Genotype by environment interaction in Nelore cattle from five Brazilian states

Detalhes bibliográficos
Autor(a) principal: Diaz,Iara Del Pilar Solar
Data de Publicação: 2011
Outros Autores: Oliveira,Henrique Nunes de, Bezerra,Luis Antônio Framartino, Lôbo,Raysildo Barbosa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300012
Resumo: Records from 75,941 Nelore cattle were used to determine the importance of genotype by environment interaction (GEI) in five Brazilian states. (Co)variance components were estimated by single-trait analysis (with yearling weight, W450, considered to be the same trait in all states) and multiple-trait analysis (with the record from each state considered to be a different trait). The direct heritability estimates for yearling weight were 0.51, 0.39, 0.44, 0.37 and 0.41 in the states of Goiás, Mato Grosso, São Paulo, Mato Grosso do Sul and Minas Gerais, respectively. The across-state genetic correlation estimates between Goiás and Mato Grosso, Goiás and Minas Gerais, São Paulo and Minas Gerais, and Mato Grosso do Sul and Minas Gerais ranged from 0.67 to 0.75. These estimates indicate that GEIs are biologically important. No interactions were observed between Goiás and São Paulo, Goiás and Mato Grosso do Sul, Mato Grosso and São Paulo, Mato Grosso and Mato Grosso do Sul, Mato Grosso and Minas Gerais, or São Paulo and Mato Grosso do Sul (0.82 to 0.97). Comparison of single and multiple-trait analyses showed that selection based on the former was less efficient in the presence of GEI, with substantial losses (up to 10%) during selection.
id SBG-1_18e75f621f7e089a729554476820371b
oai_identifier_str oai:scielo:S1415-47572011000300012
network_acronym_str SBG-1
network_name_str Genetics and Molecular Biology
repository_id_str
spelling Genotype by environment interaction in Nelore cattle from five Brazilian statesBayesian inferencebeef cattlegenetic correlationRecords from 75,941 Nelore cattle were used to determine the importance of genotype by environment interaction (GEI) in five Brazilian states. (Co)variance components were estimated by single-trait analysis (with yearling weight, W450, considered to be the same trait in all states) and multiple-trait analysis (with the record from each state considered to be a different trait). The direct heritability estimates for yearling weight were 0.51, 0.39, 0.44, 0.37 and 0.41 in the states of Goiás, Mato Grosso, São Paulo, Mato Grosso do Sul and Minas Gerais, respectively. The across-state genetic correlation estimates between Goiás and Mato Grosso, Goiás and Minas Gerais, São Paulo and Minas Gerais, and Mato Grosso do Sul and Minas Gerais ranged from 0.67 to 0.75. These estimates indicate that GEIs are biologically important. No interactions were observed between Goiás and São Paulo, Goiás and Mato Grosso do Sul, Mato Grosso and São Paulo, Mato Grosso and Mato Grosso do Sul, Mato Grosso and Minas Gerais, or São Paulo and Mato Grosso do Sul (0.82 to 0.97). Comparison of single and multiple-trait analyses showed that selection based on the former was less efficient in the presence of GEI, with substantial losses (up to 10%) during selection.Sociedade Brasileira de Genética2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300012Genetics and Molecular Biology v.34 n.3 2011reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572011005000024info:eu-repo/semantics/openAccessDiaz,Iara Del Pilar SolarOliveira,Henrique Nunes deBezerra,Luis Antônio FramartinoLôbo,Raysildo Barbosaeng2011-08-05T00:00:00Zoai:scielo:S1415-47572011000300012Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2011-08-05T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Genotype by environment interaction in Nelore cattle from five Brazilian states
title Genotype by environment interaction in Nelore cattle from five Brazilian states
spellingShingle Genotype by environment interaction in Nelore cattle from five Brazilian states
Diaz,Iara Del Pilar Solar
Bayesian inference
beef cattle
genetic correlation
title_short Genotype by environment interaction in Nelore cattle from five Brazilian states
title_full Genotype by environment interaction in Nelore cattle from five Brazilian states
title_fullStr Genotype by environment interaction in Nelore cattle from five Brazilian states
title_full_unstemmed Genotype by environment interaction in Nelore cattle from five Brazilian states
title_sort Genotype by environment interaction in Nelore cattle from five Brazilian states
author Diaz,Iara Del Pilar Solar
author_facet Diaz,Iara Del Pilar Solar
Oliveira,Henrique Nunes de
Bezerra,Luis Antônio Framartino
Lôbo,Raysildo Barbosa
author_role author
author2 Oliveira,Henrique Nunes de
Bezerra,Luis Antônio Framartino
Lôbo,Raysildo Barbosa
author2_role author
author
author
dc.contributor.author.fl_str_mv Diaz,Iara Del Pilar Solar
Oliveira,Henrique Nunes de
Bezerra,Luis Antônio Framartino
Lôbo,Raysildo Barbosa
dc.subject.por.fl_str_mv Bayesian inference
beef cattle
genetic correlation
topic Bayesian inference
beef cattle
genetic correlation
description Records from 75,941 Nelore cattle were used to determine the importance of genotype by environment interaction (GEI) in five Brazilian states. (Co)variance components were estimated by single-trait analysis (with yearling weight, W450, considered to be the same trait in all states) and multiple-trait analysis (with the record from each state considered to be a different trait). The direct heritability estimates for yearling weight were 0.51, 0.39, 0.44, 0.37 and 0.41 in the states of Goiás, Mato Grosso, São Paulo, Mato Grosso do Sul and Minas Gerais, respectively. The across-state genetic correlation estimates between Goiás and Mato Grosso, Goiás and Minas Gerais, São Paulo and Minas Gerais, and Mato Grosso do Sul and Minas Gerais ranged from 0.67 to 0.75. These estimates indicate that GEIs are biologically important. No interactions were observed between Goiás and São Paulo, Goiás and Mato Grosso do Sul, Mato Grosso and São Paulo, Mato Grosso and Mato Grosso do Sul, Mato Grosso and Minas Gerais, or São Paulo and Mato Grosso do Sul (0.82 to 0.97). Comparison of single and multiple-trait analyses showed that selection based on the former was less efficient in the presence of GEI, with substantial losses (up to 10%) during selection.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572011000300012
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572011005000024
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.34 n.3 2011
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
_version_ 1752122384130768896