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| Registros recuperados : 208 | |
| 9. |  | ROSSI, R. M.; MARTINS, E. N.; LOPES, P. S.; SILVA, F. F. e. Análise bayesiana univariada e bivariada para a conversão alimentar de suínos da raça Piau. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 10, p. 754-761, out. 2014. Título em inglês: Univariate and bivariate Bayesian analysis for feed conversion of the Piau swine breed.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 12. | | SILVA, H. T.; COSTA, C. N.; LOPES, P. S.; VERONEZE, R.; SILVA, F. F. e. Parâmetros genéticos para Stayabilityem bovinos da raça holandesa no Brasil. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 14., 2021, Santa Catarina. Passado, presente e futuro: anais. Santa Catarina: Sociedade Brasileira de Melhoramento Animal, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | TORAL, F. L. B.; TORRES JÚNIOR, R. A. A.; LOPES, P. S.; SILVA, L. O. C. Efeito da idade ao parto e composição genética da vaca sobre o peso à desmama de bezerros dos grupos genéticos formadores da Raça Canchim. In: JORNADA CIENTÍFICA DA EMBRAPA GADO DE CORTE, 2., 2006, Campo Grande, MS. Anais [da]... 2. ed. Campo Grande, MS: Embrapa Gado de Corte, 2006. 1 p. 1 CD-ROM.| Biblioteca(s): Embrapa Gado de Corte. |
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| 16. | | LOPES, P. S. N.; CARVALHO, J. G. de; RAMOS, J. D. Efeito da adubacao nitrogenada e substratos sobre a nutricao de mudas de maracujazeiro azedo (Passiflora edulis Sims f. Flavicarpa Deg.) cultivadas em tubetes. In: REUNIAO BRAS. FERTILIDADE DO SOLO E NUTRICAO DE PLANTAS, 23.; REUNIAO BRASILEIRA SOBRE MICORRIZAS, 7.; SIMPOSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 5.; REUNIAO BRASILEIRA DE BIOLOGIA DO SOLO, 2., 1998, Caxambu, MG. FertBio 98: resumos. Caxambu: UFLA, 1998. p.677. Interrelacao fertilidade, biologia do solo e nutricao de plantas: consolidando um paradigma.| Biblioteca(s): Embrapa Cerrados. |
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| 17. | | MOTA, R. R.; TEMPELMAN, R. J.; CARDOSO, F. F.; AGUILAR, I. G.; LOPES, P. S. Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver, British Columbia, Canada. Proceedings... Champaign: ASAS, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 19. | | SILVA, H. P.; NEVES, J. M. G.; BRANDÃO JUNIOR, D. da S.; LOPES, P. S. N. Influência da posição da semente na semeadura para produção de mudas de pinhão manso (Jatropha curcas). In: CONGRESSO DA REDE BRASILEIRA DE TECNOLOGIA DE BIODIESEL, 2., 2007, Brasília, DF. Anais...Brasília, DF: MCT/ABIPTI, 2007.| Biblioteca(s): Embrapa Algodão. |
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| 20. | | ABREU, U. G. P.; LOPES, P. S.; TORRES, R. de A.; SANTOS, H. do N. Avaliação da introdução de tecnologias no sistema de produção de gado de corte no Pantanal I - descarte de matrizes. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 41., 2004, Campo Grande, MS. A produção animal e segurança alimentar: anais. Campo Grande: SBZ, 2004. 5p. CD-ROM, SiS 073.| Biblioteca(s): Embrapa Pantanal. |
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| Registros recuperados : 208 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
14/07/2017 |
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Data da última atualização: |
03/01/2018 |
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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: |
SANTOS, V. S.; MARTINS FILHO, S.; RESENDE, M. D. V. de; AZEVEDO, C. F.; LOPES, P. S.; GUIMARÃES, S. E. F.; SILVA, F. F. |
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Afiliação: |
V. S. SANTOS, Departamento de Estatística, Universidade Federal de Viçosa; S. MARTINS FILHO, Departamento de Estatística, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. AZEVEDO, Departamento de Estatística, Universidade Federal de Viçosa; P. S. LOPES, Departamento de Zootecnia, Universidade Federal de Viçosa; S. E. F. GUIMARÃES, Departamento de Zootecnia, Universidade Federal de Viçosa; F. F. SILVA, Departamento de Zootecnia, Universidade Federal de Viçosa. |
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Título: |
Genomic prediction for additive and dominance effects of censored traits in pigs. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr15048764, Oct. 2016. |
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DOI: |
http://dx.doi.org/10.4238/gmr15048764 |
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Idioma: |
Inglês |
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Conteúdo: |
