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China's poultry industry faces challenges in adopting and sustaining cage-free systems for poultry production. Effective interventions are crucial to support producers transitioning from cages to alternative systems or maintaining cage-free systems to improve animal welfare. However, little is known about how Chinese poultry producers perceive animal welfare in relation to cage-free systems and the importance of animal welfare in poultry production. Through a qualitative interview study with 30 Chinese farm owners, managers and senior managers from large-scale egg and broiler farms using cages and non-cage systems (collectively referred to as "producers"), this paper explores Chinese poultry producers' attitudes and perceptions regarding animal welfare and welfare in different poultry housing systems. Template analysis was used to analyse the data from semi-structured interviews, which generated themes related to the participants' awareness and understanding of the concept of animal welfare, the factors that impacted their choices of different housing systems, and the perceived priorities in poultry production. The responses revealed that the participating producers had a strong awareness and knowledge of animal welfare. However, the participants' understanding of the term is heterogeneous: generally, egg producers emphasised natural behaviours, whereas broiler producers prioritised health and productivity. Nevertheless, profitability, leadership, and organisational policies primarily influenced housing system choices rather than animal welfare values. Economic motives drove egg producers towards cage-free systems, prompted by consumers' and companies' demand for cage-free eggs committed to transitioning away from cages by 2025. In conclusion, tailored interventions for different poultry sectors within China are necessary. While animal welfare values matter, economic incentives seem more promising for steering the shift towards and maintaining cage-free poultry production., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Changes to the amount and patterns of sleep stages could be a useful tool to assess the effects of stress or changes to the environment in animal welfare research. However, the gold standard method, polysomnography PSG, is difficult to use with large animals such as dairy cows. Heart rate (HR) and heart rate variability (HRV) can be used to predict sleep stages in humans and could be useful as an easier method to identify sleep stages in cows. We compared the mean HR and HRV and lying posture of dairy cows at pasture and when housed, with sleep stages identified through PSG. HR and HRV were higher when cows were moving their heads or when lying flat on their side. Overall, mean HR decreased with depth of sleep. There was more variability in time between successive heart beats during REM sleep, and more variability in time between heart beats when cows were awake and in REM sleep. These shifts in HR measures between sleep stages followed similar patterns despite differences in mean HR between the groups. Our results show that HR and HRV measures could be a promising alternative method to PSG for assessing sleep in dairy cows.

Sleep is important for cow health and shows promise as a tool for assessing welfare, but methods to accurately distinguish between important sleep stages are difficult and impractical to use with cattle in typical farm environments. The objective of this study was to determine if data from more easily applied non-invasive devices assessing neck muscle activity and heart rate (HR) alone could be used to differentiate between sleep stages. We developed, trained, and compared two machine learning models using neural networks and random forest algorithms to predict sleep stages from 15 variables (features) of the muscle activity and HR data collected from 12 cows in two environments. Using k-fold cross validation we compared the success of the models to the gold standard, Polysomnography (PSG). Overall, both models learned from the data and were able to accurately predict sleep stages from HR and muscle activity alone with classification accuracy in the range of similar human models. Further research is required to validate the models with a larger sample size, but the proposed methodology appears to give an accurate representation of sleep stages in cattle and could consequentially enable future sleep research into conditions affecting cow sleep and welfare.

Despite the importance for both animal welfare and scientific integrity of effective welfare assessment in non-human primates, there has been little or no consensus as what should be assessed. A Delphi consultation process was undertaken to identify the animal- and environment-based measures of welfare for laboratory-housed macaques and to determine their relative importance in on-site welfare assessments. One-hundred fifteen potential indictors were identified through a comprehensive literature search, followed by a two-round iterative electronic survey process to collect expert opinion. Stable group response and consensus about the validity, reliability, and feasibility of the proposed indicators (67.5% agreement) was achieved by the completion of Round Two. A substantially higher proportion of environment-based measures (72%: n = 44/61) were considered as valid, reliable, and feasible compared to the animal-based measures (22%: n = 12/54). The indicators that ranked most highly for assessing welfare were the presence of self-harm behaviours and the provision of social enrichment. This study provides an empirical basis upon which these indicators can be validated and then integrated into assessment tools developed for macaques and emphasises the need to include both animal- and environment-based indicators for accurate welfare monitoring.

