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| 24. |  | SANTOS, J. F. dos; VIANA, J. M. S.; VILARINHO, A. A.; CÂMARA, T. M. M. Efficiency of S2 progeny selection strategies in popcorn. Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 4, n. 2, p. 183-191, June 2004.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Hortaliças. |
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| 25. | | VILARINHO, A. A.; VIANA, J. M. S.; SANTOS, J. F. dos; CÂMARA, T. M. M. Melhoramento genético vegetal: eficiência da seleção de progênies S1 e S2 de milho-pipoca, visando à produção de linhagens. Bragantia, Campinas, v. 62, n. 1, p. 9-17, 2003.| Biblioteca(s): Embrapa Hortaliças. |
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| 32. | | FARIA, V. R.; VIANA, J. M. S.; SOBREIRA, F. M.; SILVA, A. C. e. Seleção recorrente recíproca na obtenção de híbridos interpopulacionais de milho-pipoca. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 12, p. 1749-1755, dez. 2008. Título em inglês: Reciprocal recurrent selection to obtain interpopulation hybrids of popcorn.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 33. | | CERESINO, E. B.; MINIM, V. P. R.; QUEIROZ, V. A. V.; PACHECO, C. A. P.; VIANA, J. M. S. Aceitabilidade de diferentes cultivares de milho de pipoca. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DOS ALIMENTOS, 21.; SEMINÁRIO LATINOAMERICANO E DO CARIBE DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 15., 2008, Belo Horizonte. Anais... Belo Horizonte: Sociedade Brasileira de Ciência e Tecnologia de Alimentos, 2008. 3 p. 1 CD-ROM.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 34. | | CERESINO, E. B.; MINIM, V. P. R.; QUEIROZ, V. A. V.; PACHECO, C. A. P.; VIANA, J. M. S. Aceitabilidade de diferentes cultivares de milho de pipoca. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DOS ALIMENTOS, 21.; SEMINÁRIO LATINOAMERICANO E DO CARIBE DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 15., 2008, Belo Horizonte. Anais... Belo Horizonte: Sociedade Brasileira de Ciência e Tecnologia de Alimentos, 2008. 1 CD-ROM.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 36. | | FARIA, V. R.; VIANA, J. M. S.; MUNDIM, G. B.; SILVA, A. da C. e; CÂMARA, T. M. M. Adaptabilidade e estabilidade de populações de milho-pipoca relacionadas por ciclos de seleção. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 12, p. 1396-1403, dez. 2010 Título em inglês: Adaptability and stability of popcorn populations related through selection cycles.| Biblioteca(s): Embrapa Unidades Centrais. |
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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: |
27/12/2012 |
|
Data da última atualização: |
20/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
VIANA, J. M. S.; DELIMA, R. O.; FARIA, V. R.; MUNDIM, G. B.; RESENDE, M. D. V. de; SILVA, F. F. e. |
|
Afiliação: |
JOSE MARCELO SORIANO VIANA, UFV; RODRIGO OLIVEIRA DELIMA, UFV; VINÍCIUS RIBEIRO FARIA, UFV; GABRIEL BORGES MUNDIM, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; FABIANO FONSECA E SILVA, UFV. |
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Título: |
Relevance of pedigree, historical data, dominance, and data unbalance for selection efficiency. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Agronomy Journal, v. 104, n. 3, p. 722-728, 2012. |
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Idioma: |
Inglês |
|
Conteúdo: |
The objective of this study was to assess the impact of pedigree, historical data, dominance, and data unbalance on the estimation and precision of genetic variances and breeding values and on the selection efficiency in annual crop breeding. Expansion volume and grain yield from 12 trials of inbred progeny and four tests of non-inbred families were used in the analyses. The S1 to S5 progeny trials were designed as incomplete blocks, the S6 progeny trials were designed as complete blocks, and the half- and full-sib family trials were designed as lattices. The half-sib, full-sib, and inbred family models were fitted in across-generation analyses. One complete and four reduced models were used to assess the relevance of pedigree, historical data, and dominance. Simulated plot losses of 30% in the half- and full-sib progeny trials were used to study the influence of data unbalance. All analyses were performed using ASReml. Ignoring pedigree information or ancestor data and simulating plot losses determined relevant biases in estimating the additive and dominance variances, marked reduction in the precision of the predicted