| |
|
|
| Registros recuperados : 29 | |
| 2. |  | RIBEIRO, M. N.; EL FARO, L.; PIMENTA FILHO, E. C.; ALBUQUERQUE, L. G. Modelos matemáticos para ajuste da curva de lactação de cabras mestiças no Cariri paraibano. ARS Veterinária, Jaboticabal, v. 20, n. 3, p. 276-282, dez., 2004.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
|   |
| 3. | | PEREIRA, R. J.; BIGNARDI, A. B.; EL FARO, L.; VERNEQUE, R. da S.; VERCESI FILHO, A. E.; ALBUQUERQUE, L. G. Random regression models using legendre polynomials or linear splines for test-day milk yield of dairy Gyr (Bos indicus) cattle. Journal of Dairy Science, v. 96, n. 1, p. 565-574, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
|  |
| 4. | | PRATA, M. A.; MOREIRA, H. L.; VERCESI FILHO, A. E.; VERNEQUE, R. da S.; CARDOSO, V. L.; EL FARO, L. Parametros geneticos para caracteristicas de produção e qualidade do leite para a raça 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. |
|  |
| 5. | | REWE, T. O.; PEIXOTO, M. G. C. D.; CARDOSO, V. L.; VERCESI FILHO, A. E.; EL FARO, L.; STRANDBERG, E. Gir for the Giriama: the case for Zebu dairying in the tropics: a review. Livestock Research for Rural Development, v. 27, n. 8, p. 1-11, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
| |
| 6. | | VENTURINI, G. C.; SAVEGNAGO, B. N.; LEDUR, M. C.; SCHMIDT, G. S.; EL FARO, L.; MUNARI, D. P. Genetic parameters and principal component analysis for egg production from white leghorn hens. Poultry Science, Champaign, v. 92, p. 2283-2289, 2013.| Biblioteca(s): Embrapa Suínos e Aves. |
| |
| 10. | | CRUZ, D. A. C. DA; FERNANDES, G. M.; GAMA, M. P. M. DA; BRUNELI, F. A. T.; PEIXOTO, M. G. C. D.; EL FARO, L. Curvas de lactação de vacas primiparas da raça guzerá (Bos taurus indicus) e mestiças. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Viçosa: Sociedade Brasileira de Melhoramento Animal, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
| |
| 13. | | VENTURINI, G. C.; STAFUZZA, N. B.; CARDOSO, D. F.; BALDI, F.; LEDUR, M. C.; DANTAS, J. de O.; EL FARO, L.; MUNARI, D. P. Association between ACTA1 candidate gene and performance, organs and carcass traits in broilers. Poultry Science, 16 out. 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
| |
| 14. | | SAVEGNAGO, R. P.; CRUZ, V. A. R.; RAMOS, S. B.; CAETANO, S. L.; SCHMIDT, G. S.; LEDUR, M. C.; EL FARO, L.; MUNARI, D. P. Egg production curve fitting using nonlinear models for selected and nonselected lines of White Leghorn hens. Poultry Science, v. 91, p. 2977-2987, 2012. Projeto: 01.06.01.006.| Biblioteca(s): Embrapa Suínos e Aves. |
| |
| 15. | | PEREIRA, R. J.; SANTANA JUNIOR, M. L.; BIGNARDI, A. B.; VERNEQUE, R. da S.; EL FARO, L.; ALBUQUERQUE, L. G. de. Effect of pregnancy on the genetic evaluation of dairy cattle. Genetics and Molecular Research, v. 10, n. 3, p. 2190-2201, 2011.| Biblioteca(s): Embrapa Gado de Leite. |
| |
| 16. | | ANDRADE, A. B. F.; PAZ, C. C. P.; EL FARO, L.; MASCIOLI, A. S.; LIMA, R.; OLIVEIRA, J. A. L.; ALENCAR, M. M. de. Estimativas de parâmetros genético e fenotipicos dos pesos ao nascimento e a desmama e do ganho de peso pre-desmama em um rebanho Canchim. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 31., 1994, Maringá. Anais... Maringá : SBZ, 1994. p.158. Resumo expandido.| Biblioteca(s): Embrapa Pecuária Sudeste. |
| |
| 18. | | VENTURINI, G. C.; GROSSI, D. A.; BUZANSKAS, M. E.; EL FARO, L.; SCHMIDT, G. S.; LEDUR, M. C.; MUNARI, D. P. Estudo de modelos de regressão aleatória para avaliação genética da curva de produção de ovos em aves de postura. In: CONGRESSO BRASILEIRO DE GENÉTICA, 54., 2008, Salvador. Anais. Salvador: SBG, 2008. p. 239. Projeto/Plano de Ação: 01.02.10.210-10.| Biblioteca(s): Embrapa Suínos e Aves. |
| |
| 19. | | PRATA, M. C. de A.; EL FARO, L.; VERNEQUE, R. da S.; VERCESI FILHO, A. E.; PEIXOTO, M. G. C. D.; MOREIRA, E. L.; CARDOSO, V. L. Genetic parameters for milk production traits and breeding goals for Gir dairy cattle in Brazil. Genetics and Molecular Research, v. 14, n. 4, p. 12585-12594, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
