Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.4238/vol9-3gmr846 http://hdl.handle.net/11449/4496 |
Resumo: | Buffalo milk has excellent physical and chemical qualities as a consequence of the high percentage of constituents. This milk property is desirable for the dairy industry because it facilitates manufacture of mozzarella cheese. We estimated genetic parameters for milk yield, milk fat and protein and their effects on mozzarella cheese production using Bayesian inference. Using information from 4907 lactation records of buffaloes, genetic and non-genetic parameters were estimated for accumulated 305-day milk yield (MY), milk fat (%F) and protein (%P) percentages and mozzarella production per lactation (MP). The (co) variance components were obtained by Bayesian inference using a multiple trait model, which included as fixed effects contemporary group, milking number and buffalo age at calving as covariables (linear and quadratic), along with the additive genetic, permanent environmental and residual random effects. Mean a posteriori heritability distributions for MY, %F, %P, and MP were 0.25, 0.30, 0.38, and 0.23, respectively. The genetic correlation estimates between MY with %P and %F were negative and moderate. Positive genetic correlation estimates varying from 0.19 (%P/MP) to 0.95 (MY/MP) were obtained among the traits. Milk yield, milk components, and mozzarella production in Murrah buffaloes have enough genetic variation for selection purposes. We conclude that selection to increase milk yield would be effective in improving mozzarella production. |
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Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationshipsBubalus bubalisMilk compositionGibbs analysesBuffalo milk has excellent physical and chemical qualities as a consequence of the high percentage of constituents. This milk property is desirable for the dairy industry because it facilitates manufacture of mozzarella cheese. We estimated genetic parameters for milk yield, milk fat and protein and their effects on mozzarella cheese production using Bayesian inference. Using information from 4907 lactation records of buffaloes, genetic and non-genetic parameters were estimated for accumulated 305-day milk yield (MY), milk fat (%F) and protein (%P) percentages and mozzarella production per lactation (MP). The (co) variance components were obtained by Bayesian inference using a multiple trait model, which included as fixed effects contemporary group, milking number and buffalo age at calving as covariables (linear and quadratic), along with the additive genetic, permanent environmental and residual random effects. Mean a posteriori heritability distributions for MY, %F, %P, and MP were 0.25, 0.30, 0.38, and 0.23, respectively. The genetic correlation estimates between MY with %P and %F were negative and moderate. Positive genetic correlation estimates varying from 0.19 (%P/MP) to 0.95 (MY/MP) were obtained among the traits. Milk yield, milk components, and mozzarella production in Murrah buffaloes have enough genetic variation for selection purposes. We conclude that selection to increase milk yield would be effective in improving mozzarella production.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, São Paulo, BrazilUniv Naples Federico 2, Naples, ItalyUniv Estadual Paulista, Dept Zootecnia, Fac Ciencias Agr & Vet, São Paulo, BrazilFunpec-editoraUniversidade Estadual Paulista (Unesp)Universita' degli Studi di Napoli Federico IIAspilcueta-Borquis, R. R. [UNESP]Di Palo, R.Araujo Neto, F. R. [UNESP]Baldi, Fernando [UNESP]Camargo, G. M. F. de [UNESP]Albuquerque, Lucia Galvão de [UNESP]Zicarelli, L.Tonhati, Humberto [UNESP]2014-05-20T13:18:24Z2014-05-20T13:18:24Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1636-1644application/pdfhttp://dx.doi.org/10.4238/vol9-3gmr846Genetics and Molecular Research. Ribeirao Preto: Funpec-editora, v. 9, n. 3, p. 1636-1644, 2010.1676-5680http://hdl.handle.net/11449/449610.4238/vol9-3gmr846WOS:000282756600021WOS000282756600021.pdf74452549608581595866981114947883Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGenetics and Molecular Research0,439info:eu-repo/semantics/openAccess2024-06-07T18:45:09Zoai:repositorio.unesp.br:11449/4496Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:14:17.284774Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
