On-farm Animal Welfare Research Articles

Relationship between animal-based on-farm indicators and meat inspection data in pigs

BackgroundThis study aimed to validate slaughterhouse indicators collected during meat inspection as an alternative to on-farm animal welfare indicators. For this purpose, the assessments of twelve on-farm and seven slaughterhouse indicators of 628 pigs from three different farms were combined into three indices, differentiated between on-farm and slaughterhouse: (1) limb health, (2) other organ health, and (3) respiratory health. At first, an assessment at animal-level using agreement parameters was carried out to ascertain whether the same welfare or health issues were identified on-farm and at slaughterhouse, taking the production period (farrowing, rearing and fattening period) and the last weeks before slaughtering into account. Second, the connection of slaughterhouse findings on the individual on-farm health indices was examined using logistic regressions, to determine whether certain welfare issues can be better monitored using slaughterhouse indicators.ResultsAcceptable agreement was determined using the Prevalence-Adjusted Bias-Adjusted Kappa (PABAK) for the farrowing and fattening period, but not for the rearing period. A more detailed analysis of the weeks before slaughter shows that there is still a poor agreement 8 weeks before slaughter and an acceptable agreement 4 weeks before slaughter. This indicated the slaughterhouse indicators pneumonia, pleuritis and pericarditis as possible estimators of fever and deviant behavior on-farm and the slaughterhouse indicators bursitis and joint inflammations as possible estimators of lameness. In the second part of the analysis, the connection of slaughterhouse findings on the individual on-farm health indices was investigated; a significant influence of the farm on the limb and respiratory indices and no significant influence of the slaughterhouse findings could be determined, provided that all weekly assessments during the lifetime of the pigs have been taken into account. However, an influence of the slaughterhouse findings on the respiratory index and on the other organ index could be determined if only the weekly assessments four and eight weeks before slaughter, respectively, were taken into account.ConclusionsIn general, the possible suitable indicators detected by the PABAK, could replace some health-related indicators but a complete substitution of on-farm welfare assessment is not possible. In addition, the traceability over time must be investigated further.

38 Application of Real-Time Location Systems for Automated Behavioral Monitoring in Sheep

Abstract Evaluating how, when, and where an animal moves in their environment can provide insights into their health and welfare states. Spatial tracking systems for monitoring sheep are less well developed than accelerometer-based systems, but have the potential to add important behavioral information to Precision Livestock Farming (PLF) applications. Global Positioning Systems (GPS) can be used to track pasture-based animals, but are not suitable to establish indoor locations. Real-Time Location Systems (RTLS) are a recent development that use radio-frequency signals emitted by tags to track the indoor location of an animal online and continuously. Raw RTLS data in the form of x, y coordinates can be used to calculate multiple spatial metrics, including velocity, acceleration, distance moved, the proportion of time an animal spends in different functional areas, social network attributes, and range size. RTLS can also be integrated with accelerometers to potentially improve predictive accuracy of behavioral algorithms. RTLS have been primarily tested and validated for indoor tracking of dairy cattle and have been used to assess behavioral time budgets and to detect space-use changes related to estrus or health status. For on-farm applications, these data must be transformed into threshold-based algorithms to generate notifications on changes in the health or welfare status of an animal. Algorithm development needs to account for confounding factors such as breed, sex, age, parity, and stage of lactation, as well as environmental variability that can influence the performance of decision-making tools under real-life conditions. In addition, independent validation studies of commercial systems are lacking, and many calculate positioning error with stationary objects rather than moving animals, potentially inflating accuracy estimates. In conclusion, there is growing empirical support for the use of RTLS as a PLF technology for on-farm animal health and welfare assessment. However, research is needed to validate these systems in sheep and identify spatial metrics that are accurate and robust predictors of health and welfare states for commercial applications.

