures. The model was designed and tested on California thistle, a dominant and widespread weed on New Zealand pastures. Our study is one of the major model designs for identifying weeds in an inpasture environment, one of the most complicated environments for any object detection model. A synthetic methodology was used to create three types of datasets: plant-based, leaf-based, and mixed. The trainedmodel based on the leaf-based dataset is one of the major contributions of our work and has not been conducted by any other weed detection models. After models had been trained, tuning experimentation was undertaken to improve the model's performance. This involved studying the model's hyperparameters in various ranges and then recording their values at the optimum points. The improved model showed a 93% mAP accuracy in the detection of training images and over 95% accuracy for testing images. The experimentation showed that the leaf-based model was slightly better than other models. The model can automate highly any weed management system. The use of this model will save farmers time and money and help them reduce the errors of manual work. [ABSTRACT FROM AUTHOR]

The agricultural sector faces increasing social pressure for its environmental impacts, potentially prompting farmers to uptake voluntary 'good management practices' (GMPs). While the existing literature posits that uptake of GMPs is prevalent in observable places such as along busy roads, there is a lack of quantitative empirical evidence. This study identifies whether perceived busy road frontage impacts farmers' adoption of voluntary GMPs via a large-scale survey of dairy and sheep and beef farmers in New Zealand. We find that frontage on a busy road is associated with greater uptake of a GMP that is easily observed and recognised by the general public, but GMPs not visible from the road do not show greater uptake. We further find that the effect is amplified for dairy farmers vis-à-vis sheep and beef farmers, consistent with the higher levels of public scrutiny of the dairy industry. We contribute to the social pressure literature by demonstrating how visible GMPs subject to scrutiny are likely to have higher uptake. • Social pressure pushes industries to change. • One way farms are subject to this pressure is through visibility from the road. • We find busy road frontage increases adoption of visible Good Management Practices. [ABSTRACT FROM AUTHOR]

The impacts and implications of climate change – such as floods, droughts, heavy rainfall and increased regulation – are affecting dairy farming practices in the lower South Island (Te Waipaounamu) of Aotearoa-New Zealand. Adapting to these changes, in an equitable and transformational manner, is dependent on understanding the underlying root causes of vulnerability alongside local knowledge and values. We apply an intersectional values-based and contextual analysis to describe how past and present processes of agrarian change interact across different farmer identities to influence adaptive pathways. Local knowledge, place-based experience, values and perceptions of fairness intersect with different facets of a farmer's identity – such as financial capacity, land ownership status, debt arrangements, age and gendered participation – to enable or constrain adaptive action. Notably, notions of fairness, whether real or perceived, vary across farmer groups, and influence the kinds of adaptation activities that dairy farmers are willing, or potentially able, to engage in. The results call for more contextualised engagement with farming communities, and highlight the need to build a shared understanding of the complex historical, social, economic, cultural and environmental drivers of past, present and future change, in this highly productive, yet risky, agricultural landscape. • Intersectional values-based and contextual analyses help identify the barriers and enablers to transformational climate change adaptation in dairy farming contexts. • Dairy farmers' adaptive capacity is socially and economically differentiated, and influenced by experience, values and perceptions of fairness. • Greater contextualised engagement with dairy farmers is needed, without undermining environmental and greenhouse gas reforms. [ABSTRACT FROM AUTHOR]

Climate change represents complexity for farmers in that events resulting from climatic changes can be concurrently abrupt, extreme, persistent, and can span boundaries. This can create complexity and difficulty for organisations in terms of how they make sense to act. To understand sensemaking processes, we explored climate change by studying a drought event. Relying on qualitative methods and a sample of dairy farmers in New Zealand who experienced a drought event over the decade 2003–2013, findings suggest that dairy farmers made sense by their: (1) embedded, immersive experience on farms; (2) use of ecological material; and (3) community interaction. Our findings extend insight into sensemaking processes, particularly in the areas of routine perspectives, the use of natural material objects, and the social nature of making sense. Implications are relevant to practitioners who work in farm associations, extension services and policy-making who have roles requiring them to communicate about climate change to farmers. We describe contributions, limitations, and opportunities for future research. [ABSTRACT FROM AUTHOR]

