Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil

Detalhes bibliográficos
Autor(a) principal: Ambrosini, Diego Pagung
Data de Publicação: 2012
Outros Autores: Carneiro, Paulo Luiz Souza, Braccini Neto, José, Malhado, Carlos Henrique Mendes, Martins Filho, Raimundo, Cardoso, Fernando Flores
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/12519
Resumo: The objective of this work was to evaluate the genotype × environment interaction (GEI), for the adjusted weight at 365 days of age, in Polled Nellore cattle from Northeastern Brazil, by using reaction norm models through random regression in a Bayesian approach. The analyzed models included the fixed effect of cow’s age (linear and quadratic), and the genetic additive and contemporary group random effects. The one‑step reaction norm models with homogeneous residual variance (RNHM1sHm) yielded better data adjustments than the models with heterogeneous residual variance, and the standard animal model (AM). The estimates of genetic variance (64.41±13.24 kg2 to 842.31±58.29 kg2) and heritability (0.11±0.01 to 0.63±0.02) increased as the environmental gradient improved. Spearman correlation values ranged from 0.69 to 0.99, among the classification of breeders with the highest breeding genetic values in AM and RNHM1sHm, in distinct environments, indicating changes in classification, particularly in the genetic values obtained by AM in high‑quality environments. The identification of such degree of GEI requires that specific evaluation of individuals and herds are performed for environments of low, medium and high production.
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spelling Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast BrazilInteração genótipo × ambiente para peso ao ano em bovinos Nelore Mocho no Nordeste do Brasilenvironmental gradient; Bayesian inference; random regression; genetic value; zebu cattle.gradiente ambiental; inferência bayesiana; regressão aleatória; valor genético; zebuínos.The objective of this work was to evaluate the genotype × environment interaction (GEI), for the adjusted weight at 365 days of age, in Polled Nellore cattle from Northeastern Brazil, by using reaction norm models through random regression in a Bayesian approach. The analyzed models included the fixed effect of cow’s age (linear and quadratic), and the genetic additive and contemporary group random effects. The one‑step reaction norm models with homogeneous residual variance (RNHM1sHm) yielded better data adjustments than the models with heterogeneous residual variance, and the standard animal model (AM). The estimates of genetic variance (64.41±13.24 kg2 to 842.31±58.29 kg2) and heritability (0.11±0.01 to 0.63±0.02) increased as the environmental gradient improved. Spearman correlation values ranged from 0.69 to 0.99, among the classification of breeders with the highest breeding genetic values in AM and RNHM1sHm, in distinct environments, indicating changes in classification, particularly in the genetic values obtained by AM in high‑quality environments. The identification of such degree of GEI requires that specific evaluation of individuals and herds are performed for environments of low, medium and high production.O objetivo deste trabalho foi avaliar a interação genótipo × ambiente (IGA) quanto ao peso ajustado aos 365 dias de idade, em bovinos da raça Nelore Mocha do Nordeste do Brasil, por meio de modelos de norma de reação, via regressão aleatória com abordagem bayesiana. Os modelos analisados incluíram o efeito fixo de idade da vaca (linear e quadrático) e os efeitos aleatórios genético aditivo e de grupo de contemporâneos. O modelo de norma de reação com variância residual homogênea e um passo (MHNRHO1P) proporcionou melhor ajuste aos dados do que os modelos com variância residual heterogênea e o modelo animal padrão (MA). As estimativas de variância genética (64,41±13,24 kg2 a 842,31±58,29 kg2) e herdabilidade (0,11±0,01 a 0,63±0,02) aumentaram com a melhoria do gradiente ambiental. As correlações de Spearman variaram de 0,69 a 0,99, entre as classificações dos reprodutores com maiores valores genéticos nos MA e MHNRHO1P, nos diferentes ambientes, o que indica alteração na classificação, especialmente dos valores genéticos obtidos pelo MA nos ambientes superiores. A identificação desse nível de IGA torna necessárias as avaliações específicas dos indivíduos e rebanhos para os ambientes de baixo, médio e alto nível de produção.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFAPESB UESBFAPESBUESBAmbrosini, Diego PagungCarneiro, Paulo Luiz SouzaBraccini Neto, JoséMalhado, Carlos Henrique MendesMartins Filho, RaimundoCardoso, Fernando Flores2012-11-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/12519Pesquisa Agropecuaria Brasileira; v.47, n.10, out. 2012; 1489-1495Pesquisa Agropecuária Brasileira; v.47, n.10, out. 2012; 1489-14951678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/12519/8146https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/12519/8201https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/12519/8202info:eu-repo/semantics/openAccess2012-12-04T21:23:58Zoai:ojs.seer.sct.embrapa.br:article/12519Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2012-12-04T21:23:58Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
Interação genótipo × ambiente para peso ao ano em bovinos Nelore Mocho no Nordeste do Brasil
title Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
spellingShingle Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
Ambrosini, Diego Pagung
environmental gradient; Bayesian inference; random regression; genetic value; zebu cattle.
