Welfare Assessment, End-Point Refinement and the Effects of Non-Aversive Handling in C57BL/6 Mice with Lewis Lung Cancer

Cancer-bearing mice are at risk of developing anxiety, pain, or malaise. These conditions may not only harm welfare but could also undermine data quality and translational validity in studies to develop therapeutic interventions. We aimed to establish whether, or at what point mice developing lung cancer show these symptoms, what measures can best detect their onset, and if data quality and animal welfare can be enhanced by using non-aversive handling (NAH). Welfare was monitored using various daily methods. At the beginning and end of the study, we also scored behaviour for general welfare evaluation, recorded nociceptive thresholds, and applied the mouse grimace scale (MGS). Cancer caused a decline in daily welfare parameters (body weight, and food and water consumption) beginning at around 4 days prior to euthanasia. As cancer progressed, rearing and walking declined to a greater extent in cancer-bearing versus control mice, while grooming, inactive periods, and MGS scores increased. A decline in nest building capability and food consumption provided a particularly effective means of detecting deteriorating welfare. These changes suggested a welfare problem arose as cancer developed, so similar studies would benefit from refinement, with mice being removed from the study at least 4 days earlier. However, the problem of highly varied tumour growth made it difficult to determine this time-point accurately. There were no detectable beneficial effects of NAH on either data quality or in terms of enhanced welfare.

Weight management: insights from the science of human behaviour change

Helping animal owners to recognise and manage obesity in their animals is a particularly complex area of communications in veterinary medicine. Several studies have outlined the difficulty veterinary professionals face in such discussions, including frustration with the client, embarrassment (particularly if the owner is also overweight), and a sense of inevitable failure. However, obesity continues to be a serious and prevalent welfare problem in dogs, cats, and probably other companion animals as well — hence those discussions will only continue. This review considers veterinary surgeon–client interactions around obesity from the perspective of behaviour change psychology and motivational interviewing, in order to determine how veterinary surgeons and nurses can best assist owners. We consider how an approach based on a supportive and empathetic conversational style could be best suited to these discussions, leading to tailored weight management solutions. Nurses are ideally placed to work with owners in this way.

Some skin conditions in pigs: types, control and prevention

Skin conditions in pigs are common problems presented to the veterinary surgeon. A careful clinical examination, especially considering the age of the pig and the distribution of the lesions, all aids making an accurate diagnosis and treatment plan. Pain management is essential in clinical management. Sarcoptic mange is a condition that can be eliminated from pigs and should be considered a welfare problem. Ear necrosis and trauma injuries can be particularly problematic and must be treated aggressively. African swine fever (ASF) presents with a range of clinical signs including skin lesions, and all veterinary surgeons must be able to put ASF as a differential where appropriate.

Welfare of Native Goat Breeds in Serbia—Emphasis on Parasitological Infections

Native goat breeds in Serbia has been recognized as an important element of regional agrobiodiversity and play an important role in the safeguarding of cultural and traditional heritage. The aim of this study was to identify the main welfare issues likely to be encountered in extensive goat farming systems with an emphasis on parasitological infections. The study was conducted during the winter season on four small farms of native Balkan and Serbian white goats. For welfare assessment, animal-based indicators from AWIN protocol for goats were used. All fecal samples for parasites were qualitatively and quantitatively examined. The main welfare issues identified were poor hair coat condition (62.79%), dirty and light soiling hindquarters (31.40%), thin body condition score (26.74%), abscesses (19.78%), and udder asymmetry (18.60%). In addition, an important and prevalent welfare problem identified across all farms was parasite infection and weak significant (p < 0.001) correlation between certain parasites (Strongylidae, Moniezia spp., Buxtonella sulcate, and Protostrongylidae) and welfare indicators such as poor hair coat condition and nasal discharge. The results of this study provided the first overview and valuable insight into the impact of extensive systems on the welfare of native goats in the Balcan region.

