Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/36993 |
Resumo: | The purpose of this study was to estimate the phenotypic correlations between 14 traits obtained in 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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Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance Correlação fenotípica e análise de trilha em cultivares e linhagens de arroz de sequeiro para tolerância à secaupland ricecharactersrootsdrought toleranceAgricultural SciencesThe purpose of this study was to estimate the phenotypic correlations between 14 traits obtained in 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.O objetivo desse trabalho foi estimar as correlações fenotípicas entre 14 características obtidas em uma coleção nuclear temática de arroz de terras altas para tolerância à seca e desdobrá-las em seus efeitos diretos e indiretos por meio da análise de trilha. Foram conduzidos dois experimentos (com e sem estresse hídrico). Avaliou-se 100 materiais no delineamento experimental em látice triplo 10x10. A parcela foi formada por quatro linhas de 3,0 metros de comprimento espaçadas de 0,35 metros. A área útil da parcela foi constituída pelas duas linhas centrais de 2,0 metros decomprimento, perfazendo 1,4 m2 de onde foram coletados dados de 14 características sendo, cinco do sistema radicular e nove da parte aérea da planta. Das características avaliadas, esterilidade das espiguetas foi a principal determinante da produtividade de grãos apresentando correlação negativa de elevada magnitude de -0,78 e -0,59 nos ambientes com e sem estresse de seca, respectivamente. No desdobramento das correlações esterilidade das espiguetas apresentou efeitos diretos negativos na produtividade de grãos nos ambientes com (-0,60) e sem (-0,62) estresse hídrico, corroborando as correlações negativas entre estas características. Os dados obtidos enfatizaram que a esterilidade das espiguetas é uma variável importante para a seleção de linhagens de arroz submetidas à deficiência de água. Os coeficientes de determinações parciais indicaram que apenas 70,33% no ambiente com estresse e 50,30% no ambiente sem estresse da variação da produtividade de grãos foram explicados, fenotipicamente, pelas variáveis consideradas na análise de trilha evidenciando a complexidade da seleção para tolerância à seca em arroz.EDUFU2017-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3699310.14393/BJ-v33n6a2017-36993Bioscience Journal ; Vol. 33 No. 6 (2017): Nov./Dec.; 1474-1484Bioscience Journal ; v. 33 n. 6 (2017): Nov./Dec.; 1474-14841981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/36993/21158Brazil; ContemporaryCopyright (c) 2017 Thiago Gledson Rios Terra, Tarcísio Castro Alves de Barros Leal, Paulo Hideo Nakano Rangel, Aluízio Borémhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTerra, Thiago Gledson RiosLeal, Tarcísio Castro Alves de BarrosRangel, Paulo Hideo NakanoBorém, Aluízio2022-02-11T20:26:41Zoai:ojs.www.seer.ufu.br:article/36993Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-11T20:26:41Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Phenotypic correlation and path analysis in cultivars and strains of upland rice for drought tolerance Correlação fenotípica e análise de trilha em cultivares e linhagens de arroz de sequeiro para tolerância à seca |
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, Thiago Gledson Rios upland rice characters roots drought tolerance Agricultural Sciences |
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, Thiago Gledson Rios |
author_facet |
Terra, Thiago Gledson Rios Leal, Tarcísio Castro Alves de Barros Rangel, Paulo Hideo Nakano Borém, Aluízio |
author_role |
author |
author2 |
Leal, Tarcísio Castro Alves de Barros Rangel, Paulo Hideo Nakano Borém, Aluízio |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Terra, Thiago Gledson Rios Leal, Tarcísio Castro Alves de Barros Rangel, Paulo Hideo Nakano Borém, Aluízio |
dc.subject.por.fl_str_mv |
upland rice characters roots drought tolerance Agricultural Sciences |
topic |
upland rice characters roots drought tolerance Agricultural Sciences |
description |
The purpose of this study was to estimate the phenotypic correlations between 14 traits obtained in 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 |
2017-11-09 |
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.ufu.br/index.php/biosciencejournal/article/view/36993 10.14393/BJ-v33n6a2017-36993 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/36993 |
identifier_str_mv |
10.14393/BJ-v33n6a2017-36993 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/36993/21158 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 33 No. 6 (2017): Nov./Dec.; 1474-1484 Bioscience Journal ; v. 33 n. 6 (2017): Nov./Dec.; 1474-1484 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069077714305024 |