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Registro Completo |
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
28/01/2021 |
Data da última atualização: |
28/01/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos. |
Afiliação: |
RODRIGO 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. |
Título: |
Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Bragantia, v. 79, n. 4, 2020. p. 360-376. |
DOI: |
https://doi.org/10.1590/1678-4499.20200125 |
Idioma: |
Inglês |
Conteúdo: |
An 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. |
Thesagro: |
Eucalipto; Interação Genética; Melhoramento Genético Vegetal; Método Estatístico. |
Thesaurus Nal: |
Eucalyptus; Forest trees; Genotype-environment interaction; Plant breeding; Statistical models. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/220735/1/Quantifying-individual-variation.pdf
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Marc: |
LEADER 02377naa a2200325 a 4500 001 2129653 005 2021-01-28 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/1678-4499.20200125$2DOI 100 1 $aALVES, R. S. 245 $aQuantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials$bapplication in eucalyptus breeding.$h[electronic resource] 260 $c2020 520 $aAn 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. 650 $aEucalyptus 650 $aForest trees 650 $aGenotype-environment interaction 650 $aPlant breeding 650 $aStatistical models 650 $aEucalipto 650 $aInteração Genética 650 $aMelhoramento Genético Vegetal 650 $aMétodo Estatístico 700 1 $aRESENDE, M. D. V. de 700 1 $aROCHA, J. R. do A. S. de C. 700 1 $aPEIXOTO, M. A. 700 1 $aTEODORO, P. E. 700 1 $aSILVA, F. F. e 700 1 $aBHERING, L. L. 700 1 $aSANTOS, G. A. dos 773 $tBragantia$gv. 79, n. 4, 2020. p. 360-376.
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Embrapa Café (CNPCa) |
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8. | | ROCHA, J. A. M. Colheita. In: ZIMMERMANN, M.J. de O.; ROCHA, M.; YAMADA, T. (Ed.). Cultura do feijoeiro: fatores que afetam a produtividade. Piracicaba: Associacao Brasileira para Pesquisa da Potassa e do Fosfato, 1988. p. 341-344.Biblioteca(s): Embrapa Arroz e Feijão. |
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