Separation of the cow and calf shortly after birth is a common practice on commercial dairy farms around the world, but there are emerging concerns about this practice among citizens and other stakeholders. Continuous improvement of on-farm management practices in collaboration with dairy sector stakeholders increases the likelihood that farming systems evolve in a way that is consistent with societal expectations. Few commercial dairy farms provide extended cow-calf contact, and there is little understanding of how dairy farmers view this practice. This study examined the views of New Zealand dairy farmers toward providing cow-calf contact, particularly the barriers to adopting such a system in a seasonal-calving pasture-based dairy system. Standard farm practice in New Zealand is to remove the calf from the cow around 24 h (but could be up to 48 h) after birth. These conventional farmers (n = 63) were randomly selected from the database of all dairy farmers in New Zealand and telephone-interviewed using a semistructured interview format. Their responses to questions about providing cow-calf contact (defined as contact beyond the standard practice of 48 h) were analyzed using thematic analysis. Three major themes of concern were identified by these farmers about providing cow-calf contact as follows: (1) poor animal welfare, especially the risk of mastitis in the dam, inadequate colostrum for the calf, increased stress from delayed separation, and lack of shelter for calves while outdoors with the cow; (2) increased labor and stress on staff; and (3) system-level changes required, including infrastructure and herd management. Many of these concerns stemmed from challenges related to the nature of large-scale seasonal-calving pasture-based dairy systems, where a large number of calves are born in a short period of time and may be exposed to inclement weather in late winter in some areas. Several small-scale farmers (n = 4) providing cow-calf contact for longer than standard practice of 48 h were also interviewed; all permitted contact for at least 4 wk. These farmers also felt that animal welfare and health were important, and that this was promoted in their cow-calf contact systems. Concerns about colostrum and mastitis, for example, were not raised by these farmers, but they did agree that additional infrastructure and shelter were important considerations for cow-calf contact systems. Some conventional farmers expressed cognitive dissonance in that they theoretically preferred cow-calf contact but could not see it being realistic or practical to implement. Farmers currently providing longer cow-calf contact may be a useful resource for better understanding of how practical and economical cow-calf contact systems could be adopted on commercial pastoral dairy farms. [ABSTRACT FROM AUTHOR]

Globally, the agricultural sector is linked to negative environmental outcomes, such as water quality and biodiversity deterioration. Consequently, agriculture faces increasing scrutiny by external stakeholders, such as the public and the media. The increasing environmental concerns and public scrutiny present challenges for agricultural producers to maintain stakeholder support, particularly in light-touch regulation countries such as New Zealand (NZ), where governmental intervention is low and stakeholders are able to influence the overall perception of farming. The theoretical concept of 'organisational legitimacy' has previously been used to study evolving social pressures, and refers to the informal approval or acceptance that stakeholders, such as the public, scientists, policy-makers, and local communities, grant to an individual business or sector. To identify how an agricultural sector copes with stakeholder acceptance, our study focuses on identifying strategies NZ dairy farmers adopt to retain stakeholder approval. Twenty-six dairy farmers were interviewed about changes they had made over the last five years, the motivation behind that change, and how stakeholder perceptions played a role in their businesses. Interviewees applied a combination of immediate responses to negative environmental contributions, and long-term responses to anticipate or avoid further challenging events. The study contributes to literature by introducing a theoretical lens novel to the study of stakeholder pressure on agricultural practices: organisational legitimacy. Furthermore, the study provides insights regarding the influence of stakeholder perspectives on farmer behaviour in a light-touch policy environment. • The agricultural sector faces external stakeholder pressure. • Stakeholder pressure is influencing the acceptability of farming activities. • Acceptability is key in obtaining critical resources for farm survival. • To establish sustained acceptability farmers apply short and long term strategies. • Main strategies include acknowledgement, leadership and co-construction. [ABSTRACT FROM AUTHOR]