gradiente ambiental; inferência bayesiana; regressão aleatória; valor genético; zebuínos.
title_short Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
title_full Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
title_fullStr Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
title_full_unstemmed Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
title_sort Genotype × environment interaction for yearling weight in Polled Nellore cattle in Northeast Brazil
author Ambrosini, Diego Pagung
author_facet Ambrosini, Diego Pagung
Carneiro, Paulo Luiz Souza
Braccini Neto, José
Malhado, Carlos Henrique Mendes
Martins Filho, Raimundo
Cardoso, Fernando Flores
author_role author
author2 Carneiro, Paulo Luiz Souza
Braccini Neto, José
Malhado, Carlos Henrique Mendes
Martins Filho, Raimundo
Cardoso, Fernando Flores
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv FAPESB UESB
FAPESB
UESB
dc.contributor.author.fl_str_mv Ambrosini, Diego Pagung
Carneiro, Paulo Luiz Souza
Braccini Neto, José
Malhado, Carlos Henrique Mendes
Martins Filho, Raimundo
Cardoso, Fernando Flores
dc.subject.por.fl_str_mv environmental gradient; Bayesian inference; random regression; genetic value; zebu cattle.
gradiente ambiental; inferência bayesiana; regressão aleatória; valor genético; zebuínos.
topic environmental gradient; Bayesian inference; random regression; genetic value; zebu cattle.
gradiente ambiental; inferência bayesiana; regressão aleatória; valor genético; zebuínos.
description The objective of this work was to evaluate the genotype × environment interaction (GEI), for the adjusted weight at 365 days of age, in Polled Nellore cattle from Northeastern Brazil, by using reaction norm models through random regression in a Bayesian approach. The analyzed models included the fixed effect of cow’s age (linear and quadratic), and the genetic additive and contemporary group random effects. The one‑step reaction norm models with homogeneous residual variance (RNHM1sHm) yielded better data adjustments than the models with heterogeneous residual variance, and the standard animal model (AM). The estimates of genetic variance (64.41±13.24 kg2 to 842.31±58.29 kg2) and heritability (0.11±0.01 to 0.63±0.02) increased as the environmental gradient improved. Spearman correlation values ranged from 0.69 to 0.99, among the classification of breeders with the highest breeding genetic values in AM and RNHM1sHm, in distinct environments, indicating changes in classification, particularly in the genetic values obtained by AM in high‑quality environments. The identification of such degree of GEI requires that specific evaluation of individuals and herds are performed for environments of low, medium and high production.
publishDate 2012
dc.date.none.fl_str_mv 2012-11-29
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/12519
url https://seer.sct.embrapa.br/index.php/pab/article/view/12519
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/12519/8146
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/12519/8201
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/12519/8202
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.47, n.10, out. 2012; 1489-1495
Pesquisa Agropecuária Brasileira; v.47, n.10, out. 2012; 1489-1495
1678-3921
0100-104x
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repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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