Literature DB >> 21421832

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

M Mattar1, L O C Silva, M M Alencar, F F Cardoso.   

Abstract

The objective of this study was to investigate the presence of genotype × environment interactions (G×E) for long-yearling weight in Canchim cattle (5/8 Charolais + 3/8 zebu) in Brazil using reaction norms (RN). The hierarchical RN model included the fixed effect of age of the animal (linear coefficient) and random effects of contemporary groups and additive animal genetic intercept and slope of the RN and contemporary group effects as random effects. Contemporary groups as the most elemental representation of management conditions in beef cattle were chosen to represent the environmental covariate of the RN. The deviance information criteria demonstrated that a homoskedastic residual RN model provided a better data fit compared with a heteroskedastic counterpart and with a traditional animal model, which had the worst fit. The environmental gradient for long-yearling weight based on contemporary group effects ranged from -105 to 150 kg. The additive direct variance and heritability estimates increased with increasing environmental gradient from 74.33 ± 22.32 to 1,922.59 ± 258.99 kg(2) and from 0.08 ± 0.02 to 0.68 ± 0.03, respectively. The high genetic correlation (0.90 ± 0.03) between the intercept and the slope of the RN shows that animals with the greatest breeding values best responded to environmental improvement, characterizing scale effect as the source of G×E for long-yearling weight. The phenotypic plasticity demonstrated by the slope of the RN of the animal indicates the possibility to change genotype expression along the environmental gradient through selection. The results demonstrate the importance of accounting for G×E in the genetic evaluation of this population.
© 2011 American Society of Animal Science. All rights reserved.

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Year:  2011        PMID: 21421832     DOI: 10.2527/jas.2010-3770

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


  10 in total

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

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Journal:  Trop Anim Health Prod       Date:  2016-06-24       Impact factor: 1.559

2.  Reaction norm model to describe environmental sensitivity across first lactation in dairy cattle under tropical conditions.

Authors:  Annaiza Braga Bignardi; Lenira El Faro; Rodrigo Junqueira Pereira; Denise Rocha Ayres; Paulo Fernando Machado; Lucia Galvão de Albuquerque; Mário Luiz Santana
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3.  Genotype by environment interaction for stayability of Red Angus in the United States.

Authors:  Dennis J Fennewald; Robert L Weaber; William R Lamberson
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

4.  Multi-trait linear reaction norm model to describe the pattern of phenotypic expression of some economic traits in beef cattle across a range of environments.

Authors:  Mário Luiz Santana; Joanir Pereira Eler; Annaiza Braga Bignardi; Alberto Menéndez-Buxadera; Fernando Flores Cardoso; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2014-09-21       Impact factor: 3.240

5.  Genotype by environment interaction for tick resistance of Hereford and Braford beef cattle using reaction norm models.

Authors:  Rodrigo R Mota; Robert J Tempelman; Paulo S Lopes; Ignacio Aguilar; Fabyano F Silva; Fernando F Cardoso
Journal:  Genet Sel Evol       Date:  2016-01-14       Impact factor: 4.297

6.  Selection signatures in Canchim beef cattle.

Authors:  Ismael Urbinati; Nedenia Bonvino Stafuzza; Marcos Túlio Oliveira; Tatiane Cristina Seleguim Chud; Roberto Hiroshi Higa; Luciana Correia de Almeida Regitano; Maurício Mello de Alencar; Marcos Eli Buzanskas; Danísio Prado Munari
Journal:  J Anim Sci Biotechnol       Date:  2016-05-05

7.  A fine structure genetic analysis evaluating ecoregional adaptability of a Bos taurus breed (Hereford).

Authors:  H D Blackburn; B Krehbiel; S A Ericsson; C Wilson; A R Caetano; S R Paiva
Journal:  PLoS One       Date:  2017-05-01       Impact factor: 3.240

8.  Detection of unrecorded environmental challenges in high-frequency recorded traits, and genetic determinism of resilience to challenge, with an application on feed intake in lambs.

Authors:  Carolina Andrea Garcia-Baccino; Christel Marie-Etancelin; Flavie Tortereau; Didier Marcon; Jean-Louis Weisbecker; Andrés Legarra
Journal:  Genet Sel Evol       Date:  2021-01-06       Impact factor: 4.297

9.  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

Review 10.  Genotype by environment interaction and breeding for robustness in livestock.

Authors:  Wendy M Rauw; Luis Gomez-Raya
Journal:  Front Genet       Date:  2015-10-20       Impact factor: 4.599

  10 in total

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