Defining cattle handler skill: A systematic review and conceptual framework.

The paper presents results of the FP7 Econ-Welfare Project “Assessing the socio-economic consequences of measures promoting good animal welfare”. The paper illustrates the economic consequences at the farm level of indicative improvements in animal welfare conditions for pigs and cattle and addresses the consequences of improved animal welfare for international trade and competitiveness1. For the farm level considerations costs - effectiveness analysis was applied, whilst impacts of the upgraded standards on international trade and competitiveness was assessed with the use of the partial equilibrium Agmemod model. The Belief Network Approach was used to determine the effects of animal welfare standards and labels on the competitiveness of the EU animal production and supply chain. Introducing upgraded Animal Welfare standards at the farm level would increase costs of production in pigs and beef cattle sectors. In dairy sector upgrading cows welfare standards results with higher benefits than costs. Accordingly, Agmemod results indicate that on the pork and beef markets international competitive position of the EU producers may be undermined. However, as the analysis showed, there are both supply conditions and demand side circumstances which may well resolve the apparent conflict between animal welfare and chain competitiveness. On the supply side, it is apparent that there are some animal welfare improvements that can be made without compromising competitiveness. Supply chain information, education and training may well be able to improve both animal welfare and competitiveness. In addition, better understanding of both animal welfare and animal productivity (through R&D) can be expected to lead to improvements in both objectives.

The time spent at the slaughterhouse represents a relatively short period in an animal’s life, yet it holds substantial relevance for animal welfare. Thereto, slaughterhouse businesses are profit-driven and must maintain an efficient process flow whilst producing high-quality products that meet societal expectations. The overall aim of this thesis was to map animal welfare-related aspects during the slaughter of pigs and cattle and assess the economic relevance of animal welfare improvements for slaughterhouse businesses. This research is primarily conducted from a Swedish perspective, but it also holds international relevance. Using an interdisciplinary approach that combines animal science and production economics, the work develops a theoretical economic model for animal welfare at slaughter, includes on-site slaughterhouse observations, analyses post-mortem meat inspection data, and simulates the economic effects of improved animal welfare at slaughter. The results show that process flow and personnel-related aspects are key factors for slaughterhouses in the decision-making process of investing in animal welfare improvements. Stunning efficiency in both pigs and cattle varied widely between slaughterhouses, and longer stun-to-stick intervals were associated with inadequate stun quality and the likelihood of re-stunning. The occurrence of traumatic injuries was linked to higher condemnation rates, resulting in both direct and indirect economic effects on slaughterhouse operations. Economic simulations revealed that the prevalence of stun failures had implications for both animal welfare and economic outcomes. These simulations demonstrated that the primary drivers of net benefit change for improving stunning efficiency were costs related to labour and investments in new stunning equipment in both pig and cattle slaughterhouses. This thesis concludes that animal welfare and economic outcomes at slaughter are interconnected, often favourable, indicating that animal welfare should not be solely treated as a cost. The results provide an empirical basis for understanding the complex connections between animal welfare and economic outcomes, offering insights for decisions on slaughterhouse, authority and policy level.

Animal welfare has priority: Swiss consumers’ preferences for animal welfare, greenhouse gas reductions and other sustainability improvements in dairy products

This study investigates the transformative role of Artificial Intelligence (AI) technologies in the agricultural sector, specifically focusing on their applications in enhancing animal welfare, health monitoring, and productivity. Over the last decade, advancements in AI, including machine learning, Internet of Things (IoT) systems, computer vision, and sensor technologies, have significantly enhanced livestock management across various species, including poultry, pigs, dairy cows, sheep and rodents. The study synthesizes findings from literature published between 2010 and 2022, highlighting how AI solutions facilitate comprehensive environmental monitoring, enable early disease detection, and support behavioral analysis, thereby optimizing production metrics and promoting better animal welfare practices. By employing the Technology Readiness Levels (TRL) framework, the review categorizes these technologies according to their developmental stages, from prototype to operational use, underscoring their increasing integration into commercial farming. Furthermore, the paper discusses the broader implications of AI adoption, including economic benefits, compliance with welfare standards, and sustainability objectives. The insights presented emphasize the need for continued research and innovation to fully harness AI’s potential in advancing animal management strategies and addressing the growing global demand for animal products. Overall, the findings confirm that AI technologies have demonstrated effectiveness in improving animal welfare, health monitoring, and productivity across diverse species and farming contexts.

