Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Zaffaroni, Eduardo
Data de Publicação: 1998
Outros Autores: Terres, Arlei Laerte, Bevilaqua, Gilberto Antonio Peripolio, Robaina, Antonio Dias, Lima, Divania de, Filho, Pedro Moreira da Silva, Lopes, Roberta
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/4814
Resumo: The purpose of this study was to evaluate the yield of rice genotypes and verify the yield component influence through path coefficient analysis. Nine rice genotypes were cultivated in experimental field in the 1993/94 growing season. The genotypes EMBRAPA 39-AGRISUL, TF296-1-8, CL Seleção 447B-B, CL99-40-2, CL78-84-1M-26M-M, TF231-13-1M-5-B, EMBRAPA 6-CHUÍ, EMBRAPA 7-TAIM and IRGA 410 were studied in this work. The following parameters were analyzed: plant number/ha, panicle number/plant, grain number/panicle and grain weight and crop yield. The genotypes that showed superior behavior were CL78-84-1M-26M-M, IRGA 410 and EMBRAPA 6-CHUÍ. Number of grain per panicle and thousand grain weight were the yield components which had highest effect on yield.
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spelling Path analysis on the yield components of genotypes of rice in the state of Rio Grande do SulAnálise de caminho nos componentes do rendimento de genótipos de arroz no Rio Grande do SulOryza sativaOryza sativaThe purpose of this study was to evaluate the yield of rice genotypes and verify the yield component influence through path coefficient analysis. Nine rice genotypes were cultivated in experimental field in the 1993/94 growing season. The genotypes EMBRAPA 39-AGRISUL, TF296-1-8, CL Seleção 447B-B, CL99-40-2, CL78-84-1M-26M-M, TF231-13-1M-5-B, EMBRAPA 6-CHUÍ, EMBRAPA 7-TAIM and IRGA 410 were studied in this work. The following parameters were analyzed: plant number/ha, panicle number/plant, grain number/panicle and grain weight and crop yield. The genotypes that showed superior behavior were CL78-84-1M-26M-M, IRGA 410 and EMBRAPA 6-CHUÍ. Number of grain per panicle and thousand grain weight were the yield components which had highest effect on yield.Com o objetivo de avaliar o rendimento de cultivares e linhagens de arroz e verificar a influência dos componentes do rendimento na produção, nove genótipos de arroz foram cultivados em 1993/94. Foram estudados os genótipos: EMBRAPA 39-AGRISUL, TF296-1-8, CL Seleção 447B-B, CL99-40-2, CL78-84-1M-26M-M, TF231-13-1M-5-B, EMBRAPA 6-CHUÍ, EMBRAPA 7-TAIM e IRGA 410. As variáveis número de plantas por hectare, número de panículas por planta, número de grãos por panícula e peso de mil grãos constituíram os componentes de rendimento, que, após analisados, permitiram estimar o rendimento físico da lavoura. Os genótipos que apresentaram maior produtividade foram CL78-84-1M-26M-M, IRGA 410 e EMBRAPA 6-CHUÍ. Os componentes de rendimento que mais afetaram a produção foram o número de grãos/panícula e o peso de mil grãos.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraZaffaroni, EduardoTerres, Arlei LaerteBevilaqua, Gilberto Antonio PeripolioRobaina, Antonio DiasLima, Divania deFilho, Pedro Moreira da SilvaLopes, Roberta1998-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/4814Pesquisa Agropecuaria Brasileira; v.33, n.1, jan. 1998; 43-48Pesquisa Agropecuária Brasileira; v.33, n.1, jan. 1998; 43-481678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/4814/6930info:eu-repo/semantics/openAccess2014-11-10T16:08:06Zoai:ojs.seer.sct.embrapa.br:article/4814Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-11-10T16:08:06Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
Análise de caminho nos componentes do rendimento de genótipos de arroz no Rio Grande do Sul
title Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
spellingShingle Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
Zaffaroni, Eduardo
Oryza sativa
Oryza sativa
title_short Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
title_full Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
title_fullStr Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
title_full_unstemmed Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
title_sort Path analysis on the yield components of genotypes of rice in the state of Rio Grande do Sul
author Zaffaroni, Eduardo
author_facet Zaffaroni, Eduardo
Terres, Arlei Laerte
Bevilaqua, Gilberto Antonio Peripolio
Robaina, Antonio Dias
Lima, Divania de
Filho, Pedro Moreira da Silva
Lopes, Roberta
author_role author
author2 Terres, Arlei Laerte
Bevilaqua, Gilberto Antonio Peripolio
Robaina, Antonio Dias
Lima, Divania de
Filho, Pedro Moreira da Silva
Lopes, Roberta
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Zaffaroni, Eduardo
Terres, Arlei Laerte
Bevilaqua, Gilberto Antonio Peripolio
Robaina, Antonio Dias
Lima, Divania de
Filho, Pedro Moreira da Silva
Lopes, Roberta
dc.subject.por.fl_str_mv Oryza sativa
Oryza sativa
topic Oryza sativa
Oryza sativa
description The purpose of this study was to evaluate the yield of rice genotypes and verify the yield component influence through path coefficient analysis. Nine rice genotypes were cultivated in experimental field in the 1993/94 growing season. The genotypes EMBRAPA 39-AGRISUL, TF296-1-8, CL Seleção 447B-B, CL99-40-2, CL78-84-1M-26M-M, TF231-13-1M-5-B, EMBRAPA 6-CHUÍ, EMBRAPA 7-TAIM and IRGA 410 were studied in this work. The following parameters were analyzed: plant number/ha, panicle number/plant, grain number/panicle and grain weight and crop yield. The genotypes that showed superior behavior were CL78-84-1M-26M-M, IRGA 410 and EMBRAPA 6-CHUÍ. Number of grain per panicle and thousand grain weight were the yield components which had highest effect on yield.
publishDate 1998
dc.date.none.fl_str_mv 1998-01-01
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/4814
url https://seer.sct.embrapa.br/index.php/pab/article/view/4814
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/4814/6930
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.33, n.1, jan. 1998; 43-48
Pesquisa Agropecuária Brasileira; v.33, n.1, jan. 1998; 43-48
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_ 1793416683841388544

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