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Context Dairy operations have adopted benchmarking as a methodology to rank farms and establish target indexes; however, a connection between benchmarking and farms in the tropics is still warranted. Aims To evaluate the technical and economic quartiles based on farm return on assets (ROA) of three regions (Centre, South and Triangle) of Minas Gerais state, Brazil, and use them to establish benchmarks for dairy farms. Methods We collected data from 128 dairy farms (from January to December of 2019). All properties were part of the Educampo® project/Sebrae-MG. Farms were grouped into the Centre, South and Triangle regions, and subdivided into three groups within each region according to their ROA, where 25% of the farms that presented the lowest ROA were classified as the first quartile, 50% of farms were classified as interquartile and the 25% remaining farms were classified as the fourth quartile. Data were analysed as a randomised block design in a split-plot scheme, where the production systems were blocks, the regions were the main plots and the groups were the split plots. Differences were declared when P ≤ 0.10. Key results Total operating cost ($/L; $ – this currency is in US dollars and it applies throughout the paper); accrual operating cost ($/L); production costs, such as roughage ($/L), hired labour ($/L), percentage of concentrate and hired labour in accrual operating cost (%), were affected by regions and groups. The South and fourth quartile had the greatest total operating cost (0.24 $/L; 0.26 $/L) and accrual operating cost (0.27 $/L; 0.30 $/L), respectively. The majority of economic indexes were higher for Triangle than South and Centre, respectively. The fourth quartile had the greatest net margin (0.09 $/L), profit (0.07 $/L), return on assets (2%) and assets turnover rate (24%). Conclusions We suggest that benchmarks should be established by region, as there were too many variations among regions. In addition, this study demonstrated the importance of understanding the behaviour of the technical and economic indicators to stratify farms based on their return on assets. Implications We evaluated technical and economic indexes from three regions and stratified by ROA. Then, we established benchmarks by regions to better guide the producer in decision-making in dairy operations.

Context Producers’ behaviour, attitudes, and ethics towards animal welfare emerge from a complex interplay of factors. Applying insights from behavioural science can therefore enrich our understanding of the myriad factors influencing animal welfare and can provide recommendations for creating a positive shift in producers’ behaviour. Aims The current paper documents a partnership between an organic beef exporter, OBE Organic, and a behavioural science company, Evidn. The partnership aimed to improve beef producers’ behaviours towards animal welfare by embedding behavioural science principles into producer feedback sheets that are completed post-slaughter by meat processors and beef exporters. Methods A five-stage approach was applied. Stage one involved a behavioural science ‘hackathon’ between OBE Organic and Evidn to refine project scope. Stage two reviewed producer communications at OBE Organic through five semi-structured interviews. Stage three analysed the behavioural science literature and other interventions relevant to animal welfare. Stage four pilot-tested recommendations with 10 stakeholders, followed by the re-design of producer feedback sheets throughout Stage five. Key results Qualitative results were collected from OBE Organic staff and producers to delineate the potential impacts of the re-designed feedback sheets on animal welfare. Results indicated that re-designed sheets reduced complexity, increased saliency of relevant information, and further motivated behaviour change by providing peer comparisons. Industry partners of OBE Organic responded positively to the company’s commitment to improving animal welfare, further enhancing their social licence to operate. Conclusions Behavioural science is a potentially useful tool for improving animal welfare by further enriching our understanding of the myriad factors influencing producers’ behaviour and providing evidence-based recommendations to enhance producers’ engagement with animal welfare information contained in producer feedback sheets. Implications Future work should focus on directly linking the re-designed feedback sheets to improvements in animal welfare (i.e. bruising, meat colour). This could involve a large-scale randomised controlled trial (RCT) to test the impact of re-designed communications on animal welfare outcomes. A large qualitative engagement project could also help understand the system of factors influencing producer behaviour and develop a behaviour change program to further improve animal welfare. Ongoing work is also needed to ensure that engagement with feedback sheets is maintained in the long term.

Sheep stocking rate influences farm profit significantly; however determining the optimal stocking rate is a difficult task. In this paper, we address this challenge through three main steps. First, we review the definition of stocking rate; second, we examine prior research relevant to the review topic and highlight the factors that need to be considered when determining the optimal stocking rate; and third, we make recommendations for improvements in research on establishing the optimal sheep stocking rate. Inconsistency in the definition of stocking rate can lead to miscommunication among researchers, advisers and farmers. If 10 dry sheep equivalents (DSE)/ha is optimal for one flock, it may not be optimal for another flock because the DSE measure does not fully capture the nuances of different patterns of nutritional requirements among sheep classes and feed availabilities and their respective prices and costs. The optimal stocking rate occurs when the marginal economic benefit of an additional animal equals its marginal cost. Determining this point requires an understanding of the quantity and quality of feed available throughout the year, the optimal liveweight profile throughout the year, the impact of seasonal variation, the impact of labour availability, the cost of alternative feeds, prices of livestock and livestock products, the risk preferences of the farmer, and any emission policies relating to greenhouse gases. Farmers tend to use their own judgement to set their stocking rates, with the aim of maximising utility. However, the complexities listed make it a challenging task. Thus, researchers have used various simulation and programming models to aid decision-making over optimal stocking rates, but most farmers continue to rely on their own personal judgement. Moreover, often a focus of this modelling is for sheep systems in eastern Australia. Generalising this research across Australia is difficult due to differences in climatic conditions and markets across Australia. Often farmers are unaware of the profits they are foregoing when choosing either an overly conservative or excessive stocking rate. Our research has shown that foregone income of up to AUD50 per hectare can occur when a stocking rate 30% below or above the optimum is selected. Thus, despite the complexities that underpin the stocking rate decision, we believe that there are potential rewards from further research on the optimisation of stocking rates.

