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3. | | SOUZA, I.; SOARES, J.; VENTURA, R.; PEIXOTO, R.; SANTO, I. P.; BAVAY, C.; LUZ, L. DIPUC - Diagnóstico participativo de unidades de conservação. In: CONGRESSO BRASILEIRO DE UNIDADES DE CONSERVAÇÃO, 3., 2002, Fortaleza. Anais. Fortaleza: Rede Nacional Pró-Unidades de Conservação: Fundação O Boticário de Proteção à Natureza, 2002. p. 3-12. Trabalhos técnicos. Biblioteca(s): Embrapa Florestas. |
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5. | | 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. Biblioteca(s): Embrapa Suínos e Aves. |
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7. | | 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. Biblioteca(s): Embrapa Gado de Leite. |
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10. | | 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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11. | | FREITAS, L. S.; SILVA, M. A.; VERNEQUE, R. 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. 1 CD. Biblioteca(s): Embrapa Gado de Leite. |
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12. | | 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-ROM Biblioteca(s): Embrapa Pecuária Sudeste. |
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13. | | 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. Biblioteca(s): Embrapa Gado de Leite. |
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14. | | 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. Biblioteca(s): Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia. |
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15. | | 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. Biblioteca(s): Embrapa Pecuária Sudeste. |
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17. | | 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-ROM Biblioteca(s): Embrapa Pecuária Sudeste. |
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18. | | 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. Biblioteca(s): Embrapa Pecuária Sudeste. |
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19. | | 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. Biblioteca(s): Embrapa Gado de Corte. |
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20. | | 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. Biblioteca(s): Embrapa Gado de Corte. |
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Registros recuperados : 47 | |
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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
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 |
Circulação/Nível: |
B - 1 |
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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