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| 114. |  | RESENDE, M. D. V. de; ASSIS, T. F. de; GRATTAPAGLIA, D.; PIRES, I. E. Genética e melhoramento do eucalipto. In: VALE, A. B. do; MACHADO, C. C.; PIRES, J. M. M.; VILAR, M. B.; COSTA, C. B.; NACIF, A. de P. (Ed.). Eucaliptocultura no Brasil: silvicultura, manejo e ambiência. Viçosa, MG: SIF, 2014. p. 103-119.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 117. | | RESENDE, M. D. V. de; STRINGER, J. K.; CULLIS, B. R.; THOMPSON, R. Joint modelling of competition and spatial variability in forest field trials. Revista de Matemática e Estatística, São Paulo, v. 23, n. 2, p. 7-22, 2005. Também publicado em EUCALYPTUS IN A CHANGING WORLD: international IUFRO conference of the WP2.08.03 on silviculture and improvement of eucalypts, 2004, Aveiro. Proceedings. Aveiro: RAIZ - Instituto de Investigação da Floresta e Papel,...| Biblioteca(s): Embrapa Florestas. |
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| 118. | | SANTOS, G. A.; RESENDE, M. D. V. de; SILVA, L. D.; HIGA, A.; ASSIS, T. F. Interação genótipos X ambientes para produtividade de clones de Eucalyptus L'Hér. no Estado do Rio Grande do Sul. Revista Árvore, Viçosa, MG, v. 39, n. 1, p. 81-91, 2015.| Biblioteca(s): Embrapa Florestas. |
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| 120. | | RESENDE, M. D. V. de; SILVA, F. F. e; AZEVEDO, C. F. Estatística matemática, biométrica e computacional: modelos mistos, multivariados, categóricos e generalizados (REML/BLUP), inferência bayesiana, regressão, aleatória, seleção genômica, QTL, GWAS, estatística espacial e temporal, competição, sobrevivência. Viçosa, MG: UFV, 2014. 882 p.| Biblioteca(s): Embrapa Florestas. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
23/10/2012 |
|
Data da última atualização: |
20/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 4 |
|
Autoria: |
VIANA, J. M. S.; FARIA, V. R.; SILVA, F. F. e; RESENDE, M. D. V. de. |
|
Afiliação: |
JOSÉ MARCELO SORIANO VIANA, UFV; VINÍCIUS RIBEIRO FARIA, UFV; FABYANO FONSECA E SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF. |
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Título: |
Combined selection of progeny in crop breeding using best linear unbiased prediction. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Canadian Journal of Plant Science, v. 92, p. 553-562, 2012. |
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Idioma: |
Inglês |
|
Conteúdo: |
Combined selection is an important strategy in crop breeding. As the classical index does not consider pedigree information, the objective of this study was to evaluate the efficiency of the best linear unbiased prediction (BLUP) methodology for combined selection of progeny. We analyzed xpansion volume (EV) and grain yield of parents and inbred and non-inbred progeny from the popcorn population Vic¸osa. The BLUP analyses, single-trait and of the same character measured in parents and progeny (combined parentfamily) were performed using the ASReml software. Because the experiments were balanced, the estimates of the additive variance from the BLUP and least squares analyses were generally equivalent. The accuracies of the BLUP analyses do not clearly establish the superior technique. The accuracy of the classical index tended to be higher than that obtained from BLUP analyses. There was equivalence between BLUP and least squares analyses relative to half-sib and inbred progeny selection, and superiority of the combined parent-family BLUP index for full-sib selection. The BLUP analyses also differed from the least squares analysis on the coincidence of selected parents. The populations obtained by selection based on BLUP of breeding values presented a lower effective size. |
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Palavras-Chave: |
Melhoramento genético; Seleção combinada. |
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Thesagro: |
Progênie. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01884naa a2200193 a 4500
001 1937657
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008 2012 bl uuuu u00u1 u #d
100 1 $aVIANA, J. M. S.
245 $aCombined selection of progeny in crop breeding using best linear unbiased prediction.$h[electronic resource]
260 $c2012
520 $aCombined selection is an important strategy in crop breeding. As the classical index does not consider pedigree information, the objective of this study was to evaluate the efficiency of the best linear unbiased prediction (BLUP) methodology for combined selection of progeny. We analyzed xpansion volume (EV) and grain yield of parents and inbred and non-inbred progeny from the popcorn population Vic¸osa. The BLUP analyses, single-trait and of the same character measured in parents and progeny (combined parentfamily) were performed using the ASReml software. Because the experiments were balanced, the estimates of the additive variance from the BLUP and least squares analyses were generally equivalent. The accuracies of the BLUP analyses do not clearly establish the superior technique. The accuracy of the classical index tended to be higher than that obtained from BLUP analyses. There was equivalence between BLUP and least squares analyses relative to half-sib and inbred progeny selection, and superiority of the combined parent-family BLUP index for full-sib selection. The BLUP analyses also differed from the least squares analysis on the coincidence of selected parents. The populations obtained by selection based on BLUP of breeding values presented a lower effective size.
650 $aProgênie
653 $aMelhoramento genético
653 $aSeleção combinada
700 1 $aFARIA, V. R.
700 1 $aSILVA, F. F. e
700 1 $aRESENDE, M. D. V. de
773 $tCanadian Journal of Plant Science$gv. 92, p. 553-562, 2012.
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