Simple SummaryConsumers have become increasingly demanding about the quality of the meat they eat; they want healthy, natural, and palatable products, but are also concerned about animal welfare during production, transport, and slaughter. The way we handle animals does not only affect animal welfare, but also the quality of the meat produced. In this study the main factors affecting the welfare of lambs for slaughter in Chile are reviewed and the implications on meat quality shown. Factors like long distance transport due to difficult geographical reasons, bad roads, and lack of adequate local slaughterhouses appear to have a major impact on the welfare of lambs and also in reducing the quantity and quality of meat produced. Some deficiencies in terms of the handling of the lambs by untrained stockmen and drivers appear, and also inadequate infrastructure for transport in terms of vehicles and loading/unloading ramps. The problems observed are common for other South American countries and should be addressed firstly by educating and training all people involved in the lamb meat chain regarding animal welfare. In Chile there is legislation, ongoing since 2013, regarding the protection of animals during production, transport, and slaughter, including compulsory training of the people involved, which should improve animal welfare and meat quality.Consumers have become increasingly demanding about the quality of products of animal origin, particularly regarding animal welfare during production, transport, and slaughter. The aim of the present study was to review the factors affecting the welfare of lambs for slaughter in Chile and show the implications on meat quality. Rounding up and driving the lambs from the fields in large extensive production systems and long distance transport through difficult geographical routes affect the blood variable indicators of stress and reduces muscle glycogen reserves, increasing the risk of high pH of meat. In small farmer sheep production conditions there is a lack of appropriate installations for loading/unloading and deficiencies in vehicle structure specific for lambs; this together with the work of untrained handlers results in a high percentage of mortality and bruised carcasses, compared to European studies. These problems are common for other South American countries and should be addressed firstly by educating and training all the people involved in the lamb meat chain regarding animal welfare. In Chile there is legislation, ongoing since 2013, regarding the protection of animals during production, transport, and slaughter, including compulsory training of animal handlers and livestock transporters, which should improve animal welfare and meat quality.

Improving animal health and welfare in livestock systems depends on reliable proxies for assessment and monitoring. The aim of this project was to develop a novel method that relies on animal-based indicators and data-driven metrics for assessing health and welfare at farm level for the most common livestock species in Switzerland. Method development followed a uniform multi-stage process for each species. Scientific literature was systematically reviewed to identify potential health and welfare indicators for cattle, sheep, goats, pigs and poultry. Suitable indicators were applied in the field and compared with outcomes of the Welfare Quality® scores of a given farm. To identify farms at risk for violations of animal welfare regulations, several agricultural and animal health databases were interconnected and various supervised machine-learning techniques were applied to model the status of farms. Literature reviews identified a variety of indicators, some of which are well established, while others lack reliability or practicability, or still need further validation. Data quality and availability strongly varied among animal species, with most data available for dairy cows and pigs. Data-based indicators were almost exclusively limited to the categories “Animal health” and “Husbandry and feeding”. The assessment of “Appropriate behavior” and “Freedom from pain, suffering, harm and anxiety” depended largely on indicators that had to be assessed and monitored on-farm. The different machine-learning techniques used to identify farms for risk-based animal welfare inspections reached similar classification performances with sensitivities above 80%. Features with the highest predictive weights were: Participation in federal ecological and animal welfare programs, farm demographics and farmers' notification discipline for animal movements. A common method with individual sets of indicators for each species was developed. The results show that, depending on data availability for the individual animal categories, models based on proxy data can achieve high correlations with animal health and welfare assessed on-farm. Nevertheless, for sufficient validity, a combination of data-based indicators and on-farm assessments is currently required. For a broad implementation of the methods, alternatives to extensive manual on-farm assessments are needed, whereby smart farming technologies have great potential to support the assessment if the specific monitoring goals are defined.

