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| Registros recuperados : 52 | |
| 41. |  | PORTES, J, V.; MENEZES, G. R. de O.; SILVA, L. O. C. da; MACNEIL, M. D.; ABREU, U. G. P. de; LACERDA, V. V. de; BRACCINI NETO, J. Selection indexes for nellore production system in the Brazilian Pantanal. Revista Brasileira de Zootecnia, v.50, e20200264, 2021. Animal production systems and agribusiness.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Pantanal. |
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| 45. | | DALTRO, D. DOS S.; PADILHA, A. H.; GAMA, L. T. DA; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, J. D.; BRACCINI NETO, J.; COBUCI, J. A. Heterosis in the components of lactation curves of Girolando cows. Italian Journal of Animal Science, v. 18, n. 1, p. 267-278, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 46. | | 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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| 47. | | SOUZA, K. A. R. de; TYSKA, D. U.; VIANA, A. F. P.; JULIATTO, R. P. M. M.; WARPECHOWSKI, M. B.; LEDUR, M. C.; SÁ, K. A. L. de; RIBEIRO, A. H.; BRUM, J. S.; BRACCINI NETO, J. Identificação de ilhas de homozigose em porcos da raça Moura e comerciais. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 7., 2022. Multifuncionalidade e qualidade de vida: [anais...]. Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2022.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 48. | | SOUZA, K. A. R. de; TYSKA, D. U.; VIANA, A. F. P.; JULIATTO, R. P. M. M.; WARPECHOWSKI, M. B.; LEDUR, M. C.; LODDI, M. M.; LEITE, D. M. G.; SÁ, K. A. L. de; BRACCINI NETO, J. Corridas de homozigose em porcos Moura e de outras raças comerciais. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 7., 2022. Multifuncionalidade e qualidade de vida: [anais...]. Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2022.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 49. | | MCMANUS, C.; BARCELLOS, J. O. J.; FORMENTON, B. K.; HERMUCHE, P. M.; CARVALHO JUNIOR, O. A. de; GUIMARÃES, R. F.; GIANEZINI, M.; DIAS, E. A.; LAMPERT, V. do N.; ZAGO, D.; BRACCINI NETO, J. Dynamics of cattle production in Brazil. Plos One, v. 11, n. 1, 27 Jan. 2016. e0147138.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 50. | | SANTOS, S. A.; PAIVA, S. R.; CANOZZI, M. E. A.; BRACCINI NETO, J.; ABREU, U. G. P. de; PAIVA, S. R.; JULIANO, R. S.; COMASTRI FILHO, J. A.; MARQUES, M. C. de A. Sistema de criação. In: SANTOS, S. A.; SALIS, S. M. de; COMASTRI FILHO, J. A. (Ed.). Cavalo pantaneiro: rústico por natureza. Brasília, DF: Embrapa, 2016. p. 123-145.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 51. | | SOUZA, K. A. R. de; TYSKA, D. U.; LEDUR, M. C.; WARPECHOWSKI, M. B.; PAIVA, S. R.; ZANELLA, R.; SÁ, K. A. L. de; LODDI, M. M.; LEITE, D. M. G.; BRUM, J. S.; JULIATTO, R. P. M. M.; BRACCINI NETO, J. Genomic inbreeding estimated through runs of homozygosity in Moura pigs and four commercial swine breeds. Livestock Science, v. 281, 105426, 2024.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 52. | | PAIXÃO, D. M.; CARNEIRO, P. L. S.; PAIVA, S. R.; SOUSA, K. R. S.; VERARDO, L. L.; BRACCINI NETO, J.; PINTO, A. P. G.; HIDALGO, A. M.; NASCIMENTO, C. S. do; PÉRISSÉ, I. V.; LOPES, P. S.; GUIMARÃES, S. E. F. Mapeamento de QTL nos cromossomos 1, 2, 3, 12, 14, 15 e X em suínos: características de carcaça e qualidade de carne. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 64, n. 4, p. 974-982, 2012.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 52 | |
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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: |
30/12/2019 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
DALTRO, D. DOS S.; PADILHA, A. H.; GAMA, L. T. DA; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MACHADO, J. D.; BRACCINI NETO, J.; COBUCI, J. A. |
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Afiliação: |
DARLENE DOS SANTOS DALTRO; ALESSANDRO HAIDUCK PADILHA; LUÍS TELO DA GAMA; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; JULIANA DEMENTSHUK MACHADO; JOSÉ BRACCINI NETO; JAIME ARAUJO COBUCI. |
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Título: |
Heterosis in the components of lactation curves of Girolando cows. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Italian Journal of Animal Science, v. 18, n. 1, p. 267-278, 2019. |
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DOI: |
https://doi.org/10.1080/1828051X.2018.1507627 |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to evaluate the effect of heterosis on the lactation curve components of Girolando cattle obtained by fitting different mathematical models. Data consisted of 258,891 test day milk yield records of the first lactation from 37,965 cows of Minas Gerais State (Brazil) between 1998 and 2014. Those cows were from the Holstein breed (H), Gyr breed (G) and six genetic cross-breedings of Holstein × Gyr, (1/4H, 3/4G (1/4H); 3/8H, 5/8G (3/8H); 1/2H, 1/2G (1/2H), 5/8H, 3/8G (5/8H); 3/4H, 1/4G (3/4H); 7/8H, 1/8G (7/8H)), which is officially named as Girolando breed in Brazil. The Wood’s linear model (WDlin), Wood’s non-linear model (WDnlin), Wilmink’s model (WL) and Ali and Schaeffer’s model (ASH) were used for estimating the