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| Registros recuperados : 125 | |
| 44. |  | SUELA, M. M.; LIMA, L. P.; AZEVEDO, C. F.; RESENDE, M. D. V. de; NASCIMENTO, M.; SILVA, F. F. e. Combined index of genomic prediction methods applied to productivity traits in rice. Ciência Rural, Santa Maria, v. 49, n. 6, e20181008, June 2019. 9 p.| Biblioteca(s): Embrapa Florestas. |
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| 46. | | SANTOS, V. S. dos; MARTINS FILHO, S.; ALVES, R. M.; RESENDE, M. D. V. de; SILVA, F. F. e. Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling. Bragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 47. | | SANTOS, V. S. dos; MARTINS FILHO, S.; ALVES, R. M.; RESENDE, M. D. V. de; SILVA, F. F. e. Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling. Bragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015.| Biblioteca(s): Embrapa Florestas. |
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| 49. | | 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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| 50. | | 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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| 51. | | 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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| 52. | | ALMEIDA FILHO, J. E. de; GUIMARÃES, J. F. R.; SILVA, F. F. e; RESENDE, M. D. V. de; MUÑOZ, P.; KIRST, M.; RESENDE JUNIOR, M. F. R. The contribution of dominance to phenotype prediction in a pine breeding and simulated population. Heredity, v. 117, p. 33-41, July 2016.| Biblioteca(s): Embrapa Florestas. |
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| 53. | | SILVA, D. A. da; SILVA, F. F. e; VENTURA, H. T.; JUNQUEIRA, V. S.; SILVA, A. A. da; MOTA, R. R.; LOPES, P. S. Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 8, p. 643-651, fev. 2017. Título em português: Grupos de contemporâneos na avaliação genética de gado Nelore por inferência bayesiana.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 54. | | 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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| 55. | | CECON, P. R.; SILVA, F. F. e; FERREIRA, A.; FERRÃO, R. G.; CARNEIRO, A. P. S.; DETMANN, E.; FARIA, P. N.; MORAIS, T. S. da S. Análise de medidas repetidas na avaliação de clones de café 'Conilon'. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 9, p. 1171-1176, set. 2008. Título em inglês: Repeated measure analysis in the clonal evaluation in 'Conilon' coffee.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 56. | | BARROSO, L. M. A.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; SILVA, F. F. e; CRUZ, C. D.; BHERING, L. L.; FERREIRA, R. de P. Metodologia para análise de adaptabilidade e estabilidade por meio de regressão quantílica. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 4, p. 267-290-297, abr. 2015. Título em inglês: Methodology for analysis of adaptability and stability using quantile regression.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 58. | | 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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| 59. | | CARVALHO, S. de P. C. e; CALEGARIO, N.; SILVA, F. F. e; BORGES, L. A. C.; MENDONÇA, A. R. de; LIMA, M. P. de. Modelos não lineares generalizados aplicados na predição da área basal e volume de Eucalyptus clonal. Cerne, Lavras, v. 17, n. 4, p. 541-548, out./dez. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 60. | | 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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| Registros recuperados : 125 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
10/06/2016 |
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Data da última atualização: |
10/06/2016 |
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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: |
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. |
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Afiliação: |
HENRIQUE TORRES VENTURA, UFV/ABCZ; FABYANO FONSECA E SILVA, UFV; LUIZ VARONA, Universidad de Zaragoza; ELSIO ANTONIO PEREIRA DE FIGUEIREDO, CNPSA; EDSON VINÍCIUS COSTA, UFV; LUCIANO PINHEIRO DA SILVA, UFC; RICARDO VENTURA, University of Guelph; PAULO SÁVIO LOPES, UFV. |
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Título: |
Comparing multi-trait Poisson and Gaussian Bayesian models for genetic evaluation of litter traits in pigs. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Livestock Science, v. 176, p. 47-53, 2015. |
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DOI: |
10.1016/j.livsci.2015.03.030 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Reproductive traits as number of piglets born (NPB) and weaned (NWP) are directly related to the economic efficiency of swine production systems. Pig breeding programs seek to increase the number of weaned piglets per sow per year, and the NPB is among the factors that directly and indirectly influence the NWP. Thus, multi-trait evaluations are essential to estimate heritabilities and mainly genetic correlations between these traits over different farrowing orders. In general, Gaussian linear mixed models have been used to genetic evaluation of litter traits; however since these traits are characterized as count variables, Poisson models are also indicated. Some studies were carried out using Poisson mixed models in the area of Animal Breeding and Genetics, but they do not point out for a multi-trait scenario, as it should be for litter size at birth and weaning. Toward