Assessment Of Farm Animal Welfare Research Articles

Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition.

Simple SummaryThe welfare of farm animals is a growing concern in the EU and across the world. In milk production, there is a strong need to assess the welfare of dairy cows. One of the most sound assessment initiatives has been practiced using protocols developed by the Welfare Quality project. These protocols mainly support the assessment of cow welfare with animal-based indicators. However, evaluating these indicators is time-consuming and expensive, so using precision livestock farming (PLF) solutions is a way forward and is becoming a reality in the dairy industry. This review presents advances in PLF solutions, particularly in the last five years, and for assessing the animal-based indicators of lameness, mastitis, and body condition in dairy cattle farming.Specific animal-based indicators that can be used to predict animal welfare have been the core of protocols for assessing the welfare of farm animals, such as those produced by the Welfare Quality project. At the same time, the contribution of technological tools for the accurate and real-time assessment of farm animal welfare is also evident. The solutions based on technological tools fit into the precision livestock farming (PLF) concept, which has improved productivity, economic sustainability, and animal welfare in dairy farms. PLF has been adopted recently; nevertheless, the need for technological support on farms is getting more and more attention and has translated into significant scientific contributions in various fields of the dairy industry, but with an emphasis on the health and welfare of the cows. This review aims to present the recent advances of PLF in dairy cow welfare, particularly in the assessment of lameness, mastitis, and body condition, which are among the most relevant animal-based indications for the welfare of cows. Finally, a discussion is presented on the possibility of integrating the information obtained by PLF into a welfare assessment framework.

The welfare of pigs in rustic and technified production systems using the Welfare Quality protocols of pigs in Mexico: Validity of indicators of animal welfare as part of the sustainability criteria of pig production systems

Veterinaria México OA ISSN: 2448-6760Cite this as:Losada-Espinosa N,Trujillo Ortega ME, Galindo F. The welfare of pigs in rustic and technified production systems using the Welfare Quality protocols of pigs in Mexico: Validity of indicators of animal welfare as part of the sustainability criteria of pig production systems. Veterinaria México OA. 2017;4(4). doi: 10.21753/vmoa.4.4.521.The Welfare Quality® (WQ) protocols have been developed as a tool for the assessment of farm animal welfare based on scientific evidence. Animal welfare (AW) is part of the sustainability criteria of livestock production. A study was carried out in four states of Central Mexico in seven rustic (rPS) and six technified (tPS) production systems using the WQ protocol with the objective of providing an initial approximation of the welfare of animals and to discuss the validity of indicators of AW. The results showed that the animals housed in rustic units presented better results in the Good Health category and with respect to the criterion expression of social behaviour, while the frequency of criteria concerning Positive emotional states was higher in animals in the technified units. In the changing context in which the farms operate, including changing agricultural policies, new environmental and food safety regulations, variability of climatic conditions, and volatility in prices of inputs and outputs, it is not only the attributes referring to productivity and efficiency that become relevant. It is concluded that the criteria related to the WQ principles of health and behaviour are sensitive to changes in the housing and management of pigs. The high occurrences of health and behaviour problems recorded in technified systems are an indicator of poor welfare.Figure 4. Classification of rustic (RS) and technified (TS) production units within the welfare categories proposed by the Welfare Quality protocol.

Farm Animal Welfare Policy in Comparative Perspective: Determinants of Cross‐national Differences in Austria, Germany, and Switzerland

Societal concerns for the welfare of animals are increasing: a majority of Europeans believe that farm animals should be better protected. Even so, there is no systematic policy analytic assessment of the development and the determinants of animal welfare policy. This paper addresses these research gaps and contributes to the inclusion of the field of animal welfare in policy analysis. Austria, Germany, and Switzerland share comprehensive legislation in the field of farm animal welfare. However, concrete policies vary considerably between the three countries. Through an international comparison, the paper characterizes diverging policy instruments and identifies possible determinants of farm animal welfare policy derived from established theories of policy analysis. While perspectives focusing on party political difference add to the understanding of farm animal welfare policy in Germany and in Austria, this does not apply to the case of Switzerland. Here, theories focusing on the degree of international economic integration have a greater potential in understanding cross‐national differences. The paper thereby presents a first systematic assessment of farm animal welfare from a policy analysis perspective.

