Heterosis in the components of lactation curves of Girolando cows

Detalhes bibliográficos
Autor(a) principal: Daltro, Darlene dos Santos
Data de Publicação: 2019
Outros Autores: Padilha, Alessandro Haiduck, Gama, Luís Telo da, Silva, Marcos Vinicius Gualberto Barbosa, Panetto, João Cláudio do Carmo, Machado, Juliana Dementshuk, Braccini Neto, José, Cobuci, Jaime Araújo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/201998
Resumo: 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.
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spelling Daltro, Darlene dos SantosPadilha, Alessandro HaiduckGama, Luís Telo daSilva, Marcos Vinicius Gualberto BarbosaPanetto, João Cláudio do CarmoMachado, Juliana DementshukBraccini Neto, JoséCobuci, Jaime Araújo2019-11-23T04:05:44Z20191594-4077http://hdl.handle.net/10183/201998001099909The 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.application/pdfengItalian Journal of Animal Science. Pavia. Vol 18, no. 1 (2019), p. 267-278Vigor hibridoLactaçãoVaca leiteiraModelo matemáticoCurva de LactaçãoCruzamento animalCross-breedingDairy cowsMathematical modelPersistency of lactationHeterosis in the components of lactation curves of Girolando cowsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001099909.pdf.txt001099909.pdf.txtExtracted Texttext/plain53107http://www.lume.ufrgs.br/bitstream/10183/201998/2/001099909.pdf.txt2537f57c8ed6e7d3318351d429c9ccc5MD52ORIGINAL001099909.pdfTexto completo (inglês)application/pdf1862131http://www.lume.ufrgs.br/bitstream/10183/201998/1/001099909.pdfe56440ac7e4981d2e7a05f1eea05a365MD5110183/2019982019-11-24 05:03:35.631717oai:www.lume.ufrgs.br:10183/201998Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-11-24T07:03:35Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Heterosis in the components of lactation curves of Girolando cows
title Heterosis in the components of lactation curves of Girolando cows
spellingShingle Heterosis in the components of lactation curves of Girolando cows
Daltro, Darlene dos Santos
Vigor hibrido
Lactação
Vaca leiteira
Modelo matemático
Curva de Lactação
Cruzamento animal
Cross-breeding
Dairy cows
Mathematical model
Persistency of lactation
title_short Heterosis in the components of lactation curves of Girolando cows
title_full Heterosis in the components of lactation curves of Girolando cows
title_fullStr Heterosis in the components of lactation curves of Girolando cows
title_full_unstemmed Heterosis in the components of lactation curves of Girolando cows
title_sort Heterosis in the components of lactation curves of Girolando cows
author Daltro, Darlene dos Santos
author_facet Daltro, Darlene dos Santos
Padilha, Alessandro Haiduck
Gama, Luís Telo da
Silva, Marcos Vinicius Gualberto Barbosa
Panetto, João Cláudio do Carmo
Machado, Juliana Dementshuk
Braccini Neto, José
Cobuci, Jaime Araújo
author_role author
author2 Padilha, Alessandro Haiduck
Gama, Luís Telo da
Silva, Marcos Vinicius Gualberto Barbosa
Panetto, João Cláudio do Carmo
Machado, Juliana Dementshuk
Braccini Neto, José
Cobuci, Jaime Araújo
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Daltro, Darlene dos Santos
Padilha, Alessandro Haiduck
Gama, Luís Telo da
Silva, Marcos Vinicius Gualberto Barbosa
Panetto, João Cláudio do Carmo
Machado, Juliana Dementshuk
Braccini Neto, José
Cobuci, Jaime Araújo
dc.subject.por.fl_str_mv Vigor hibrido
Lactação
Vaca leiteira
Modelo matemático
Curva de Lactação
Cruzamento animal
topic Vigor hibrido
Lactação
Vaca leiteira
Modelo matemático
Curva de Lactação
Cruzamento animal
Cross-breeding
Dairy cows
Mathematical model
Persistency of lactation
dc.subject.eng.fl_str_mv Cross-breeding
Dairy cows
Mathematical model
Persistency of lactation
description 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.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-11-23T04:05:44Z
dc.date.issued.fl_str_mv 2019
dc.type.driver.fl_str_mv Estrangeiro
info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/201998
dc.identifier.issn.pt_BR.fl_str_mv 1594-4077
dc.identifier.nrb.pt_BR.fl_str_mv 001099909
identifier_str_mv 1594-4077
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url http://hdl.handle.net/10183/201998
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Italian Journal of Animal Science. Pavia. Vol 18, no. 1 (2019), p. 267-278
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eu_rights_str_mv openAccess
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institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
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