Mixed models and multivariate analysis for selection of superior maize genotypes

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dc.contributor.authorOliveira, Gustavo H. F. [UNESP]
dc.contributor.authorAmaral, Camila B. [UNESP]
dc.contributor.authorSilva, Flávia A. M. [UNESP]
dc.contributor.authorDutra, Sophia M. F. [UNESP]
dc.contributor.authorMarconato, Marcela B. [UNESP]
dc.contributor.authorMôro, Gustavo V. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:46:04Z
dc.date.available2018-12-11T16:46:04Z
dc.date.issued2016-01-01
dc.description.abstractSelections via the mixed model and the multivariate analysis approach can be powerful tools for selecting cultivars in plant breeding programs. Therefore, this study aimed to compare the use of mixed models, multivariate analysis and traditional phenotypic selection to identify superior maize (Zea mays L.) genotypes. Seventy-one (71) maize Topcrosses and three commercial cultivars were evaluated using these three methods. Plant height, ear height, ear placement, stalk lodging and breakage, and grain yield were evaluated. There was a difference between selection methods, as the selection with mixed models and the selection based on the average phenotypic afforded the inclusion of genotypes with high productivity, which did not occur for the multivariate analysis. The selection by multivariate analysis allowed the inclusion of genotypes with better agronomic and other desirable traits, not only those with highest productivity, in a maize breeding program.en
dc.description.affiliationUniversidade Estadual Paulista ‘Júlio de Mesquita Filho’ (UNESP) Faculdade de Ciências Agrárias e Veterinárias, Via de acesso Prof. Paulo Donato Castellane s/n
dc.description.affiliationUnespUniversidade Estadual Paulista ‘Júlio de Mesquita Filho’ (UNESP) Faculdade de Ciências Agrárias e Veterinárias, Via de acesso Prof. Paulo Donato Castellane s/n
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.format.extent427-431
dc.identifierhttp://dx.doi.org/10.4067/S0718-58392016000400005
dc.identifier.citationChilean Journal of Agricultural Research, v. 76, n. 4, p. 427-431, 2016.
dc.identifier.doi10.4067/S0718-58392016000400005
dc.identifier.issn0718-5839
dc.identifier.issn0718-5820
dc.identifier.scopus2-s2.0-85013407934
dc.identifier.urihttp://hdl.handle.net/11449/169476
dc.language.isoeng
dc.relation.ispartofChilean Journal of Agricultural Research
dc.relation.ispartofsjr0,377
dc.relation.ispartofsjr0,377
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectBlup
dc.subjectK-means
dc.subjectZea mays
dc.titleMixed models and multivariate analysis for selection of superior maize genotypesen
dc.typeArtigo

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