The animal production market impacts the economy, provides food, affects consumer health, and contributes to environmental issues. As consumers begin to learn about the different methods of animal production, a growing market for organic and naturally produced animal products has arisen and organizations have been created to promote animal welfare. These organizations invent their own food labels which require producers to adhere to higher animal welfare standards, which consumers can use to better choose which products they want to purchase and support. As our service project, we created a comprehensive fact sheet representing seven more common food labels. We selected one label, Global Animal Partnership, to promote. We are compiling a list of local farmers to contact in order to spread awareness about the labels in the farming community. In addition, we sent messages to newspapers to help increase consumer and farmer awareness. We hope that more farmers will use the GAP scale to label their foods and consumers will begin to recognize and purchase more products which use the GAP scale. This will ultimately improve animal welfare, human health, and reduce environmental issues caused by intensive farming practices. (JT)

Simple SummaryFor at least the last four decades, the focus of animal welfare research, quality assurance, and policy initiatives has been on measuring behavioural and physiological stress responses in animals. In the last decade, however, this focus of animal welfare research has shifted to the consequences of these behavioural and physiological stress responses rather than only the responses per se. Modern-day farming, even with the intensification and automation requires regular monitoring and interactions by stockpeople. Research conducted in both experimental and commercial settings has shown widespread effects of the human-animal interactions on behaviour, physiology, and reproductive performance in farm animals. In this paper, we review the implications of human-animal interactions on reproduction in farm animals.A negative human-animal relationship (HAR) from the perspective of the animal is a limiting factor affecting farm animal welfare, as well as farm animal productivity. Research in farm animals has elucidated sequential relationships between stockperson attitudes, stockperson behaviour, farm animal fear behaviour, farm animal stress physiology, and farm animal productivity. In situations where stockperson attitudes to and interactions with farm animals are sub-optimal, through animal fear and stress, both animal welfare and productivity, including reproductive performance, can be compromised. There is a growing body of evidence that farm animals often seek and enjoy interacting with humans, but our understanding of the effects of a positive HAR on stress resilience and productivity in farm animals is limited. In this review, we explore the pathways by which stress induced by human-animal interactions can negatively affect farm animal reproduction, in particular, via inhibitory effects on the secretion of gonadotrophins. We also review the current knowledge of the stockperson characteristics and the nature of stockperson interactions that affect fear and physiological stress in farm animals. The contents of this review provide an insight into the importance of the HAR on farm animal welfare and reproduction while highlighting the gap in knowledge regarding the effects of a positive HAR on farm animals.

Genetic modification has been used to create dairy cattle without horns and with increased resistance to disease; applications that could be beneficial for animal welfare, farm profits, and worker safety. Our aim was to assess how different stated purposes were associated with public attitudes toward these two applications using a mixed methods approach. Using an online survey, U.S. participants were randomly assigned to one of ten treatments in a 2 (application: hornless or disease-resistant) x 5 (purposes: improved animal welfare, reduced costs, increased worker safety, all three purposes, or no purpose) factorial design. Each participant was asked to read a short description of the assigned treatment (e.g. hornlessness to improve calf welfare) and then respond to a series of questions designed to assess attitude toward the treatment using 7-point Likert scales (1 = most negative; 7 = most positive). Responses of 957 participants were averaged to creative an attitude construct score. Participants were also asked to explain their response to the treatment. Qualitative analysis of these text responses was used to identify themes associated with the participants’ reasoning. Participant attitudes were more favorable to disease resistance than to hornlessness (mean ± SE attitude score: 4.5 ± 0.15 vs. 3.7 ± 0.14). In the ‘disease-resistance’ group participants had more positive attitudes toward genetic modification when the described purpose was animal welfare versus reduction of costs (contrast = 1.00; 95% CI = 0.12–1.88). Attitudes were less favorable to the ‘hornless’ application if no purpose was provided versus when the stated purpose was either to improve animal welfare (contrast = 0.95; 95% CI = 0.26–1.64) or when all purposes were provided (contrast = 0.88; 95% CI = 0.19–1.58). Similarly, attitudes were less positive when the stated purpose was to reduce costs versus either improving animal welfare (contrast = 0.86; 95% CI = 0.09–1.64) or when all purposes were provided (contrast = 0.79; 95% CI = 0.02–1.56). Quantitative and qualitative analysis indicated that both the specific application and perceived purpose (particularly when related to animal welfare) can affect public attitudes toward genetic modification.

