Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139185
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dc.contributor.authorCOSTA, J. A. da
dc.contributor.authorAZEVEDO, C. F.
dc.contributor.authorNASCIMENTO, M.
dc.contributor.authorSILVA, F. F.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorNASCIMENTO, A. C. C.
dc.date.accessioned2022-01-19T18:00:33Z-
dc.date.available2022-01-19T18:00:33Z-
dc.date.created2022-01-19
dc.date.issued2022
dc.identifier.citationScientia Agricola, v. 79, n. 6, p. 1-8, 2022.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1139185-
dc.descriptionThe principal component regression (PCR) and the independent component regression (ICR) are dimensionality reduction methods and extremely important in genomic prediction. These methods require the choice of the number of components to be inserted into the model. For PCR, there are formal criteria; however, for ICR, the adopted criterion chooses the number of independent components (ICs) associated to greater accuracy and requires high computational time. In this study, seven criteria based on the number of principal components (PCs) and methods of variable selection to guide this choice in ICR are proposed and evaluated in simulated and real data. For both datasets, the most efficient criterion and that drastically reduced computational time determined that the number of ICs should be equal to the number of PCs to reach a higher accuracy value. In addition, the criteria did not recover the simulated heritability and generated biased genomic values.
dc.language.isoeng
dc.rightsopenAccess
dc.titleDetermination of optimal number of independent components in yield traits in rice.
dc.typeArtigo de periódico
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroProdutividade
dc.subject.thesagroArroz
dc.subject.nalthesaurusGenomics
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusYields
dc.subject.nalthesaurusRice
riaa.ainfo.id1139185
riaa.ainfo.lastupdate2022-01-19
dc.identifier.doihttps://doi.org/10.1590/1678-992X-2020-0397
dc.contributor.institutionJAQUICELE APARECIDA DA COSTA, UFV; CAMILA FERREIRA AZEVEDO, UFV; MOYSÉS NASCIMENTO, UFV; FABYANO FONSECA E SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; ANA CAROLINA CAMPANA NASCIMENTO, UFV.
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