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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. |
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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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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 |
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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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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
18/10/1995 |
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Data da última atualização: |
11/01/2007 |
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Autoria: |
CORREA-FERREIRA, B.S.; MOSCARDI, F. |
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Afiliação: |
EMBRAPA-CNPSo. Londrina, PR. |
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Título: |
Eficiencia de predadores na populacao de insetos pragas da soja. |
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Ano de publicação: |
1985 |
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Fonte/Imprenta: |
In: EMBRAPA. Centro Nacional de Pesquisa de Soja (Londrina, PR). Resultados de pesquisa de soja 1984/85. Londrina, 1985. |
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Páginas: |
p.77-78. |
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Série: |
(EMBRAPA-CNPSo. Documentos, 15). |
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Idioma: |
Português |
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Palavras-Chave: |
Brasil; Insect; Parana; Pest; Predator; Soybean. |
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Thesagro: |
Controle Biológico; Inseto; Nezara Viridula; Praga; Predador; Soja. |
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Thesaurus NAL: |
biological control; Brazil; Trissolcus basalis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00893naa a2200325 a 4500
001 1452017
005 2007-01-11
008 1985 bl uuuu u00u1 u #d
100 1 $aCORREA-FERREIRA, B.S.
245 $aEficiencia de predadores na populacao de insetos pragas da soja.
260 $c1985
300 $ap.77-78.
490 $a(EMBRAPA-CNPSo. Documentos, 15).
650 $abiological control
650 $aBrazil
650 $aTrissolcus basalis
650 $aControle Biológico
650 $aInseto
650 $aNezara Viridula
650 $aPraga
650 $aPredador
650 $aSoja
653 $aBrasil
653 $aInsect
653 $aParana
653 $aPest
653 $aPredator
653 $aSoybean
700 1 $aMOSCARDI, F.
773 $tIn: EMBRAPA. Centro Nacional de Pesquisa de Soja (Londrina, PR). Resultados de pesquisa de soja 1984/85. Londrina, 1985.
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