Is there a relationship between attitudes of shelter staff to cats and the cats’ approach behaviour?

One aspect of welfare that is measured in protocols used for the assessment of farm animal welfare is the human-animal relationship. The aim of the present study was to develop a ‘human approach test’ to measure the human-animal relationship in shelter cats and to investigate aspects of feasibility, reliability and validity of this test in a surveillance setting.Cat behaviour towards humans was assessed using a standardized approach in their home pens. Cats were categorized as ‘no contact possible’ when they withdrew, ‘froze’ or showed signs of aggression. ‘Contact possible’ was assigned to cats that stayed near and investigated the experimenter. In total, 725 cats in 30 shelters were tested and it was possible to initiate contact with 59±21% (Mean±S.D.) of the cats per shelter. To evaluate test-retest reliability of the approach test at shelter level, ten shelters were visited twice (mean number of days between visits: 58). Spearman rank correlation of the proportion of cats per shelter showing contact behaviour resulted in rs=0.68, P=0.032. No significant difference was found between visit 1 and visit 2 (P=0.799). Between-experimenter repeatability was tested at pen level in 8 shelters on a total of 221 cats in 36 housing units. The ratings of the first rater and the three second raters resulted in rs=0.99, p<0.001. We attempted to assess the validity of the approach test by investigating relationships with attitudes of staff and frequency of daily care reported by the shelter manager. To assess attitudes to cats, 127 members of shelter staff completed a questionnaire. Overall, shelter staff had a quite positive attitude to cats (e.g. positive characteristics of cats: 5.6±0.9 on a scale from one to seven). Negative quality of interactions was seldom reported (coercive handling: 1.8±1). Relationships between cat behaviour and the attitude of several subsamples of shelter staff (based on measures of time spent working with cats) were analysed at shelter level. Of 60 correlations, only two in different subsamples were significant. However, more frequent provision of fresh water (rs=0.38, p=0.044, N=28) and more frequent cleaning of food bowls (rs=0.38, p=0.036, N=30) were related to an increased proportion of cats showing contact behaviour.Overall, the test was feasible and showed very good to moderate reliability, but cat behaviour did not reflect caretaker attitudes in the shelters we visited. To develop valid animal-based measures of the human-shelter cat relationship further studies are needed.

Sequential sampling: a novel method in farm animal welfare assessment

Lameness in dairy cows is an important welfare issue. As part of a welfare assessment, herd level lameness prevalence can be estimated from scoring a sample of animals, where higher levels of accuracy are associated with larger sample sizes. As the financial cost is related to the number of cows sampled, smaller samples are preferred. Sequential sampling schemes have been used for informing decision making in clinical trials. Sequential sampling involves taking samples in stages, where sampling can stop early depending on the estimated lameness prevalence. When welfare assessment is used for a pass/fail decision, a similar approach could be applied to reduce the overall sample size. The sampling schemes proposed here apply the principles of sequential sampling within a diagnostic testing framework. This study develops three sequential sampling schemes of increasing complexity to classify 80 fully assessed UK dairy farms, each with known lameness prevalence. Using the Welfare Quality herd-size-based sampling scheme, the first ‘basic’ scheme involves two sampling events. At the first sampling event half the Welfare Quality sample size is drawn, and then depending on the outcome, sampling either stops or is continued and the same number of animals is sampled again. In the second ‘cautious’ scheme, an adaptation is made to ensure that correctly classifying a farm as ‘bad’ is done with greater certainty. The third scheme is the only scheme to go beyond lameness as a binary measure and investigates the potential for increasing accuracy by incorporating the number of severely lame cows into the decision. The three schemes are evaluated with respect to accuracy and average sample size by running 100 000 simulations for each scheme, and a comparison is made with the fixed size Welfare Quality herd-size-based sampling scheme. All three schemes performed almost as well as the fixed size scheme but with much smaller average sample sizes. For the third scheme, an overall association between lameness prevalence and the proportion of lame cows that were severely lame on a farm was found. However, as this association was found to not be consistent across all farms, the sampling scheme did not prove to be as useful as expected. The preferred scheme was therefore the ‘cautious’ scheme for which a sampling protocol has also been developed.

