Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models

Bruno Bastos Teixeira, Rodrigo Reis Mota, Raysildo Barbosa Lôbo, Luciano Pinheiro da Silva, Antônio Policarpo Souza Carneiro, Felipe Gomes da Silva, Giovani da Costa Caetano and Fabyano Fonseca e Silva
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Bruno Bastos Teixeira: Departament of Basic Sciences, Federal University of Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
Rodrigo Reis Mota: TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium
Raysildo Barbosa Lôbo: Department of Genetics, University of São Paulo, Ribeirão Preto, Brazil
Luciano Pinheiro da Silva: Departament of Animal Science, Federal University of Ceará, Fortaleza, Brazil
Antônio Policarpo Souza Carneiro: Departament of Statistics, Federal University of Viçosa, Viçosa, Brazil
Felipe Gomes da Silva: Departament of Animal Science and Rural Extension, Federal University of Mato Grosso, Cuiabá, Brazil
Giovani da Costa Caetano: Departament of Animal Science, Federal University of Viçosa, Viçosa, Brazil
Fabyano Fonseca e Silva: Departament of Animal Science, Federal University of Viçosa, Viçosa, Brazil

Czech Journal of Animal Science, 2018, vol. 63, issue 6, 212-221

Abstract: We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MTM). Variance components and genetic parameters estimates were performed via REML for all models. Twelve RRM were compared through Akaike (AIC) and Bayesian (BIC) information criteria. The model of order three for the fixed curve and four for all random effects (direct genetic, maternal genetic, permanent environment, and maternal permanent environment) fits best. Estimates of direct genetic, maternal genetic, maternal permanent environment, permanent environment, phenotypic and residual variances were similar between MTM and RRM. Heritability estimates were higher via RRM. We presented perspectives for the use of RRM for genetic evaluation of growth traits in Brazilian Nellore cattle. In general, moderate heritability estimates were obtained for the majority of studied traits when using RRM. Additionally, the precision of these estimates was higher when using RRM instead of MTM. However, concerns about the variance components estimates in advanced ages via Legendre polynomial must be taken into account in future studies.

Keywords: body weight; genetic parameters; growth curves (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjs:v:63:y:2018:i:6:id:21-2017-cjas

DOI: 10.17221/21/2017-CJAS

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