Literature DB >> 26857289

Prediction of reduction in aggressive behaviour of growing pigs using skin lesion traits as selection criteria.

S Desire1, S P Turner1, R B D'Eath1, A B Doeschl-Wilson2, C R G Lewis3, R Roehe1.   

Abstract

Aggression at regrouping is a common issue in pig farming. Skin lesions are genetically and phenotypically correlated with aggression and have been shown to have a significant heritable component. This study predicts the magnitude of reduction in complex aggressive behavioural traits when using lesion numbers on different body regions at two different time points as selection criteria, to identify the optimum skin lesion trait for selection purposes. In total, 1146 pigs were mixed into new social groups, and skin lesions were counted 24 h (SL24h) and 3 weeks (SL3wk) post-mixing, on the anterior, centre and posterior regions of the body. An animal model was used to estimate genetic parameters for skin lesion traits and 14 aggressive behavioural traits. Estimated breeding values (EBVs) and phenotypic values were scaled and standardised to allow direct comparison across multiple traits. Individuals with SL24h and SL3wk EBVs in the least aggressive 10% of the population were compared with the population mean to predict the expected genetic and phenotypic response in aggressive behaviour to selection. At mixing, selection for low anterior lesions was predicted to affect substantially more behavioural traits of aggressiveness than lesions obtained on other body parts, with EBVs between -0.21 and -1.17 SD below the population mean. Individuals with low central SL24h EBVs also had low EBVs for aggressive traits (-0.33 to -0.55). Individuals with high SL3wk EBVs had low EBVs for aggression at mixing (between -0.24 and -0.53 SD below the population mean), although this was predicted to affect fewer traits than selection against SL24h. These results suggest that selection against anterior SL24h would result in the greatest genetic and phenotypic reduction in aggressive behaviour recorded at mixing. Selection for increased SL3wk was predicted to reduce aggression at mixing; however, current understanding about aggressive behaviour under stable social conditions is insufficient to recommend using this trait for selection purposes.

Entities:  

Keywords:  aggression; genetics; pigs; selection; skin lesions

Mesh:

Year:  2016        PMID: 26857289     DOI: 10.1017/S1751731116000112

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  7 in total

1.  Genetic determinism of boar taint and relationship with growth traits, meat quality and lesions.

Authors:  C Dugué; A Prunier; M J Mercat; M Monziols; B Blanchet; C Larzul
Journal:  Animal       Date:  2020-02-13       Impact factor: 3.240

2.  Genetic Analysis of Novel Behaviour Traits in Pigs Derived from Social Network Analysis.

Authors:  Saif Agha; Simone Foister; Rainer Roehe; Simon P Turner; Andrea Doeschl-Wilson
Journal:  Genes (Basel)       Date:  2022-03-23       Impact factor: 4.141

3.  Systematic review of animal-based indicators to measure thermal, social, and immune-related stress in pigs.

Authors:  Raúl David Guevara; Jose J Pastor; Xavier Manteca; Gemma Tedo; Pol Llonch
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

4.  Genetic Associations of Novel Behaviour Traits Derived from Social Network Analysis with Growth, Feed Efficiency, and Carcass Characteristics in Pigs.

Authors:  Saif Agha; Simon P Turner; Craig R G Lewis; Suzanne Desire; Rainer Roehe; Andrea Doeschl-Wilson
Journal:  Genes (Basel)       Date:  2022-09-08       Impact factor: 4.141

Review 5.  Welfare Problems in Cattle, Pigs, and Sheep that Persist Even Though Scientific Research Clearly Shows How to Prevent Them.

Authors:  Temple Grandin
Journal:  Animals (Basel)       Date:  2018-07-20       Impact factor: 2.752

6.  Identification of Single Nucleotide Polymorphisms in Porcine MAOA Gene Associated with Aggressive Behavior of Weaned Pigs after Group Mixing.

Authors:  Ruonan Chen; Qingpo Chu; Chunyan Shen; Xian Tong; Siyuan Gao; Xinpeng Liu; Bo Zhou; Allan P Schinckel
Journal:  Animals (Basel)       Date:  2019-11-11       Impact factor: 2.752

7.  Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review.

Authors:  Kaitlin Wurtz; Irene Camerlink; Richard B D'Eath; Alberto Peña Fernández; Tomas Norton; Juan Steibel; Janice Siegford
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  7 in total

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