Relationship in the selection for productivity and oil and protein contents in soybean using mixed models

Detalhes bibliográficos
Autor(a) principal: Pinheiro, Larissa Correia de Melo
Data de Publicação: 2013
Outros Autores: God, Pedro Ivo Vieira Good, Faria, Vinícius Ribeiro, Oliveira, Ane Gabrielle, Hasui, Aline Akemi, Pinto, Eduardo Henrique Guimarães, Arruda, Klever Márcio Antunes, Piovesan, Newton Deniz, Moreira, Maurilio Alves
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/14921
Resumo: The objective of this work was to evaluate the influence of relationship information for selecting soybean progenies as to their productivity, and oil and protein contents, using mixed models for the prediction of breeding values. Nine hundred F4:6 and 200 F4:7 soybean progenies were evaluated in the seasons 2010/2011 and 2011/2012, respectively. The progenies were obtained from multiple crosses from 57 parents. Data were analyzed using random models (least squares) and mixed models BLUP/REML (best linear unbiased prediction/restricted maximum likelihood). The highest values of predicted gains were obtained by BLUP/REML. The breeding values predicted with the use of BLUP/REML without relationship information were highly correlated with the ones obtained with the random model, and the selected progenies were rather coincident. The inclusion of the relationship matrix resulted in the selection of different progenies and in higher accuracy of breeding values.
id EMBRAPA-4_8450c62e8614ead4cfdc550713a16a2d
oai_identifier_str oai:ojs.seer.sct.embrapa.br:article/14921
network_acronym_str EMBRAPA-4
network_name_str Pesquisa Agropecuária Brasileira (Online)
repository_id_str
spelling Relationship in the selection for productivity and oil and protein contents in soybean using mixed modelsParentesco na seleção para produtividade e teores de óleo e proteína em soja via modelos mistosGlycine max; BLUP/REML; selection gain; relationship matrixGlycine max; BLUP/REML; ganhos de seleção; matriz de parentescoThe objective of this work was to evaluate the influence of relationship information for selecting soybean progenies as to their productivity, and oil and protein contents, using mixed models for the prediction of breeding values. Nine hundred F4:6 and 200 F4:7 soybean progenies were evaluated in the seasons 2010/2011 and 2011/2012, respectively. The progenies were obtained from multiple crosses from 57 parents. Data were analyzed using random models (least squares) and mixed models BLUP/REML (best linear unbiased prediction/restricted maximum likelihood). The highest values of predicted gains were obtained by BLUP/REML. The breeding values predicted with the use of BLUP/REML without relationship information were highly correlated with the ones obtained with the random model, and the selected progenies were rather coincident. The inclusion of the relationship matrix resulted in the selection of different progenies and in higher accuracy of breeding values.O objetivo deste trabalho foi avaliar influência da informação de parentesco na seleção de progênies de soja quanto à produtividade e aos teores de óleo e proteína, com base no uso de modelos mistos de predição dos valores genéticos. Novecentas progênies F4:6 e 200 progênies F4:7 de soja foram avaliadas nas safras 2010/2011 e 2011/2012, respectivamente. As progênies foram obtidas de cruzamentos múltiplos a partir de 57 progenitores. Os dados foram analisados por meio de modelos aleatórios (quadrados mínimos) e mistos BLUP/REML (“best linear unbiased prediction/restricted maximum likelihood”). Os maiores valores de ganhos preditos foram obtidos com o BLUP/REML. Os valores genéticos preditos com o método BLUP/REML, sem informação de parentesco, apresentaram alta correlação com aqueles obtidos com o modelo aleatório, além de detectada alta coincidência das progênies selecionadas. A inclusão da matriz de parentesco resultou na seleção de progênies diferentes e em maior acurácia na predição dos valores genéticos.