A wide range of studies have documented the role of oxidative stress in the development of chronic pathological disorders and even in the aging itself. However, its significance to modern animal health and welfare remains neglected. Oxidative stress in biological systems refers to a disturbance in the balance between pro-oxidants and antioxidants in favour of the former, leading to potential damage of biomolecules. In farm animals, oxidative stress may be involved in several pathological conditions, including those that are relevant for animal production and the general welfare of the individuals, resulting in some cases in irreversible losses. The oxidative stress concept and how it may result in disease or be prevented are complex questions with no simple answers and therefore, call professionals for deep reflection, to maintain a high standard of animal welfare and production. The aim of this review was to gather relevant information on the characteristics of pro-oxidants and antioxidant as well as their significance in animal production systems.

Smart livestock farming utilizes technology to enhance production and meet food demand sustainably. This study employs surveys and case studies to gather data and information, subsequently analyzing it to identify opportunities and challenges. The proposed solutions encompass remote sensing, technology integration, farmer education, and stakeholder engagement. The research delves into smart technologies in animal production, addressing opportunities, challenges, and potential solutions. Smart agriculture employs modern technology to improve efficiency, sustainability, and animal welfare in livestock farming. This includes remote monitoring, GPS-based animal care, robotic milking, smart health collars, predictive disease control, and other innovations. Despite the great promise of smart animal production, there are existing challenges such as cost, data management, and connectivity. To overcome these challenges, potential solutions involve remote sensing, technology integration, and farmer education. Smart agriculture provides opportunities for increased efficiency, improved animal welfare, and enhanced environmental conservation. A well-planned approach is crucial to maximize the benefits of smart livestock production while ensuring its long-term sustainability. This study confirms the growing adoption of smart agriculture in livestock production, with the potential to support the sustainable development goals and deliver benefits such as increased productivity and resource efficiency. To fully realize these benefits and ensure the sustainability of livestock farming, addressing cost and education challenges is essential. Therefore, this study recommends promoting a positive outlook among livestock stakeholders and embracing smart agriculture to enhance farm performance.

Despite differences in focus, goals, and strategies between conservation biology and animal welfare, both are inextricably linked in many ways, and greater consideration of animal welfare, although important in its own right, also has considerable potential to contribute to conservation success. Nevertheless, animal welfare and animal ethics are not always considered explicitly within conservation practice. We systematically reviewed the recent scientific peer-reviewed and online gray literature on reintroductions of captive-bred and wild-caught animals (mammals, birds, amphibians, and reptiles) to quantify the occurrence of animal welfare issues. We considered monitoring that could be indicative of the animal's welfare status and supportive management actions that could improve animal welfare (regardless of whether the aim was explicitly animal-welfare orientated). Potential welfare issues (of variable nature and extent) were recorded in 67% of 199 projects reviewed; the most common were mortality >50%, dispersal or loss of animals, disease, and human conflict. Most (>70%) projects monitored survival, 18% assessed body condition, and 2% monitored stress levels. Animal welfare, explicitly, was referred to in 6% of projects. Supportive actions, most commonly use of on-site prerelease pens and provision of supplemental food or water, were implemented in 79% of projects, although the extent and duration of support varied. Practitioners can address animal-welfare issues in reintroductions by considering the potential implications for individual animals at all stages of the release process using the decision tree presented. We urge practitioners to report potential animal-welfare issues, describe mitigation actions, and evaluate their efficacy to facilitate transparent evaluation of common moral dilemmas and to advance communal strategies for dealing with them. Currently, comparative mortality rates, health risks, postrelease stress, effectiveness of supportive measures, and behavior of individuals warrant further research to improve animal welfare in reintroductions and to increase success of such projects.