| |
| 20. | | PRATA, M. A.; EL FARO, L.; VERNEQUE, R. da S.; VERCESI FILHO, A. E.; PEIXOTO, M. G. C. D.; MOREIRA, E. L.; CARDOSO, V. L. Genetic parameters for milk production traits and breeding goals for Gir dairy cattle in Brazil. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Champaign: ASAS, 2014. 3 p.| Biblioteca(s): Embrapa Gado de Leite. |
| |
| Registros recuperados : 29 | |
|
|
|
 | 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 Caprinos e Ovinos; Embrapa Gado de Leite. |
|
Data corrente: |
13/08/2021 |
|
Data da última atualização: |
14/08/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
SILVA, R. P. A. da; LOBO, R. N. B.; EL FARO, L.; SANTOS, G. G. dos; BRUNELI, F. A. T.; PEIXOTO, M. G. C. D. |
|
Afiliação: |
ROBERTA POLYANA ARAÚJO DA SILVA, Universidade Federal do Ceará; RAIMUNDO NONATO BRAGA LOBO, CNPC; LENIRA EL FARO, Instituto de Zootecnia, Sertãozinho, SP; GLAUCYANA GOUVÊA DOS SANTOS; FRANK ANGELO TOMITA BRUNELI, CNPGL; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL. |
|
Título: |
Genetic parameters for somatic cell count (SCC) and milk production traits of Guzerá cows using data normalized by different procedures. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Tropical Animal Health and Production, v. 52, p. 2513-2522, 2020. |
|
DOI: |
https://doi.org/10.1007/s11250-020-02277-8 |
|
Idioma: |
Inglês |
|
Conteúdo: |
This study aimed to estimate the genetic parameters for somatic cell count (SCC) and the genetic association between SCC and milk production traits using two different methods of SCC normalization. The dataset contained information on 8870 lactation records of 6172 Guzerá dairy cows selected for dual-purpose from 95 herds. The lactation means of SCC were normalized in two ways: (a) SCC1 = log10 (SCC) and (b) SCC2 = log2 (SCC/100) + 3. Multivariate analyses were performed considering milk production traits over the course of 305 days of lactation. Estimates of the variance components and genetic parameters were carried out by the Bayesian inference method, applying Gibbs sampling. Single chains of 2,000,000 iterations were used, with sampling discards of the first 5000 chains and a sampling period of every 50 iterations. The deviation of information criteria (DIC) was used to evaluate the best transformation for standardization of the SCC data, comparing analysis 1 (milk production traits over 305 days and SCC1) with analysis 2 (milk production traits over 305 days and SCC2). According to the data structure of this study, SCC1 normalization was the most efficient method and produced better estimates than normalization by the SCC2 method. The heritability estimates for SCC were low regardless of the transformation method used, indicating a small possibility of expressive genetic gains from the direct selection of these traits. However, the repeatability indicated the potential for increasing heritability estimates if the effects of the permanent environment were reduced. The genetic correlations between the milk yield and SCC traits do not indicate the possibility of a correlated genetic gain from the direct selection of one trait. However, concomitant selection for milk production traits and SCC will likely not affect the individual response either. MenosThis study aimed to estimate the genetic parameters for somatic cell count (SCC) and the genetic association between SCC and milk production traits using two different methods of SCC normalization. The dataset contained information on 8870 lactation records of 6172 Guzerá dairy cows selected for dual-purpose from 95 herds. The lactation means of SCC were normalized in two ways: (a) SCC1 = log10 (SCC) and (b) SCC2 = log2 (SCC/100) + 3. Multivariate analyses were performed considering milk production traits over the course of 305 days of lactation. Estimates of the variance components and genetic parameters were carried out by the Bayesian inference method, applying