Evaluating the efficacy of two local anesthetics to extend analgesia in Holstein calves after dehorning

The dehorning of dairy calves is a painful procedure routinely done in commercial production systems, to facilitate handling and increase human and animal safety. The American Associa­tion of Bovine Practitioners recommends the use of procedures and practices that reduce or eliminate pain associated with de­horning to improve on-farm animal welfare. This study aimed to 1) determine if the addition of bupivacaine lipsome inject­able suspension or ethanol to lidocaine would provide extended pain relief to dairy calves post-dehorning, and 2) determine which local anesthetic most effectively reduced pain biomark­ers and behaviors post-dehorning.

Perceptions of farming stakeholders towards automating dairy cattle mobility and body condition scoring in farm assurance schemes

Animal welfare standards are used within the food industry to demonstrate efforts in reaching higher welfare on farms. To verify compliance with those standards, inspectors conduct regular on-farm animal welfare assessments. Conducting these welfare assessments can, however, be time-consuming and prone to human bias. The emergence of Digital Livestock Technologies (DLTs) offers new ways of monitoring farm animal welfare and can alleviate some of the challenges related to animal welfare assessments by collecting data automatically and more frequently. Whilst automating welfare assessments with DLTs may be promising, little attention has been paid to farmers’ perceptions of the challenges that could prevent successful implementation. This study aims to address this gap by focusing on the trial of a DLT (a 3D machinelearning camera) to automate mobility and body condition scoring on 11 dairy cattle farms. Semi-structured, in-depth interviews were conducted with farmers, technology developers and a stakeholder involved in a farm assurance scheme (N14). Findings suggest that stakeholders perceived important benefits to the use of the camera in this context, from building consumer trust by increasing transparency to improved management efficiency. There was also a potential for greater consistency in data collection and thus for enhanced fairness across the UK dairy sector, particularly on the issue of lameness prevalence. However, stakeholders also raised important concerns, such as a lack of clarity around data ownership, reliability, and use, and the possibility of some farmers being penalised (e.g., if the technology failed to work). More clarity should thus be given to farmers in relation to data governance and evidence provided in terms of technical performance and accuracy. The findings of this study highlighted the need for more inclusive approaches to ensure farmers’ concerns are adequately identified and addressed. These approaches can help minimise negative consequences to farmers and animal welfare, whilst maximising the potential benefits of automating welfare-related data collection.

Dairy cow welfare measures: Can production economic data help?

Using a dataset from dairy farms in Germany that combines two types of welfare measures, namely welfare quality protocol (WQP) measures and production economic and herd-management data, this study aims to validate the use of production economic and herd-management data to proxy dairy cow welfare measures. The paper implements two multivariate estimation approaches of Seemingly Unrelated Estimation and Canonical Correlation Analysis. Data from on-farm animal welfare assessments based on WQP require time intensive collection and are typically unavailable for research based on large-scale panel datasets. On the other hand, survey data on production economic and herd management are available for such analysis, especially in European countries, but their informational value regarding animal welfare is debated. In this paper, we were able to establish relationships between the four WQP principles (feed, health, housing, behaviour) and variables from production economics and herd-management data. We find that concentrated feed, building costs, cell counts, milk fat content, calving intervals, and age at calving have strong links to the different principles of the WQP measures. In conclusion, our findings support the use of already existing and routinely collected production economic and herd-management data from dairy cows to enable an analysis of farm animal welfare on a larger scale using panel data.

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

BackgroundUsing 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.ResultsThe 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.ConclusionsThe 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.