Improving animal welfare is a human responsibility and influenced by a person's values and experiences. Thus, it is critical to have an in-depth understanding of the knowledge, attitudes, and practices (KAP) of animal welfare among animal owners. For livestock in Ethiopia, the greatest proportion of livestock are reared by pastoral and mixed crop-livestock communities. A cross-sectional survey covering a range of species and animal welfare aspects was carried out on a total of 197 household (117 pastoral and 80 crop-livestock owners) and recorded information on 34 animal welfare KAP items. Item response theory models (IRT) were fitted to the data from KAP items to estimate the probability of correctly answering an item. This was used as a function of the respondents' KAP level. Overall, the highest percentage of desirable scores was recorded for the knowledge scale (35.7%) and the lowest was for the practice scale (24.6%). A significant correlation (P < 0.01) was found between knowledge of the farmers and their attitude toward animal welfare and self-reported practices. Generally, households practicing mixed crop-livestock farming system had better animal welfare knowledge, attitude, and practice than pastoralist. Mixed crop-livestock farmers had better knowledge on items related to observing the nutrition condition of the animal, animal-human relationship, the importance of water, and health inspection compared to pastoralists. In contrast, pastoralists had better knowledge of items related to natural behavior expression, animal care, and animal suffering than mixed crop-livestock farmers. Pastoralists had 3.3-times higher odds than mixed crop-livestock farmers to have a positive attitude to train their animals without beating. KAP scores demonstrate the need for targeted training to improve animal well-being (i.e., housing, management, nutrition, disease prevention and treatment, responsible care, humane handling) across livestock holding communities in Ethiopia.

In this review, we discuss animal welfare as a complex and contested issue facing society and outline why collaborative, multi-stakeholder approaches are critical for effective policy development. Using the lens of “wicked problems” and drawing upon governance literature on policy networks, we identify important factors for working with the inherent complexity of animal welfare through the inclusion of various stakeholder perspectives. We present two case studies that illustrate policy network approaches to animal welfare and highlight the value of fostering collaboration among various stakeholder groups from the industry, community, research, and government sectors. We suggest that the influence of stakeholder networks will likely increase in coming years as newer forms of participatory governance become common. By understanding how collaborative stakeholder networks establish participatory governance, productive communication, and collective priorities, leaders in the field of animal welfare can more productively engage with stakeholders and achieve long-lasting improvements in animal welfare.

Farm animal welfare has been gradually recognized as an important issue in most parts of the world. In China, domestic animals were traditionally raised in backyard and treated as an important component of family wealth. Industrialization of animal production brings forth the farm animal welfare concerns recently in China, yet the modern concept of animal welfare has not been publicized and a comprehensive recognition on how consumers and farmers perceive animal welfare is lacking. Therefore, we conducted a survey on public opinions toward farm animal welfare in China, based on pigs (including sows, piglets, and fattening pigs), domestic fowls (including layers and broilers) and their products. From 6,006 effective questionnaires approximately two thirds of the respondents had never heard of ‘animal welfare’; 72.9% of the respondents claimed that, for the sake of animal derived food safety, human beings should improve the rearing conditions for pigs and domestic fowls; 65.8% of the respondents totally or partly agreed on establishing laws to improve animal welfare; more than half of the respondents were willing, or to some extent willing, to pay more for high-welfare animal products, whereas 45.5% of the respondents were not willing or reluctant to pay more. In summary, farm animal welfare is still in its early stage of development and more efforts are needed to improve the public conception to animal welfare in the process of establishing farm animal welfare standards and legislations in China.