Objectives: The aim of this study was to investigate whether Australian cat owners are effectively meeting their cats' environmental needs and to identify areas of deficiency that may have an impact on the cats' health and welfare., Methods: An online survey investigating lifestyle factors and provision of environmental resources was distributed to Australian cat owners., Results: In total, 12,010 respondents, representing cat-owning households, completed the survey. Altogether, 45.5% were single-cat households and 54.5% were multi-cat households, with a mean number of two cats per household. In total, 46.3% of households contained indoor cats, 51.8% contained indoor-outdoor cats and 1.8% had mostly outdoor cats. Dry food was the predominant food type in 59% of households and few respondents fed their cats in a manner that stimulates natural predatory behaviours. Altogether, 17.1% of households reported cats with urinary problems such as haematuria or urethral obstruction, and 19.8% reported inappropriate urination outside of the litter tray. The incidence of urinary problems was found to be significantly increased in multi-cat households, those with a low number of litter trays, less frequent cleaning of the trays of faeces and the use of crystal type litter. The veterinary clinic was the most common place to obtain advice about feeding and toileting management., Conclusions and Relevance: An increased number of Australian households now contain multiple cats that live restricted or indoor lifestyles. Despite the majority of respondents claiming to have a lot of knowledge about cats and obtaining veterinary advice, deficiencies were identified in toileting facilities and feeding practices, which raises significant welfare concerns. Urinary tract disorders are an important cause of morbidity, mortality and relinquishment and its presence was associated with inadequate toileting facilities. Ongoing education of cat owners and an increased effort by veterinarians to include basic husbandry in preventative care consultations is critical to improving the welfare of pet cats.

This paper presents a summary of results from a 2012 survey that investigated feeding and housing management regimens currently adopted by dairy farmers in Britain. Responses from 863 farms provide a snapshot of dairy industry structure and a description of the range of management systems currently in operation. Outcomes highlight a diversity of management practices, showing that 31% of farms maintained a traditional grazing system with no forage feeding indoors during the summer, whereas 38% of farmers indicated that all their milking cows received some feeding indoors during the summer. A system of housing dairy cows for 24 h/d while they are lactating was implemented by 8% of farms, whereas 1% of farms did not house their cows at any time of the year. Statistical analyses were carried out on 3 distinct groups identified from survey responses: (1) farmers who did not undertake any indoor feeding during the summer; (2) farmers who fed all their milking cows indoors during the summer; and (3) farmers who continuously housed their cows for 24h/d while lactating. Results showed a significant relationship between management type and herd size, and between management type and breed type; on average, herd sizes were larger within systems that feed indoors. No significant relationship was found between management type and farm location when classified by estimated grassland productivity. The results indicate that traditional all-summer grazing is no longer the predominant system adopted by dairy farmers and that other systems such as all-year-round indoor feeding and continuous housing are becoming more prevalent in Britain., (Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)

A key indicator of resource use within farming is technical efficiency, which measures the amount of physical output attainable from a given set of inputs. The social aspects, in particular the treatment of animals, have generally been ignored within these measurement schemas. In addition, animal welfare will affect the production technology under which farms operate, and some allowance for this is needed within the measurement approach. This is the first paper to apply animal welfare as a discriminating technology within a technical efficiency framework. Using results from an animal welfare monitoring study coupled with resource usage data, it presents an adjusted measure of technical efficiency applied to a sample of British dairy farms and compares differences in lameness management strategies for herds. We employ both a categorical and nondiscretionary variant of the data envelopment analysis approach to measure technical efficiencies and adjust for various degrees of lameness prevalence among these farms. This paper finds that farms with low rates of lameness (below 10% of the cattle herd) tend to have significantly higher technical efficiencies than those with lameness rates of above 10% of the herd. Farms that have levels of lameness of between 10 to 20% of the herd and higher levels of lameness (above 20% of the herd) did not differ significantly. Furthermore, low lameness farms are inefficient in terms of labor and stocking density, but this is outweighed by the gain in milk yield obtained on these farms. Consequently, we argue for a whole-farm, rather than a partial indicator, approach to assessing efficiency when noneconomic factors such as lameness are accounted for. From a policy perspective, we support programs that encourage active lameness management., (Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)

The behavior of groups of housed, lactating dairy cattle was observed over 2 winter housing periods on 20 organic farms and 20 conventional farms in the United Kingdom. Three methods were used: (1) 6 video-clips of 10 min duration were captured of cows feeding at sections of the feed-bunk face during the peak feeding period (0 to 90 min) and continuously observed for aggressive interactions among cows; (2) the proportion of cows at the feed-bunk face was scanned every 15 min for 4.5h to include the peak feeding period (0 to 255 min); and (3) all nonfeeding behaviors were scanned every 15 min for 2.5h after the peak feeding period (120 to 255 min). The latter scans were analyzed post hoc for measures of cow comfort (freestall farms only). Management and health data were collected on each farm. On farms with open-fronted feed-bunk faces, a greater number of aggressive interactions occurred at the feed-bunk face at peak feeding time on organic farms than on conventional farms (organic = 36.3 ± 4.4; conventional = 29.1 ± 3.0). Higher proportions of cows were at the feed-bunk face at peak feeding on organic farms than on conventional farms (organic=0.58 ± 0.04; conventional=0.48 ± 0.03). Housing type (freestall versus straw pen) explained most differences in postfeeding behavior (proportion of ruminating cow in alleyways: freestalls=0.16±0.06 vs. straw-pen=0.08 ± 0.03), with few differences between organic and conventional herds. On freestall farms, the proportions of cows on organic farms lying down postfeeding was smaller than in conventional herds (organic=0.38 ± 0.09 vs. conventional=0.43 ± 0.07). Differences in behavior around peak feeding time could be associated with the reduction in food "quality" on organic farms compared with the energy requirement of the cows, with cows on organic farms being highly motivated to feed. A correlation was observed between farms that had high amounts of lying and farms that had high lameness prevalence (R(2)=55.3), suggesting a complex relationship between comfort and pain. Overall, the behavior of dairy cows on organic farms was not different from that of conventionally reared cows, and the results suggest that most behavioral welfare problems relating to housing could be alleviated by management practices., (Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)

