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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. |
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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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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: |
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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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
03/01/2005 |
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Data da última atualização: |
06/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MARTINS, A. A. E.; GHEYI, H. R.; FAGERIA, N. K. |
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Afiliação: |
A. A. E. MARTINS; H. R. GHEYI; NAND KUMAR FAGERIA, CNPAF. |
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Título: |
Efeitos da temperatura no crescimento, componentes de produção e rendimentos de arroz (Oryza sativa L.) irrigado. |
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Ano de publicação: |
1981 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 5, n. 1, p. 42-46, jan./abr. 1981. |
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ISSN: |
0100-0683 |
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Idioma: |
Português |
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Conteúdo: |
O texto teve como objetivo determinar os efeitos das altas temperaturas na cultura de arroz (Oryza sativa L. cv. Cica 4) irrigado, montou-se um experimento em casa de vegetação, submetendo-se as plantas a temperaturas máximas de água de, 35, 40 e 45°C. Os números de perfilhos, altura das plantas, comprimento da raiz e peso seco da parte aérea, decresceram significativamente quando a temperatura foi superior a 40ºC. Da mesma maneira, número de películas, peso de cem grãos e peso total de grãos também foram afetados por consequência das altas temperaturas. Constatou-se que as plantas de arroz podem tolerar temperaturas máximas de água até 35º e que, acima desse limite, a produção diminui drasticamente. |
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Palavras-Chave: |
Maranhão. |
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Thesagro: |
Arroz; Arroz Irrigado; Irrigação; Oryza Sativa; Produção; Rendimento; Solo; Temperatura. |
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Thesaurus NAL: |
Rice; Soil; Temperature; Yields. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216475/1/CNPAF-1981-rbcs.pdf
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Marc: |
LEADER 01567naa a2200313 a 4500
001 1212851
005 2024-03-06
008 1981 bl uuuu u00u1 u #d
022 $a0100-0683
100 1 $aMARTINS, A. A. E.
245 $aEfeitos da temperatura no crescimento, componentes de produção e rendimentos de arroz (Oryza sativa L.) irrigado.
260 $c1981
520 $aO texto teve como objetivo determinar os efeitos das altas temperaturas na cultura de arroz (Oryza sativa L. cv. Cica 4) irrigado, montou-se um experimento em casa de vegetação, submetendo-se as plantas a temperaturas máximas de água de, 35, 40 e 45°C. Os números de perfilhos, altura das plantas, comprimento da raiz e peso seco da parte aérea, decresceram significativamente quando a temperatura foi superior a 40ºC. Da mesma maneira, número de películas, peso de cem grãos e peso total de grãos também foram afetados por consequência das altas temperaturas. Constatou-se que as plantas de arroz podem tolerar temperaturas máximas de água até 35º e que, acima desse limite, a produção diminui drasticamente.
650 $aRice
650 $aSoil
650 $aTemperature
650 $aYields
650 $aArroz
650 $aArroz Irrigado
650 $aIrrigação
650 $aOryza Sativa
650 $aProdução
650 $aRendimento
650 $aSolo
650 $aTemperatura
653 $aMaranhão
700 1 $aGHEYI, H. R.
700 1 $aFAGERIA, N. K.
773 $tRevista Brasileira de Ciência do Solo$gv. 5, n. 1, p. 42-46, jan./abr. 1981.
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Embrapa Arroz e Feijão (CNPAF) |
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