To explore recommendations that New Zealand veterinarians make for diagnosing and managing bovine viral diarrhoea (BVD) in cattle herds under different clinical scenarios and their opinions towards potential barriers and opportunities for implementing BVD control programmes in New Zealand. A cross-sectional survey of registered veterinarians in New Zealand was conducted in 2019. Respondents were asked about the approaches they would use to manage BVD under different clinical scenarios as well as their opinions on national BVD control. A subset of veterinarians completed a more in-depth survey providing additional free-text responses on a range of different BVD topics. Descriptive statistics were provided for all quantitative study variables and the free-text responses were also analysed to generate further insights into veterinarians' perceptions towards BVD management. The cross-sectional survey was completed by 101 of an estimated 870 (11.6%) cattle veterinarians. Thirty-five veterinarians completed the in-depth survey. There was wide variation in the BVD diagnostic testing and vaccination protocols that respondents recommended under different clinical scenarios. Annual bulk milk BVD testing was perceived as a valuable tool for initiating BVD discussions with dairy farmers. Respondents indicated that beef farmers were more difficult to engage in BVD control largely due to the logistical challenges of yarding cattle at the appropriate times to implement interventions, with many farmers only contacting veterinarians after experiencing a BVD outbreak Most respondents (91/101; 90%) believed it was possible to eradicate BVD from New Zealand, but cited lack of farmer awareness and poor compliance with management recommendations as significant barriers. The measure with the most support for inclusion in a compulsory national eradication programme was requiring farmers to declare the status of their animals prior to sale while the least supported measure was requiring farmers to double fence boundaries to prevent nose-to-nose contact with neighbouring stock. Although respondents highlighted the need for farmers and industry to support any national eradication programme in order for it to be successful, there was also recognition that veterinarians could be more pro-active in engaging with farmers particularly in discussions around the economics of BVD. While the survey respondents appeared to be highly supportive of BVD control, it was perceived that financial and logistical barriers existed that could impede farmer engagement. Further extension efforts may be needed to ensure that veterinarians are presenting clear and consistent recommendations about BVD management to farmers. Abbreviations: BVD: Bovine viral diarrhoea; NAIT: National Animal Identification and Tracing System; PI: Persistently infected [ABSTRACT FROM AUTHOR]

The objective of this study was to compare breed proportions, genetic merit, milk production and survival of carryover and non-carryover dairy cows in New Zealand. Calving interval was used as a tool to identify cows that had an extended non-lactating period and then returned to a milking herd. A greater proportion of Holstein-Friesian was observed in the breed composition of the carryover cows. Estimated breeding values (EBVs) for milk traits were greater, but the EBVs for fertility were lower for carryover cows, than those for non-carryover cows. Carryover cow genetic merit values were greater than those for non-carryover cows in the year prior to their carryover period. Carryover cow milk production was significantly greater than that of non-carryover cows. The average survival days and probability of survival for second-lactation carryover cows was lower than that for first-lactation and lactation-matched non-carryover cows. These results are important for culling decisions made by pastoral dairy farmers. [ABSTRACT FROM AUTHOR]

For a variety of reasons, dairy sector indebtedness has increased in recent years. However, it is not clear whether increased debt boosts or damages the economic performance of dairy farms. This paper provides empirical evidence by exploring the effects of farm debt measured by debt-to-asset ratio on dairy productivity and profitability, using the New Zealand DairyBase data of 2,637 dairy farms for a 10-yr period 2005 to 2014. A fixed-effects panel data model is utilized for the empirical analysis. The findings show that farm debt is significantly and negatively associated with both dairy productivity and profitability. We find that dairy productivity is positively determined by production intensification, irrigation intensity, milking frequency, cattle breeds and stocking rate, whereas dairy profitability is positively affected by milk price, business type, milking frequency, and stocking rate. Further analyses reveal that the debt ratio significantly decreases both the technical efficiency of dairy farms and return on assets; a high debt ratio increased dairy productivity between 2005 and 2009, whereas it decreased dairy productivity between 2011 and 2014; the effects of the debt ratio on dairy profitability vary over time. The analysis for a 10-yr balanced panel data (250 farms) shows that debt ratio does not significantly affect both dairy productivity and profitability, which suggests that the presence of farm-specific attributes such as farm life cycle and managerial ability of dairy farmers may also affect the debt ratio and through this farm performance. [ABSTRACT FROM AUTHOR]

