Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Genotype by environment interaction for yearling weight in Nellore cattle applying reaction norms models

S. Ribeiro A D , J. P. Eler A , V. B. Pedrosa B , G. J. M. Rosa C , J. B. S. Ferraz A and J. C. C. Balieiro A
+ Author Affiliations
- Author Affiliations

A Grupo de Melhoramento Animal e Biotecnologia, Departamento de Ciências Básicas, Universidade de São Paulo, Av. Duque de Caxias Norte, 225, 13635-000, Pirassununga, SP, Brazil.

B LeMA – Laboratório de estudos em Melhoramento Animal, Departamento de Zootecnia, Universidade Estadual de Ponta Grossa, Av. General Carlos Cavalcanti, 4748, 84010-290, Ponta Grossa, PR, Brazil.

C Department of Dairy Sciences, University of Wisconsin, 1675 Observatory Drive, Madison, WI 53706, USA.

D Corresponding author. Email: sandra_fzea@yahoo.com.br

Animal Production Science - https://doi.org/10.1071/AN17048
Submitted: 27 January 2017  Accepted: 30 May 2017   Published online: 21 July 2017

Abstract

In the present study, a possible existence of genotype × environment interaction was verified for yearling weight in Nellore cattle, utilising a reaction norms model. Therefore, possible changes in the breeding value were evaluated for 46 032 animals, from three distinct herds, according to the environmental gradient variation of the different contemporary groups. Under a Bayesian approach, analyses were carried out utilising INTERGEN software resulting in solutions of contemporary groups dispersed in the environmental gradient from –90 to +100 kg. The estimates of heritability coefficients ranged from 0.19 to 0.63 through the environmental gradient and the genetic correlation between intercept and slope of the reaction norms was 0.76. The genetic correlation considering all animals of the herds in the environmental gradient ranged from 0.83 to 1.0, and the correlation between breeding values of bulls in different environments ranged from 0.79 to 1.0. The results showed no effect of genotype × environment interaction on yearling weight in the herds of this study. However, it is important to verify a possible influence of the genotype × environment in the genetic evaluation of beef cattle, as different environments might cause interference in gene expression and consequently difference in phenotypic response.

Additional keywords: Bayesian inference, beef cattle, environmental sensitivity, genetic evaluation, random regression.


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