286 Where Is On-farm Animal Welfare in the United States Headed? A Canadian Perspective

Abstract Both the United States and Canada are major exporters of pork, with market forces and consumer demand playing a more important role than legislation in defining production standards. Canadian welfare standards can be seen as intermediate between those in America and Europe, with the province of Quebec leading the way in Canada’s production of “high welfare” pork. In many other respects- such as farm size, diets, genetics and management, pig farms in Canada and the United States are very similar. What can U.S. producers learn from Canada’s experience in implementation of new welfare standards? This talk discusses Canada’s 2014 implementation of the Code of Practice for the Care and Handling of Pigs. The Code included multiple new requirements, including the transition to group housing for gestating sows, use of analgesics at castration and tail docking, space allowances and the provision of enrichment. Code development is overseen by the National Farm Animal Care Council (NFACC) in cooperation with the Canadian Pork Council (CPC) and with participation of government, industry and public partners. In 2020, the Pig Code underwent a 5-year review, which resulted in eight major recommendations. Five of those recommendations will require amendments to the code and are yet to be approved. Each change illustrates a balance between economics and welfare in a highly competitive and changing industry. For example, the 2014 Code promoted adoption of group housing for sows by July 1, 2024. While integrated production systems committed to, and invested heavily in, implementation of group gestation, the cost of barn conversion and poor pork returns have been major deterrents on many farms. The CPC estimates that in 2021, 44% of Canada’s sow herd will be managed in groups. The Code review recognized that not all producers will be able to transition by 2024, and that forcing producers to convert on a strict timeline would result in a worsening of the animal’s welfare. The review recommended changing the date for implementation of group housing from 2024 to 2029. This more gradual transition will allow renovations to be part of a scheduled rebuild of an existing facility or new construction, with better long-term outcomes for producers and sow wellbeing.

285 Panel: Recent Practical Advancements Related to On-farm Animal Welfare in the United States

Abstract The purpose of this panel session is to highlight recent practical solutions and advancements to farm animal welfare challenges in the United States. Through a moderated discussion with session attendees, professionals and experts representing a variety of livestock industry and academic sectors will be given the opportunity to share their professional experiences in working to improve animal welfare by highlighting examples of practical solutions they have undertaken. Additionally, a discussion will be held on the future direction of farm animal welfare needs and barriers to implementation of animal welfare-related strategies.

284 Prop 12 and Its Implications for Future On-farm Animal Welfare in the United States

Abstract California’s Proposition 12, also known as the Farm Animal Confinement Initiative, will go into full effect starting in January 2022. This measure changes the minimum space requirement for egg-laying hens, calves raised for veal, and breeding sows within the state of California. These changes include housing that provides 1 to 1.5 square feet of floor space per hen within a cage-free system, 43 square feet of floor space per veal calf, and 24 square feet of floor space per sow. In addition, Proposition 12 would require producers to move the sows from gestation pens into farrowing crates for a maximum of 5 days before they are due to farrow. This measure also prohibits producers outside of California from importing their eggs, veal, or pork into the state unless they meet these minimum housing requirements. The goal of these requirements is to ensure that they animal can lie down, stand up, turn around, and fully extend their limbs without touching the sides of their stalls or another animal. While the intent of this new housing requirement may allow for a greater freedom of movement, animal welfare concerns are still prominent for group housing. For breeding sow, such concerns include injuries caused by social aggression, and, abnormal or harmful behaviors related to feed restriction. These welfare concerns can be addressed when considerations are given to the group composition (e.g., age and size of sows), pen mixing practices (e.g., pre or post breeding), feeding schedule [e.g., collective (trough, floor fed) or individual (electronic sow feeding, free access stalls)], and, pen structural quality (e.g., flooring, enrichment). Given that California represents approximately 15 percent of the American pork market, this measure will have considerable economic and ethical implications related to barn renovations, animal care staff training, and husbandry practices for the entire U.S. pork industry.

