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| Registros recuperados : 27 | |
| 8. |  | CAMPOS, G. S.; BOLIGON, A. A.; YOKOO, M. J. I.; SOLLERO, B. P.; BRACCINI NETO, J.; CARDOSO, F. F. Acurácia da seleção genômica para características de crescimento e escores visuais ao sobreano em bovinos Hereford e Braford. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 11., 2015, Santa Maria, RS. Melhoramento animal da academia ao campo: uma parceria em construção: anais. Santa Maria, RS: SBMA: UFSM, 2015.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 9. | | SCHMIDT, P. I.; CAMPOS, G. S.; CAETANO, V. O.; SIMÕES, M. S.; BOLIGON, A. A.; YOKOO, M. J. I. Análise genética de características relacionadas ao crescimento, temperamento e resistência a parasitas na raça Brangus. In: ENCONTRO DE PÓS-GRADUAÇÃO, 20.; SEMANA INTEGRADA DE ENSINO, PESQUISA E EXTENSÃO, 4., 2018, Pelotas. Anais eletrônicos... Pelotas: UFPel, 2018. ENPOS.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 10. | | REIMANN, F. A.; BOLIGON, A. A.; CAMPOS, G. S.; CARDOSO, L. L.; JUNQUEIRA, V. S.; CARDOSO, F. F. Genetic parameters and accuracy of traditional and genomic breeding values for eye pigmentation, hair coat and breed standard in Hereford and Braford cattle. Livestock Science, v. 213, p. 44-50, July 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 11. | | KERN, E. L.; COBUCI, J. A.; COSTA, C. N.; BRACCINI NETO, J.; CAMPOS, G. S.; MCMANUS, C. M. Genetic parameters for longevity measures in Brazilian Holstein cattle using linear and threshold models. Archiv fur Tierzucht, v. 57, n. 33, p. 1-12, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | SCHMIDT, P. I.; CAMPOS, G. S.; CAETANO, V. O.; SIMÕES, M. S.; YOKOO, M. J. I.; BOLIGON, A. A. Índices econômicos de seleção para bovinos da raça Brangus. In: CONGRESSO DE INICIAÇÃO CIENTÍFICA, 27.; SEMANA INTEGRADA DE ENSINO, PESQUISA E EXTENSÃO, 4., 2018, Pelotas. Anais eletrônicos... Pelotas: UFPel, 2018. CIC.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 13. | | CAMPOS, G. S.; TIMPANI, V. D.; COLLARES, R. S.; GENRO, T. C. M.; SUÑÉ, R. W.; YOKOO, M. J. I.; CARVALHO, H. G. de; CARDOSO, F. F. Avaliação genômica para características ligadas à eficiência alimentar em bovinos da raça Angus. Bagé: Embrapa Pecuária Sul, 2023. 40 p. (Embrapa Pecuária Sul. Documentos, 170). Publicado também como impresso. ODS 2, ODS 12.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 14. | | KERN, E. L.; COBUCI, J. A.; COSTA, C. N.; MCMANUS, C. M.; CAMPOS, G. S.; ALMEIDA, T. P.; CAMPOS, R. V. Genetic association between herd survival and linear type traits in Holstein cows under tropical conditions. Italian Journal of Animal Science, v. 13, p. 665-672, 2014.| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | CAMPOS, G. S.; BRACCINI NETO, J.; OAIGEN, R. P.; CARDOSO, F. F.; COBUCI, J. A.; KERN, E. L.; CAMPOS, L. T.; BERTOLI, C. D.; McMANUS, C. M. Bioeconomic model and selection indices in Aberdeen Angus cattle. Journal of Animal Breeding and Genetics, Berlin, v. 131, n. 4, p. 305?312, Aug. 2014.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 16. | | CAMPOS, G. S.; REIMANN, F. A.; SCHIMDT, P. I.; CARDOSO, L. L.; SOLLERO, B. P.; BRACCINI, J.; YOKOO, M. J. I.; BOLIGON, A. A.; CARDOSO, F. F. Threshold and linear models for genetic evaluation of visual scores in Hereford and Braford cattle. Animal Production Science, v. 59, n. 4, p. 619-627, 2019.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 17. | | CAMPOS, G. S.; SOLLERO, B. P.; REIMANN, F. A.; JUNQUEIRA, V. S.; CARDOSO, L. L.; YOKOO, M. J. I.; BOLIGON, A. A.; BRACCINI, J.; CARDOSO, F. F. Tag-SNP selection using Bayesian genomewide association study for growth traits in Hereford and Braford cattle. Journal of Animal Breeding and Genetics, v. 137, n. 5, p. 449-467, Sept. 2020.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 18. | | CARDOSO, F. F.; MATIKA, O.; DJIKENG, A.; MAPHOLI, N.; BURROW, H. M.; YOKOO, M. J. I.; CAMPOS, G. S.; GULIAS GOMES, C. C.; RIGGIO, V.; PONG-WONG, R.; ENGLE, B.; PORTO-NETO, L.; MAIWASHE, A.; HAYES, B. J. Multiple country and breed genomic prediction of tick resistance in beef cattle. Frontiers in Immunology, v. 12, 620847, June 2021.