Age at the time of slaughter is a commonly used trait in animal breeding programs. Since studying this trait involves incomplete observations (censoring), analysis can be performed using survival models or modified linear models, for example, by sampling censored data from truncated normal distributions. For genomic selection, the greatest genetic gains can be achieved by including non-additive genetic effects like dominance. Thus, censored traits with effects on both survival models have not yet been studied under a genomic selection approach. We aimed to predict genomic values using the Cox model with dominance effects and compare these results with the linear model with and without censoring. Linear models were fitted via the maximum likelihood method. For censored data, sampling through the truncated normal distribution was used, and the model was called the truncated normal linear via Gibbs sampling (TNL). We used an F2 pig population; the response variable was time (days) from birth to slaughter. Data were previously adjusted for fixed effects of sex and contemporary group. The model predictive ability was calculated based on correlation of predicted genomic values with adjusted phenotypic values. The results showed that both with and without censoring, there was high agreement between Cox and linear models in selection of individuals and markers. Despite including the dominance effect, there was no increase in predictive ability. This study showed, for the first time, the possibility of performing genomic prediction of traits with censored records while using the Cox survival model with additive and dominance effects. MenosAge at the time of slaughter is a commonly used trait in animal breeding programs. Since studying this trait involves incomplete observations (censoring), analysis can be performed using survival models or modified linear models, for example, by sampling censored data from truncated normal distributions. For genomic selection, the greatest genetic gains can be achieved by including non-additive genetic effects like dominance. Thus, censored traits with effects on both survival models have not yet been studied under a genomic selection approach. We aimed to predict genomic values using the Cox model with dominance effects and compare these results with the linear model with and without censoring. Linear models were fitted via the maximum likelihood method. For censored data, sampling through the truncated normal distribution was used, and the model was called the truncated normal linear via Gibbs sampling (TNL). We used an F2 pig population; the response variable was time (days) from birth to slaughter. Data were previously adjusted for fixed effects of sex and contemporary group. The model predictive ability was calculated based on correlation of predicted genomic values with adjusted phenotypic values. The results showed that both with and without censoring, there was high agreement between Cox and linear models in selection of individuals and markers. Despite including the dominance effect, there was no increase in predictive ability. This study showed, for the first time,... Mostrar Tudo |
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Palavras-Chave: |
Censored data; GBLUP; Mixed model; Modelo mixto; Survival models. |
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Thesagro: |
Porco; Suíno. |
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Thesaurus NAL: |
Animal breeding; Swine. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161816/1/2016-M.Deon-GMR-Genomic.pdf
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Marc: |
LEADER 02545naa a2200313 a 4500
001 2072712
005 2018-01-03
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr15048764$2DOI
100 1 $aSANTOS, V. S.
245 $aGenomic prediction for additive and dominance effects of censored traits in pigs.$h[electronic resource]
260 $c2016
520 $aAge at the time of slaughter is a commonly used trait in animal breeding programs. Since studying this trait involves incomplete observations (censoring), analysis can be performed using survival models or modified linear models, for example, by sampling censored data from truncated normal distributions. For genomic selection, the greatest genetic gains can be achieved by including non-additive genetic effects like dominance. Thus, censored traits with effects on both survival models have not yet been studied under a genomic selection approach. We aimed to predict genomic values using the Cox model with dominance effects and compare these results with the linear model with and without censoring. Linear models were fitted via the maximum likelihood method. For censored data, sampling through the truncated normal distribution was used, and the model was called the truncated normal linear via Gibbs sampling (TNL). We used an F2 pig population; the response variable was time (days) from birth to slaughter. Data were previously adjusted for fixed effects of sex and contemporary group. The model predictive ability was calculated based on correlation of predicted genomic values with adjusted phenotypic values. The results showed that both with and without censoring, there was high agreement between Cox and linear models in selection of individuals and markers. Despite including the dominance effect, there was no increase in predictive ability. This study showed, for the first time, the possibility of performing genomic prediction of traits with censored records while using the Cox survival model with additive and dominance effects.
650 $aAnimal breeding
650 $aSwine
650 $aPorco
650 $aSuíno
653 $aCensored data
653 $aGBLUP
653 $aMixed model
653 $aModelo mixto
653 $aSurvival models
700 1 $aMARTINS FILHO, S.
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, C. F.
700 1 $aLOPES, P. S.
700 1 $aGUIMARÃES, S. E. F.
700 1 $aSILVA, F. F.
773 $tGenetics and Molecular Research$gv. 15, n. 4, gmr15048764, Oct. 2016.
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