Literature DB >> 35881500

Weak genotype x environment interaction suggests that measuring scrotal circumference at 12 and 18 mo of age is helpful to select precocious Brahman cattle.

Bárbara M Nascimento1, Roberto Carvalheiro2, Rodrigo de A Teixeira1, Laila T Dias1, Marina R S Fortes3.   

Abstract

The aim of this study was to evaluate the genotype x environment interaction (GxE) for scrotal circumference (SC) measured at different ages using pedigree-based (A-1) and pedigree and genomic-based (H-1) relationship matrices. Data from 1,515 Brahman bulls, from the Cooperative Research Centre for Beef Genetic Technologies (Beef CRC) experimental dataset, were used in this study. SC was adjusted to age and body weight measured at 6 mo (SC6), 12 mo (SC12), 18 mo (SC18), and 24 mo of age (SC24). Body weight (BW) measured at 6 mo (BW6), 12 mo (BW12), 18 mo (BW18), and 24 mo of age (BW24) was used as criteria to describe the environment for SC in each age. All the animals measured were genotyped using medium-density SNP chips ("50k" or "70k" SNP) and their genotype were imputed using a reference panel with 729,068 SNP. The environment gradient (EG) was obtained by standardizing the solutions of the contemporary groups obtained by Animal Model with BW as the dependent variable. Then, the reaction norms (RN) were determined through a Random Regression Model. The breeding values (EBV) were estimated using either A-1 or H-1. The rank correlation was obtained using Spearman's correlation among the EBV estimated for the traits in analysis. For SC6 and SC24, higher estimates of heritability (h²) were obtained using A-1, when compared with those observed with H-1. In those ages, the improvement of the environment decreases the h² coefficient. On the other hand, the h² for SC12 and SC18 increased as the environment became more favorable, regardless of the matrix used. The RN for SC6 and SC24 estimated using A-1 and H-1 showed a decrease of variance from the worst to the best environment, an indication of existence of GxE. On the other hand, for SC12 and SC18, there were no significant differences between the EBV estimated in the lower and in the higher environments, regardless of the kinship matrix used, suggesting absence of GxE on those ages. Spearman's correlation among EBV estimated using A-1 and H-1 in different EG was practically equal to unity for all traits evaluated. In our study, there was weak evidence of GxE effect on SC in ages suitable for selection for sexual precocity. So, the absence of GxE at 12 and 18 mo means that these ages are advantageous for measuring SC to selection for sexual precocity. The advantage is that no changes in classification were observed when the sires were evaluated in different environments.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 Bos indicuszzm321990 ; cattle breeding; environmental gradient; estimated breeding values; high-density genotypes; reproductive traits−

Mesh:

Year:  2022        PMID: 35881500      PMCID: PMC9467030          DOI: 10.1093/jas/skac236

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.338


  22 in total

1.  Linear reaction norm models for genetic merit prediction of Angus cattle under genotype by environment interaction.

Authors:  F F Cardoso; R J Tempelman
Journal:  J Anim Sci       Date:  2012-01-13       Impact factor: 3.159

2.  Bayesian analysis of the linear reaction norm model with unknown covariates.

Authors:  G Su; P Madsen; M S Lund; D Sorensen; I R Korsgaard; J Jensen
Journal:  J Anim Sci       Date:  2006-07       Impact factor: 3.159

3.  Accuracy of prediction of genomic breeding values for residual feed intake and carcass and meat quality traits in Bos taurus, Bos indicus, and composite beef cattle.

Authors:  S Bolormaa; J E Pryce; K Kemper; K Savin; B J Hayes; W Barendse; Y Zhang; C M Reich; B A Mason; R J Bunch; B E Harrison; A Reverter; R M Herd; B Tier; H-U Graser; M E Goddard
Journal:  J Anim Sci       Date:  2013-05-08       Impact factor: 3.159

4.  Genetic analysis of female reproductive efficiency, scrotal circumference and growth traits in Nelore cattle.

Authors:  P I Schmidt; G S Campos; V M Roso; F R P Souza; A A Boligon
Journal:  Theriogenology       Date:  2019-02-01       Impact factor: 2.740

5.  Reaction norms for the study of genotype-environment interaction for growth and indicator traits of sexual precocity in Nellore cattle.

Authors:  M V A Lemos; H L J Chiaia; M P Berton; F L B Feitosa; C Aboujaoude; G C Venturini; H N Oliveira; L G Albuquerque; F Baldi
Journal:  Genet Mol Res       Date:  2015-06-29

6.  Reaction norm for yearling weight in beef cattle using single-step genomic evaluation.

Authors:  D P Oliveira; D A L Lourenco; S Tsuruta; I Misztal; D J A Santos; F R de Araújo Neto; R R Aspilcueta-Borquis; F Baldi; R Carvalheiro; G M F de Camargo; L G Albuquerque; H Tonhati
Journal:  J Anim Sci       Date:  2018-02-15       Impact factor: 3.159

7.  Genomic reaction norm models exploiting genotype × environment interaction on sexual precocity indicator traits in Nellore cattle.

Authors:  L F M Mota; G A Fernandes; A C Herrera; D C B Scalez; R Espigolan; A F B Magalhães; R Carvalheiro; F Baldi; L G Albuquerque
Journal:  Anim Genet       Date:  2020-01-15       Impact factor: 3.169

8.  Genome-wide association study for age at puberty in young Nelore bulls.

Authors:  Nedenia Bonvino Stafuzza; Eliane Vianna da Costa E Silva; Rafael Medeiros de Oliveira Silva; Luiz Carlos Cesar da Costa Filho; Fernanda Battistotti Barbosa; Gustavo Guerino Macedo; Raysildo B Lobo; Fernando Baldi
Journal:  J Anim Breed Genet       Date:  2019-09-12       Impact factor: 2.380

9.  Growth and pubertal development in Brahman-, Boran-, Tuli-, Belgian Blue-, Hereford- and Angus-sired F1 bulls.

Authors:  D D Lunstra; L V Cundiff
Journal:  J Anim Sci       Date:  2003-06       Impact factor: 3.159

10.  Genotype × environment interactions.

Authors:  J Bowman
Journal:  Ann Genet Sel Anim       Date:  1972
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