Effect of sample size and length of observation period on the reliability of apparent pig organ lesion prevalence

Comprehensive identification of on-farm animal-health issues still requires extensive efforts so that in practice such monitoring is applied only sparsely. An appealing approach to improve on-farm animal health and welfare monitoring is the application of organ lesion scoring data from the abattoir as such is instantly available for every commercial farm in Europe. Unfortunately, it is also well-known that organ lesion scoring is often unreliable because results are altered by several non-health-related factors, diluting the validity of lesion scoring prevalence as a proxy for on-farm animal health. However, it is theoretically possible to improve prevalence reliability a-posteriori by application of time-series smoothing. The aim of this paper was therefore to analyse whether it is practically possible to increase apparent prevalence estimation reliability retrospectively using a running average, and, if so, which window length and smallest sample size should be preferred in such an approach. Because no gold standard for direct evaluation of lesion reliability is available for field-data, apparent prevalence reliability had to be approximated using prevalence agreement over time. Results indicate that by raising the number of lesion scores per prevalence estimate, apparent prevalence agreement over time can in general be considerably increased. Based on findings presented, a reasonable threshold for prevalence estimation is given by at least n = 50 lesions per farm/abattoir/time-series segment. Results further suggest that it is necessary to consider differences in prevalence sample size for future monitoring purposes, because prevalences that are estimated on a continuum of different sample sizes put together in one evaluation may induce substantial error in prevalence estimates.

Iceberg Indicators for Animal Welfare in Rural Sheep Farms Using the Five Domains Model Approach.

Simple SummaryAnimal welfare is difficult to quantify, especially among farmers, in extensive rural sheep farms where there is a low level of animal interaction and a lack of technology. In this study, we searched for iceberg indicators of animal welfare using the Five Domains Model approach, and studied the relationship among sheep flight distance, sheep handling training and job satisfaction in extensive rural sheep systems. A structured survey was used to obtain socio-demographical, job satisfaction and sheep handling training data. A full animal welfare evaluation was performed on all farms; furthermore, a health status examination was also made in which blood and stool samples were taken. Four iceberg indicators were found with the potential to predict overall animal welfare scores on farms, and one to study state of mind in extensive rural sheep systems, as well as interactions among job satisfaction, training in sheep handling and sheep mind state.Animal welfare for sheep in extensive rural farms is difficult to quantify among rural farmers due to several factors, including the lack of technology and the low level of interaction they have with the animals. The purpose of this study was to search for animal-based iceberg indicators using the Five Domains Model approach and study the relationship between sheep reactive behavior (flight distance), sheep handling training and farmers job satisfaction. Thirteen extensive commercial dual-purpose sheep farms (n = 520 animals) were evaluated in Marulanda, Caldas (Colombia, South America). On-farm Animal Welfare Indicators (AWIN) were assessed using an adapted version of this protocol. Socio-demographic characteristics, sheep handling training and job satisfaction were evaluated using a structured interview. Blood and stool samples were taken to determine Fecal Egg Count and Packed Cell Volume. Bivariate regression models were used to find animal-based indicators that predicted Nutrition, Ambience, Health and Behavior welfare domains, and a Qualitative Behavior Analysis was used for mind state domain analysis. Body condition score (BCS) (p = 0.001), fleece cleanliness (p = 0.03), FAMACHA© Score (p = 0.05), and flight distance in meters (p = 0.19) were found to be indicators, and were useful for predicting overall welfare assessment (R2 = 0.85) on theses farms. Regarding mind welfare domain, Qualitative Behavioral Assessment found two principal components (PC) that explained 82% and 67% of the variance, and described emotional valence and energy levels of sheep, respectively. Sheep handling training (β = −8.75, p = 0.004) and job satisfaction (β = −7.5, p = 0.013) had a negative association with the average flock flight distance. Spearman’s rank correlations were significant (p < 0.001) between Fecal Egg Count, Packed Cell Volume, FAMACHA© Score (FS), Body Weight (BW) and, BCS. The strongest association was observed between Packed Cell Volume (PCV) and Fecal Egg Count (FEC) (r = −0.43), also FS was correlated with PCV (r = −0.28) and FEC (r = 0.21), and BCS was correlated with weight (r = 0.32). We suggest that these animal-based indicators could be useful as iceberg indicators for extensive sheep production systems and may set the ground for more research in small extensive sheep farms to develop strategies to find welfare problems and solutions.

