Literature DB >> 26020172

Genotype × environment interaction for age at first calving, scrotal circumference, and yearling weight in Nellore cattle using reaction norms in multitrait random regression models.

H L J Chiaia, M V A de Lemos, G C Venturini, C Aboujaoude, M P Berton, F B Feitosa, R Carvalheiro, L G Albuquerque, H N de Oliveira, F Baldi.   

Abstract

The aim of this study was to evaluate the effect of genotype × environment interaction (G×E) on age at first calving (AFC), scrotal circumference (SC), and yearling weight (YW) and to estimate genetic correlations between these traits in Nellore cattle using reaction norms in multitrait random regression models. In this study, 28,871, 41,386, and 89,152 records of Nellore cattle for AFC, SC, and YW, respectively, were used. The data were obtained from farms located in the north, northeast, midwest, and southeast regions of Brazil that participate in the DeltaGen Breeding Program. Environmental levels were defined as a function of contemporary groups, that is, animals born in the same herd and year, from the same management group (from birth to yearling), and of the same sex. Postweaning weight gain was used as a criterion to evaluate the environmental conditions for all traits. For reaction norm analyses, residual variances were modeled with homogeneous and heterogeneous classes. The model for SC and YW included the fixed effects of contemporary group and age of the animal as a covariate as well as random direct additive genetic and residual effects. The same model, excluding the covariate age of the animal, was used for AFC. The heritability estimates were low to high for AFC (0.09 to 0.50), high for SC (0.51 to 0.67), and moderate to high for YW (0.33 to 0.71). The genetic correlations (within each trait) along the environmental levels varied from -0.27 to 1.0 for AFC, from 0.73 to 1.0 for SC, and from 0.26 to 1.0 for YW. The genetic correlations between different traits in different environments varied from -0.14 to -0.60 between AFC and SC, from -0.05 to -0.32 between AFC and YW, and from -0.05 to 0.72 between YW and SC. The genetic correlations have had different magnitudes for AFC, SC, and YW, which could indicate the presence of G×E. The present results should support researchers and farmers in defining selection criteria to improve growth traits and sexual precocity. Our results suggest that animals for breeding have to be selected in the same environment and management conditions as their progeny will be reared.

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Year:  2015        PMID: 26020172     DOI: 10.2527/jas.2014-8217

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  8 in total

1.  Genotype × environment interactions in reproductive traits of Nellore cattle in northeastern Brazil.

Authors:  Diego Pagung Ambrosini; Carlos Henrique Mendes Malhado; Raimundo Martins Filho; Fernando Flores Cardoso; Paulo Luiz Souza Carneiro
Journal:  Trop Anim Health Prod       Date:  2016-06-24       Impact factor: 1.559

2.  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

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

Authors:  Bárbara M Nascimento; Roberto Carvalheiro; Rodrigo de A Teixeira; Laila T Dias; Marina R S Fortes
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

4.  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

5.  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

6.  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

7.  Genome-wide scan highlights the role of candidate genes on phenotypic plasticity for age at first calving in Nellore heifers.

Authors:  Lucio F M Mota; Fernando B Lopes; Gerardo A Fernandes Júnior; Guilherme J M Rosa; Ana F B Magalhães; Roberto Carvalheiro; Lucia G Albuquerque
Journal:  Sci Rep       Date:  2020-04-15       Impact factor: 4.379

Review 8.  Sustainable Intensification of Beef Production in the Tropics: The Role of Genetically Improving Sexual Precocity of Heifers.

Authors:  Gerardo Alves Fernandes Júnior; Delvan Alves Silva; Lucio Flavio Macedo Mota; Thaise Pinto de Melo; Larissa Fernanda Simielli Fonseca; Danielly Beraldo Dos Santos Silva; Roberto Carvalheiro; Lucia Galvão Albuquerque
Journal:  Animals (Basel)       Date:  2022-01-12       Impact factor: 2.752

  8 in total

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