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| Registros recuperados : 3 | |
| 1. |  | CARMO, I. L. G. da S.; SILVA, E. S. da; MONTEIRO NETO, J. L. L.; MEDEIROS, R. D. de; ALVES, A. K. S.; CUNHA, L. R. de A. Características das sementes em cultivares de melão no cerrado de Roraima. In: CONGRESSO BRASILEIRO DE AGRONOMIA, 29., 2015, Foz do Iguaçu. Desafios e oportunidades profissionais: anais. Curitiba: CONFEA-PR, 2015.| Biblioteca(s): Embrapa Roraima. |
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| 2. | | SILVA, E. S. da; CARMO, I. L. G. da S.; MONTEIRO NETO, J. L. L.; MEDEIROS, R. D. de; ALVES, A. K. S.; CUNHA, L. R. de A. Rendimento de soja consorciada com teca em sistema integração lavoura-pecuária-floresta em Roraima. In: CONGRESSO BRASILEIRO DE AGRONOMIA, 29., 2015, Foz do Iguaçu. Desafios e oportunidades profissionais: anais. Curitiba: CONFEA-PR, 2015.| Biblioteca(s): Embrapa Roraima. |
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| 3. | | SILVA, A. P.; SILVA, E. S. da; CARMO, I. L. da S.; MEDEIROS, R. D. de; PESSOA, G. G. F. de A.; ALVES, A. K. S. Produção e qualidade de frutos de melão cultivado sob efeito residual da adubação orgânica. In: CONGRESSO BRASILEIRO DE AGRONOMIA, 29., 2015, Foz do Iguaçu. Desafios e oportunidades profissionais: anais. Curitiba: CONFEA-PR, 2015.| Biblioteca(s): Embrapa Roraima. |
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| Registros recuperados : 3 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
28/01/2021 |
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Data da última atualização: |
28/01/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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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. |
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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. |
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Título: |
Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Bragantia, v. 79, n. 4, 2020. p. 360-376. |
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DOI: |
https://doi.org/10.1590/1678-4499.20200125 |
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Idioma: |
Inglês |
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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. |
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Thesagro: |
Eucalipto; Interação Genética; Melhoramento Genético Vegetal; Método Estatístico. |
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Thesaurus NAL: |
Eucalyptus; Forest trees; Genotype-environment interaction; Plant breeding; Statistical models. |
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Categoria do assunto: |
-- |
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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
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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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