The Dietary Risk Factors of Gastric Ulcers in Finishing Pigs from 16 Polish Farms

Sudden death caused by the acute form of gastric ulceration has developed into a widely recognised health and welfare problem. The importance of different triggering factors is poorly understood. The study was carried out on finishers slaughtered in Poland. The collected animal-level data were transformed to a herd-level dataset, which included 27 predictor variables. From a total of 32,264 pig stomachs examined, 23,188 (71.9%) had gastric lesions. Total of 17,703 organs (54.9%) had ulcers. Scores 1 (hyperkeratotic) and 2 (erosions) were observed in 2958 (9.2%) and 2527 (7.8%), respectively. A significant (p < 0.05) association of the ulcer prevalence was found for a number of variables. Raising the level of protein significantly (p = 0.04) increased (ρ = 0.22) the occurrence of gastric ulcers. The addition of wheat bran (p = 0.02) and its growing share in feed composition had the contrary effect (ρ = −0.27). Feeding pelleted feed was significantly associated (p = 0.001) with the higher prevalence of the disease, opposite to liquid feeding (p = 0.0002) and supplementation of a mycotoxin deactivator (p = 0.0008). Although, the immediate transition from one feeding system to another in most of the farms is impossible, the addition of materials such as wheat bran, and routine supplementation with mycotoxin deactivators may be a practical and relatively low-cost solution.

Assessment of Meat-Type Sheep Welfare Using Animal-Based Measures

This study aimed to assess the welfare of Tunisian sheep in extensive sheep production systems using animal-based measures of ewe welfare. This study encompasses the first national survey of sheep welfare in which animal-based outcomes were tested. Animal-based welfare measures were derived from previous welfare protocols. Fifty-two Tunisian farms were studied and a number from 20 to 100 animals by flock were examinated. The whole flock was also observed to detect clinical diseases, lameness, and coughing. The human-animal relationship was selected as welfare indicators. It was evaluated through the avoidance distance test. The average avoidance distance was 10.47 ± 1.23 and 8.12 ± 0.97 m for a novel person and farmer, respectively. The global mean of body condition score (BCS) was 2.4 with 47% of ewes having a BCS of two, which may be associated with an increased risk of nutritional stress, disease, and low productivity. Ten farms had more than 7% of lambs with a low body condition score, which may be an indication of a welfare problem. The results obtained in the present study suggest that the used animal-based measures were the most reliable indicators that can be included in welfare protocols for extensive sheep production systems.

Approximating nash social welfare under rado valuations

The Nash social welfare problem asks for an allocation of indivisible items to agents in order to maximize the geometric mean of agents' valuations. We give an overview of the constant-factor approximation algorithm for the problem when agents have Rado valuations [Garg et al. 2021]. Rado valuations are a common generalization of the assignment (OXS) valuations and weighted matroid rank functions. Our approach also gives the first constant-factor approximation algorithm for the asymmetric Nash social welfare problem under the same valuations, provided that the maximum ratio between the weights is bounded by a constant.

Using Expert Elicitation to Abridge the Welfare Quality® Protocol for Monitoring the Most Adverse Dairy Cattle Welfare Impairments

The Welfare Quality® consortium has developed and proposed standard protocols for monitoring farm animal welfare. The uptake of the dairy cattle protocol has been below expectation, however, and it has been criticized for the variable quality of the welfare measures and for a limited number of measures having a disproportionally large effect on the integrated welfare categorization. Aiming for a wide uptake by the milk industry, we revised and simplified the Welfare Quality® protocol into a user-friendly tool for cost- and time-efficient on-farm monitoring of dairy cattle welfare with a minimal number of key animal-based measures that are aggregated into a continuous (and thus discriminative) welfare index (WI). The inevitable subjective decisions were based upon expert opinion, as considerable expertise about cattle welfare issues and about the interpretation, importance, and validity of the welfare measures was deemed essential. The WI is calculated as the sum of the severity score (i.e., how severely a welfare problem affects cow welfare) multiplied with the herd prevalence for each measure. The selection of measures (lameness, leanness, mortality, hairless patches, lesions/swellings, somatic cell count) and their severity scores were based on expert surveys (14–17 trained users of the Welfare Quality® cattle protocol). The prevalence of these welfare measures was assessed in 491 European herds. Experts allocated a welfare score (from 0 to 100) to 12 focus herds for which the prevalence of each welfare measure was benchmarked against all 491 herds. Quadratic models indicated a high correspondence between these subjective scores and the WI (R2 = 0.91). The WI allows both numerical (0–100) as a qualitative (“not classified” to “excellent”) evaluation of welfare. Although it is sensitive to those welfare issues that most adversely affect cattle welfare (as identified by EFSA), the WI should be accompanied with a disclaimer that lists adverse or favorable effects that cannot be detected adequately by the current selection of measures.