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| Registros recuperados : 109 | |
| 5. |  | PADILHA, A. H.; COBUCI, J. A.; DALTRO, D. dos S.; BRACCINI NETO, J. Reability of breeding values between random regression and 305-day lactation models. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 11, p. 1848-1856, nov. 2016. Título em português: Confiabilidade de valores genéticos entre modelos de regressão aleatória e de lactação aos 305 dias.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 14. | | CAMPOS, R. V.; COBUCI, J. A.; KERN, E. L.; COSTA, C. N.; McMANUS, C. M. Genetic parameters for linear type traits and milk, fat, and protein production in holstein cows in Brazil. Asian-Australasian Journal of Animal Sciences, v. 28, n. 4, p. 476-484, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | COBUCI, J. A.; FREITAS, A. F. de; COSTA, C. N.; BRACCINI NETO, J. Correlações genética e ambiental entre características de tipo e produções de gordura e proteína em vaca da raça Holandesa no Brasil. In: REUNIÓN ASOCIACÓN LATINOAMERICANA DE PRODUCCIÓN ANIMAL, 20., REUNIÓN ASOCIACIÓN PERUANA DE PRODUCCIÓN ANIMAL, 30., CONGRESO INTERNACIONAL DE GANADERIA DOBLE PROPOSITO, 5., 2007, Cuzco. Anais... Cuzco: ALPA/APPA, 2007. 1 CD.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 109 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
12/09/2021 |
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Data da última atualização: |
29/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
DALTRO, D. dos S.; AMBROSINI, D. P.; NEGRI, R.; SILVA, M. V. G. B.; COBUCI, J. A. |
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Afiliação: |
DARLENE DOS SANTOS DALTRO, Universidade Federal do Rio Grande do Sul; DIEGO PAGUNG AMBROSINI, Instituto Federal do Amapá; RENATA NEGRI, Universidade Federal do Rio Grande do Sul; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JAIME ARAÚJO COBUCI, Universidade Federal do Rio Grande do Sul. |
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Título: |
Homoscedastic or heteroscedastic inference in the genetic evaluation of a multi-breed dairy cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Livestock Science, v. 250, 104567, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective was to identify the best multi-breed model for the genetic evaluation of test-day milk yield (TDMY) in a Girolando population. The observations were measured from 2000 to 2014, totaling 122,507 observations of 13,544 first-lactation cows and a complete kinship matrix of 66,384 animals. Four different methodologies were evaluated: homoscedastic or heteroscedastic multi-breed model with Gaussian destruction (MAM-G-Ho or MAMG-He) and homoscedastic or heteroscedastic multi-breed model with Student?s t-distribution (MAM-T-Ho or MAM-T-He). The criteria for choosing the best model were the deviance information criterion (DIC), deviance based on the Conditional Predictive Ordinate (DCPO), and deviance based on the Bayes factors (DBF). According to the selection criteria, the MAM-T-He presented the lowest values of DIC, DCPO, and DBF, indicating a better quality of fit for the population in question. Heritability estimates were of medium magnitude for TDMY, varying from 0.27±0.02 to 0.39±0.03 in the different models. Spearman?s correlations based on estimated breeding values used to compare the ranking of animals between Student?s t and Gaussian models were low (0.63 to 0.72) when considering all sires or when considering 10, 20, or 30% of the best sires. These results support the implementation of robust models that account for sources of heteroscedasticity to increase the accuracy of genetic evaluations in the multi-breed population of the Girolando breed. |
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Palavras-Chave: |
Correlação de Spearman; Herdabilidade; Modelo multi-raças. |
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Thesagro: |
Gado Leiteiro; Genética Animal; Vaca Leiteira. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02203naa a2200241 a 4500
001 2134247
005 2021-12-29
008 2021 bl uuuu u00u1 u #d
100 1 $aDALTRO, D. dos S.
245 $aHomoscedastic or heteroscedastic inference in the genetic evaluation of a multi-breed dairy cattle.$h[electronic resource]
260 $c2021
520 $aThe objective was to identify the best multi-breed model for the genetic evaluation of test-day milk yield (TDMY) in a Girolando population. The observations were measured from 2000 to 2014, totaling 122,507 observations of 13,544 first-lactation cows and a complete kinship matrix of 66,384 animals. Four different methodologies were evaluated: homoscedastic or heteroscedastic multi-breed model with Gaussian destruction (MAM-G-Ho or MAMG-He) and homoscedastic or heteroscedastic multi-breed model with Student?s t-distribution (MAM-T-Ho or MAM-T-He). The criteria for choosing the best model were the deviance information criterion (DIC), deviance based on the Conditional Predictive Ordinate (DCPO), and deviance based on the Bayes factors (DBF). According to the selection criteria, the MAM-T-He presented the lowest values of DIC, DCPO, and DBF, indicating a better quality of fit for the population in question. Heritability estimates were of medium magnitude for TDMY, varying from 0.27±0.02 to 0.39±0.03 in the different models. Spearman?s correlations based on estimated breeding values used to compare the ranking of animals between Student?s t and Gaussian models were low (0.63 to 0.72) when considering all sires or when considering 10, 20, or 30% of the best sires. These results support the implementation of robust models that account for sources of heteroscedasticity to increase the accuracy of genetic evaluations in the multi-breed population of the Girolando breed.
650 $aGado Leiteiro
650 $aGenética Animal
650 $aVaca Leiteira
653 $aCorrelação de Spearman
653 $aHerdabilidade
653 $aModelo multi-raças
700 1 $aAMBROSINI, D. P.
700 1 $aNEGRI, R.
700 1 $aSILVA, M. V. G. B.
700 1 $aCOBUCI, J. A.
773 $tLivestock Science$gv. 250, 104567, 2021.
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