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPqCAPESFAPEMIG.Pinheiro, Larissa Correia de MeloGod, Pedro Ivo Vieira GoodFaria, Vinícius RibeiroOliveira, Ane GabrielleHasui, Aline AkemiPinto, Eduardo Henrique GuimarãesArruda, Klever Márcio AntunesPiovesan, Newton DenizMoreira, Maurilio Alves2013-12-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/14921Pesquisa Agropecuaria Brasileira; v.48, n.9, set. 2013; 1246-1253Pesquisa Agropecuária Brasileira; v.48, n.9, set. 2013; 1246-12531678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/14921/12421https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14921/9889https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14921/9898info:eu-repo/semantics/openAccess2013-12-04T12:06:13Zoai:ojs.seer.sct.embrapa.br:article/14921Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2013-12-04T12:06:13Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
Parentesco na seleção para produtividade e teores de óleo e proteína em soja via modelos mistos
title Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
spellingShingle Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
Pinheiro, Larissa Correia de Melo
Glycine max; BLUP/REML; selection gain; relationship matrix
Glycine max; BLUP/REML; ganhos de seleção; matriz de parentesco
title_short Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
title_full Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
title_fullStr Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
title_full_unstemmed Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
title_sort Relationship in the selection for productivity and oil and protein contents in soybean using mixed models
author Pinheiro, Larissa Correia de Melo
author_facet Pinheiro, Larissa Correia de Melo
God, Pedro Ivo Vieira Good
Faria, Vinícius Ribeiro
Oliveira, Ane Gabrielle
Hasui, Aline Akemi
Pinto, Eduardo Henrique Guimarães
Arruda, Klever Márcio Antunes
Piovesan, Newton Deniz
Moreira, Maurilio Alves
author_role author
author2 God, Pedro Ivo Vieira Good
Faria, Vinícius Ribeiro
Oliveira, Ane Gabrielle
Hasui, Aline Akemi
Pinto, Eduardo Henrique Guimarães
Arruda, Klever Márcio Antunes
Piovesan, Newton Deniz
Moreira, Maurilio Alves
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv
CNPq
CAPES
FAPEMIG.
dc.contributor.author.fl_str_mv Pinheiro, Larissa Correia de Melo
God, Pedro Ivo Vieira Good
Faria, Vinícius Ribeiro
Oliveira, Ane Gabrielle
Hasui, Aline Akemi
Pinto, Eduardo Henrique Guimarães
Arruda, Klever Márcio Antunes
Piovesan, Newton Deniz
Moreira, Maurilio Alves
dc.subject.por.fl_str_mv Glycine max; BLUP/REML; selection gain; relationship matrix
Glycine max; BLUP/REML; ganhos de seleção; matriz de parentesco
topic Glycine max; BLUP/REML; selection gain; relationship matrix
Glycine max; BLUP/REML; ganhos de seleção; matriz de parentesco
description The objective of this work was to evaluate the influence of relationship information for selecting soybean progenies as to their productivity, and oil and protein contents, using mixed models for the prediction of breeding values. Nine hundred F4:6 and 200 F4:7 soybean progenies were evaluated in the seasons 2010/2011 and 2011/2012, respectively. The progenies were obtained from multiple crosses from 57 parents. Data were analyzed using random models (least squares) and mixed models BLUP/REML (best linear unbiased prediction/restricted maximum likelihood). The highest values of predicted gains were obtained by BLUP/REML. The breeding values predicted with the use of BLUP/REML without relationship information were highly correlated with the ones obtained with the random model, and the selected progenies were rather coincident. The inclusion of the relationship matrix resulted in the selection of different progenies and in higher accuracy of breeding values.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-02
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/14921
url https://seer.sct.embrapa.br/index.php/pab/article/view/14921
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/14921/12421
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14921/9889
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14921/9898
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.48, n.9, set. 2013; 1246-1253
Pesquisa Agropecuária Brasileira; v.48, n.9, set. 2013; 1246-1253
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
_version_ 1793416680978776064

Registros relacionados