Selection methods and heterogenous population effects in genetic oat breeding

Detalhes bibliográficos
Autor(a) principal: Viau, Luiz Volney Mattos
Data de Publicação: 2014
Outros Autores: Carvalho, Fernando I. F. de
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/14095
Resumo: The effects of selection methods and genetic variability were studied through the genetic grain yield potential and other important agronomic traits in oat populations. The experiments were carried out in the 1984 and 1985 seasons at the Experimental Station of the Federal University of Rio Grande do Sul (EEA/UFRGS) at Guaíba, RS, Brazil. Among selection methods, the pedigree (P2) and mixture (M1 2) were the most efficient identifier of superior grain yield genotypes, when compared to populational and massal methods. Analysis of other traits like number of panicle/m2, grains/panicle, grain weight, plant stature, resistance to lodging, heading-time and harvest index helped to identify the populations with best performance. Finally, differences among selection methods only were observed when the genetic variability was high and also it was the most important aspect for identifying superior genotypes on the basis of quantitative traits. 
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spelling Selection methods and heterogenous population effects in genetic oat breedingMétodos de seleção e efeitos de populações heterogêneas no melhoramento genético de aveiaAvena sativa; geneticsAvena sativa; genéticaThe effects of selection methods and genetic variability were studied through the genetic grain yield potential and other important agronomic traits in oat populations. The experiments were carried out in the 1984 and 1985 seasons at the Experimental Station of the Federal University of Rio Grande do Sul (EEA/UFRGS) at Guaíba, RS, Brazil. Among selection methods, the pedigree (P2) and mixture (M1 2) were the most efficient identifier of superior grain yield genotypes, when compared to populational and massal methods. Analysis of other traits like number of panicle/m2, grains/panicle, grain weight, plant stature, resistance to lodging, heading-time and harvest index helped to identify the populations with best performance. Finally, differences among selection methods only were observed when the genetic variability was high and also it was the most important aspect for identifying superior genotypes on the basis of quantitative traits. Os efeitos de métodos de seleção e de variabilidade genética em populações de aveia, foram examinados através do potencial genético de rendimento de grãos e caracteres de importância agronômica, durante 1984 e 1985 na Estação Experimental Agronômica, Universidade Federal do Rio Grande do Sul (EEA/UFRGS), Guaíba, RS. Os mecanismos genealógicos pedigree (P2) e mistura (M1 2) foram os sistemas mais eficientes entre os métodos de seleção para identificar genótipos superiores em rendimento de grãos. A análise de outros caracteres, tais como número de panículas/m2, grãos/ panícula, peso do grão, peso do hectolitro, estatura, acamamento, período de florescimento e índice de colheita ajudou a identificar as populações capazes de melhor desempenho. A existência e identificação de variabilidade genética demonstraram ser fundamentais na eficiência dos métodos de seleção e na identificação de genótipos superiores com base em caracteres quantitativos. Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraViau, Luiz Volney MattosCarvalho, Fernando I. F. de2014-04-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/14095Pesquisa Agropecuaria Brasileira; v.23, n.11, nov. 1988; 1279-1290Pesquisa Agropecuária Brasileira; v.23, n.11, nov. 1988; 1279-12901678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/14095/8061info:eu-repo/semantics/openAccess2014-09-18T19:34:44Zoai:ojs.seer.sct.embrapa.br:article/14095Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-18T19:34:44Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Selection methods and heterogenous population effects in genetic oat breeding
Métodos de seleção e efeitos de populações heterogêneas no melhoramento genético de aveia
title Selection methods and heterogenous population effects in genetic oat breeding
spellingShingle Selection methods and heterogenous population effects in genetic oat breeding
Viau, Luiz Volney Mattos
Avena sativa; genetics
Avena sativa; genética
title_short Selection methods and heterogenous population effects in genetic oat breeding
title_full Selection methods and heterogenous population effects in genetic oat breeding
title_fullStr Selection methods and heterogenous population effects in genetic oat breeding
title_full_unstemmed Selection methods and heterogenous population effects in genetic oat breeding
title_sort Selection methods and heterogenous population effects in genetic oat breeding
author Viau, Luiz Volney Mattos
author_facet Viau, Luiz Volney Mattos
Carvalho, Fernando I. F. de
author_role author
author2 Carvalho, Fernando I. F. de
author2_role author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Viau, Luiz Volney Mattos
Carvalho, Fernando I. F. de
dc.subject.por.fl_str_mv Avena sativa; genetics
Avena sativa; genética
topic Avena sativa; genetics
Avena sativa; genética
description The effects of selection methods and genetic variability were studied through the genetic grain yield potential and other important agronomic traits in oat populations. The experiments were carried out in the 1984 and 1985 seasons at the Experimental Station of the Federal University of Rio Grande do Sul (EEA/UFRGS) at Guaíba, RS, Brazil. Among selection methods, the pedigree (P2) and mixture (M1 2) were the most efficient identifier of superior grain yield genotypes, when compared to populational and massal methods. Analysis of other traits like number of panicle/m2, grains/panicle, grain weight, plant stature, resistance to lodging, heading-time and harvest index helped to identify the populations with best performance. Finally, differences among selection methods only were observed when the genetic variability was high and also it was the most important aspect for identifying superior genotypes on the basis of quantitative traits. 
publishDate 2014
dc.date.none.fl_str_mv 2014-04-17
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/14095
url https://seer.sct.embrapa.br/index.php/pab/article/view/14095
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/14095/8061
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.23, n.11, nov. 1988; 1279-1290
Pesquisa Agropecuária Brasileira; v.23, n.11, nov. 1988; 1279-1290
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
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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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