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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. | | 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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| 11. | | 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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| 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.; 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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| 14. | | 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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| 15. | | 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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| 16. | | 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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| 17. | | 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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| 18. | | FERREIRA, C. E. R.; CAMPOS, G. S.; SCHMIDT, P. I.; SOLLERO, B. P.; GOULARTE, K. L.; CORCINI, C. D.; GASPERIN, B. G.; LUCIA JUNIOR, T.; BOLIGON, A. A.; CARDOSO, F. F. Genome-wide association and genomic prediction for scrotal circumference in Hereford and Braford bulls. Theriogenology, v. 172, p. 268-280, Sept. 2021.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 19. | | CAMPOS, G. S.; REIMANN, F. A.; CARDOSO, L. L.; FERREIRA, C. E. R.; JUNQUEIRA, V. S.; SCHMIDT, P. I.; BRACCINI NETO, J.; YOKOO, M. J. I.; SOLLERO, B. P.; BOLIGON, A. A.; CARDOSO, F. F. Genomic prediction using different estimation methodology, blending and cross-validation techniques for growth traits and visual scores in Hereford and Braford cattle. Journal of Animal Science, v.96, n. 7, p. 2579-2595, June 2018.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 20. | | 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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| Registros recuperados : 27 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
09/11/2018 |
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Data da última atualização: |
09/11/2018 |
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Tipo da produção científica: |
Orientação de Tese de Pós-Graduação |
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Autoria: |
CAMPOS, G. S. |
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Afiliação: |
Gabriel Soares Campos, UFPEL. |
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Título: |
Seleção e associação genômica ampla para características de crescimento e escores visuais em bovinos da raça Hereford e Braford. |
|
Ano de publicação: |
2017 |
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Fonte/Imprenta: |
2017. |
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Páginas: |
147 f. |
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Idioma: |
Português |
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Notas: |
Tese (Doutorado em Zootecnia) - Universidade Federal de Pelotas, Pelotas. Orientador: Fernando Flores Cardoso. |
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Conteúdo: |
This thesis was structured in three chapters. In the first one, the genetic parameters were estimated using linear and threshold models for the traits of visual scores and also the cross validation and multinomial regression were used for validation of the models. There was no difference in the parameter estimation when the scores had normal distribution, such as for conformation, precocity, musculature and size. Heritability values (h2) ranged from 0.18 to 0.26 with the linear model and from 0.19 to 0.29 with the threshold. However, when the score had no normal distribution, such as navel, there were advantages in using the threshold model, with a h2 value of 0.42 and a linear model of 0.22. The second study aimed to evaluate the accuracy genomic predictions using different methods, for growth traits and visual scores obtained at weaning and yearling in cattle of the Hereford and Braford breeds. Phenotype data 126,290 animals belonging to the Delta G Connection breeding program and a set of 3,552 genotyped animals were used. The GBLUP, BayesB and BayesC methods were tested and higher accuracy were obtained with Bayesian methods. For the growth traits, greater gain in accuracy compared to the traditional method (BLUP) was with the BayesB methodology for birth weight (BW) of 23.8%, and for the visual scores it was for size at the yearling (SY), of 29.8% with the BayesB and BayesC methods. For the approaches combining all sources of information, greater gains were obtained with the single-step ssGBLUP methodology. Among all the characteristics, for weaning measures, the average gain was 40.7% for the weaning measures and 36.7% for yearling. Lower prediction accuracy was observed in the groups containing only Hereford cattle, indicating that the training set composed of the majority of Braford animals will not estimate accurate predictions for the Hereford in the validation set. The third study aimed to perform a genome wide association study (GWAS) using Bayesian methodology to identify the most representative genomic regions and SNPs associated with growth traits. It was selected the most representative windows and the SNPs that explained more than 20% of the genetic variance estimated for the traits studied. After this selection, the most informative SNPs regarding parameters, model frequency (MF), t-like (TL), linkage disequilibrium (DL) and minor allele frequency (MAF) were used in a panel of low density. Reduced panel accuracy was estimated from crossvalidation, using k-means and random clustering methods. Higher accuracy estimates were obtained for weaning characteristics. Greater gains