Abstract

To establish whether pig tail posture is affected by injuries and ill health, a machine vision system using 3D cameras to measure tail angle was used. Camera data from 1692 pigs in 41 production batches of 42.4 (±16.6) days in length over 17 months at seven diverse grower/finisher commercial pig farms, was validated by visiting farms every 14(±10) days to score injury and ill health. Linear modelling of tail posture found considerable farm and batch effects. The percentage of tails held low (0°) or mid (1–45°) decreased over time from 54.9% and 23.8% respectively by -0.16 and -0.05%/day, while tails high (45–90°) increased from 21.5% by 0.20%/day. Although 22% of scored pigs had scratched tails, severe tail biting was rare; only 6% had tail wounds and 5% partial tail loss. Adding tail injury to models showed associations with tail posture: overall tail injury, worsening tail injury, and tail loss were associated with more pigs detected with low tail posture and fewer with high tails. Minor tail injuries and tail swelling were also associated with altered tail posture. Unexpectedly, other health and injury scores had a larger effect on tail posture- more low tails were observed when a greater proportion of pigs in a pen were scored with lameness or lesions caused by social aggression. Ear injuries were linked with reduced high tails. These findings are consistent with the idea that low tail posture could be a general indicator of poor welfare. However, effects of flank biting and ocular discharge on tail posture were not consistent with this. Our results show for the first time that perturbations in the normal time trends of tail posture are associated with tail biting and other signs of adverse health/welfare at diverse commercial farms, forming the basis for a decision support system.

Highlights

  • Farmers, veterinarians and scientists use informal or formal observations of animal behaviour to detect ill health [1] and other behaviours of welfare concern [2]

  • We found that the proportion of pigs with low tails increased pre-outbreak, peaking when fresh tail damage was highest and declining after measures were taken to prevent further tail injury

  • We aimed to identify whether deviations from these farm/batch/time trends would occur due to relationships between: 1) Tail posture and tail injury scores; 2) Tail posture and other signs of ill health or injuries caused by other problem behaviours

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Summary

Introduction

Veterinarians and scientists use informal or formal observations of animal behaviour to detect ill health [1] and other behaviours of welfare concern [2]. The work of academic authors (RD, MJ, EB at SRUC) was funded at 80% full economic costs (SRUC) by this Innovate UK grant. Innovent Technology Limited (https://www.itlscotland.co.uk/ ) employed authors DB, QZ, and SF and received 60% of the costs they claimed against the project reimbursed by Innovate UK grant 103945. The remaining 40% of costs were self-funded by Innovent Technology Limited. Garth Pig Practice Limited (https://www.garthvet.co.uk/) employed author NB and received 60% of the costs they claimed against the project reimbursed by Innovate UK grant 103945. The remaining 40% of costs were self-funded by Garth Pig Practice Limited. Other commercial partners involved in the project include: Sainsbury’s Supermarkets Ltd https://www.about. The main project funders, Innovate UK (and the Scottish Government) had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

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