Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.

Detalhes bibliográficos
Autor(a) principal: TERRA, T. G. R.
Data de Publicação: 2017
Outros Autores: LEAL, T. C. A. de B., RANGEL, P. H. N., BORÉM, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086481
Resumo: The purpose of this study was to estimate the phenotypic correlations between 14 traits obtainedin a thematic core collection of upland rice for drought tolerance and partition them into direct and indirect effects by path analysis. Two experiments were carried out (with and without water stress). One hundred samples were evaluated in a triple 10x10 lattice design. The plot was formed by four rows, 3.0 metres long, spaced at 0.35 m. The plot useful area was constituted by two central rows of 2.0 m in length, totalling 1.4 m2, where data from 14 traits were collected, five from the root system and nine from the aerial part of the plant. Of the evaluated traits, spikelet sterility was the main grain yield determinant, presenting relevant negative correlations of -0.77 and -0.59 in environments with and without drought stress, respectively. The partitioning of spikelet sterility correlations presented negative direct effects on grain yield in environments with (-0.60) and without (-0.62) water stress, corroborating the negative correlations between these traits. The obtained data confirmed that spikelet sterility is an important variable for the selection of rice strain submitted to water deficit. Partial correlation coefficients indicated that only 70.33% in the environment with stress and 50.30% in the environment without stress of grain yield variation were phenotypically explained by variables considered in path analysis, thereby showing the complexity of the selection for drought-tolerant rice.
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spelling Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.ArrozOryza sativaMelhoramento genético vegetalResistência a secaRiceDrought toleranceRootsThe purpose of this study was to estimate the phenotypic correlations between 14 traits obtainedin a thematic core collection of upland rice for drought tolerance and partition them into direct and indirect effects by path analysis. Two experiments were carried out (with and without water stress). One hundred samples were evaluated in a triple 10x10 lattice design. The plot was formed by four rows, 3.0 metres long, spaced at 0.35 m. The plot useful area was constituted by two central rows of 2.0 m in length, totalling 1.4 m2, where data from 14 traits were collected, five from the root system and nine from the aerial part of the plant. Of the evaluated traits, spikelet sterility was the main grain yield determinant, presenting relevant negative correlations of -0.77 and -0.59 in environments with and without drought stress, respectively. The partitioning of spikelet sterility correlations presented negative direct effects on grain yield in environments with (-0.60) and without (-0.62) water stress, corroborating the negative correlations between these traits. The obtained data confirmed that spikelet sterility is an important variable for the selection of rice strain submitted to water deficit. Partial correlation coefficients indicated that only 70.33% in the environment with stress and 50.30% in the environment without stress of grain yield variation were phenotypically explained by variables considered in path analysis, thereby showing the complexity of the selection for drought-tolerant rice.THIAGO GLEDSON RIOS TERRA, UNIVERSIDADE FEDERAL DO TOCANTINS; TARCISIO CASTRO ALVES DE BARROS LEAL, UNIVERSIDADE FEDERAL DO TOCANTINS; PAULO HIDEO NAKANO RANGEL, CNPAF; ALUÍZIO BOREM, UNIVERSIDADE FEDERAL DE VIÇOSA.TERRA, T. G. R.LEAL, T. C. A. de B.RANGEL, P. H. N.BORÉM, A.2018-01-26T23:49:54Z2018-01-26T23:49:54Z2018-01-2620172018-01-26T23:49:54Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBioscience Journal, Uberlândia, v. 33, n. 6, p. 1474-1484, Nov./Dec. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086481enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-01-26T23:50:01Zoai:www.alice.cnptia.embrapa.br:doc/1086481Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-01-26T23:50:01falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-01-26T23:50:01Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
title Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
spellingShingle Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
TERRA, T. G. R.
Arroz
Oryza sativa
Melhoramento genético vegetal
Resistência a seca
Rice
Drought tolerance
Roots
title_short Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
title_full Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
title_fullStr Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
title_full_unstemmed Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
title_sort Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance.
author TERRA, T. G. R.
author_facet TERRA, T. G. R.
LEAL, T. C. A. de B.
RANGEL, P. H. N.
BORÉM, A.
author_role author
author2 LEAL, T. C. A. de B.
RANGEL, P. H. N.
BORÉM, A.
author2_role author
author
author
dc.contributor.none.fl_str_mv THIAGO GLEDSON RIOS TERRA, UNIVERSIDADE FEDERAL DO TOCANTINS; TARCISIO CASTRO ALVES DE BARROS LEAL, UNIVERSIDADE FEDERAL DO TOCANTINS; PAULO HIDEO NAKANO RANGEL, CNPAF; ALUÍZIO BOREM, UNIVERSIDADE FEDERAL DE VIÇOSA.
dc.contributor.author.fl_str_mv TERRA, T. G. R.
LEAL, T. C. A. de B.
RANGEL, P. H. N.
BORÉM, A.
dc.subject.por.fl_str_mv Arroz
Oryza sativa
Melhoramento genético vegetal
Resistência a seca
Rice
Drought tolerance
Roots
topic Arroz
Oryza sativa
Melhoramento genético vegetal
Resistência a seca
Rice
Drought tolerance
Roots
description The purpose of this study was to estimate the phenotypic correlations between 14 traits obtainedin a thematic core collection of upland rice for drought tolerance and partition them into direct and indirect effects by path analysis. Two experiments were carried out (with and without water stress). One hundred samples were evaluated in a triple 10x10 lattice design. The plot was formed by four rows, 3.0 metres long, spaced at 0.35 m. The plot useful area was constituted by two central rows of 2.0 m in length, totalling 1.4 m2, where data from 14 traits were collected, five from the root system and nine from the aerial part of the plant. Of the evaluated traits, spikelet sterility was the main grain yield determinant, presenting relevant negative correlations of -0.77 and -0.59 in environments with and without drought stress, respectively. The partitioning of spikelet sterility correlations presented negative direct effects on grain yield in environments with (-0.60) and without (-0.62) water stress, corroborating the negative correlations between these traits. The obtained data confirmed that spikelet sterility is an important variable for the selection of rice strain submitted to water deficit. Partial correlation coefficients indicated that only 70.33% in the environment with stress and 50.30% in the environment without stress of grain yield variation were phenotypically explained by variables considered in path analysis, thereby showing the complexity of the selection for drought-tolerant rice.
publishDate 2017
dc.date.none.fl_str_mv 2017
2018-01-26T23:49:54Z
2018-01-26T23:49:54Z
2018-01-26
2018-01-26T23:49:54Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Bioscience Journal, Uberlândia, v. 33, n. 6, p. 1474-1484, Nov./Dec. 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086481
identifier_str_mv Bioscience Journal, Uberlândia, v. 33, n. 6, p. 1474-1484, Nov./Dec. 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086481
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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