A Prototype Tool to Enable Farmers to Measure and Improve the Welfare Performance of the Farm Animal Enterprise: The Unified Field Index.

Simple SummaryBenchmarking is a tool widely used in agricultural industries that harnesses the experience of farmers to generate knowledge of practices that lead to better on-farm productivity and performance. We propose, by analogy with production performance, a method for measuring the animal welfare performance of an enterprise and describe a tool for farmers to monitor and improve the animal welfare performance of their business. A general framework is outlined for assessing and monitoring risks to animal welfare based on measures of animals, the environment they are kept in and how they are managed. The tool would enable farmers to continually improve animal welfare.Schemes for the assessment of farm animal welfare and assurance of welfare standards have proliferated in recent years. An acknowledged short-coming has been the lack of impact of these schemes on the welfare standards achieved on farm due in part to sociological factors concerning their implementation. Here we propose the concept of welfare performance based on a broad set of performance attributes of an enterprise and describe a tool based on risk assessment and benchmarking methods for measuring and managing welfare performance. The tool termed the Unified Field Index is presented in a general form comprising three modules addressing animal, resource, and management factors. Domains within these modules accommodate the principle conceptual perspectives for welfare assessment: biological functioning; emotional states; and naturalness. Pan-enterprise analysis in any livestock sector could be used to benchmark welfare performance of individual enterprises and also provide statistics of welfare performance for the livestock sector. An advantage of this concept of welfare performance is its use of continuous scales of measurement rather than traditional pass/fail measures. Through the feedback provided via benchmarking, the tool should help farmers better engage in on-going improvement of farm practices that affect animal welfare.

How assessing relationships between emotions and cognition can improve farm animal welfare.

The assessment of farm animal welfare requires a good understanding of the animals' affective experiences, including their emotions. Emotions are transient reactions to short-term triggering events and can accumulate to cause longer-lasting affective states, which represent good or bad welfare. Cognition refers to the mechanisms by which animals acquire, process, store and act on information from the environment. The objective of this paper is to highlight the two-way relationships between emotions and cognition that were originally identified in human psychology, and to describe in what ways these can be used to better access affective experiences in farm animals. The first section describes a recent experimental approach based on the cognitive processes that the animal uses to evaluate its environment. This approach offers an integrative and functional framework to assess the animal's emotions more effectively. The second section focuses on the influence of emotions on cognitive processes and describes recently developed methodologies based on that relationship, which may enable an assessment of long-term affective states in animals. The last section discusses the relevance of behavioural strategies to improve welfare in animals by taking their cognitive skills into account. Specific cognitive processes eliciting positive emotions will be emphasised. Research into affective states of animals is progressing rapidly and the ability to scientifically access animal feelings should contribute to the development of innovative farming practices based on the animals' sentience and their cognitive skills in order to truly improve their welfare.

Do farmers and scientists differ in their understanding and assessment of farm animal welfare?

