Literature DB >> 29766602

Study of the effect of genotype-environment interaction on age at first calving and production traits in Nellore cattle using multi-trait reaction norms and Bayesian inference.

Francisco Ribeiro de Araujo Neto1, Newton Tamassia Pegolo2, Rusbel Raul Aspilcueta-Borquis3, Matilde Conceição Pessoa4, Alexandre Bonifácio5, Raysildo Barbosa Lobo6, Henrique Nunes de Oliveira5.   

Abstract

This study investigated the effects of genotype-environment interaction on yearling weight, age at first calving and post-weaning weight gain in Nellore cattle using multi-trait reaction norm models. The environmental gradient was defined as a function of the mean yearling weight of the contemporary groups. A first-order random regression sire model with four classes of residual variance was used in the analyses and Bayesian methods were applied to estimate the (co)variance components. The heritability estimates ranged from 0.284 to 0.547, 0.222 to 0.316 and 0.256 to 0.522 for yearling weight, age at first calving and post-weaning weight gain, respectively. The lowest genetic correlations between environment groups for each trait were 0.38, 0.02 and 0.04 for yearling weight, age at first calving and post-weaning weight gain, respectively. Differences in the correlation estimates were observed between traits in the same environments, with the magnitude of the estimates tending toward zero as the environment improved. The results highlight the importance of including genotype-environment interactions in genetic evaluation programs considering the differences observed between environmental groups not only in terms of heritability, but also of genetic correlations.
© 2018 Japanese Society of Animal Science.

Entities:  

Keywords:  Gibbs sampler; environmental sensitivity; sexual precocity

Mesh:

Year:  2018        PMID: 29766602     DOI: 10.1111/asj.12994

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  2 in total

1.  Different selection practices affect the environmental sensitivity of beef cattle.

Authors:  Anielly de Paula Freitas; Mário Luiz Santana Júnior; Flavio Schramm Schenkel; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Goncalves Cyrillo; Claudia Cristina Paro de Paz
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

2.  Heteroscedastic Reaction Norm Models Improve the Assessment of Genotype by Environment Interaction for Growth, Reproductive, and Visual Score Traits in Nellore Cattle.

Authors:  Ivan Carvalho Filho; Delvan A Silva; Caio S Teixeira; Thales L Silva; Lucio F M Mota; Lucia G Albuquerque; Roberto Carvalheiro
Journal:  Animals (Basel)       Date:  2022-09-29       Impact factor: 3.231

  2 in total

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