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| Registros recuperados : 125 | |
| 43. |  | OLIVEIRA, L. T. de; MENEZES, G. R. de O.; SILVA, F. F. e; OLIVEIRA, H. R. de; VENTURA, H. T. Modelos de limiar em regressão aleatória para avaliação genética da probabilidade de prenhez na raça Sindi. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto, SP. Fenômica e outras ômicas na produção animal: Anais... Sertãozinho: Sociedade de Melhoramento Animal/Instituto de Zootecnia, 2017.| Biblioteca(s): Embrapa Gado de Corte. |
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| 44. | | SILVA, C. H. O.; SILVA, F. F. e; BATISTA, D. da C.; CARNEIRO, A. P. S.; MIZUBUTI, E. S. G. Modelo linear generalizado misto para estimar intensidade de doença em tomateiro. In: REUNIÃO ANUAL DA REGIÃO BRASILEIRA DA SOCIEDADE INTERNACIONAL DE BIOMETRIA, 52., SIMPÓSIO DE ESTATÍSTICA APLICADA À EXPERIMENTAÇÃO AGRONÔMICA, 12., 2007, Santa Maria. Anais.... Santa Maria: SIB, 2007.| Biblioteca(s): Embrapa Semiárido. |
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| 45. | | NASCIMENTO, N; FERREIRA, A.; NASCIMENTO, A. C. C.; SILVA, F. F. e; FERREIRA, R. de P.; CRUZ, C. D. Multiple centroid method to evaluate the adaptability of alfalfa genotypes. Revista Ceres, Viçosa, v. 62, n. 1, p. 030-036, jan/fev, 2015| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 46. | | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; LOPES, P. S.; GUIMARÃES, S. E. F. Regressão via componentes independentes aplicada à seleção genômica para características de carcaça em suínos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 6, p. 619-626, jun. 2013.| Biblioteca(s): Embrapa Florestas; Embrapa Unidades Centrais. |
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| 47. | | 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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| 49. | | FIORINI, C. V. A.; SILVA, D. J. H. da; SILVA, F. F. e; MIZUBUTI, E. S. G.; ALVES, D. P.; CARDOSO, T. de S. Agrupamento de curvas de progresso de requeima, em tomateiro originado de cruzamento interespecífico. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 45, n. 10, p. 1095-1101, nov. 2010 Título em inglês: Clustering of progress curves of late blight for tomato genotypes from interspecific crosses.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 50. | | AZEVEDO, C. F.; SILVA, F. F. e; RIBEIRO, N. B.; SILVA, D. J. H. da; CECON, P. R.; BARILI, L. D.; PINHEIRO, V. R. Classificação multivariada de curvas de progresso da requeima do tomateiro entre acessos do Banco de Germoplasma de Hortaliças da UFV. Ciência Rural, Santa Maria, v. 42, n. 3, p. 414-417, mar. 2012.| Biblioteca(s): Embrapa Hortaliças. |
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| 51. | | BARBOSA, E. C.; SILVA, C. H. O.; NASCIMENTO, M.; SILVA, F. F. e; MINIM, V. P. R.; DELIZA, R.; SILVA, S. M. Della L. Choice-based conjoint analysis: um enfoque bayesiano. Revista Brasileira de Biometria, Lavras, v.36, n.1, 2018. 19 p.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 52. | | VENTURA, H. T.; SILVA, F. F e; VARONA, L.; FIGUEIREDO, E. A. P. de; COSTA, E. V.; SILVA, L. P. da; VENTURA. R.; LOPES, P. S. Comparing multi-trait Poisson and Gaussian Bayesian models for genetic evaluation of litter traits in pigs. Livestock Science, v. 176, p. 47-53, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 53. | | COSTA, J. A. da; AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F. e; RESENDE, M. D. V. de; NASCIMENTO, A. C. C. A comparison of regression methods based on dimensional reduction for genomic prediction. Genetics and Molecular Research, v. 20, n. 2, p. 1-15, 2021.| Biblioteca(s): Embrapa Café. |
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| 54. | | OLIVEIRA, F. C. de; BORGES, C. C. H.; ALMEIDA, F. N.; SILVA, F. F. e; VERNEQUE, R. da S.; SILVA, M. V. G. B.; ARBEX, W. A. SNPs selection using support vector regression and genetic algorithms in GWAS BMC Genomics, v. 15, article S4, 2014. 15 p. Suppl. 7.| Biblioteca(s): Embrapa Gado de Leite. |
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| 55. | | JUNQUEIRA, V. S.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e; LOURENÇO, D. A. L.; YOKOO, M. J. I.; CARDOSO, F. F. Impact of embryo transfer phenotypic records on large-scale beef cattle genetic evaluations. Revista Brasileira de Zootecnia, Viçosa, MG, v. 47, e20170033, 2018. 4 p.| Biblioteca(s): Embrapa Florestas; Embrapa Pecuária Sul. |
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| 56. | | CARNEIRO, A. P. S.; MUNIZ, J. A.; CARNEIRO, P. L. S.; MALHADO, C. H. M.; MARTINS FILHO, R.; SILVA, F. F. e. Identidade de modelos não lineares para comparar curvas de crescimento de bovinos da raça Tabapuã. Pesquisa agropecuária brasileira, Brasília, DF, v. 49, n. 1, p. 57-62, jan. 2014. Título em inglês: Identity of nonlinear models to compare growth curves of the cattle breed Tabapuã.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 58. | | ALMEIDA FILHO, J. E. de A.; RODRIGUES, J. F. G.; SILVA, F. F. e; RESENDE, M. D. V. de; RESENDE JÚNIOR, M.; MUÑOZ, P.; KIRST, M. Genomic prediction of assitive and non-additive effects using genetic markers and pedigrees in pines breeding. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: SBMP: UFG, 2015. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 59. | | ALMEIDA FILHO, J. E. de; TARDIN, F. D.; RESENDE, M. D. V. de; SILVA, F. F. e; GRANATO, I. S. C.; MENEZES, C. B. de. Genetic evaluation of grain sorghum hybrids in Brazilian environments using the REML/BLUP procedure. Scientia Agricola, Piracicaba, v. 71, n. 2, p. 146-150, Mar./Apr. 2014.| Biblioteca(s): Embrapa Florestas; Embrapa Milho e Sorgo. |
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| 60. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L. Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. Bragantia, v. 81, 2022. 12 p.| Biblioteca(s): Embrapa Café. |
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| Registros recuperados : 125 | |
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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
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
27/12/2012 |
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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. |
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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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