Can on-farm animal welfare explain relative production differences between dairy herds?

AbstractThe aim of this study was to investigate factors responsible for between-herd variation in milk production, when genetic variation is controlled. Quantitative information regarding farms’ production environment and animal welfare, as evaluated annually by veterinarians and health and feeding records, were the factors studied. Principal component analysis was used to reduce the production environment variables as well as the welfare data. Two linear regression models were devised. The first model used welfare indicators and veterinary treatments to predict the difference between herds’ observed and potential milk yield. The second model explained the residual of the first model by feeding and animal-based indicator data. Together, these two models explained 62% of the variance in milk yield differences between herds. Specifically, feeding of the herd was the most important factor, accounting for 67%, followed by the production environment/animal welfare (30%) and finally animal health, assessed through veterinary treatments, explained the remaining 3% of the variance. A poor welfare rating adversely affected milk production. Similarly, a low score for fatness at slaughter, poor milk quality and high mortality all showed a clear negative association with production. It was found that while feeding remains a major factor, production environment and animal welfare also have significant roles to play when it comes to production. Notably, those farms with major animal welfare problems were shown to display milk yield below the Finnish average.

On-farm testing of dairy calves’ avoidance response to human approach: Effects of sex, age and test order

AbstractHuman approach tests are generally accepted as valid measures of the human-animal relationship and hence are widely included in on-farm welfare assessment protocols. Most measures of avoidance response to human approach in production animals have been developed and tested under experimental conditions rather than on commercial farms, thereby making the results less relevant for operational on-farm animal welfare assessment. By contrast, the current study was conducted on calves in their home pens. On 110 Norwegian dairy farms, 548 group-housed calves (aged 22-288 days) were tested individually for their behavioural response to an unfamiliar human approach by a single test person. To conduct the test, the respective calf manager administered concentrates to the manger, followed by the test person who approached each animal in turn in a standardised manner. The avoidance response of the individual calf was categorised as 0 to 5 (maximal to no avoidance) in reaction to an attempted approach and head touch by the test person. The statistical analyses showed that heifer calves were more avoidant compared to bull calves, as were younger bulls compared to older bulls, and that overall avoidance increased in calves that were not tested first.

Beyond 2020

Beyond 2020

Quantifying disease and defect carcass losses at processing to improve feedback in the lamb supply chain: an arthritis case study

Context Lamb producers are currently limited in their ability to make informed on-farm management changes with respect to disease and defects identified at processing. This is due to the limited accuracy and detail of information included in disease and defect feedback supplied by processors. Increasing transparency of the feedback can allow producers to make more informed on-farm decisions, and, subsequently, improve productivity and animal welfare. Aims Using arthritis as a case study, the aim was to develop a scoring system that estimates hot standard carcass weight (HSCW) losses due to trimming at processing, so as to improve feedback to lamb producers. Methods An observational cross-sectional study was conducted at a southern New South Wales commercial processing facility, over 6 months and in five week-long blocks, from 21 February 2019 to 5 July 2019. Carcass trim components removed due to the presence of arthritis (shank or leg) were recorded for 217 of the 42164 lamb carcasses processed. Utilising average lot HSCWs, the total proportion of HSCW lost due to arthritis trimming (TPL) was calculated for each arthritic carcass. Linear regression analysis, with a logit-transform of TPL, was fitted to the data. Key results Processing lot and trim-component category were found to be significant (P &amp;lt;&amp;lt; 0.001) explanatory variables for variation in TPL. Trim-component categories that were not significantly (P &amp;gt; 0.05) different were combined, with final categories being assigned arthritis trim scores as follows: 1, any forequarter shank; 2, any hindquarter shank; 3, any forequarter leg; and 4, any hindquarter leg. At an over-the-hooks carcass price of AU$7.83/kg and an average HSCW of 23.13 kg, these scores were used to estimate producer revenue losses per carcass (range AU$2.95–AU$18.08). Conclusions The accuracy and detail of information provided as feedback to lamb producers can be improved. For arthritis, this can be achieved using a trim-scoring system. Implications Altering feedback to include HSCW losses for processed lots in both kilograms and dollars against the associated disease or defect will better equip producers to make cost-effective on-farm management changes and reduce the impact on the lamb supply chain.

