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| Registros recuperados : 28 | |
| 12. |  | MACHADO, G. M. E.; REGAZZI, A. J.; VIANA, J. M. S.; CRUZ, C. D.; GRANATE, M. J. Estimação de parâmetros genéticos de uma população amazônica de cupuaçuzeiro (Theobroma grandiflorum (Wild ex Spreng) Schum). Revista Ceres, Viçosa, v. 49, n. 281, p. 13-27, 2002.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | VALENTE, M. S.; VIANA, J. M. S.; RESENDE, M. D. V. de; SILVA, F. F. e; LOPES, M. T. G. Seleção genômica para melhoramento vegetal com diferentes estruturas populacionais. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 11, p. 1857-1867, nov. 2016. Título em inglês: Genomic selection for plant breeding with different population structures.| Biblioteca(s): Embrapa Florestas; Embrapa Unidades Centrais. |
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| 14. | | MARIGUELE, K. H.; RESENDE, M. D. V. de; VIANA, J. M. S.; SILVA, F. F. e; SILVA, P. S. L. de; KNOP, F. de C. Métodos de análise de dados longitudinais para o melhoramento genético da pinha. Pesquisa Agropecuária Brasileira, Brasília, v. 46, n. 12, p. 1657-1664, dez. 2011.| Biblioteca(s): Embrapa Florestas; Embrapa Unidades Centrais. |
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| 16. | | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F.; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; OLIVEIRA, E. J. de. New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program. Genetics and Molecular Research, v. 15, n. 4, gmr.15048838, Oct. 2016.| Biblioteca(s): Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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| 17. | | LIMA L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; SUELA, M. M.; NASCIMENTO, M.; VIANA, J. M. S. New insights into genomic selection through population-based non-parametric prediction methods. Scientia Agricicola, v. 76, n. 4, p. 290-298, July/Aug. 2019.| Biblioteca(s): Embrapa Florestas. |
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| 18. | | VIANA, J. M. S.; DELIMA, R. O.; FARIA, V. R.; MUNDIM, G. B.; RESENDE, M. D. V. de; SILVA, F. F. e. Relevance of pedigree, historical data, dominance, and data unbalance for selection efficiency. Agronomy Journal, v. 104, n. 3, p. 722-728, 2012.| Biblioteca(s): Embrapa Florestas. |
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| 19. | | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. Ridge, Lasso and Bayesian additive dominance genomic models. BMC Genetics, v. 16, art. 105, Aug. 2015. 13 p.| Biblioteca(s): Embrapa Florestas. |
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| 20. | | LIMA, L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; VIANA, J. M. S.; OLIVEIRA, E. J. de. Triple categorical regression for genomic selection: application to cassava breeding. Scientia Agricola, v. 76, n. 5, p. 368-375, Sept./Oct. 2019.| Biblioteca(s): Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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| Registros recuperados : 28 | |
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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: |
17/08/2010 |
|
Data da última atualização: |
17/03/2016 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
Autoria: |
VIANA, J. M. S.; ALMEIDA, Í. F. de; RESENDE, M. D. V. de; FARIA, V. R.; SILVA, F. F. e. |
|
Afiliação: |
JOSÉ MARCELO SORIANO VIANA, UFV; ÍSIS FERNANDA DE ALMEIDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; VINÍCIUS RIBEIRO FARIA, UFV; FABIANO FONSECA E SILVA, UFV. |
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Título: |
BLUP for genetic evaluation of plants in non-inbred families of annual crops. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Euphytica, n. 174, p. 31-39, 2010. |
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Idioma: |
Inglês |
|
Conteúdo: |
Best Linear Unbiased Prediction (BLUP) has become the most widely used method for genetic assessment of animal and perennial species, and it is potentially relevant for annual crops. The objective of this study was to assess this method for selection within non-inbred families in recurrent breeding programs. The ‘animal model’ was fitted. The data were expansion volume (EV) and grain yield of plants in recombination plots of two to three selection cycles in the popcorn population Vic¸osa, with halfand full-sib progenies. The ASReml program was used to perform the analyses. For both EV and yield the breeding values predicted from the additive and additive-dominant models were highly correlated. Multi-generation BLUP was, in general, more accurate than single-generation analysis. These two methods resulted in highly correlated predicted breeding values. The dominance genetic values predicted from the single- and multi-generation analysis were also highly correlated. The pedigree information reduced the percentage of coincidences among the selected individuals relative to phenotypic selection mainly in the population structured in halfsib families. Based on breeding values predicted by BLUP analysis, the most efficient selection procedure was mass selection. |
|
Palavras-Chave: |
Modelo animal; Modelo mixto. |
|
Thesagro: |
Seleção Recorrente. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 01868naa a2200205 a 4500
001 1860266
005 2016-03-17
008 2010 bl uuuu u00u1 u #d
100 1 $aVIANA, J. M. S.
245 $aBLUP for genetic evaluation of plants in non-inbred families of annual crops.$h[electronic resource]
260 $c2010
520 $aBest Linear Unbiased Prediction (BLUP) has become the most widely used method for genetic assessment of animal and perennial species, and it is potentially relevant for annual crops. The objective of this study was to assess this method for selection within non-inbred families in recurrent breeding programs. The ‘animal model’ was fitted. The data were expansion volume (EV) and grain yield of plants in recombination plots of two to three selection cycles in the popcorn population Vic¸osa, with halfand full-sib progenies. The ASReml program was used to perform the analyses. For both EV and yield the breeding values predicted from the additive and additive-dominant models were highly correlated. Multi-generation BLUP was, in general, more accurate than single-generation analysis. These two methods resulted in highly correlated predicted breeding values. The dominance genetic values predicted from the single- and multi-generation analysis were also highly correlated. The pedigree information reduced the percentage of coincidences among the selected individuals relative to phenotypic selection mainly in the population structured in halfsib families. Based on breeding values predicted by BLUP analysis, the most efficient selection procedure was mass selection.
650 $aSeleção Recorrente
653 $aModelo animal
653 $aModelo mixto
700 1 $aALMEIDA, Í. F. de
700 1 $aRESENDE, M. D. V. de
700 1 $aFARIA, V. R.
700 1 $aSILVA, F. F. e
773 $tEuphytica$gn. 174, p. 31-39, 2010.
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