Literature DB >> 27342588

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

Diego Pagung Ambrosini1,2, Carlos Henrique Mendes Malhado3, Raimundo Martins Filho4, Fernando Flores Cardoso5, Paulo Luiz Souza Carneiro3.   

Abstract

We evaluate genotype × environment (G × E) interactions for age at first calving (AFC) and calving interval (CI) of Nellore cattle in northeastern Brazil using four hierarchical reaction norm models (HRNMs). The best-fit model for the traits was the one step heteroscedastic hierarchical reaction norm model. Heritability was close to zero in the worst environments and increased as the environments improved (from 0.06 to 0.12 for AFC and from 0.01 to 0.03 for CI). The correlations between the intercept and the slope of the reaction norms for CI and AFC were from medium to high magnitude (0.75 ± 0.10 and 0.90 ± 0.04, respectively), indicating that animals with higher average breeding values had the greatest responses to the improvement of environmental conditions. The variation in heritability indicates different response to selection according to the environment in which the animals of the population are evaluated. The G × E was evident in bulls with more female offspring. In conclusion, our data demonstrate that selection for AFC in medium- and high-level environments leads to higher genetic gains.

Entities:  

Keywords:  Age at first calving; Beef cattle; Calving interval; Environmental sensitivity; Genetic evaluation; Reaction norms

Mesh:

Year:  2016        PMID: 27342588     DOI: 10.1007/s11250-016-1105-7

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.559


  10 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.  Analysis of milk production traits in early lactation using a reaction norm model with unknown covariates.

Authors:  M M Shariati; G Su; P Madsen; D Sorensen
Journal:  J Dairy Sci       Date:  2007-12       Impact factor: 4.034

4.  Genotype × environment interaction for long-yearling weight in Canchim cattle quantified by reaction norm analysis.

Authors:  M Mattar; L O C Silva; M M Alencar; F F Cardoso
Journal:  J Anim Sci       Date:  2011-03-18       Impact factor: 3.159

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

Authors:  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
Journal:  J Anim Sci       Date:  2015-04       Impact factor: 3.159

6.  Phenotypic plasticity of composite beef cattle performance using reaction norms model with unknown covariate.

Authors:  M L Santana; J P Eler; F F Cardoso; L G Albuquerque; J B S Ferraz
Journal:  Animal       Date:  2012-09-27       Impact factor: 3.240

7.  Heritabilities and genetic correlations of body condition score and calving interval with yield, somatic cell score, and linear type traits in Brown Swiss cattle.

Authors:  R Dal Zotto; M De Marchi; C Dalvit; M Cassandro; L Gallo; P Carnier; G Bittante
Journal:  J Dairy Sci       Date:  2007-12       Impact factor: 4.034

8.  Genotype by environment interaction for first-lactation female fertility traits in UK dairy cattle.

Authors:  E Strandberg; S Brotherstone; E Wall; M P Coffey
Journal:  J Dairy Sci       Date:  2009-07       Impact factor: 4.034

9.  Genotype by environment interaction in Nelore cattle from five Brazilian states.

Authors:  Iara Del Pilar Solar Diaz; Henrique Nunes de Oliveira; Luis Antônio Framartino Bezerra; Raysildo Barbosa Lôbo
Journal:  Genet Mol Biol       Date:  2011-07-01       Impact factor: 1.771

10.  Response to mass selection when the genotype by environment interaction is modelled as a linear reaction norm.

Authors:  Rebecka Kolmodin; Piter Bijma
Journal:  Genet Sel Evol       Date:  2004 Jul-Aug       Impact factor: 4.297

  10 in total
  1 in total

1.  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

  1 in total

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