Investigating the effect of pen shape and pen size on group flight distance of extensively managed ewes

Feasibility of a Sheep Welfare Assessment Tool in the Pre-export Phase of Australian Live Export Industry

Sheep are exposed to numerous stressors and environments during the pre-export phase of the live export industry. Establishing how animal behavior, health and demeanor reflect their experiences prior to sea transport is the first step toward testing the suitability and practicality of animal welfare measures. A total of 240 merino wethers originating from four farms were assessed at four locations in the live export chain: on farm, upon arrival to the registered export feedlot (Fe1), prior to departing the feedlot (Fe2) and 30 min post loading onto a live export vessel. Each of these locations and time points represent relevant assessment points as part of the commercial live export process. Pen-side behavioral and health measures were collected. Video footage was collected and edited to provide 48 30–45 s duration clips that were then scored by 12 assessors against 10 demeanor terms using a Qualitative Behavioral Assessment (QBA) methodology; data were analyzed using Principal Components (PC) analysis. Repeated Measures ANOVAs tested for variation in each dependent measure across each location and time point. There were low levels of health issues recorded overall; however, seven health and behavior measures significantly varied across the locations and time points. Most vocalizing was recorded on farm; most drinking, eating and resting behaviors were recorded at Fe1 and ruminating at Fe2; while the highest percentage of wethers with ocular discharge and lameness was on the vessel. For QBA, PC1 explained 30.5% of the variability, with agitated and nervous loaded to one end of the axis and calm and relaxed loaded to the opposing end. PC2 explained 24.5% of the variability, with interested, alert and sociable loaded to one end of the axis and lethargic loaded to the opposing end. Spearman's rank correlations between behavior, health and PC scores indicated that wethers eating, ruminating and resting were scored as more calm/relaxed, while those scored as more agitated/nervous or/ lethargic were also likely to vocalize. Determining how wethers respond to the different environments in the immediate pre-export phase of the journey informs on their welfare and the practicality of using a behavior tool to assess animal welfare.

The welfare of ewes on stud and meat farms in southern Brazil

Context Brazilian sheep production chain includes farms that raise sheep to produce breeding rams and ewes, i.e. stud farms, and farms that raise sheep to breed lambs for meat. However, there are few studies on sheep welfare in Brazil. Aims To assess the welfare of sheep in Brazil, comparing ewes on stud and meat farms. Methods Seven stud (S) and 10 meat (M) farms were assessed in the metropolitan regions of Curitiba and Castro, State of Parana, using the Animal Welfare Indicators protocol for sheep. Results of both groups were compared using Fisher’s exact test for yes or no questions, Mann–Whitney test for non-normal data and linear mixed models to check each indicator, with significance level at 0.05. Key results Main characteristics that reduce sheep welfare were low body condition scores (40.6% on both groups), lesions to the legs (S = 45.9%, M = 56.0%), and pain induced by tail docking, with most ewes having a short tail length (S = 79.1%, M = 85.6%). Comparing both groups, ewes from stud farms presented less light faecal soiling (S = 1.3%, M = 27.0%), less faecal soiling and dags (S = 0%, M = 15.7%), better fleece cleanliness (S = 64.8%, M = 19.8%), fewer lesions to the head and neck (S = 3.2%, M = 12.3%), and higher frequency of panting (S = 28.0%, M = 1.5%). Conclusions We were able to identify the main welfare restrictions in both stud and meat farms, and the hypothesis that welfare is higher on stud farms was not confirmed. Implications The identification of on-farm welfare concerns as well as the differences between stud and meat farms allows for readily applicable recommendations, tailored to improve welfare within the prevalent sheep-rearing systems in southern Brazil. This experience with the Animal Welfare Indicators protocol for sheep in the Brazilian context may facilitate further studies and implementation of permanent welfare monitoring and action plans.

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

Simple Summary

Animal 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.

Abstract

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.