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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
10/06/2016 |
Data da última atualização: |
10/06/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Comparing multi-trait Poisson and Gaussian Bayesian models for genetic evaluation of litter traits in pigs. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Livestock Science, v. 176, p. 47-53, 2015. |
DOI: |
10.1016/j.livsci.2015.03.030 |
Idioma: |
Inglês |
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 |
Thesagro: |
Genética animal; Melhoramento genético animal; Produção animal; Suíno. |
Thesaurus Nal: |
Animal breeding; Animal genetics; Animal reproduction; Molecular genetics; Swine. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02837naa a2200325 a 4500 001 2046791 005 2016-06-10 008 2015 bl uuuu u00u1 u #d 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 700 1 $aCOSTA, E. V. 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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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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Registros recuperados : 42 | |
3. | | NASCIMENTO, G. B.; VENTURA, R. V.; LEDUR, M. C.; SAVEGNAGO, R. P.; SENO, L. de O.; MUNARI, D. P. Inbreeding effect and genotyping strategies for genomic selection in simulated data. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 41. ISAFG 2013. AB 34.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Suínos e Aves. |
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5. | | CARRARA, E. R.; LOPES, P. S.; PEREZ, B. C.; VENTURA, R. V.; JOSAHKIAN, L. A.; PEIXOTO, M. G. C. D. Inbreeding and its effects on milk, growth, and reproductive traits in Guzerá cattle clustered by genetic similarity. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings... Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 336. Evento virtual.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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6. | | CHUD, T. C. S.; VENTURA, R. V.; SCHENKEL. F. S.; URBINATI, I.; CARVALHEIRO, R.; REGITANO, L. C. de A.; MARCONDES, C. R.; MINARI, D. P. Accuracy of genotype imputation in Canchim cattle using FImpute and Beagle software., In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.20.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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7. | | FREITAS, L. S.; SILVA, M. A.; VERNEQUE, R. da S.; SANTOS, G. G.; CORRÊA, G. S.; VALENTE, B. D.; PEIXOTO, M. G. C. D.; VENTURA, R. V. Comparação de modelos de regressão aleatória, para avaliação genética da produção de leite no dia do controle de vacas Guzerá. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 7., 2008, São Carlos. Anais... São Carlos: SBMA, 2008.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Gado de Leite. |
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8. | | 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.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Suínos e Aves. |
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10. | | BUZANSKAS, M. E.; GROSSI, D. A.; SCHENKEL, D. A.; VENTURA, R.; REGITANO, L. C. de A.; ALENCAR, M. M. de; MUNARI, D. P. Genome wide association analysis for birth and weaning weight in Canchim beef cattle. In: ANNUAL MEETING BRAZILIAN SOCIETY OF ANIMAL SCIENCE, 50., 2013, Campinas. The integration of Knowledge in animal production - Abstracts. Campinas: SBZ, 2013. 1 CD-ROMTipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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11. | | OLIVEIRA JUNIOR, G. A.; VENTURA, R.; FREITAS, B. G. de; SANTANA, M. H. A.; SILVA, M. V. G. B.; FERRAZ, J. B. S.; GARRICK, D. J. Genome-wide association study in reproductive trait of Nellore heifers. In: PLANT & ANIMAL GENOME, 24., 2016, San Diego. [Proceedings...] San Diego: [s.n.], 2016.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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12. | | VIZONA, R. G.; PEREZ, B. da C.; PEIXOTO, M. G. C. D.; VIANA, J. H. M.; VENTURA, R. V.; VERCESI FILHO, A. E.; BALIEIRO, J. C. de C. Genetic analysis of in-vitro embryo production traits in Dairy Gir cattle. Theriogenology, v. 148, p. 149-161, 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia. |
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13. | | SIMONELLI, S. M.; SILVA, M. A.; SILVA, L. O. C. da; PEREIRA, J. C. C.; SOUZA, J. E. R.; VENTURA, R. V.; VALENTE, B. D. Critérios de seleção para características de crescimento em bovinos da raça Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 56, n. 3, p. 374-384, jun. 2004. Título em inglês: Selection criteria for growth traits in Nellore cattle.Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Gado de Corte. |
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14. | | BUZANSKAS, M. E.; GROSSI, D. A.; SCHENKEL, D. A.; VENTURA, R.; REGITANO, L. C. de A.; ALENCAR, M. M. de; MUNARI, D. P. Linkage disequilibrium analysis in Canchim beef cattle. In: ANNUAL MEETING BRAZILIAN SOCIETY OF ANIMAL SCIENCE, 50., 2013, Campinas. The integration of Knowledge in animal production - Abstracts. Campinas: SBZ, 2013. 1 CD-ROMTipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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15. | | FRIDRICH, A. B.; SILVA, M. A.; VALENTE, B. D.; SOUSA, J. E. R.; CORRÊA, G. S. S.; FERREIRA, I. C.; VENTURA, R. V.; SILVA, L. O. C. Interação genótipo x ambiente e estimativas de parâmetros genéticos dos pesos aos 205 e 365 dias de idade de bovinos Nelore. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 60, n. 4, p. 917-925, ago. 2008.Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
Biblioteca(s): Embrapa Gado de Corte. |
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16. | | BUZANSKAS, M. E.; VENTURA, R. V.; REGITANO, L. C. de A.; SCHENKEL, F. S.; ALENCAR, M. M. de; MUNARI, D. P. Estudo de associações genômicas para idade ao primeiro e segundo parto em bovinos da raça Canchim. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Belo Horizonte: SBMA, 2013. 3 p.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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17. | | PERIPOLLI, E.; OLIVIERI. B. F.; FEITOSA, F. L. B.; LEMOS, M. V. A. de; TONUSSI, R. L.; MUNARI, D. P.; PANETTO, J. C. do C.; MACHADO, M. A.; VENTURA, R. V.; BALDI, F.; SILVA, M. V. G. B. Avaliação dos coeficientes de endogamia em bovinos da raça Gir (Bos primigenius indicus) In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 3 p.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Gado de Leite. |
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18. | | PERIPOLLI, E.; STAFUZZA, N. B.; MUNARI, D. P.; LIMA, A. L. F.; IRGANG, R.; MACHADO, M. A.; PANETTO, J. C. do C.; VENTURA, R. V.; BALDI, F.; SILVA, M. V. G. B. Assessment of runs of homozygosity islands and estimates of genomic inbreeding in Gyr (Bos indicus) dairy cattle. BMC Genomics, v. 19, n. 34, 2018. 13 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Gado de Leite. |
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19. | | BUZANSKAS, M. E.; GROSSI, D. A.; VENTURA, R. V.; CHUD, T. C. S.; URBINATI, I.; MEIRELLES, S. L. C.; MOKRY, F. B.; SCHENKEL, F. S.; REGITANO, L. C. de A.; MUNARI, D. P. Genome-wide association study on long-yearling scrotal circumference in Canchim cattle. In:WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings...Vancouver: WCGALP: Amarican Society of Animal Science, 2014.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pecuária Sudeste. |
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20. | | SANTIAGO, G. G.; SIQUEIRA, F.; CARDOSO, F. F.; REGITANO, L. C. de A.; VENTURA, R.; SOLLERO, B. P.; SOUZA JÚNIOR, M. D.; MOKRY, F. B.; FERREIRA, A. B. R.; TORRES JUNIOR, R. A. de A. Genomewide association study for production and meat quality traits in Canchim beef cattle. Journal of Animal Science, v. 95, n. 8, p. 3381-3390, Aug. 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Pecuária Sul. |
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Registros recuperados : 42 | |
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