Literature DB >> 30873672

Reaction norm analysis of pig growth using environmental descriptors based on alternative traits.

Sarita Zhe Ying Guy1,2, Li Li2, Peter Campbell Thomson1,2, Susanne Hermesch2.   

Abstract

Contemporary group (CG) estimates of different phenotypes have not been widely explored for pigs. The objective of this study was to extend the traits used to derive environmental descriptors of the growing pig, to include CG estimates of early growth between birth and start of feed intake test (EADG), growth during feed intake test (TADG), lifetime growth (ADG), daily feed intake (DFI), backfat (BF) and muscle depth (MD). Pedigree and performance records (n = 7,746) from a commercial Australian piggery were used to derive environmental descriptors based on CG estimates of these six traits. The CG estimates of growth traits described different aspects of the environment from the CG estimates of carcass traits (r < 0.10). These definitions of the environment then were used in reaction norm analysis of growth, to evaluate sire-by-environment interaction (Sire × E) for growth. The most appropriate reaction norm model to evaluate Sire × E for growth was dependent on the environmental descriptor used. If the trait used to derive an environmental descriptor was distinctly different from growth (e.g., BF and MD), CG as an additional random effect was required in the model. If not included, inflated common litter effect and sire intercept variance suggest there was unaccounted environmental variability. There was no significant Sire × E using any of the definitions of the environment, with estimated variance in sire slopes largest when environments were defined by BF ( σ ^ bi 2  = 97 ± 83 (g/day)2 ), followed by environments defined by DFI ( σ ^ bi 2  = 39 ± 101 (g/day)2 ). While there appears to be differences in ability to detect Sire × E, improved data structure is required to better assess these environmental descriptors based on alternative traits. The ideal trait, or combination of traits, used to derive environmental descriptors may be unique for individual herds. Therefore, multiple phenotypes should be further explored for the evaluation of Sire × E for growth in the pig.
© 2019 Blackwell Verlag GmbH.

Entities:  

Keywords:  environment; genotype-by-environment interaction; performance; sire-by-environment interaction

Mesh:

Year:  2019        PMID: 30873672     DOI: 10.1111/jbg.12388

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  4 in total

1.  Genomic analysis of the slope of the reaction norm for body weight in Australian sheep.

Authors:  Dominic L Waters; Sam A Clark; Nasir Moghaddar; Julius H van der Werf
Journal:  Genet Sel Evol       Date:  2022-06-03       Impact factor: 5.100

2.  Multiple trait breeding programs with genotype-by-environment interactions based on reaction norms, with application to genetic improvement of disease resilience.

Authors:  Jack C M Dekkers
Journal:  Genet Sel Evol       Date:  2021-12-13       Impact factor: 4.297

3.  Genetic analysis of disease resilience of wean-to-finish pigs under a natural disease challenge model using reaction norms.

Authors:  Jian Cheng; KyuSang Lim; Austin M Putz; Anna Wolc; John C S Harding; Michael K Dyck; Frederic Fortin; Graham S Plastow; Jack C M Dekkers
Journal:  Genet Sel Evol       Date:  2022-02-08       Impact factor: 4.297

4.  Genotype-by-environment interactions for reproduction, body composition, and growth traits in maternal-line pigs based on single-step genomic reaction norms.

Authors:  Shi-Yi Chen; Pedro H F Freitas; Hinayah R Oliveira; Sirlene F Lázaro; Yi Jian Huang; Jeremy T Howard; Youping Gu; Allan P Schinckel; Luiz F Brito
Journal:  Genet Sel Evol       Date:  2021-06-17       Impact factor: 4.297

  4 in total

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