Gibbs sampling. Single chains of 2,000,000 iterations were used, with sampling discards of the first 5000 chains and a sampling period of every 50 iterations. The deviation of information criteria (DIC) was used to evaluate the best transformation for standardization of the SCC data, comparing analysis 1 (milk production traits over 305 days and SCC1) with analysis 2 (milk production traits over 305 days and SCC2). According to the data structure of this study, SCC1 normalization was the most efficient method and produced better estimates than normalization by the SCC2 method. The heritability estimates for SCC were low regardless of the transformation method used, indicating a small possibility of expressive genetic gains from the direct selection of these traits. However, the repeatability indicated the potential... Mostrar Tudo |
|
Palavras-Chave: |
Bayesian inference; Correlação genética; Herdabilidade; Inferência bayesiana; Mastite; Repetibilidade; Zebu cattle. |
|
Thesagro: |
Bovino; Gado Guzerá; Gado Zebu; Parâmetro Genético; Produção Leiteira. |
|
Thesaurus NAL: |
Genetic correlation; Heritability; Mastitis; Repeatability. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
Marc: |
LEADER 03059naa a2200385 a 4500
001 2133570
005 2021-08-14
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-020-02277-8$2DOI
100 1 $aSILVA, R. P. A. da
245 $aGenetic parameters for somatic cell count (SCC) and milk production traits of Guzerá cows using data normalized by different procedures.$h[electronic resource]
260 $c2020
520 $aThis study aimed to estimate the genetic parameters for somatic cell count (SCC) and the genetic association between SCC and milk production traits using two different methods of SCC normalization. The dataset contained information on 8870 lactation records of 6172 Guzerá dairy cows selected for dual-purpose from 95 herds. The lactation means of SCC were normalized in two ways: (a) SCC1 = log10 (SCC) and (b) SCC2 = log2 (SCC/100) + 3. Multivariate analyses were performed considering milk production traits over the course of 305 days of lactation. Estimates of the variance components and genetic parameters were carried out by the Bayesian inference method, applying Gibbs sampling. Single chains of 2,000,000 iterations were used, with sampling discards of the first 5000 chains and a sampling period of every 50 iterations. The deviation of information criteria (DIC) was used to evaluate the best transformation for standardization of the SCC data, comparing analysis 1 (milk production traits over 305 days and SCC1) with analysis 2 (milk production traits over 305 days and SCC2). According to the data structure of this study, SCC1 normalization was the most efficient method and produced better estimates than normalization by the SCC2 method. The heritability estimates for SCC were low regardless of the transformation method used, indicating a small possibility of expressive genetic gains from the direct selection of these traits. However, the repeatability indicated the potential for increasing heritability estimates if the effects of the permanent environment were reduced. The genetic correlations between the milk yield and SCC traits do not indicate the possibility of a correlated genetic gain from the direct selection of one trait. However, concomitant selection for milk production traits and SCC will likely not affect the individual response either.
650 $aGenetic correlation
650 $aHeritability
650 $aMastitis
650 $aRepeatability
650 $aBovino
650 $aGado Guzerá
650 $aGado Zebu
650 $aParâmetro Genético
650 $aProdução Leiteira
653 $aBayesian inference
653 $aCorrelação genética
653 $aHerdabilidade
653 $aInferência bayesiana
653 $aMastite
653 $aRepetibilidade
653 $aZebu cattle
700 1 $aLOBO, R. N. B.
700 1 $aEL FARO, L.
700 1 $aSANTOS, G. G. dos
700 1 $aBRUNELI, F. A. T.
700 1 $aPEIXOTO, M. G. C. D.
773 $tTropical Animal Health and Production$gv. 52, p. 2513-2522, 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