title |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
spellingShingle |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships Aspilcueta-Borquis, R. R. [UNESP] Bubalus bubalis Milk composition Gibbs analyses |
title_short |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
title_full |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
title_fullStr |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
title_full_unstemmed |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
title_sort |
Genetic parameter estimates for buffalo milk yield, milk quality and mozzarella production and Bayesian inference analysis of their relationships |
author |
Aspilcueta-Borquis, R. R. [UNESP] |
author_facet |
Aspilcueta-Borquis, R. R. [UNESP] Di Palo, R. Araujo Neto, F. R. [UNESP] Baldi, Fernando [UNESP] Camargo, G. M. F. de [UNESP] Albuquerque, Lucia Galvão de [UNESP] Zicarelli, L. Tonhati, Humberto [UNESP] |
author_role |
author |
author2 |
Di Palo, R. Araujo Neto, F. R. [UNESP] Baldi, Fernando [UNESP] Camargo, G. M. F. de [UNESP] Albuquerque, Lucia Galvão de [UNESP] Zicarelli, L. Tonhati, Humberto [UNESP] |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universita' degli Studi di Napoli Federico II |
dc.contributor.author.fl_str_mv |
Aspilcueta-Borquis, R. R. [UNESP] Di Palo, R. Araujo Neto, F. R. [UNESP] Baldi, Fernando [UNESP] Camargo, G. M. F. de [UNESP] Albuquerque, Lucia Galvão de [UNESP] Zicarelli, L. Tonhati, Humberto [UNESP] |
dc.subject.por.fl_str_mv |
Bubalus bubalis Milk composition Gibbs analyses |
topic |
Bubalus bubalis Milk composition Gibbs analyses |
description |
Buffalo milk has excellent physical and chemical qualities as a consequence of the high percentage of constituents. This milk property is desirable for the dairy industry because it facilitates manufacture of mozzarella cheese. We estimated genetic parameters for milk yield, milk fat and protein and their effects on mozzarella cheese production using Bayesian inference. Using information from 4907 lactation records of buffaloes, genetic and non-genetic parameters were estimated for accumulated 305-day milk yield (MY), milk fat (%F) and protein (%P) percentages and mozzarella production per lactation (MP). The (co) variance components were obtained by Bayesian inference using a multiple trait model, which included as fixed effects contemporary group, milking number and buffalo age at calving as covariables (linear and quadratic), along with the additive genetic, permanent environmental and residual random effects. Mean a posteriori heritability distributions for MY, %F, %P, and MP were 0.25, 0.30, 0.38, and 0.23, respectively. The genetic correlation estimates between MY with %P and %F were negative and moderate. Positive genetic correlation estimates varying from 0.19 (%P/MP) to 0.95 (MY/MP) were obtained among the traits. Milk yield, milk components, and mozzarella production in Murrah buffaloes have enough genetic variation for selection purposes. We conclude that selection to increase milk yield would be effective in improving mozzarella production. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01 2014-05-20T13:18:24Z 2014-05-20T13:18:24Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.4238/vol9-3gmr846 Genetics and Molecular Research. Ribeirao Preto: Funpec-editora, v. 9, n. 3, p. 1636-1644, 2010. 1676-5680 http://hdl.handle.net/11449/4496 10.4238/vol9-3gmr846 WOS:000282756600021 WOS000282756600021.pdf 7445254960858159 5866981114947883 |
url |
http://dx.doi.org/10.4238/vol9-3gmr846 http://hdl.handle.net/11449/4496 |
identifier_str_mv |
Genetics and Molecular Research. Ribeirao Preto: Funpec-editora, v. 9, n. 3, p. 1636-1644, 2010. 1676-5680 10.4238/vol9-3gmr846 WOS:000282756600021 WOS000282756600021.pdf 7445254960858159 5866981114947883 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Genetics and Molecular Research 0,439 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1636-1644 application/pdf |
dc.publisher.none.fl_str_mv |
Funpec-editora |
publisher.none.fl_str_mv |
Funpec-editora |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129598626463744 |