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 19. | | CAMPOS, G. S.; CARDOSO, F. F.; GULIAS GOMES, C. C.; DOMINGUES, R.; REGITANO, L. C. de A.; OLIVEIRA, M. C. de S.; OLIVEIRA, H. N. DE; CARVALHEIRO, R.; ALBUQUERQUE, L. G.; MILLER, S.; MISTZAL, I.; LOURENCO, D. Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related american sires. Journal of Animal Science, v. 100, n. 2, p. 1-13, Feb. 2022. skac009.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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| 20. | | CARDOSO, F. F.; REIMANN, F. A.; YOKOO, M. J. I.; GULIAS GOMES, C. C.; SOLLERO, B. P.; CAMPOS, G. S.; ROSO, V. M.; BRITO, F. V.; CAETANO, A. R. Selección genómica para mejorar la adaptación tropical de la raza Hereford. Anuario Hereford, Montevideo, p. 146-152, 2017. Também publicada em português no VI Congreso da Asociación Uruguaya de Producción Animal, março de 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| Registros recuperados : 27 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
24/07/2019 |
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Data da última atualização: |
01/10/2019 |
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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: |
CAMPOS, G. S.; REIMANN, F. A.; SCHIMDT, P. I.; CARDOSO, L. L.; SOLLERO, B. P.; BRACCINI, J.; YOKOO, M. J. I.; BOLIGON, A. A.; CARDOSO, F. F. |
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Afiliação: |
G. S. Campos, UFPEL; F. A. Reimann, UFPEL; P. I. Schimdt, UFPEL; L. L. Cardoso; BRUNA PENA SOLLERO, CPPSUL; J. Braccini, UFRGS; MARCOS JUN ITI YOKOO, CPPSUL; A. A. Boligon, UFPEL; FERNANDO FLORES CARDOSO, CPPSUL. |
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Título: |
Threshold and linear models for genetic evaluation of visual scores in Hereford and Braford cattle. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Animal Production Science, v. 59, n. 4, p. 619-627, 2019. |
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DOI: |
doi.org/10.1071/AN17436 |
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Idioma: |
Inglês |
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Conteúdo: |
Data from 127 539 Hereford and Braford cattle were used to compare estimates of genetic parameters for navel, conformation, precocity, muscling and size visual scores at yearling, using linear and threshold animal models. In a second step, these models were cross-validated using a multinomial logistic regression in order to quantify the association between phenotype and genetic merit for each trait. For navel score, higher heritability was obtained with the threshold model (0.42 ± 0.02) in relation to the linear model (0.22 ± 0.02). However, similar heritability was estimated in both models for conformation, precocity, muscling and size, with values of 0.18 ± 0.01, 0.19 ± 0.01, 0.19 ± 0.01 and 0.26 ± 0.01, respectively, using linear model, and of 0.19 ± 0.01, 0.19 ± 0.01, 0.20 ± 0.01, and 0.29 ± 0.01, respectively, using threshold model. For navel score, Spearman correlations between sires? breeding values predicted using linear and threshold models ranged from 0.60 (1% of the best sires are selected) to 0.96 (all sires are selected). For conformation, precocity, muscling and size scores, low changes in sires? rank are expected using these models (Spearman correlations >0.86), regardless of the proportion of sires selected. Except for navel with the linear model, the direction of the associations between phenotype and genetic merit were in accordance with its expectation, as there were increases in the phenotype per unit of change in the breeding value. Thus, the threshold model would be recommended to perform genetic evaluation of navel score in this population. However, linear and threshold models showed similar predictive ability for conformation, precocity, muscling and size scores. MenosData from 127 539 Hereford and Braford cattle were used to compare estimates of