Canario Laurianne, Bijma Piter, David Ingrid, Camerlink Irene, Martin Alexandre, Rauw Wendy Mercedes, Flatres-Grall Loïc, van der Zande Lisette, Turner Simon P, Larzul Catherine, Rydhmer Lotta
GenPhySE, INRAE French National Institute for Agriculture, Food, and Environment, ENVT, Université de Toulouse, Toulouse, France.
Animal Breeding and Genomics, Wageningen University & Research, Wageningen, Netherlands.
Front Genet. 2020 Dec 23;11:611073. doi: 10.3389/fgene.2020.611073. eCollection 2020.
Innovations in the breeding and management of pigs are needed to improve the performance and welfare of animals raised in social groups, and in particular to minimise biting and damage to group mates. Depending on the context, social interactions between pigs can be frequent or infrequent, aggressive, or non-aggressive. Injuries or emotional distress may follow. The behaviours leading to damage to conspecifics include progeny savaging, tail, ear or vulva biting, and excessive aggression. In combination with changes in husbandry practices designed to improve living conditions, refined methods of genetic selection may be a solution reducing these behaviours. Knowledge gaps relating to lack of data and limits in statistical analyses have been identified. The originality of this paper lies in its proposal of several statistical methods for common use in analysing and predicting unwanted behaviours, and for genetic use in the breeding context. We focus on models of interaction reflecting the identity and behaviour of group mates which can be applied directly to damaging traits, social network analysis to define new and more integrative traits, and capture-recapture analysis to replace missing data by estimating the probability of behaviours. We provide the rationale for each method and suggest they should be combined for a more accurate estimation of the variation underlying damaging behaviours.
需要在猪的育种和管理方面进行创新,以提高群居饲养动物的性能和福利,特别是将咬伤和对同伴的伤害降至最低。根据具体情况,猪之间的社交互动可能频繁或不频繁、具有攻击性或无攻击性。可能会导致受伤或情绪困扰。导致对同种个体造成伤害的行为包括后代残杀、咬尾巴、耳朵或外阴,以及过度攻击。结合旨在改善生活条件的饲养方式的改变,精细的基因选择方法可能是减少这些行为的一种解决方案。已经发现了与数据缺乏和统计分析局限性相关的知识空白。本文的独到之处在于提出了几种常用的统计方法,用于分析和预测不良行为,以及在育种背景下用于遗传应用。我们关注反映同伴身份和行为的互动模型,这些模型可直接应用于有害性状;关注社会网络分析,以定义新的、更综合的性状;关注捕获-再捕获分析,通过估计行为概率来替代缺失数据。我们为每种方法提供了理论依据,并建议将它们结合起来,以便更准确地估计有害行为背后的变异。