in accuracy can be obtained if more animals are genotyped and phenotyped. These panels may be useful for future studies related to fine mapping for the discovery of causal variants and are an interesting alternative for reducing the costs of genotyping and implementation of genomic selection. MenosThis thesis was structured in three chapters. In the first one, the genetic parameters were estimated using linear and threshold models for the traits of visual scores and also the cross validation and multinomial regression were used for validation of the models. There was no difference in the parameter estimation when the scores had normal distribution, such as for conformation, precocity, musculature and size. Heritability values (h2) ranged from 0.18 to 0.26 with the linear model and from 0.19 to 0.29 with the threshold. However, when the score had no normal distribution, such as navel, there were advantages in using the threshold model, with a h2 value of 0.42 and a linear model of 0.22. The second study aimed to evaluate the accuracy genomic predictions using different methods, for growth traits and visual scores obtained at weaning and yearling in cattle of the Hereford and Braford breeds. Phenotype data 126,290 animals belonging to the Delta G Connection breeding program and a set of 3,552 genotyped animals were used. The GBLUP, BayesB and BayesC methods were tested and higher accuracy were obtained with Bayesian methods. For the growth traits, greater gain in accuracy compared to the traditional method (BLUP) was with the BayesB methodology for birth weight (BW) of 23.8%, and for the visual scores it was for size at the yearling (SY), of 29.8% with the BayesB and BayesC methods. For the approaches combining all sources of information, greater gains were obtained wit... Mostrar Tudo |
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Palavras-Chave: |
Modelo Bayesiano; Predição genômica; Validação cruzada. |
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Thesagro: |
Bovino; Gado de Corte; Genoma; Método Estatístico. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/185698/1/Campos-tese2017.pdf
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Marc: |
LEADER 03672nam a2200217 a 4500
001 2099079
005 2018-11-09
008 2017 bl uuuu m 00u1 u #d
100 1 $aCAMPOS, G. S.
245 $aSeleção e associação genômica ampla para características de crescimento e escores visuais em bovinos da raça Hereford e Braford.$h[electronic resource]
260 $a2017.$c2017
300 $a147 f.
500 $aTese (Doutorado em Zootecnia) - Universidade Federal de Pelotas, Pelotas. Orientador: Fernando Flores Cardoso.
520 $aThis thesis was structured in three chapters. In the first one, the genetic parameters were estimated using linear and threshold models for the traits of visual scores and also the cross validation and multinomial regression were used for validation of the models. There was no difference in the parameter estimation when the scores had normal distribution, such as for conformation, precocity, musculature and size. Heritability values (h2) ranged from 0.18 to 0.26 with the linear model and from 0.19 to 0.29 with the threshold. However, when the score had no normal distribution, such as navel, there were advantages in using the threshold model, with a h2 value of 0.42 and a linear model of 0.22. The second study aimed to evaluate the accuracy genomic predictions using different methods, for growth traits and visual scores obtained at weaning and yearling in cattle of the Hereford and Braford breeds. Phenotype data 126,290 animals belonging to the Delta G Connection breeding program and a set of 3,552 genotyped animals were used. The GBLUP, BayesB and BayesC methods were tested and higher accuracy were obtained with Bayesian methods. For the growth traits, greater gain in accuracy compared to the traditional method (BLUP) was with the BayesB methodology for birth weight (BW) of 23.8%, and for the visual scores it was for size at the yearling (SY), of 29.8% with the BayesB and BayesC methods. For the approaches combining all sources of information, greater gains were obtained with the single-step ssGBLUP methodology. Among all the characteristics, for weaning measures, the average gain was 40.7% for the weaning measures and 36.7% for yearling. Lower prediction accuracy was observed in the groups containing only Hereford cattle, indicating that the training set composed of the majority of Braford animals will not estimate accurate predictions for the Hereford in the validation set. The third study aimed to perform a genome wide association study (GWAS) using Bayesian methodology to identify the most representative genomic regions and SNPs associated with growth traits. It was selected the most representative windows and the SNPs that explained more than 20% of the genetic variance estimated for the traits studied. After this selection, the most informative SNPs regarding parameters, model frequency (MF), t-like (TL), linkage disequilibrium (DL) and minor allele frequency (MAF) were used in a panel of low density. Reduced panel accuracy was estimated from crossvalidation, using k-means and random clustering methods. Higher accuracy estimates were obtained for weaning characteristics. Greater gains in accuracy can be obtained if more animals are genotyped and phenotyped. These panels may be useful for future studies related to fine mapping for the discovery of causal variants and are an interesting alternative for reducing the costs of genotyping and implementation of genomic selection.
650 $aBovino
650 $aGado de Corte
650 $aGenoma
650 $aMétodo Estatístico
653 $aModelo Bayesiano
653 $aPredição genômica
653 $aValidação cruzada
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