peak milk yield (PY), time to peak yield (PT), 305-day milk yield (TMY) and four different persistency measures (P, P2:1, P3:1 and P3:2). Regardless of the fitted model, the highest estimates of PY and TMY were for the H group. The heterosis effect was significant (p < .001) for TMY and all components of the lactation curve, except for P2:1. Girolando cattle presented a heterosis effect of 12.30% and 13.03% for PY and TMY, respectively. The magnitude of heterosis effect was larger for PT (24.18%), whereas the different persistency measures presented the smallest magnitude of heterosis values. The producers may use the different genetic groups to benefit from the heterosis mainly for the time to peak, peak yield and 305-day milk yield.HIGHLIGHTS• Girolando cows in production systems in Brazil has shown positive results. • The greater productive efficiency may be because of heterosis on the production.• Thus effect of heterosis on lactation curve can contribute to the improvement of the production system. MenosThe objective of this study was to evaluate the effect of heterosis on the lactation curve components of Girolando cattle obtained by fitting different mathematical models. Data consisted of 258,891 test day milk yield records of the first lactation from 37,965 cows of Minas Gerais State (Brazil) between 1998 and 2014. Those cows were from the Holstein breed (H), Gyr breed (G) and six genetic cross-breedings of Holstein × Gyr, (1/4H, 3/4G (1/4H); 3/8H, 5/8G (3/8H); 1/2H, 1/2G (1/2H), 5/8H, 3/8G (5/8H); 3/4H, 1/4G (3/4H); 7/8H, 1/8G (7/8H)), which is officially named as Girolando breed in Brazil. The Wood’s linear model (WDlin), Wood’s non-linear model (WDnlin), Wilmink’s model (WL) and Ali and Schaeffer’s model (ASH) were used for estimating the peak milk yield (PY), time to peak yield (PT), 305-day milk yield (TMY) and four different persistency measures (P, P2:1, P3:1 and P3:2). Regardless of the fitted model, the highest estimates of PY and TMY were for the H group. The heterosis effect was significant (p < .001) for TMY and all components of the lactation curve, except for P2:1. Girolando cattle presented a heterosis effect of 12.30% and 13.03% for PY and TMY, respectively. The magnitude of heterosis effect was larger for PT (24.18%), whereas the different persistency measures presented the smallest magnitude of heterosis values. The producers may use the different genetic groups to benefit from the heterosis mainly for the time to peak, peak yield and 305-day milk yield... Mostrar Tudo |
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Palavras-Chave: |
Cross-breeding; Persistency of lactation. |
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Thesaurus NAL: |
Dairy cows; Mathematical models. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
Marc: |
LEADER 02612naa a2200265 a 4500
001 2117831
005 2024-02-06
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/1828051X.2018.1507627$2DOI
100 1 $aDALTRO, D. DOS S.
245 $aHeterosis in the components of lactation curves of Girolando cows.$h[electronic resource]
260 $c2019
520 $aThe objective of this study was to evaluate the effect of heterosis on the lactation curve components of Girolando cattle obtained by fitting different mathematical models. Data consisted of 258,891 test day milk yield records of the first lactation from 37,965 cows of Minas Gerais State (Brazil) between 1998 and 2014. Those cows were from the Holstein breed (H), Gyr breed (G) and six genetic cross-breedings of Holstein × Gyr, (1/4H, 3/4G (1/4H); 3/8H, 5/8G (3/8H); 1/2H, 1/2G (1/2H), 5/8H, 3/8G (5/8H); 3/4H, 1/4G (3/4H); 7/8H, 1/8G (7/8H)), which is officially named as Girolando breed in Brazil. The Wood’s linear model (WDlin), Wood’s non-linear model (WDnlin), Wilmink’s model (WL) and Ali and Schaeffer’s model (ASH) were used for estimating the peak milk yield (PY), time to peak yield (PT), 305-day milk yield (TMY) and four different persistency measures (P, P2:1, P3:1 and P3:2). Regardless of the fitted model, the highest estimates of PY and TMY were for the H group. The heterosis effect was significant (p < .001) for TMY and all components of the lactation curve, except for P2:1. Girolando cattle presented a heterosis effect of 12.30% and 13.03% for PY and TMY, respectively. The magnitude of heterosis effect was larger for PT (24.18%), whereas the different persistency measures presented the smallest magnitude of heterosis values. The producers may use the different genetic groups to benefit from the heterosis mainly for the time to peak, peak yield and 305-day milk yield.HIGHLIGHTS• Girolando cows in production systems in Brazil has shown positive results. • The greater productive efficiency may be because of heterosis on the production.• Thus effect of heterosis on lactation curve can contribute to the improvement of the production system.
650 $aDairy cows
650 $aMathematical models
653 $aCross-breeding
653 $aPersistency of lactation
700 1 $aPADILHA, A. H.
700 1 $aGAMA, L. T. DA
700 1 $aSILVA, M. V. G. B.
700 1 $aPANETTO, J. C. do C.
700 1 $aMACHADO, J. D.
700 1 $aBRACCINI NETO, J.
700 1 $aCOBUCI, J. A.
773 $tItalian Journal of Animal Science$gv. 18, n. 1, p. 267-278, 2019.
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