this orientation, we aimed to apply a multi-trait Poisson mixed model (MPM) for the genetic evaluation of the number of born and weaned piglets under a Bayesian framework. It was aimed also to compare the proposed model with the traditional multi-trait Gaussian model (MGM) by using posterior based goodness-of-fit measures. Two-trait analyses for NPB and NWP were performed separately by each considered farrowing order (first, second and third) using MPM and MGM fitted to data from a commercial Landrace population. Based on DIC (Deviance Information Criterion) and PMP (Posterior Model Probability) values, the MGM outperformed the MPM, but the genetic parameter and breeding values provided by both models were consistent and similar over the three first farrowing orders. Bayesian generalized a multi-trait mixed model approach is feasible for genetic evaluations in the animal breeding context and can be an alternative method for genetic evaluations assuming non-Normal phenotypes. MenosAbstract: Reproductive traits as number of piglets born (NPB) and weaned (NWP) are directly related to the economic efficiency of swine production systems. Pig breeding programs seek to increase the number of weaned piglets per sow per year, and the NPB is among the factors that directly and indirectly influence the NWP. Thus, multi-trait evaluations are essential to estimate heritabilities and mainly genetic correlations between these traits over different farrowing orders. In general, Gaussian linear mixed models have been used to genetic evaluation of litter traits; however since these traits are characterized as count variables, Poisson models are also indicated. Some studies were carried out using Poisson mixed models in the area of Animal Breeding and Genetics, but they do not point out for a multi-trait scenario, as it should be for litter size at birth and weaning. Toward this orientation, we aimed to apply a multi-trait Poisson mixed model (MPM) for the genetic evaluation of the number of born and weaned piglets under a Bayesian framework. It was aimed also to compare the proposed model with the traditional multi-trait Gaussian model (MGM) by using posterior based goodness-of-fit measures. Two-trait analyses for NPB and NWP were performed separately by each considered farrowing order (first, second and third) using MPM and MGM fitted to data from a commercial Landrace population. Based on DIC (Deviance Information Criterion) and PMP (Posterior Model Probability) val... Mostrar Tudo |
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Thesagro: |
Genética animal; Melhoramento genético animal; Produção animal; Suíno. |
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Thesaurus NAL: |
Animal breeding; Animal genetics; Animal reproduction; Molecular genetics; Swine. |
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Categoria do assunto: |
-- |
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Marc: |
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024 7 $a10.1016/j.livsci.2015.03.030$2DOI
100 1 $aVENTURA, H. T.
245 $aComparing multi-trait Poisson and Gaussian Bayesian models for genetic evaluation of litter traits in pigs.$h[electronic resource]
260 $c2015
520 $aAbstract: Reproductive traits as number of piglets born (NPB) and weaned (NWP) are directly related to the economic efficiency of swine production systems. Pig breeding programs seek to increase the number of weaned piglets per sow per year, and the NPB is among the factors that directly and indirectly influence the NWP. Thus, multi-trait evaluations are essential to estimate heritabilities and mainly genetic correlations between these traits over different farrowing orders. In general, Gaussian linear mixed models have been used to genetic evaluation of litter traits; however since these traits are characterized as count variables, Poisson models are also indicated. Some studies were carried out using Poisson mixed models in the area of Animal Breeding and Genetics, but they do not point out for a multi-trait scenario, as it should be for litter size at birth and weaning. Toward this orientation, we aimed to apply a multi-trait Poisson mixed model (MPM) for the genetic evaluation of the number of born and weaned piglets under a Bayesian framework. It was aimed also to compare the proposed model with the traditional multi-trait Gaussian model (MGM) by using posterior based goodness-of-fit measures. Two-trait analyses for NPB and NWP were performed separately by each considered farrowing order (first, second and third) using MPM and MGM fitted to data from a commercial Landrace population. Based on DIC (Deviance Information Criterion) and PMP (Posterior Model Probability) values, the MGM outperformed the MPM, but the genetic parameter and breeding values provided by both models were consistent and similar over the three first farrowing orders. Bayesian generalized a multi-trait mixed model approach is feasible for genetic evaluations in the animal breeding context and can be an alternative method for genetic evaluations assuming non-Normal phenotypes.
650 $aAnimal breeding
650 $aAnimal genetics
650 $aAnimal reproduction
650 $aMolecular genetics
650 $aSwine
650 $aGenética animal
650 $aMelhoramento genético animal
650 $aProdução animal
650 $aSuíno
700 1 $aSILVA, F. F e
700 1 $aVARONA, L.
700 1 $aFIGUEIREDO, E. A. P. de
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700 1 $aSILVA, L. P. da
700 1 $aVENTURA. R.
700 1 $aLOPES, P. S.
773 $tLivestock Science$gv. 176, p. 47-53, 2015.
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