Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1129653
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dc.contributor.authorALVES, R. S.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorROCHA, J. R. do A. S. de C.
dc.contributor.authorPEIXOTO, M. A.
dc.contributor.authorTEODORO, P. E.
dc.contributor.authorSILVA, F. F. e
dc.contributor.authorBHERING, L. L.
dc.contributor.authorSANTOS, G. A. dos
dc.date.accessioned2021-01-29T00:53:54Z-
dc.date.available2021-01-29T00:53:54Z-
dc.date.created2021-01-28
dc.date.issued2020
dc.identifier.citationBragantia, v. 79, n. 4, 2020. p. 360-376.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1129653-
dc.descriptionAn accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (Eucalyptus spp.) breeding. To this end, a data set with 215 eucalyptus clones of different species and hybrids evaluated in four environments for diameter at breast height (DBH) and Pilodyn penetration (PP) was used. Variance components were estimated by restricted maximum likelihood, and genetic values were predicted by best linear unbiased prediction. The best-fitted model for DBH and PP was indicated by the Akaike information criterion, and the significance of the genotype effects was tested using the likelihood ratio test. Genetic variability between eucalyptus clones and very high accuracies ( r^gg >=0.90 ) were detected for both traits. Reaction norms and eigenfunctions generated genetic insights into G × E interactions. This is the first study that quantified individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus breeding and demonstrated the great potential of this technique.
dc.language.isoeng
dc.rightsopenAccesseng
dc.titleQuantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding.
dc.typeArtigo de periódico
dc.subject.thesagroMétodo Estatístico
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroInteração Genética
dc.subject.thesagroEucalipto
dc.subject.nalthesaurusStatistical models
dc.subject.nalthesaurusGenotype-environment interaction
dc.subject.nalthesaurusForest trees
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusEucalyptus
riaa.ainfo.id1129653
riaa.ainfo.lastupdate2021-01-28
dc.identifier.doihttps://doi.org/10.1590/1678-4499.20200125
dc.contributor.institutionRODRIGO SILVA ALVES, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; JOÃO ROMERO DO AMARAL SANTOS DE CARVALHO ROCHA, UFV; MARCO ANTÔNIO PEIXOTO, UFV; PAULO EDUARDO TEODORO, UFMS; FABYANO FONSECA E SILVA, UFV; LEONARDO LOPES BHERING, UFV; GLEISON AUGUSTO DOS SANTOS, UFV.
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