期刊
GENES
卷 13, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/genes13040561
关键词
social network analysis; genetic parameters; welfare; aggressiveness; pigs
资金
- BBSRC through the Roslin Institute 2021 Flexible Talent Mobility Award (FTMA)
- BBSRC Institute Strategic Program [BBS/E/D/30002275]
Social network analysis (SNA) provides new insights into the role of individual pigs in aggression. This study finds that SNA traits are heritable and strongly genetically correlated with skin lesion traits. A combination of eigenvector centrality and clustering coefficient may help reduce skin lesions.
Social network analysis (SNA) has provided novel traits that describe the role of individual pigs in aggression. The objectives were to (1) estimate the genetic parameters for these SNA traits, (2) quantify the genetic association between SNA and skin lesion traits, and (3) investigate the possible response to selection for SNA traits on skin lesion traits. Pigs were video recorded for 24 h post-mixing. The observed fight and bullying behaviour of each animal was used as input for the SNA. Skin lesions were counted on different body parts at 24 h (SL24h) and 3 weeks (SL3wk) post-mixing. A Bayesian approach estimated the genetic parameters of SNA traits and their association with skin lesions. SNA traits were heritable (h(2) = 0.09 to 0.26) and strongly genetically correlated (rg > 0.88). Positive genetic correlations were observed between all SNA traits and anterior SL24h, except for clustering coefficient. Our results suggest that selection for an index that combines the eigenvector centrality and clustering coefficient could potentially decrease SL24h and SL3wk compared to selection for each trait separately. This study provides a first step towards potential integration of SNA traits into a multi-trait selection index for improving pigs' welfare.
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