AbstractIn response to an increased public awareness regarding how livestock are reared, animal welfare scientists have attempted to develop new methods of welfare assessment at the farm level. Furthermore, in recent years they have increasingly moved away from the conventional approach of evaluating the provision of resources necessary to ensure good welfare, and have instead focused on the use of animal-based measures of welfare. In contrast, it is believed that farmers use mostly resource-based and management-based measures (eg the provision of food, water and housing) when assessing the welfare of their animals. They also seem to be driven more by economic and financial concerns than by the welfare of the animalsper se, when it comes to the provision of animal welfare. Different approaches to the definition and assessment of farm animal welfare were explored in work carried out at Newcastle University as part of the Welfare Quality® project by both social and welfare scientists. Social scientists explored farmers’ perceptions and understanding of animal welfare, whilst welfare scientists developed animal-based measures of welfare for use in a prototype on-farm welfare monitoring system. Based on two separate surveys, this paper focuses on UK farmers’ perception and understanding of animal welfare and their criteria of assessment in contrast with those employed by welfare scientists, using a specific case study of pigs. Results show that, despite scientists being unaware of the findings from the farmer survey, they produced a set of measures to assess welfare which were very similar to those used by farmers. However, ‘instinctive’ terms used by farmers to describe (positive or negative) animal behaviour did not bear any relation to more objective welfare measures. Compared with conventional monitoring systems which focus more on the provision of resources to promote good welfare than on the animal itself, the prototype monitoring system may be more acceptable to farmers given that it uses similar animal-based measures to assess welfare to those they use themselves, and furthermore, the focus is on the animal.

The performance of farm animal assessment

AbstractThis paper argues that the current drive towards greater use of animal-based measures for welfare assessment raises important issues for how farm visits by welfare assessors are performed. As social scientists, we employ a number of contemporary social science ideas to offer a new approach to examining the practice and performance of farm animal assessment. We identify key findings from a recent study of contemporary farm assessment and speculate upon what some of the challenges of introducing animal-based measures may be. We conclude by arguing for a greater awareness of how sets of knowledge are made, circulated, practiced and become an integral component of the procedures, practices and discourses around farm animal welfare assessment in farm assurance.

Synthesis of semantic modelling and risk analysis methodology applied to animal welfare

Decision-making on animal welfare issues requires a synthesis of information. For the assessment of farm animal welfare based on scientific information collected in a database, a methodology called ‘semantic modelling’ has been developed. To date, however, this methodology has not been generally applied. Recently, a qualitative Risk Assessment approach has been published by the European Food Safety Authority (EFSA) for the first time, concerning the welfare of intensively reared calves. This paper reports on a critical analysis of this Risk Assessment (RA) approach from a semantic-modelling (SM) perspective, emphasizing the importance of several seemingly self-evident principles, including the definition of concepts, application of explicit methodological procedures and specification of how underlying values and scientific information lead to the RA output. In addition, the need to include positive aspects of welfare and overall welfare assessments are emphasized. The analysis shows that the RA approach for animal welfare could benefit from SM methodology to support transparent and science-based decision-making.

Emotions and cognition: a new approach to animal welfare

AbstractThe concept of quality of life in animals is closely associated with the concepts of animal sentience and animal welfare. It reflects a positive approach that inquires what animals like or prefer doing. The assessment of farm animal welfare requires a good understanding of the animals' affective experience, including their emotions. However, affective experience in animals is difficult to measure because of the absence of verbal communication. Recent studies in the field of cognitive psychology have shown that affective experience can be investigated without using verbal communication by examination of the interactions between emotions and cognition. On the one hand, appraisal theories provide a conceptual framework which suggests that emotions in humans are triggered by a cognitive process whereby the situation is evaluated on a limited number of elementary criteria such as familiarity and predictability. We have applied these appraisal theories to develop an experimental approach for studying the elementary criteria used by farm animals to evaluate their environment and the combinations of those criteria that trigger emotions. On the other hand, an increasing body of research, first in humans and then in other animals, suggests that emotions also influence cognitive processes by modifying attention, memory and judgement in a short- or long-term manner. Cognitive processes could therefore be manipulated and measured to provide new insights into how not only emotions but also more persistent affective states can be assessed in animals. Further work based on these cognitive approaches will offer new paradigms for improving our understanding of animal welfare, thus contributing to ‘a life of high quality’ in animals.