The rise of sequencing technology brought about a surge of new methodologies that offered a new and deeper level of understanding of the role of the microbiome in the health and performance of livestock. This started a chain reaction in technology evolution, and a decade later, we have developed a new appreciation of a healthy gut and the role of early colonisation and nutrition in developing the microbiome, and its subsequent impact on animal productivity. An abundance of new products flooded the livestock supplement market with the promise of improving the health of intestinal microbiota. However, the impact of these products and any potential gains they might provide have not always been quantified or validated. Further to this, the potential interactions with the microbial community naturally occurring in the feed-base have not commonly been considered. We have recently shown that animal feed carries a complex microbial community that can have various impacts, including negating farm biosecurity measures. The ruminant animal provides an even greater level of complexity where physiological drivers act to maintain ruminal homeostasis. Despite many advances, numerous knowledge gaps remain, and the methodologies are not without their challenges with almost constant evolution in analysing and interpreting data. In this paper, we will discuss the benefits, challenges and shortfalls of microbiome science, its interfaces with multi-omics research and the strategies of its contribution to animal production science.

This perspective paper provides industry leaders, researchers and policy developers strategic approaches to ensure that the welfare of dairy cattle is protected at the same time as the industry increases its resilience to climate change. Farm systems and practices will evolve in response to the direct impacts of climate change and/or from responses to climate change, such as mitigation strategies to reduce dairy’s greenhouse-gas (GHG) emissions. The five domains framework (nutrition, physical environment, health, behaviour, mental state) was used to assess the potential impacts on animal welfare and strategies to minimise these impacts are outlined. Given that the future climate cannot be certain these approaches can be applied under a range of emissions pathways to (1) ensure that the effects of GHG mitigations on animal welfare are considered during their development, (2) engage with end users and the public to ensure solutions to the effects of climate change and weather variability are accepted by consumers and communities, (3) identify and measure the areas where improved animal health can contribute to reducing GHG emissions from dairy production, (4) ensure those supporting farmers to develop and manage their farm systems understand what constitutes a good quality of life for dairy cattle, (5) ensure effective surveillance of animal disease and monitoring of welfare outcomes and farm-system performance in response to climate change and GHG mitigations. Overall, these strategies require a multi-disciplinary co-development approach to ensure that the welfare of dairy cattle is protected at the same time as the industry increases its resilience to the wider impacts of a changing climate.

Deer antlers are unique because they are cast and regenerate each year. They are the fastest-growing structure, reaching an astonishing growth rate of up to 2.75 cm/day in length and more than 20 cm2/day of skin. Surprisingly, no study so far has assessed the metabolic rate of the antler. High metabolic rate needs highly efficient (or large) mitochondria, and it involves a high creation or reactive oxygen species (ROS), origin of oxidative stress. The speed of creation of ROS and the oxidative stress are inversely related to ageing and many diseases such as cancer or age-related diseases. However, antler must have the most efficient anti-oxidant system, as it rarely shows any departure from a perfect growth. This paper examines recent studies showing surprising applications in medicine of growing-antler extracts, or the information regarding its physiology. A recent study (Wang et al. (2019), Science 364, eaav6335) has shown that antlers have evolved a speed of growth faster than cancer, based on high expression of proto-oncogenes. As a result, deer has evolved tumour-suppression genes to control the high risk of developing cancer. This may explain why several studies have found in vitro and in vivo anti-cancer effects of deer velvet-antler extract in human tumours, such as cell cultures and animal models of cancers such as brain cancer (glioblastoma), prostate cancer, and others. We will also discuss findings in the study of the cyclic osteoporosis of the deer, with unexpected similarities in their proteomics and gene expression with that of the human pathological osteoporosis. Last, we will examine potential applications based on having the highest metabolic rate. If the future studies establish the antler as the tissue having the fastest metabolism and the best antioxidant system, this may have implications for understanding how to fight oxidative stress, which, in turn, will have direct implications for aging and age-related diseases (and others, from cancer to osteoporosis and Alzheimer’s for example). It may also show that velvet-antler extract is a general anti-cancer compound, and this may show the path to find an anti-cancer medicine that has no secondary toxic effects in healthy cells.