breeding values, significant changes in the classification of the breeding values, and errors in identifying superior individuals, i.e., a significant reduction in the selection efficiency. In contrast, excluding dominance had no significant effect on either the ranking of breeding values or selection efficiency. Our results revealed that best linear unbiased prediction including pedigree and historical data, based on a model with dominance, is the ideal method for genetic evaluation by plant breeders even when lost records are considered. MenosThe objective of this study was to assess the impact of pedigree, historical data, dominance, and data unbalance on the estimation and precision of genetic variances and breeding values and on the selection efficiency in annual crop breeding. Expansion volume and grain yield from 12 trials of inbred progeny and four tests of non-inbred families were used in the analyses. The S1 to S5 progeny trials were designed as incomplete blocks, the S6 progeny trials were designed as complete blocks, and the half- and full-sib family trials were designed as lattices. The half-sib, full-sib, and inbred family models were fitted in across-generation analyses. One complete and four reduced models were used to assess the relevance of pedigree, historical data, and dominance. Simulated plot losses of 30% in the half- and full-sib progeny trials were used to study the influence of data unbalance. All analyses were performed using ASReml. Ignoring pedigree information or ancestor data and simulating plot losses determined relevant biases in estimating the additive and dominance variances, marked reduction in the precision of the predicted breeding values, significant changes in the classification of the breeding values, and errors in identifying superior individuals, i.e., a significant reduction in the selection efficiency. In contrast, excluding dominance had no significant effect on either the ranking of breeding values or selection efficiency. Our results revealed that best linear unbiased... Mostrar Tudo |
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Palavras-Chave: |
Cultura anual; Valor genético. |
|
Thesagro: |
Estimativa; Seleção Genética. |
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Categoria do assunto: |
-- |
|
Marc: |
LEADER 02358naa a2200229 a 4500
001 1943606
005 2015-02-20
008 2012 bl uuuu u00u1 u #d
100 1 $aVIANA, J. M. S.
245 $aRelevance of pedigree, historical data, dominance, and data unbalance for selection efficiency.$h[electronic resource]
260 $c2012
520 $aThe objective of this study was to assess the impact of pedigree, historical data, dominance, and data unbalance on the estimation and precision of genetic variances and breeding values and on the selection efficiency in annual crop breeding. Expansion volume and grain yield from 12 trials of inbred progeny and four tests of non-inbred families were used in the analyses. The S1 to S5 progeny trials were designed as incomplete blocks, the S6 progeny trials were designed as complete blocks, and the half- and full-sib family trials were designed as lattices. The half-sib, full-sib, and inbred family models were fitted in across-generation analyses. One complete and four reduced models were used to assess the relevance of pedigree, historical data, and dominance. Simulated plot losses of 30% in the half- and full-sib progeny trials were used to study the influence of data unbalance. All analyses were performed using ASReml. Ignoring pedigree information or ancestor data and simulating plot losses determined relevant biases in estimating the additive and dominance variances, marked reduction in the precision of the predicted breeding values, significant changes in the classification of the breeding values, and errors in identifying superior individuals, i.e., a significant reduction in the selection efficiency. In contrast, excluding dominance had no significant effect on either the ranking of breeding values or selection efficiency. Our results revealed that best linear unbiased prediction including pedigree and historical data, based on a model with dominance, is the ideal method for genetic evaluation by plant breeders even when lost records are considered.
650 $aEstimativa
650 $aSeleção Genética
653 $aCultura anual
653 $aValor genético
700 1 $aDELIMA, R. O.
700 1 $aFARIA, V. R.
700 1 $aMUNDIM, G. B.
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. F. e
773 $tAgronomy Journal$gv. 104, n. 3, p. 722-728, 2012.
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