To attract and retain quality employees, dairy farms must be competitive with other workplaces offering more conventional hours of work. Milking requires significant labor input and influences the start and end times of the working day, affecting flexibility to suit employee needs or availability. The use of labor-saving technology and milking management strategies could help with this challenge. Previous studies have used scenario modeling in attempt to quantify the value of in-parlor technologies, however, they have relied on assumptions about the effect of the technologies on labor in the dairy. Similarly, the effect of management strategies on work patterns, such as flexible milking intervals (changing the timing of milking), has not been evaluated. The aims of this study were to (1) quantify the milking labor requirements in a range of pasture-based dairy farm systems and (2) identify practices or technologies that facilitate efficient milking. A telephone survey of 500 dairy farmers in New Zealand was conducted during April and May 2018, with questions asked about milking practices and technology use. Predictive analysis showed that at peak lactation, milking required between 17 and 24 h/wk per worker for farms milking twice a day, representing 43 to 58% of a conventional 40-h work week, depending on parlor type (herringbone or rotary), the number of clusters, and herd size. Using milking intervals of 8 and 16 h (intervals between milkings), compared with the more usual 10 and 14 h, largely avoided starting milking before 0500 h. Eight percent of herds were milked once a day, which required between 7 and 14 h/wk per worker (18–35% of a 40-h week). ANOVA showed that for metrics that related to people (labor efficiency and work routine), using automatic teat spraying had a positive effect on efficiency. Having both automatic cluster removers and drafting were associated with longer milking times in terms of throughput and row/rotation time compared with using drafting only. The results highlight considerable opportunity to reduce the number of hours those milking (employers and employees) spend in the parlor and increase staff time flexibility through milking (e.g., intervals between milkings) and parlor management (e.g., row/rotation time) and use of specific technologies. This study provides useful data for those wishing to analyze the likely value of an in-parlor automation technology or management practice for an individual situation. [ABSTRACT FROM AUTHOR]

Globally, dairy farmers face issues with attracting and retaining high-quality staff. In the present study, a qualitative research method was used to explore the current challenges in relation to people on farm, the approaches currently used by farmers to make dairying more attractive and productive for people, and perspectives on the challenges for attracting and retaining people on future farms. Current challenges were in the areas of recruitment, productivity, skills and learning, farm and industry structural issues, and impact of farm profitability on ability to implement new people practices. Participants' vision of the future dairy workplace was one that is highly dynamic, more open to consumers and the community, and largely data-driven. We suggest that dairy workplace research priorities focus on the design and testing of new systems to provide people with meaningful work and a good lifestyle, without compromising profit. Specific priorities include using new ways of connecting and communicating to create engaged and effective teams, developing flexible farm teams who deeply understand their role in the value chain and the consumer connection, defining the opportunity for technology to make the job easier and more enjoyable, developing farm systems that are safe, innovative, and provide a good career, and helping farming businesses demonstrate their people performance to consumers. Globally, dairy farmers face issues with attracting and retaining high-quality staff. Future management of dairy farms will demand farm teams with flexibility, understanding of consumer and community expectations, and the ability to effectively use technology, only exacerbating the challenge of finding the right staff. The present study used workshops and interviews with experts to examine people-related challenges associated with future dairy farms, and we suggest research and development priorities for the next decade. [ABSTRACT FROM AUTHOR]

There have been several analyses of the economics of pastoral dairy farm systems in New Zealand using real farm data, as well as several relevant international studies. However, these analyses have often used a dataset with a limited number of years that do not reflect long-term exposure to volatility, or do not allow for regional differences, and often focus on imported feed without due attention to other important characteristics of profitable farms. Several prior analyses have failed to consider the importance of a business that is resilient to major risks. We re-examined the relevance of their conclusions for New Zealand dairy systems against 12 years of DairyBase data, focussing on two major regions, deriving key insights on relevant strategic choices for profitable and resilient businesses at a farm and, by extension, industry level. Within years and regions, the top quartile of observations was identified, on the basis of ranking by operating return on assets, as a proxy for farms achieving their potential, and compared with the remaining observations. Within geographical region, the greater profitability of the top quartile was associated with greater pasture and crop eaten, greater stocking rate and production per cow, and lesser operating expenses per hectare and per kilogram milksolids (MS), defined as fat plus protein. However, greater profitability was not associated with greater use of imported feed. Linear regression was used to determine that increases in total operating expenses were associated with increases in the costs of imported feed (including winter grazing and silage made on farm). On average, for every NZ$1 spent on imported feed, total costs increased by NZ$1.66 and NZ$1.53 for the Waikato and Canterbury–Marlborough regions, respectively. This is consistent with the international literature for temperate grazing systems and is likely the reason why profitability was not greater even if above-average responses to supplement were achieved on farm. Indeed, greater use of imported feed was positively associated with operating expenses per kilogram of MS, implying that the marginal cost of additional MS was greater than the cost of the base milk, and often higher than the value of the milk produced. If gross farm revenue per kilogram MS (which is largely made up of the milk price, with a lesser contribution from livestock sales) was greater than NZ$7.50 (which it was the case in only 3 of the past 12 years), farms could generate higher profit from more imported feed use; however, the reverse was true at lower milk prices. When milk prices are low, (i.e. gross farm revenue is less than NZ$6.50/kg MS, which occurred in half of the past 12 years), farmers are often under cashflow pressure. Therefore, farm systems that are less reliant on imported feed provide a better chance for farmers to meet financial commitments, although they fail to maximise profitability when the milk price is high (e.g. >NZ$7.50/kg MS). In conclusion, maximising pasture harvested, and minimising reliance on supplementary feed, and effective cost control (minimising expenditure) are the key factors that lead to profitable businesses that are also resilient to the low milk prices that occur in volatile markets. Dairy farmers in pastoral systems face several risks, including price volatility. Farm data were used to understand how to be profitable and able to withstand these risks. We concluded that maximising pasture harvested, and minimising reliance on supplementary feed, and effective cost control (minimising expenditure) are the key factors that lead to profitable businesses that are also resilient to the low milk prices that occur in a volatile market. [ABSTRACT FROM AUTHOR]