genetic parameters for navel, conformation, precocity, muscling and size visual scores at yearling, using linear and threshold animal models. In a second step, these models were cross-validated using a multinomial logistic regression in order to quantify the association between phenotype and genetic merit for each trait. For navel score, higher heritability was obtained with the threshold model (0.42 ± 0.02) in relation to the linear model (0.22 ± 0.02). However, similar heritability was estimated in both models for conformation, precocity, muscling and size, with values of 0.18 ± 0.01, 0.19 ± 0.01, 0.19 ± 0.01 and 0.26 ± 0.01, respectively, using linear model, and of 0.19 ± 0.01, 0.19 ± 0.01, 0.20 ± 0.01, and 0.29 ± 0.01, respectively, using threshold model. For navel score, Spearman correlations between sires? breeding values predicted using linear and threshold models ranged from 0.60 (1% of the best sires are selected) to 0.96 (all sires are selected). For conformation, precocity, muscling and size scores, low changes in sires? rank are expected using these models (Spearman correlations >0.86), regardless of the proportion of sires selected. Except for navel with the linear model, the direction of the associations between phenotype and genetic merit were in accordance with its expectation, as there were increases in the phenotype per unit of change in the breeding value. Thus, the thres... Mostrar Tudo |
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Palavras-Chave: |
Inferência bayesiana. |
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Thesagro: |
Criação; Gado de Corte; Melhoramento Genético Animal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02568naa a2200277 a 4500
001 2110830
005 2019-10-01
008 2019 bl uuuu u00u1 u #d
024 7 $adoi.org/10.1071/AN17436$2DOI
100 1 $aCAMPOS, G. S.
245 $aThreshold and linear models for genetic evaluation of visual scores in Hereford and Braford cattle.$h[electronic resource]
260 $c2019
520 $aData from 127 539 Hereford and Braford cattle were used to compare estimates of genetic parameters for navel, conformation, precocity, muscling and size visual scores at yearling, using linear and threshold animal models. In a second step, these models were cross-validated using a multinomial logistic regression in order to quantify the association between phenotype and genetic merit for each trait. For navel score, higher heritability was obtained with the threshold model (0.42 ± 0.02) in relation to the linear model (0.22 ± 0.02). However, similar heritability was estimated in both models for conformation, precocity, muscling and size, with values of 0.18 ± 0.01, 0.19 ± 0.01, 0.19 ± 0.01 and 0.26 ± 0.01, respectively, using linear model, and of 0.19 ± 0.01, 0.19 ± 0.01, 0.20 ± 0.01, and 0.29 ± 0.01, respectively, using threshold model. For navel score, Spearman correlations between sires? breeding values predicted using linear and threshold models ranged from 0.60 (1% of the best sires are selected) to 0.96 (all sires are selected). For conformation, precocity, muscling and size scores, low changes in sires? rank are expected using these models (Spearman correlations >0.86), regardless of the proportion of sires selected. Except for navel with the linear model, the direction of the associations between phenotype and genetic merit were in accordance with its expectation, as there were increases in the phenotype per unit of change in the breeding value. Thus, the threshold model would be recommended to perform genetic evaluation of navel score in this population. However, linear and threshold models showed similar predictive ability for conformation, precocity, muscling and size scores.
650 $aCriação
650 $aGado de Corte
650 $aMelhoramento Genético Animal
653 $aInferência bayesiana
700 1 $aREIMANN, F. A.
700 1 $aSCHIMDT, P. I.
700 1 $aCARDOSO, L. L.
700 1 $aSOLLERO, B. P.
700 1 $aBRACCINI, J.
700 1 $aYOKOO, M. J. I.
700 1 $aBOLIGON, A. A.
700 1 $aCARDOSO, F. F.
773 $tAnimal Production Science$gv. 59, n. 4, p. 619-627, 2019.
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