The numbers of organic dairy farms are increasing in the United Kingdom and in other parts of the world. On organic farms, the use of veterinary medicines is restricted. Because of this, there is concern that cow health is poorer on these farms. As udder health is primarily maintained by the use of antimicrobials, the effect of organic status on mastitis and somatic cell counts (SCC) is important to investigate. The aim of this study was therefore to determine whether the organic status and other management factors affect SCC. A group of 80 dairy farms was used in the study: 40 organic farms and 40 nonorganic farms. The farms were recruited in pairs, and each organic:nonorganic pair was matched for herd size, housing type, genetic merit for milk production and geographical location. Somatic cell count data were extracted from national databases for a standard year (2004), and analyzed using stepwise logistic regression models. The organic status of the farm did not appear in the final model, indicating no major influence of organic status on SCC. There were, however, several effects of management on SCC. Somatic cell counts were lower on farms where the udders were not cleaned or cleaned only when dirty. Somatic cell counts were also lower on farms that kept cows in larger management groups and where the majority, but not all cases of mastitis are treated with antimicrobials. It can be concluded that the control measures used on the organic farms in this study are at least as effective as those used on nonorganic farms in controlling SCC. Other management factors are influential and attention to these factors will allow farmers to reduce SCC.

The presence of hock injury was assessed in the milking herds of 80 dairy farms (40 organic, 40 nonorganic) across the United Kingdom. A wide range of information on farm management and husbandry was gathered via interview to assess the factors contributing to hock damage for all 80 farms, and a comprehensive building appraisal was conducted for 40 farms visited during the winter housing period. The prevalence of hock lesions was lower on organic compared with nonorganic farms (37.2 vs. 49.1%). Prevalence of hock damage was greater in the spring than fall (59.9 vs. 21.6%) and cows housed in free-stalls had a greater prevalence of hock lesions than those housed on straw (46.0 vs. 25.0%). Prevalence of hock damage increased with lactation number. In the analysis of fall/spring data, the age first mated, herd biosecurity, duration of summer grazing, and cow milk yield were significant factors relating to herd hock damage. Larger herds had a greater proportion of cows with hock swellings. Farms with a shorter calving interval had more cows with hock swellings. Factors relating to housing conditions that were positively associated with the prevalence of hock damage were low feed face space per cow, inferior passageway cleanliness, low total standing area per cow, and the type of bedding added to the free-stall. To assess whether free-stall versus straw-pen or organic versus nonorganic farms had different sets of risk factors, the data were reanalyzed for these types separately. For the straw-pen farms a high culling rate was associated with more hock damage. Within nonorganic farms, the length of summer grazing was significant, with longer periods meaning less hock injury. The prevalence of hock injuries on many UK farms, both organic and non-organic, exceeded levels that are deemed acceptable for cow comfort. Efforts are needed to improve housing standards to reduce the prevalence of hock injury and consequently improve cow welfare.

Dairy calves are commonly fed milk from cows treated with antibiotics. The concentration of beta-lactam antibiotic residues found in milk from treated cows was used to determine the range of concentrations of penicillin used in a dose-regulated experiment. Thirty-one Holstein calves were randomly assigned to milk with penicillin G added at concentrations of 0, 6.25, 12.5, 25, and 50 microl/kg. Fecal swabs were taken from each calf twice weekly. Resistance to penicillin was tested by measuring the zone of inhibition in bacterial growth around a disk impregnated with the antibiotic. Inhibition was greatest for bacteria from calves fed milk with no penicillin (2.89 +/- 0.14 mm), and declined as the penicillin dose provided in the milk increased (to a low of 0.70 +/- 0.10 for the 50 microl/kg treatment group). In conclusion, resistance of gut bacteria to antibiotics increases with increasing concentrations of penicillin in the milk fed to dairy calves.