Dairy farmers are adopting precision technologies to assist with milking and managing their cows due to increased herd sizes and a desire to improve labour efficiency, productivity and sustainability. In the present study, we evaluated the adoption of technologies installed at or near the dairy, and milking practices, on New Zealand dairy farms. These data quantify current use of technology for milking and labour efficiency, and decision-making, and provide insight into future technology adoption. A telephone survey of 500 farmers, randomly selected from a database of New Zealand dairy farms, was conducted in 2018. Adoption for all farms is indicated for six automation technologies, including automatic cup removers (39%), automatic drafting (24%), automatic teat spraying (29%), computer-controlled in-shed feeding (29%), automatic plant wash (18%) and automatic yard wash systems (27%). Five data-capture technologies also included in the survey were electronic milk meters (8%), automatic animal weighing (7%), in-line mastitis detection (7%), automatic heat detection (3%) and electronic animal-identification readers (23%). Analysis by dairy type indicated an adoption level for the automation technologies in rotary dairies of 36–77%, and 7–49% for data-capture technologies, with 10% having none of these 11 technologies installed. This compares with herringbone dairies at 4–21% and 2–11% for automation and data-capture technologies respectively, with 56% having none of these technologies. Rotary dairies, with a combination of automatic cup removers, automatic teat spraying, and automatic drafting, were associated with 43% higher labour efficiency (cows milked/h.person) and 14% higher milking efficiency (cows milked/h) than were rotary dairies without all three technologies. Dairy farmers will increasingly use technologies that deliver value, and the present study has provided information to guide investment decisions, product development and research in areas such as applying technology in new workplaces. Precision-farming technologies are receiving greater attention by researchers and policy makers for potential improvements in farm management. New Zealand dairy farmers have focussed on investment in automation technology in the dairy, some of which provide greater labour efficiency, rather than investing in data-capture technology for decision support. Further improvements in labour efficiency from technology in high-performing conventional dairies may be limited, and adoption of data-capture technologies may need to accelerate to support an increasingly diverse and less experienced workforce. [ABSTRACT FROM AUTHOR]

The invertebrate pests most commonly affecting New Zealand's pastoral-based production in 'average' years cause losses of between $1.7B and $2.3B p.a. of which up to $0.9B occur on sheep and beef farms and $1.4B on dairy farms. The native scarab grass grub is the most costly pest causing losses of $140-380 M on dairy farms and $75-205 M on sheep and beef farms annually. The exotic scarab, black beetle, although only affecting approximately 1 M ha, costs dairy farmers up to $223 M and sheep and beef farmers up to $19 M annually. Porina cause losses up to $84 M and $88 M respectively. Pasture nematodes are estimated to cost up to $274 M p.a. for dairy farmers and $326 M p.a. for sheep and beef farmers. Two exotic pests, Argentine stem weevil (ASW) and clover root weevil (CRW) are causing damage estimated at up to $200 M p.a. and $235 M p.a. respectively in dairy and sheep and beef pastures. While CRW is subject to successful biological control management it still causes considerable losses. Lesser pests also contribute to lost production, particularly as they often coexist with more major pests. However, their economic cost to New Zealand is difficult to calculate due to the variable nature of infestations on both temporal and spatial scales. At farm and paddock level, it is abundantly clear that substantial savings could be made if pest management is achieved. It is equally clear that in many instances the tools to do so are limited but if developed would contribute substantially to farm profitability. [ABSTRACT FROM AUTHOR]

