Genetical and environmental analyses of yield in six biparental soybean crosses

Detalhes bibliográficos
Autor(a) principal: Toledo, José Francisco Ferraz de
Data de Publicação: 2000
Outros Autores: Arias, Carlos Alberto Arrabal, Oliveira, Marcelo Fernandes de, Triller, Cláudia, Miranda, Zilda de Fátima Sgobero
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/5960
Resumo: The yearly genetic progress obtained by breeding for increased soybean yield has been considered acceptable worldwide. It is common sense, however, that this progress can be improved further if refined breeding techniques, developed from the knowledge of the genetic mechanisms controlling soybean yield, are used. In this paper, data from four cultivars and/or lines and their derived sets of F2, F3, F7, F8, F9 and F10 generations assayed in 17 environments were analyzed to allow an insight of the genetic control of soybean yield under different environmental conditions. The general picture was of a complex polygene system controlling yield in soybeans. Additive genetic effects predominated although dominance was often found to be significant. Complications such as epistasis, linkage and macro and micro genotype x environment (G x E) interactions were also commonly detected. The overall heritability was 0.29. The relative magnitude of the additive effects and the complicating factors allowed the inference that the latter are not a serious problem to the breeder. The low heritability values and the considerable magnitude of G x E interactions for yield, however, indicated that careful evaluation through experiments designed to allow for the presence of these effects is necessary for successful selection.
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spelling Genetical and environmental analyses of yield in six biparental soybean crossesAnálise genética e ambiental da produtividade da soja em seis cruzamentos biparentaisGlycine max; genetic control; selection; polygenes; genotype environment interaction; breeding methodsGlicyne max; controle genético; seleção; poligenes; interação genótipo-ambiente; métodos de melhoramentoThe yearly genetic progress obtained by breeding for increased soybean yield has been considered acceptable worldwide. It is common sense, however, that this progress can be improved further if refined breeding techniques, developed from the knowledge of the genetic mechanisms controlling soybean yield, are used. In this paper, data from four cultivars and/or lines and their derived sets of F2, F3, F7, F8, F9 and F10 generations assayed in 17 environments were analyzed to allow an insight of the genetic control of soybean yield under different environmental conditions. The general picture was of a complex polygene system controlling yield in soybeans. Additive genetic effects predominated although dominance was often found to be significant. Complications such as epistasis, linkage and macro and micro genotype x environment (G x E) interactions were also commonly detected. The overall heritability was 0.29. The relative magnitude of the additive effects and the complicating factors allowed the inference that the latter are not a serious problem to the breeder. The low heritability values and the considerable magnitude of G x E interactions for yield, however, indicated that careful evaluation through experiments designed to allow for the presence of these effects is necessary for successful selection.O progresso genético obtido para produtividade em soja é mundialmente considerado razoável. Entretanto, acredita-se que esse progresso possa ser significativamente aumentado se forem usadas técnicas refinadas de melhoramento, desenvolvidas a partir do melhor conhecimento do controle genético e do ambiente sobre a produtividade. Foram analisados, neste trabalho, os dados referentes a quatro linhagens ou cultivares e as populações descendentes F2, F3, F7, F8, F9 e F10, obtidos em ensaios realizados em 17 ambientes, para permitir uma avaliação dos efeitos genéticos controladores da produtividade na soja. Os efeitos genéticos aditivos predominaram, e foram detectados níveis significativos de dominância, em várias oportunidades. Também foram freqüentemente detectados efeitos genéticos, como: epistasia, ligação gênica e interações entre genótipo e ambiente. A herdabilidade no sentido restrito foi de 0,29. As análises mostraram que, em geral, o controle genético da produtividade da soja é realizado por poligenes com efeitos aditivos. A magnitude dos fatores complicadores comparativamente à dos efeitos aditivos permite prever que eles não representarão problema num programa de melhoramento. Entretanto, a baixa herdabilidade do carácter e os consideráveis níveis de interação entre genótipo e ambiente exigem que a avaliação da produtividade seja criteriosamente realizada para haver progresso genético por seleção.