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| Registros recuperados : 219 | |
| 3. |  | MOREIRA, R.; BRIGHENTI, C.; PANETTO, J. C. do C.; RESENDE, J. C. de. Método Bayesiano no ajuste do modelo de Wood para curva de lactação do gado Gir. Revista da Estatística da Universidade Federal de Ouro Preto, v. 3, n. 3, p. 531-535, 2014. Edição dos resumos expandidos da 59a Reunião Anual da Regional Brasileira da Sociedade Internacional de Biometria, 2014, Ouro Preto.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | SILVA, M. V. G. B.; MACHADO, M. A.; PANETTO, J. C. do C.; MARTINS, M. F. Inovações nos programas de melhoramento de bovinos de leite com foco em genômica. In: VILELA, D.; FERREIRA, R. de P.; FERNANDES, E. N.; JUNTOLLI, F. V. (Ed.). Pecuária de leite no Brasil: cenários e avanços tecnológicos. Brasília, DF: Embrapa, 2016. p. 345-357.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SILVA, M. V. G. B.; VERARDO, L. L.; MACHADO, M. A.; PANETTO, J. C. do C.; CAROLINO, I.; CAROLINO, N. Candidate genes for disease, reproduction and meat quality traits in Portuguese native breeds. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 12., 2022, Rotterdam. Proceedings... Rotterdam: [s.n.], 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | VERNEQUE, R. da S.; VERONEZE, R.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; TORAL, F. L. B. A contribuição do melhoramento animal para a pecuária de leite. In: VILELA, D.; FERREIRA, R. de P.; FERNANDES, E. N.; JUNTOLLI, F. V. (Ed.). Pecuária de leite no Brasil: cenários e avanços tecnológicos. Brasília, DF: Embrapa, 2016. p. 255-264.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | CARVALHO, N. S.; DALTRO, D. S.; MACHADO, J. D.; CAMARGO, E. V.; PANETTO, J. C. do C.; COBUCI, J. A. Genetic parameters and genetic trends of conformation and management traits in Dairy Gir cattle. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 73, n. 4, p. 938-948, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | PACHECO, G. B.; NASCIMENTO, G. C.; PINHEIRO, R.; TEIXEIRA, R. B.; VERNEQUE, R. da S.; PANETTO, J. C. do C. Genetic parameters of milk production in gyr dairy cattle (Bos indicus). In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 365-368| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | SANTOS, D. J. DE A.; PEIXOTO, M. G. C. D.; VERNEQUE, R. da S.; PANETTO, J. C. do C.; RUSBEL, R. A. B.; CAMARGO, G. M.; TONHATI, H. Acuracia das estimativas dos valores genéticos obtidos com modelos de regressão aleatória. In: Reunião ALPA, 22., 2011, Montevideo. Memorias...| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | OLIVEIRA, D. P. DE; CARDOSO, D. F.; PANETTO, J. C. do C.; ARAÚJO NETO, F. R.; FERNANDES, A. R.; TONHATI, H. Análise genética em características produtivas e reprodutivas de bovinos Gir leiteiro. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Viçosa: Sociedade Brasileira de Melhoramento Animal, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | BRION, C. T.; SANTOS, L. B.; REIS, D. R. de L.; MARTINS, M. F.; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, M. A. Banco de DNA de Bovinos: avaliação de metodologias alternativas para extração de DNA. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 16., 2015, Juiz de Fora, MG Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. 1 CD-ROM. (Embrapa Gado de Leite. Documentos, 185.). 2 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | OLIVEIRA, J. P. L.; NASCIMENTO, G. C.; COSTA, L. C.; TEIXEIRA, R. B.; PANETTO, J. C. do C.; PINHEIRO, R. O. Average inbreeding and genetic gain in simulated populations of dual-purpose cattle under different methods of selection. In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 373-375| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 219 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Gado de Leite. |
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Data corrente: |
17/07/2023 |
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Data da última atualização: |
06/09/2023 |
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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: |
CAMARGO JUNIOR, R. N. C.; FERNANDES, L. da S.; PANETTO, J. C. do C.; SILVA, M. V. G. B.; ARAUJO, C. V. de; SILVA, A. G. M. e; MARQUES, J. R. F.; SILVA, W. C. da; ARAUJO, S. I. de; CASTRO, S. R. S. de; SILVA, L. K. X.; CASTRO, S. V.; LOURENÇO JUNIOR, J. de B. |
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Afiliação: |
RAIMUNDO NONATO COLARES CAMARGO JUNIOR, Universidade Federal do Pará; LUANE DA SILVA FERNANDES, Universidade Federal do Mato Grosso; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; CLAUDIO VIEIRA DE ARAUJO, Universidade Federal do Mato Grosso; ANDRE GUIMARÃES MACIEL E SILVA, Universidade Federal do Pará; JOSE RIBAMAR FELIPE MARQUES, CPATU; WELLIGTON CONCEICÃO DA SILVA, Universidade Federal do Pará; SIMONE INOE DE ARAUJO, Universidade Federal do Mato Grosso; SAMIA RUBIELLE SILVA DE CASTRO, Harvard Center for Comparative Medicine; LILIAN KATIA XIMENES SILVA, Universidade Federal do Pará; SIMONE VIEIRA CASTRO, UniCatólica-Centro Universitário Católico de Tocantins; JOSE DE BRITO LOURENÇO JUNIOR, Universidade Federal do Pará. |
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Título: |
Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
PLoS ONE, v. 18, n. 7, e0288257, 2023. |
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DOI: |
https://doi.org/10.1371/journal.pone.0288257 |
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Idioma: |
Inglês |
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Conteúdo: |
The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires. MenosThe goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holste... Mostrar Tudo |
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Thesagro: |
Bovino; Gado Leiteiro; Genética Animal; Produção Leiteira. |
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Thesaurus NAL: |
Animal genetics; Dairy cattle. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154971/1/Heterogeneity-of-variance-and-genetic-parameters-for-milk-production-in-cattle.pdf
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Marc: |
LEADER 02811naa a2200349 a 4500
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024 7 $ahttps://doi.org/10.1371/journal.pone.0288257$2DOI
100 1 $aCAMARGO JUNIOR, R. N. C.
245 $aHeterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.$h[electronic resource]
260 $c2023
520 $aThe goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires.
650 $aAnimal genetics
650 $aDairy cattle
650 $aBovino
650 $aGado Leiteiro
650 $aGenética Animal
650 $aProdução Leiteira
700 1 $aFERNANDES, L. da S.
700 1 $aPANETTO, J. C. do C.
700 1 $aSILVA, M. V. G. B.
700 1 $aARAUJO, C. V. de
700 1 $aSILVA, A. G. M. e
700 1 $aMARQUES, J. R. F.
700 1 $aSILVA, W. C. da
700 1 $aARAUJO, S. I. de
700 1 $aCASTRO, S. R. S. de
700 1 $aSILVA, L. K. X.
700 1 $aCASTRO, S. V.
700 1 $aLOURENÇO JUNIOR, J. de B.
773 $tPLoS ONE$gv. 18, n. 7, e0288257, 2023.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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