Human capital is an important resource in primary production impacting on farmers' decisions and actions. Given their current and expected economic environment, farmers must use their human capital in mapping out a trajectory for their farm. This study considers particular aspects of farmers' human capital and its influence on farm growth, or lack of it. Farmers' characteristics as expressed through their personality, intelligence and objectives are the main human capital aspects considered in a sample of smaller NZ dairy farms. They are somewhat typical of western farmers working on smaller farms. They can be broadly classed into Expanders, Maintainers and Retractors. It is hypothesised each group will have distinct and different personal characteristics and these influence the farmers' choice of trajectory. This is in addition to purely economic factors. It is also hypothesised the characteristics influence the farmers' choice of development strategy and how challenges to the strategy are viewed. The data collected from the small dairy farms support the hypotheses suggesting the design of policy and extension programs must allow for these human capital drivers. Using past data, it is also shown aspects of human capital are different in large farms emphasising the same conclusion. [ABSTRACT FROM AUTHOR]

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

AIMS: To determine the factors associated with the selection of antimicrobials by dairy veterinarians, and the attitudes of those veterinarians and dairy farmers to antimicrobial usage and resistance. METHODS: Facilitated focus groups of dairy farmers (n=22) and an anonymous online survey of dairy cattle veterinarians (n=206 respondents) were used to determine prescribing behaviour, factors affecting prescribing of antimicrobials, and the attitudes of veterinarians and farmers to the use of antimicrobials and the risk of antimicrobial resistance (AMR). RESULTS: Amongst the 22 farmers, the most common primary reason for choosing an antimicrobial was veterinary advice (87%) followed by personal experience (68%). Farmers had limited knowledge or concern about the risk of AMR, particularly outside their farm, with only 47% and 26% agreeing or strongly agreeing that use of antimicrobials on their farm would increase the risk of resistance in their herd and in humans, respectively. Prescribing of antimicrobials by veterinarians was predominantly based on diagnosis (168/206; 82%), and response to previous therapy (134/206; 65%), while duration above the minimum inhibitory concentration (43/206; 21%) was also considered important. Non-clinical factors such as withholding period (52/206; 25%) and farmers’ preferences (45/206; 22%) also influenced prescribing. Antimicrobial culture and susceptibility testing was not widely used, with 126/166 (76%) having culture results for less than four of the last 10 clinical mastitis cases for which they prescribed antimicrobials. Attitudes about prescribing and AMR varied with years of practice, gender and employment status. CONCLUSIONS: Veterinarians primarily considered technical reasons when prescribing antimicrobials. However non-technical factors did influence prescribing, in particular client feedback about perceived efficacy and perceptions of cost/benefit. Farmers stated that veterinarians were the most credible source of advice for selection of antimicrobials, but that personal experience on their farm was also important. CLINICAL RELEVANCE: Farmers’ perception of efficacy of antimicrobials, based on clinical outcomes, is an important determinant of their preferred choice of product. Hence, where changes in on-farm use patterns are required, clear communication by veterinarians about prudent antimicrobial choice and usage will require initial education around classes of antimicrobials and risk of resistance, as well as information around assessing efficacy of antimicrobial usage. Many veterinarians are in businesses that do not have practice prescribing policies. Such policies would likely lead to more consistent and judicious use of antimicrobials. [ABSTRACT FROM AUTHOR]