Scientists' Assessment of the Impact of Housing and Management on Animal Welfare

A total of 22 scientists contributed to a consensus-oriented conceptual framework for assessment of farm animal welfare, addressing priority issues in cattle, pigs, and chickens. They used the Delphi method, in which participants contributed anonymously through e-mail. The framework puts welfare in an evolutionary context. Welfare problems arise when animals are kept in environments to which they have difficulty adapting. For integrated welfare assessment, design criteria and welfare performance criteria must be used in which the former may be weighted based on the latter, which, in turn, may be weighted based on the aspects of intensity, duration, and incidence. The main performance criteria were pathological states, abnormal behaviors, and behavioral restrictions. Space, social conditions, and substrates were the main design criteria. Conventional housing systems generally ranked lower than alternative systems. In this article, we show that a broad consensus basis exists among welfare scientists concerning the assessment of farm animal welfare.

Assessment of Farm Animal Welfare at Herd Level: Many Goals, Many Methods

This paper describes and compares nine methods of assessing the welfare of farm animals at herd level. A distinction is made between two types of welfare parameter: the environmental and the animal-based. The relative weight of these parameters, together with variation in their measurability, explains many of the differences between the methods with which the paper is concerned. To discuss the merits of a given method it is necessary to look at the goal it is intended to serve. Some methods compare production systems well. Others are better used in assisting the individual farmer to improve the welfare of animals within his production system.

Development of a Decision Support System for Assessing Farm Animal Welfare in Relation to Husbandry Systems: Strategy and Prototype

Due to increasing empiricalinformation on farm animal welfare since the1960s, the prospects for sound decisionmakingconcerning welfare have improved. This paperdescribes a strategy to develop adecision-making aid, a decision support system,for assessment of farm-animal welfare based onavailable scientific knowledge. Such a decisionsupport system allows many factors to be takeninto account. It is to be developed accordingto the Evolutionary Prototyping Method, inwhich an initial prototype is improved inreiterative updating cycles. This initialprototype has been constructed. It useshierarchical representations to analysescientific statements and statements describingthe housing system. Welfare is assessed fromwhat is known about the biological needs of theanimals, using a welfare model in the form of atree that contains these needs as welfarecomponents. Each state of need is assessedusing welfare relevant attributes of thehousing system and weighting factors.Attributes are measurable properties of thehousing system. Weighting factors are assignedaccording to heuristic rules based on theprinciple of weighting all components(attributes and needs) equally, unless thereare strong reasons to do otherwise. Preliminarytests of the prototype indicate that it may bepossible to perform assessment of farm-animalwelfare in an explicit way and based onempirical findings. The procedure needs to berefined, but its prospects are promising.

Differences in heart rate response at feeding between stall housed and group housed sows

The scientific assessment of farm animal welfare requires an amalgam of different measures of both physiology and behaviour. Behavioural measures are relatively easy to obtain but non-invasive measures of internal physiology are somewhat harder to achieve. An increase in the use of applied physiology in training regimes of human athletes, has led to an improved technology of heart rate monitors, making the measurement of heart rates painless and easy to record.The objective of this experiment was to use a human heart rate monitor to investigate differences in heart rate response at feeding between sows housed in three different dry sow housing conditions. Schouten et al (1991) have demonstrated differences in heart rate response at feeding between loose-housed and tethered sows. In the study reported here, stall-housed sows were compared with sows housed in small groups and sows housed in a large group with an Electronic Feeder System (EFS).

Design and farm animal welfare.

Farm animal welfare and the design of farm buildings and equipment are interrelated. The animals' requirements and preferences should first be estimated and ways in which this can be done are discussed, as are methods of assessment of their environment. Some examples of the influence which housing and equipment design can have are given. Attention is drawn to the difficulties inherent in the assessment of farm animal welfare and the postulation made that the veterinarian is well fitted to carry out such assessments.