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraToledo, José Francisco Ferraz deArias, Carlos Alberto ArrabalOliveira, Marcelo Fernandes deTriller, CláudiaMiranda, Zilda de Fátima Sgobero2000-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/5960Pesquisa Agropecuaria Brasileira; v.35, n.9, set. 2000; 1783-1796Pesquisa Agropecuária Brasileira; v.35, n.9, set. 2000; 1783-17961678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/5960/3064info:eu-repo/semantics/openAccess2014-08-19T19:30:34Zoai:ojs.seer.sct.embrapa.br:article/5960Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-08-19T19:30:34Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genetical and environmental analyses of yield in six biparental soybean crosses
Análise genética e ambiental da produtividade da soja em seis cruzamentos biparentais
title Genetical and environmental analyses of yield in six biparental soybean crosses
spellingShingle Genetical and environmental analyses of yield in six biparental soybean crosses
Toledo, José Francisco Ferraz de
Glycine max; genetic control; selection; polygenes; genotype environment interaction; breeding methods
Glicyne max; controle genético; seleção; poligenes; interação genótipo-ambiente; métodos de melhoramento
title_short Genetical and environmental analyses of yield in six biparental soybean crosses
title_full Genetical and environmental analyses of yield in six biparental soybean crosses
title_fullStr Genetical and environmental analyses of yield in six biparental soybean crosses
title_full_unstemmed Genetical and environmental analyses of yield in six biparental soybean crosses
title_sort Genetical and environmental analyses of yield in six biparental soybean crosses
author Toledo, José Francisco Ferraz de
author_facet Toledo, José Francisco Ferraz de
Arias, Carlos Alberto Arrabal
Oliveira, Marcelo Fernandes de
Triller, Cláudia
Miranda, Zilda de Fátima Sgobero
author_role author
author2 Arias, Carlos Alberto Arrabal
Oliveira, Marcelo Fernandes de
Triller, Cláudia
Miranda, Zilda de Fátima Sgobero
author2_role author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Toledo, José Francisco Ferraz de
Arias, Carlos Alberto Arrabal
Oliveira, Marcelo Fernandes de
Triller, Cláudia
Miranda, Zilda de Fátima Sgobero
dc.subject.por.fl_str_mv Glycine max; genetic control; selection; polygenes; genotype environment interaction; breeding methods
Glicyne max; controle genético; seleção; poligenes; interação genótipo-ambiente; métodos de melhoramento
topic Glycine max; genetic control; selection; polygenes; genotype environment interaction; breeding methods
Glicyne max; controle genético; seleção; poligenes; interação genótipo-ambiente; métodos de melhoramento
description The yearly genetic progress obtained by breeding for increased soybean yield has been considered acceptable worldwide. It is common sense, however, that this progress can be improved further if refined breeding techniques, developed from the knowledge of the genetic mechanisms controlling soybean yield, are used. In this paper, data from four cultivars and/or lines and their derived sets of F2, F3, F7, F8, F9 and F10 generations assayed in 17 environments were analyzed to allow an insight of the genetic control of soybean yield under different environmental conditions. The general picture was of a complex polygene system controlling yield in soybeans. Additive genetic effects predominated although dominance was often found to be significant. Complications such as epistasis, linkage and macro and micro genotype x environment (G x E) interactions were also commonly detected. The overall heritability was 0.29. The relative magnitude of the additive effects and the complicating factors allowed the inference that the latter are not a serious problem to the breeder. The low heritability values and the considerable magnitude of G x E interactions for yield, however, indicated that careful evaluation through experiments designed to allow for the presence of these effects is necessary for successful selection.
publishDate 2000
dc.date.none.fl_str_mv 2000-09-01
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/5960
url https://seer.sct.embrapa.br/index.php/pab/article/view/5960
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/5960/3064
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.35, n.9, set. 2000; 1783-1796
Pesquisa Agropecuária Brasileira; v.35, n.9, set. 2000; 1783-1796
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)
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