New Zealand dairy farmers are facing increasing pressure to reduce nutrient losses from grazing ruminants to the environment. Research suggests that the major source of nutrient loss is animal excreta which, for nitrogen (N), relates to cattle urine in particular. Most models used to describe N cycling and predict loss assume homogeneous distribution of urine patches across grazing areas. This study aims to provide baseline knowledge of the temporal and spatial distribution of N by monitoring the urination behaviour of individual dairy cows on a commercial farm using remote precision tools. The study took place on No 4 Dairy Farm, Massey University, Palmerston North, New Zealand during early autumn in March 2009. Thirty cows in late lactation, balanced for milking order and age, from a herd of 180 milking cows, were fitted with global positioning system collars and urine sensors for seven consecutive days. The herd was milked twice a day and rotationally grazed, without supplementation. Cows were rotated through 12 paddocks, each ~1.1 ha. The majority of urine (85 % of total) was deposited on pasture, while 10 % of total urine deposits were captured in the holding yard and milking shed. Kernel density estimates indicated that urine patch distribution was not homogeneous, thus there was aggregation of urine patches within particular areas of the paddocks. Moderate correlations between the time spent in a location and urine patch density provided evidence that the time spent in a particular location was a factor affecting the density of urine patches. Substantial variation in results between paddocks suggested that paddock characteristics did not play a major role in determining urine distribution patterns in this study. [ABSTRACT FROM AUTHOR]

Rural sociology in New Zealand has been associated with some of New Zealand's most famous early social analysis: Somerset's Littledene and Doig's survey of dairy farmers. These exemplify its uncertain and changing relationship with government policy and funding. Over the years rural sociology has been funded from a variety of sources, sometimes unexpected, sometimes generously. Its peak moments have been related to both important developments in rural life, such as the 1930s Depression, or the reconfiguration of farming that took place after the restructuring instigated by the Fourth labour Government in the 1980s. Linkages with both overseas sociologists and those within other disciplines with common agendas are crucial to sociological analysis of rural trends. [ABSTRACT FROM AUTHOR]

The majority of dairy farmers and processors in Australia and New Zealand are considered world class due to their ability to produce dairy products at a cost that is competitive on the world market without requirement for subsidy. International and domestic forces beyond the farm influence the international competitiveness of Antipodean dairy systems, as much or more than, the within-farm characteristics of the systems. Critical external forces include: world population growth, protein demand from increasingly wealthy developing countries, dairy supply from domestic and international producers, international dairy prices and exchange rate volatility. Within farm, the keys to persistent profitability, business survival, and growth will continue to be management ability and labour skill as well as the relationship between milksolids (milk fat + milk protein) produced per system and total production costs. Domestic forces will include competition for resources such as land, water, quality labour and capital, and public expectation that farms will meet the costs of community environmental and welfare objectives. Public and industry investment in research, development and extension in innovations that increase productivity is essential if dairying is to remain competitive. The operation of the comparative advantage principle determines which industries thrive, or decline, in an economy. New Zealand dairying has a strong comparative advantage over alternative pastoral industries which will continue. In Australia, the comparative advantage of dairy farming over alternative activities is less clear-cut. History shows that the best farmers and processors handle risks such as market and climate volatility and other challenges better than others, and their prospects are positive. However, world class performers in the future dairy industry will certainly not be all, or even the majority, of the current population of dairy farmers. Australian and New Zealand dairy farm businesses are world class, but there is no guarantee that their comparative advantage over alternative land uses will continue. An analysis of key physical and financial characteristics of dairy farming shows that there is wide variation in financial performance for farm businesses no matter what level of feed inputs are used. The best performers in both countries are poised to take advantage of the increased global demand for milk products. [ABSTRACT FROM AUTHOR]

The article examines the attitudes, priorities, and constraints of farmers who manage seasonal-calving and pasture-based dairy herds in four regions of New Zealand, in herd reproductive management, and the impact of demographic and biophysical factors. Current reproductive performance of herds were reported to be high or very high, by a majority of key decision makers (KDM), while placing the improvement of reproductive performance as a high priority for the next three years.

Operating in a deregulated economy that provides minimal support to agriculture, New Zealand dairy farmers are exposed to considerable uncertainty. However, this uncertainty provides both opportunities and threats for New Zealand dairy farms and often it is the capacity of the farm manager to interpret and respond to external (and internal) information that determines the extent of the advantage or disadvantage that is eventually realized. The research question in this study is to determine whether the perceptions of risk (importance and likelihood) differ according to time horizon and according to whether the risk is viewed as an opportunity or a threat. Subsequent to this question is whether presenting farmer perceptions in a format that better illustrates and informs on the relativity between the sources of risk can enhance the capacity of farm managers to either avoid or exploit the threat and opportunity respectively. This paper reports on the development and application of a methodology to answer these questions. The methodology is then tested on a selected group of farmers with the results analyzed and presented. [ABSTRACT FROM AUTHOR]