Genetic gain by different selection criteria in soybean segregant populations

Detalhes bibliográficos
Autor(a) principal: Costa, Marcelo Marchi
Data de Publicação: 2004
Outros Autores: Mauro, Antonio Orlando Di, Unêda-Trevisoli, Sandra Helena, Arriel, Nair Helena Castro, Bárbaro, Ivana Marino, Muniz, Franco Romero Silva
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/6882
Resumo: In breeding programs, the complexity of economically outstanding characters, most of which highly influenced by the environment, makes selection difficult. Using genetic parameters, like heritability and gain with selection, it is possible to identify superior genotypes in early generations. Therefore, the aim of the present research was to compare different selection criteria by the estimated gains and the selected progenies, determining the superior and more similar methods. Augmented block design was used with three additional checks. Twelve hundred genotypes were evaluated. The most expressive expected gains were obtained with direct selection. However, the indices have shown to be more appropriate for selecting superior progenies because of their higher total gains, distributed among all the evaluated characters. The Sum of Ranks Index allowed the highest gains in most of the situations analysed.
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spelling Genetic gain by different selection criteria in soybean segregant populationsGanho genético por diferentes critérios de seleção em populações segregantes de sojaGlycine max; selection indices; agronomic traits; genetic progressGlycine max; índices de seleção; caracteres agronômicos; progresso genéticoIn breeding programs, the complexity of economically outstanding characters, most of which highly influenced by the environment, makes selection difficult. Using genetic parameters, like heritability and gain with selection, it is possible to identify superior genotypes in early generations. Therefore, the aim of the present research was to compare different selection criteria by the estimated gains and the selected progenies, determining the superior and more similar methods. Augmented block design was used with three additional checks. Twelve hundred genotypes were evaluated. The most expressive expected gains were obtained with direct selection. However, the indices have shown to be more appropriate for selecting superior progenies because of their higher total gains, distributed among all the evaluated characters. The Sum of Ranks Index allowed the highest gains in most of the situations analysed.Nos programas de melhoramento, o processo seletivo é dificultado pela complexidade dos caracteres de expressividade econômica, em sua maioria altamente influenciados pelo ambiente. Com o auxílio de parâmetros genéticos, como a herdabilidade e o ganho com a seleção, pode-se identificar genótipos superiores em gerações precoces. O objetivo deste trabalho foi comparar diferentes critérios de seleção por meio de ganhos estimados e das progênies selecionadas, determinando os métodos superiores e os mais similares. O delineamento utilizado foi o de blocos aumentados, em que foram avaliados 1.200 genótipos, com três testemunhas intercalares. As maiores estimativas de ganhos foram obtidas pela seleção direta, porém, os índices apresentaram-se mais adequados para a seleção dos genótipos superiores por registrarem maiores ganhos totais, distribuídos entre todos os caracteres avaliados. O índice baseado em soma de "ranks" permitiu os maiores ganhos na maioria das situações analisadas.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCosta, Marcelo MarchiMauro, Antonio Orlando DiUnêda-Trevisoli, Sandra HelenaArriel, Nair Helena CastroBárbaro, Ivana MarinoMuniz, Franco Romero Silva2004-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/6882Pesquisa Agropecuaria Brasileira; v.39, n.11, nov. 2004; 1095-1102Pesquisa Agropecuária Brasileira; v.39, n.11, nov. 2004; 1095-11021678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/6882/3938info:eu-repo/semantics/openAccess2014-09-03T16:47:01Zoai:ojs.seer.sct.embrapa.br:article/6882Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-03T16:47:01Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genetic gain by different selection criteria in soybean segregant populations
Ganho genético por diferentes critérios de seleção em populações segregantes de soja
title Genetic gain by different selection criteria in soybean segregant populations
spellingShingle Genetic gain by different selection criteria in soybean segregant populations
Costa, Marcelo Marchi
Glycine max; selection indices; agronomic traits; genetic progress
Glycine max; índices de seleção; caracteres agronômicos; progresso genético
title_short Genetic gain by different selection criteria in soybean segregant populations
title_full Genetic gain by different selection criteria in soybean segregant populations
title_fullStr Genetic gain by different selection criteria in soybean segregant populations
title_full_unstemmed Genetic gain by different selection criteria in soybean segregant populations
title_sort Genetic gain by different selection criteria in soybean segregant populations
author Costa, Marcelo Marchi
author_facet Costa, Marcelo Marchi
Mauro, Antonio Orlando Di
Unêda-Trevisoli, Sandra Helena
Arriel, Nair Helena Castro
Bárbaro, Ivana Marino
Muniz, Franco Romero Silva
author_role author
author2 Mauro, Antonio Orlando Di
Unêda-Trevisoli, Sandra Helena
Arriel, Nair Helena Castro
Bárbaro, Ivana Marino
Muniz, Franco Romero Silva
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Costa, Marcelo Marchi
Mauro, Antonio Orlando Di
Unêda-Trevisoli, Sandra Helena
Arriel, Nair Helena Castro
Bárbaro, Ivana Marino
Muniz, Franco Romero Silva
dc.subject.por.fl_str_mv Glycine max; selection indices; agronomic traits; genetic progress
Glycine max; índices de seleção; caracteres agronômicos; progresso genético
topic Glycine max; selection indices; agronomic traits; genetic progress
Glycine max; índices de seleção; caracteres agronômicos; progresso genético
description In breeding programs, the complexity of economically outstanding characters, most of which highly influenced by the environment, makes selection difficult. Using genetic parameters, like heritability and gain with selection, it is possible to identify superior genotypes in early generations. Therefore, the aim of the present research was to compare different selection criteria by the estimated gains and the selected progenies, determining the superior and more similar methods. Augmented block design was used with three additional checks. Twelve hundred genotypes were evaluated. The most expressive expected gains were obtained with direct selection. However, the indices have shown to be more appropriate for selecting superior progenies because of their higher total gains, distributed among all the evaluated characters. The Sum of Ranks Index allowed the highest gains in most of the situations analysed.
publishDate 2004
dc.date.none.fl_str_mv 2004-11-01
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/6882
url https://seer.sct.embrapa.br/index.php/pab/article/view/6882
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/6882/3938
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.39, n.11, nov. 2004; 1095-1102
Pesquisa Agropecuária Brasileira; v.39, n.11, nov. 2004; 1095-1102
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
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