Genetic divergence among maize hybrids by morphological descriptors

Detalhes bibliográficos
Autor(a) principal: Rigon, João Paulo Gonsiorkiewicz [UNESP]
Data de Publicação: 2015
Outros Autores: Capuani, Silvia [UNESP], Rigon, Carlos Alberto Gonsiorkiewicz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000200156&lng=en&nrm=iso&tlng=en
http://hdl.handle.net/11449/127476
Resumo: Two experiments with 25 maize commercial hybrids were carried out in a direct sowing system in Southern Brazil in the harvests of 2009/2010 and 2010/2011. Quantitative descriptors were used with the objective of determining the genetic divergence and the relative contributions of traits among hybrids for extraction of inbred lines. This study was carried out in Oxisol soil using a randomized block design with four replicates. Data were subjected to combined analysis of variance, and based on the multivariate analyses, Tocher and average linkage (UPGMA) cluster analyses, based on generalized distance of Mahalanobis, to quantify divergence in addition to Singh criterion to validate trait with the most contribution. The multivariate methods were consistent with each other, and the weight of 100 grains was the trait that contributed most to the divergence and had similar behavior in grain yield between hybrids in both years. Furthermore, this descriptor representing significant genetic variability for crossings and lines extraction to hybridization between BM 3061, ATL 200 and P 30B39 Y.
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spelling Genetic divergence among maize hybrids by morphological descriptorsDivergence quantitative descriptorsMultivariate analysesZea maysTwo experiments with 25 maize commercial hybrids were carried out in a direct sowing system in Southern Brazil in the harvests of 2009/2010 and 2010/2011. Quantitative descriptors were used with the objective of determining the genetic divergence and the relative contributions of traits among hybrids for extraction of inbred lines. This study was carried out in Oxisol soil using a randomized block design with four replicates. Data were subjected to combined analysis of variance, and based on the multivariate analyses, Tocher and average linkage (UPGMA) cluster analyses, based on generalized distance of Mahalanobis, to quantify divergence in addition to Singh criterion to validate trait with the most contribution. The multivariate methods were consistent with each other, and the weight of 100 grains was the trait that contributed most to the divergence and had similar behavior in grain yield between hybrids in both years. Furthermore, this descriptor representing significant genetic variability for crossings and lines extraction to hybridization between BM 3061, ATL 200 and P 30B39 Y.Universidade Estadual Paulista Faculdade de Ciências Agronômicas Departamento de FitotecniaUNESP FCA Departamento de Ciência do SoloUniversidade Federal de Santa MariaUniversidade Estadual Paulista Faculdade de Ciências Agronômicas Departamento de FitotecniaUNESP FCA Departamento de Ciência do SoloInstituto Agronômico de CampinasUniversidade Estadual Paulista (Unesp)Universidade Federal de Santa MariaRigon, João Paulo Gonsiorkiewicz [UNESP]Capuani, Silvia [UNESP]Rigon, Carlos Alberto Gonsiorkiewicz2015-08-26T19:22:31Z2015-08-26T19:22:31Z2015-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article156-160application/pdfhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000200156&lng=en&nrm=iso&tlng=enBragantia, v. 74, n. 2, p. 156-160, 2015.0006-8705http://hdl.handle.net/11449/12747610.1590/1678-4499.0246S0006-87052015000200156S0006-87052015000200156.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBragantia0,555info:eu-repo/semantics/openAccess2024-04-30T19:28:29Zoai:repositorio.unesp.br:11449/127476Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:10:22.984431Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Genetic divergence among maize hybrids by morphological descriptors
title Genetic divergence among maize hybrids by morphological descriptors
spellingShingle Genetic divergence among maize hybrids by morphological descriptors
Rigon, João Paulo Gonsiorkiewicz [UNESP]
Divergence quantitative descriptors
Multivariate analyses
Zea mays
title_short Genetic divergence among maize hybrids by morphological descriptors
title_full Genetic divergence among maize hybrids by morphological descriptors
title_fullStr Genetic divergence among maize hybrids by morphological descriptors
title_full_unstemmed Genetic divergence among maize hybrids by morphological descriptors
title_sort Genetic divergence among maize hybrids by morphological descriptors
author Rigon, João Paulo Gonsiorkiewicz [UNESP]
author_facet Rigon, João Paulo Gonsiorkiewicz [UNESP]
Capuani, Silvia [UNESP]
Rigon, Carlos Alberto Gonsiorkiewicz
author_role author
author2 Capuani, Silvia [UNESP]
Rigon, Carlos Alberto Gonsiorkiewicz
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de Santa Maria
dc.contributor.author.fl_str_mv Rigon, João Paulo Gonsiorkiewicz [UNESP]
Capuani, Silvia [UNESP]
Rigon, Carlos Alberto Gonsiorkiewicz
dc.subject.por.fl_str_mv Divergence quantitative descriptors
Multivariate analyses
Zea mays
topic Divergence quantitative descriptors
Multivariate analyses
Zea mays
description Two experiments with 25 maize commercial hybrids were carried out in a direct sowing system in Southern Brazil in the harvests of 2009/2010 and 2010/2011. Quantitative descriptors were used with the objective of determining the genetic divergence and the relative contributions of traits among hybrids for extraction of inbred lines. This study was carried out in Oxisol soil using a randomized block design with four replicates. Data were subjected to combined analysis of variance, and based on the multivariate analyses, Tocher and average linkage (UPGMA) cluster analyses, based on generalized distance of Mahalanobis, to quantify divergence in addition to Singh criterion to validate trait with the most contribution. The multivariate methods were consistent with each other, and the weight of 100 grains was the trait that contributed most to the divergence and had similar behavior in grain yield between hybrids in both years. Furthermore, this descriptor representing significant genetic variability for crossings and lines extraction to hybridization between BM 3061, ATL 200 and P 30B39 Y.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-26T19:22:31Z
2015-08-26T19:22:31Z
2015-06-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000200156&lng=en&nrm=iso&tlng=en
Bragantia, v. 74, n. 2, p. 156-160, 2015.
0006-8705
http://hdl.handle.net/11449/127476
10.1590/1678-4499.0246
S0006-87052015000200156
S0006-87052015000200156.pdf
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000200156&lng=en&nrm=iso&tlng=en
http://hdl.handle.net/11449/127476
identifier_str_mv Bragantia, v. 74, n. 2, p. 156-160, 2015.
0006-8705
10.1590/1678-4499.0246
S0006-87052015000200156
S0006-87052015000200156.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bragantia
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 156-160
application/pdf
dc.publisher.none.fl_str_mv Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv SciELO
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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