Refining consumer attitudes to milk and dairy product purchase and use to reduce food waste and improve animal welfare on-farm.

This Research Reflection raises awareness of the need to broaden perspectives and levels of multidisciplinary and interdisciplinary approaches when considering on-farm dairy cattle welfare. It starts with a brief overview of current animal welfare issues on dairy farms and how they are perceived by different stakeholders. Some divergences in points of view are discussed in more detail and the first steps in networking are mentioned. Particular emphasis is given to both milk and dairy product waste in industrialized countries and the potential effects of its reduction on changes in the production system. The needs for a quantification of such quota and retailer involvement are also analyzed from the perspective that on-farm animal welfare is directly linked to the amount of milk that might be removed from the food chain by adoption of welfare-friendly management, such as cow-calf systems.

Intact Tails as a Welfare Indicator in Finishing Pigs? Scoring of Tail Lesions and Defining Intact Tails in Undocked Pigs at the Abattoir.

Tail biting lesions are a potential measure of on-farm animal welfare, as a large range of stressors increase the risk for tail biting outbreaks. Further, tail biting is a major challenge, as lesions due to tail biting decrease animal welfare and health, as well as production efficiency and carcass quality. The aim of this study was to suggest a tail scoring system for use at slaughterhouses processing undocked pigs, and to link tail lesion scores to meat inspection data. A further aim was to suggest a definition for an intact enough tail. To validate the suggested scoring system we assessed tails before and after scalding and compared results to pathological examinations. In total, 14,433 tails were scored, and 117 tails were collected for pathological examination. After scalding, 49.2% of all tails were scored as fully intact. Of tails with lesions 2.5% were scored as having major acute wounds (>2 cm), while 11.6% had minor acute wounds (<2 cm), and 36.7% healed lesions. Intact tails were on average 31.5 cm (SD 2.5 cm) long. Lesion scored at the slaughter-line agreed well with the pathological assessment. Tail lesions were associated with several meat inspection findings: tails with more severe lesions and of shorter length increased the risk for meat inspection findings to a higher degree. A detailed lesion scoring method helps to identify carcasses at risk for condemnations, as well as being a potential method for on-farm welfare estimation. We suggest that a system for scoring tail lesions in undocked pigs should utilize a combination of scoring of the lesion and measuring the tail length. As bite marks or bruises on an otherwise intact tail were not a concern for meat hygiene, we suggest the definition of an intact enough tail could allow the inclusion of tails with these mild changes. Meat inspection findings in carcasses with tails scored as healed, but with no fresh lesions, and with more than 75% of the average intact length remaining were rather similar to those of fully intact tails. Based on these findings we suggest that a tail of this length, and with no visible fresh lesions could also be considered intact enough.

Evaluación de bienestar animal en fincas bovinas lecheras basadas en pastoreo en la Sabana de Bogotá, Colombia

