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| Registros recuperados : 8 | |
| 3. |  | BRITO, L. C.; CASELLAS, J.; VARONA, L; LOPES, P. S.; VENTURA, H. T.; PEIXOTO, M. G. C. D.; LÁZARO, S. F.; SILVA, F. F. Genetic evaluation of age at first calving for Guzerá beef cattle using linear, threshold, and survival Bayesian models. Journal of Animal Science, v. 96, n. 7, p. 2517-2524, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | 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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| 5. | | VERARDO, L. L.; SILVA, F. F.; VARONA, L.; RESENDE, M. D. V. de; BASTIAANSEN, J. W. M.; LOPES, P. S.; GUIMARÃES, S. E. F. Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs. Journal of Applied Genetics, v. 56, n. 1, p. 123-132, Feb. 2015.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | ARBEX, W. A.; SILVA, F. F. e; SILVA, M. V. G. B.; BORGES, C. C. H.; OLIVEIRA, F. C. de; VARONA, L.; VERNEQUE, R. da S. Decision Support in Attribute Selection with Machine Learning Approach. In: CONFERENCIA IBÉRICA DE SISTEMAS Y TECNOLOGÍAS DE INFORMACION, 9., 2014, Barcelona. Actas... Barcelona: Aisti; Salle, 2014. CISTI 2014| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SILVA, F. F. e; ZAMBRANO, M. F. B.; VARONA, L.; GLÓRIA, L. S.; LOPES, P. S.; SILVA, M. V. G. B.; ARBEX, W. A.; LÁZARO, S. F.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F. Genome association study through nonlinear mixed models revealed new candidate genes for pig growth curves. Scientia Agricola, v. 74, n. 1, 2017. 7 P.| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Leite. |
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| Registros recuperados : 8 | |
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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
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
17/12/2018 |
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Data da última atualização: |
09/02/2024 |
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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: |
BRITO, L. C.; CASELLAS, J.; VARONA, L; LOPES, P. S.; VENTURA, H. T.; PEIXOTO, M. G. C. D.; LÁZARO, S. F.; SILVA, F. F. |
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Afiliação: |
Lais C Brito, UFV; Universidade Federal Rural da Amazônia; Joaquim Casellas, Universitat Autonoma de Barcelona; Luis Varona, Universidad de Zaragoza; Instituto Agroalimentario de Aragon; Paulo S Lopes, UFV; Henrique T Ventura, ABCZ; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; Sirlene F Lázaro, UFV; Fabyano F Silva, UFV. |
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Título: |
Genetic evaluation of age at first calving for Guzerá beef cattle using linear, threshold, and survival Bayesian models. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Animal Science, v. 96, n. 7, p. 2517-2524, 2018. |
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DOI: |
https://doi.org/10.1093/jas/sky112 |
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Idioma: |
Inglês |
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Conteúdo: |
Age at first calving (AFC) is characterized as a censored trait due to missing values provided by recording mistakes and nonoccurrence or delay in calving communication. In this context, we aimed to compare several statistical methods for genetic evaluation of AFC in Guzerá beef cattle under a Bayesian approach. Seven different methods were used for this purpose. The traditional linear mixed model (LM), which considers only uncensored records; the LM with simulated records (SM), which is based on data augmentation framework; the penalty method, in which a constant of 21 d was added to censored records; the bivariate threshold-linear method considering (TLcens) or not (TLmiss) censored information; and the piecewise Weibull proportional hazards model considering (PWPHcens) or not (PWPH) censored records. Heritability estimates ranged from 0.19 (TLcens) to 0.28 (SM) in nonsurvival approaches; and 0.40 and 0.46 to PWPH and PWPHcens methods, respectively. In general, breeding values correlations between different methods and the percentage of selected bulls in common indicated reranking, with these correlation ranging from -0.28 (between SM and PWPH) to 0.99 (between TLmiss and LM). The traditional LM, which considers only uncensored records, should be preferred due to its robustness and simplicity. Based on cross-validation analyses, we conclude that the TLmiss could be also a suitable alternative for breeding value prediction, and censored methods did not improve the analysis. |
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Palavras-Chave: |
Censored data; Survival analysis; Threshold-linear models. |
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Thesaurus NAL: |
Beef cattle. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02326naa a2200265 a 4500
001 2101745
005 2024-02-09
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1093/jas/sky112$2DOI
100 1 $aBRITO, L. C.
245 $aGenetic evaluation of age at first calving for Guzerá beef cattle using linear, threshold, and survival Bayesian models.$h[electronic resource]
260 $c2018
520 $aAge at first calving (AFC) is characterized as a censored trait due to missing values provided by recording mistakes and nonoccurrence or delay in calving communication. In this context, we aimed to compare several statistical methods for genetic evaluation of AFC in Guzerá beef cattle under a Bayesian approach. Seven different methods were used for this purpose. The traditional linear mixed model (LM), which considers only uncensored records; the LM with simulated records (SM), which is based on data augmentation framework; the penalty method, in which a constant of 21 d was added to censored records; the bivariate threshold-linear method considering (TLcens) or not (TLmiss) censored information; and the piecewise Weibull proportional hazards model considering (PWPHcens) or not (PWPH) censored records. Heritability estimates ranged from 0.19 (TLcens) to 0.28 (SM) in nonsurvival approaches; and 0.40 and 0.46 to PWPH and PWPHcens methods, respectively. In general, breeding values correlations between different methods and the percentage of selected bulls in common indicated reranking, with these correlation ranging from -0.28 (between SM and PWPH) to 0.99 (between TLmiss and LM). The traditional LM, which considers only uncensored records, should be preferred due to its robustness and simplicity. Based on cross-validation analyses, we conclude that the TLmiss could be also a suitable alternative for breeding value prediction, and censored methods did not improve the analysis.
650 $aBeef cattle
653 $aCensored data
653 $aSurvival analysis
653 $aThreshold-linear models
700 1 $aCASELLAS, J.
700 1 $aVARONA, L
700 1 $aLOPES, P. S.
700 1 $aVENTURA, H. T.
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aLÁZARO, S. F.
700 1 $aSILVA, F. F.
773 $tJournal of Animal Science$gv. 96, n. 7, p. 2517-2524, 2018.
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