Associations between Dairy Herds’ Qualitative Behavior and Aspects of Herd Health, Stockperson and Farm Factors—A Cross-Sectional Exploration

The affective state is an integrated aspect of farm animal welfare, which is understood as the animals’ perception of their living environment and of their internal biological functioning. The aim of this cross-sectional study was to explore animal-internal and external factors potentially influencing dairy cows’ affective state. For this purpose, qualitative behavior assessments (QBA) describing the animals’ body language were applied at herd level on 25 dairy farms. By means of principal component analysis (PCA), scores of PC1 (QBAscores) were determined for further analyses. From monthly milk recordings (MR) one year retrospectively, prevalences of udder and metabolic health impairments were calculated. Factors of housing, management, and human-animal contact were recorded via interviews and observations. A multivariable regression was calculated following a univariable preselection of factors. No associations were found between MR indicators and QBAscores. However, more positive QBAscores were associated with bedded cubicles or straw yards compared to raised cubicles, increased voluntary stockperson contact with the cows, and fixation of cows during main feeding times, the latter contributing to the explanatory model, but not being significant. These results underline the importance of lying comfort, positive human-animal relationship and reduction of competition during feeding for the well-being of dairy cows.

Current Consumer Perceptions of Animal Welfare across Different Farming Sectors on the Island of Ireland

There has been increased public interest and concerns in issues such as farm animal welfare (FAW) on the island of Ireland, stoked in part by political and governance changes, such as Brexit and COVID-19. Front-of-pack food labelling represents a primary information channel for many people. In advance of considering formalised food labelling schemes, specifically relating to FAW, it is important to ensure an up-to-date understanding of current consumer perceptions of FAW. With this aim, the current study utilised a mixed methodology. Nine focus group discussions (n = 41) and an online survey (n = 972) with food consumers in Ireland and Northern Ireland explored perceptions of FAW. Results suggest that overall perceptions of FAW are high, and consumers perceive FAW to have improved in the last decade. Quantitative (ANOVA) and qualitative results show variations in perception of FAW between sectors. Results from the focus group discussions identified factors underlying consumers’ perception of FAW: the living conditions of the animal, size and intensity of the farm, national standards and schemes, and visibility. Information insufficiencies and knowledge gaps were identified. The findings are discussed in relation to policy implications for the role of public engagement, front-of-pack welfare labelling, and quality assurance schemes.

Early Life Painful Procedures: Long-Term Consequences and Implications for Farm Animal Welfare

Farm animals routinely undergo painful husbandry procedures early in life, including disbudding and castration in calves and goat kids, tail docking and castration in piglets and lambs, and beak trimming in chicks. In rodents, inflammatory events soon after birth, when physiological systems are developing and sensitive to perturbation, can profoundly alter phenotypic outcomes later in life. This review summarizes the current state of research on long-term phenotypic consequences of neonatal painful procedures in rodents and farm animals, and discusses the implications for farm animal welfare. Rodents exposed to early life inflammation show a hypo-/hyper-responsive profile to pain-, fear-, and anxiety-inducing stimuli, manifesting as an initial attenuation in responses that transitions into hyperresponsivity with increasing age or cumulative stress. Neonatal inflammation also predisposes rodents to cognitive, social, and reproductive deficits, and there is some evidence that adverse effects may be passed to offspring. The outcomes of neonatal inflammation are modulated by injury etiology, age at the time of injury and time of testing, sex, pain management, and rearing environment. Equivalent research examining long-term phenotypic consequences of early life painful procedures in farm animals is greatly lacking, despite obvious implications for welfare and performance. Improved understanding of how these procedures shape phenotypes will inform efforts to mitigate negative outcomes through reduction, replacement, and refinement of current practices.

Direct and indirect contributions of molecular genetics to farm animal welfare: a review

Since domestication, farm animals have played a key role to increase the prosperity of humankind, while animal welfare (AW) is debated even today. This paper aims to comprehensively review the contributions of developing molecular genetics to farm animal welfare (FAW) and to raise awareness among both scientists and farmers about AW. Welfare is a complex trait affected by genetic structure and environmental factors. Therefore, the best welfare status can be achieved not only to enhance environmental factors such as management and feeding practices, but also the genetic structure of animals must be improved. In this regard, advances in molecular genetics have made great contributions to improve the genetic structure of farm animals, which has increased AW. Today, by sequencing and/or molecular markers, genetic diseases may be detected and eliminated in local herds. Additionally, genes related to diseases or adaptations are investigated by molecular techniques, and the frequencies of desired genotypes are increased in farm animals to keep welfare at an optimized level. Furthermore, stress on animals can be reduced with DNA extraction from stool and feather samples which reduces physical contact between animals and veterinarians. Together with molecular genetics, advances in genome editing tools and biotechnology are promising to improve FAW in the future.

Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

Deepfake technologies are known for the creation of forged celebrity pornography, face and voice swaps, and other fake media content. Despite the negative connotations the technology bears, the underlying machine learning algorithms have a huge potential that could be applied to not just digital media, but also to medicine, biology, affective science, and agriculture, just to name a few. Due to the ability to generate big datasets based on real data distributions, deepfake could also be used to positively impact non-human animals such as livestock. Generated data using Generative Adversarial Networks, one of the algorithms that deepfake is based on, could be used to train models to accurately identify and monitor animal health and emotions. Through data augmentation, using digital twins, and maybe even displaying digital conspecifics (digital avatars or metaverse) where social interactions are enhanced, deepfake technologies have the potential to increase animal health, emotionality, sociality, animal-human and animal-computer interactions and thereby productivity, and sustainability of the farming industry. The interactive 3D avatars and the digital twins of farm animals enabled by deepfake technology offers a timely and essential way in the digital transformation toward exploring the subtle nuances of animal behavior and cognition in enhancing farm animal welfare. Without offering conclusive remarks, the presented mini review is exploratory in nature due to the nascent stages of the deepfake technology.

Rationale for Defining Recognition of “Higher Animal Welfare” Farm Assurance Schemes in a Global Food System: The GAWA Alliance

Many schemes exist which provide assurance on farm animal welfare. However, different standards and protocols mean the level of welfare assured by schemes can be very diverse, potentially hindering food businesses operating globally from sourcing equivalent higher welfare products. This research investigated the rationale for establishing a recognised network of higher welfare schemes from which authentic higher welfare products can be purchased. Nine assurance schemes and seven food businesses were interviewed. Results confirmed the challenge food businesses face in international trade of products from animals reared to a definable welfare status, due to the lack of recognised equivalence of different assurance schemes. Results provided evidence for international interest in an alliance of higher welfare schemes to provide standardisation of higher welfare, as a solution to this challenge. As a result, a working model of such an alliance was refined and the alliance was launched as “Global Animal Welfare Assurance” (GAWA).

Adding value to food chain information: using data on pig welfare and antimicrobial use on-farm to predict meat inspection outcomes

Background Using Food Chain Information data to objectively identify high-risk animals entering abattoirs can represent an important step forward towards improving on-farm animal welfare. We aimed to develop and evaluate the performance of classification models, using Gradient Boosting Machine algorithms that utilise accurate longitudinal on-farm data on pig health and welfare to predict condemnations, pluck lesions and low cold carcass weight at slaughter. Results The accuracy of the models was assessed using the area under the receiver operating characteristics (ROC) curve (AUC). The AUC for the prediction models for pneumonia, dorsocaudal pleurisy, cranial pleurisy, pericarditis, partial and total condemnations, and low cold carcass weight varied from 0.54 for pneumonia and 0.67 for low cold carcass weight. For dorsocaudal pleurisy, ear lesions assessed on pigs aged 12 weeks and antimicrobial treatments (AMT) were the most important prediction variables. Similarly, the most important variable for the prediction of cranial pleurisy was the number of AMT. In the case of pericarditis, ear lesions assessed both at week 12 and 14 were the most important variables and accounted for 33% of the Bernoulli loss reduction. For predicting partial and total condemnations, the presence of hernias on week 18 and lameness on week 12 accounted for 27% and 14% of the Bernoulli loss reduction, respectively. Finally, AMT (37%) and ear lesions assessed on week 12 (15%) were the most important variables for predicting pigs with low cold carcass weight. Conclusions The findings from our study show that on farm assessments of animal-based welfare outcomes and information on antimicrobial treatments have a modest predictive power in relation to the different meat inspection outcomes assessed. New research following the same group of pigs longitudinally from a larger number of farms supplying different slaughterhouses is required to confirm that on farm assessments can add value to Food Chain Information reports.

Attitudes of Turkish veterinary students towards farm animal welfare

People's awareness of livestock welfare has increased in recent years and veterinarians have a critical role to play in maintaining and improving these standards. The aim of this study was to explore the attitude of veterinary students to livestock welfare and an online questionnaire was utilised to gauge the opinions of students from the Bursa Uludag University Faculty of Veterinary Medicine in Turkey. A five-point Likert scale covered judgments ranging from 'Strongly disagree' to 'Strongly agree.' Female students were found to have a higher score for questions related to the welfare of livestock than males. It was also found that students yet to undertake courses in clinical science and animal welfare, ie first and second years, gave higher scores than third, fourth and fifth years who had completed both of these. Moreover, students having owned or dealt previously with livestock provided lower animal welfare scores than their counterparts who had done neither. Seemingly, the sensitivity of veterinary students decreases during the latter stages of their education. To conclude, we suggest further investigation into the extent to which veterinary medicine education influences students' attitudes to animal welfare as they progress through the course.

Internalisation of farm animal welfare in consumers' purchasing decisions: A study of pork fillet at point of purchase using the means-end chain and laddering approach

The purpose of this study was to investigate how farm animal welfare (FAW) is internalised in consumers' purchasing decisions at the point of purchase. The study is based on means-end chain theory and the laddering interview technique to elicit respondents' mental representation of attributes, consequences and values of an animal food product. Respondents were approached and interviewed at the point of purchase in two supermarkets in Uppsala, Sweden. A summary representation of respondents' mental representation of attributes, consequences and values of an animal food product (pork fillet) was created. The findings indicate that FAW is the most salient means-end-chain element. FAW enters respondents' mental representation of pork fillet at the point of purchase as a consequence of other elements. FAW is considered to lead to values of hedonism and universalism type. This study contributes to the literature by detailing how animal welfare can be embedded in consumers' mental representation of cause and effect of animal food product attributes at the point of purchase. The findings are useful practically for policy-makers and for agri-business and other actors in the food value chain who would like to promote enhanced FAW. The findings also provide insight into how FAW can be promoted through market-based solutions.