Objetivo. Determinar un puntaje de bienestar animal (PBA) a nivel de hato para ganaderías lecheras utilizando un protocolo que involucrara variables basadas en los animales y en manejo/recursos, e identificar las variables que más contribuyen a la varianza del PBA. Materiales y métodos. Veinticinco fincas lecheras basadas en pastoreo (Trópico alto colombiano) fueron visitadas dos veces. Durante cada visita, 15 variables basadas en el animal y 13 basadas en manejo/recursos fueron evaluadas. Para cada variable se estableció un punto de corte negativo a nivel de hato para determinar el cumplimiento. En función del cumplimiento, se determinó un PBA (de 0 a 100) y las fincas se clasificaron como 'excelente', 'buena', 'aceptable' o 'no-aceptable'. Se usó una regresión lineal para evaluar la asociación entre variables a nivel de hato con PBA. Resultados. La mediana de PBA fue de 82 (mín=67; máx=97). Dos fincas fueron clasificadas como 'excelentes' (PBA=94.5), 20 como 'mejoradas' (PBA=82.5) y 3 como 'aceptables' (PBA=68). Entre todas las variables, el incumplimiento con respecto a mastitis subclínica, calificación de suciedad (patas y ubre), heridas en la línea ventral, recuentos de mosca Haematobia irritans y condición/limpieza del área de espera preordeño se asociaron significativamente con 5.6; 3.6; 6.7; 5.1; 6.5 y 6.1 puntos de reducción en el PBA, respectivamente (R2=0.84). Conclusiones. El nivel de bienestar encontrado fue bueno y alentador. No obstante, se identificaron seis variables que contribuyeron a un resultado desfavorable. Las estrategias de mejora podrían centrarse en estas variables para alcanzar un buen nivel de bienestar.

Calf- and herd-level factors associated with dairy calf reactivity

A positive relationship between handlers and animals in farm systems is essential because the human-animal relationship has implications for welfare and productivity. For this reason, on-farm animal welfare assessment protocols often include the behavioral response of animals to humans to measure the quality of the human-animal relationship. The existing literature has described this relationship as being multifactorial in nature. In the current study, we aimed to investigate the potential influence of farm management and infrastructure characteristics, calf manager traits, and intrinsic features of dairy calves on the human-animal relationship. To this end, an escape test was conducted with 698 calves on 30 dairy farms in Chile. This test measured the calf's response to the active approach of an unfamiliar human (and was scored from 0 [fearful] to 4 [friendly]). The explanatory variables used to predict calves' response in the escape test were grouped according to the following categories: (1) farm management and infrastructure (e.g., calf-dam separation age, space allowance); (2) calf manager (e.g., attitudes, behavior, and background); and (3) calf (e.g., breed, sex, age). We concluded that calf managers with additional jobs on the farm, no training, low job satisfaction, a greater proportion of negative contacts, and more negative attitudes were predictive of fearfulness in the escape test. Holstein breed (compared with Holstein and Jersey crossbreeds) was associated with greater odds of fearful calves. Our study confirms the association between animals' fear and handlers' features, which can potentially be used to select employees on a farm. Understanding the factors that influence fear responses in calves may highlight ways to improve the relationship between animals and humans.

Development of a simplified on-farm animal health and welfare benchmarking tool for pig herds

Animal health and welfare have become topics of increasing public interest. Especially improvements in the health and welfare of food-producing animals are currently being intensively researched. To be able to routinely assess the quality of health and welfare of individual pig herds for benchmarking purposes in a simple and robust way, a short and easy to use measuring tool is needed. Since the very elaborate assessment tools of the Welfare Quality (R) (WQ) project (FOOD-CT-2004-506508) are too time-consuming for an assessment during a regular veterinary herd visit, easy to record indicators were targetly selected and supplemented by new elements in order to combine a number of measurements in one indicator, using the theoretical concept of iceberg indicators, which are thought to trigger further scrutiny into the management of pig herds that reveal potential deficiencies. The thus created simplified Herd Health and Welfare Index (HHWI) shows a theoretical range of 10 (very good) to a maximum of 30 (very bad) index points. It has been demonstrated that it can be used as an animal welfare measurement tool to compare herds within a group of pig herds that are measured by the same set of criteria. The HHWI has proven to be a rough, semi-quantitative, and a less elaborate tool than, for example, the complete protocol of the WQ-project. All in all, the HHWI has a broader range of application possibilities than the WQ-protocol due to its reduced number of criteria for the assessment of the health and welfare status of pig herds.