Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19456
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dc.contributor.authorFlores, Ester Battaden
dc.contributor.authorVan Der Werf, Julius Hen
dc.date.accessioned2016-09-01T10:55:00Z
dc.date.issued2015en
dc.identifier.citationJournal of Animal Breeding and Genetics, 132(4), p. 289-300en
dc.identifier.issn0931-2668en
dc.identifier.issn1439-0388en
dc.identifier.urihttps://hdl.handle.net/1959.11/19456en
dc.description.abstractHeritabilities and genetic correlations for milk production traits were estimated from first-parity test day records on 1022 Philippine dairy buffalo cows. Traits analysed included milk (MY), fat (FY) and protein (PY) yields, and fat (Fat%) and protein (Prot%) concentrations. Varying orders of Legendre polynomials (Legm) as well as the Wilmink function (Wil) were used in random regression models. These various models were compared based on log likelihood, Akaike's information criterion, Bayesian information criterion and genetic variance estimates. Six residual variance classes were sufficient for MY, FY, PY and Fat%, while seven residual classes for Prot%. Multivariate analysis gave higher estimates of genetic variance and heritability compared with univariate analysis for all traits. Heritability estimates ranged from 0.25 to 0.44, 0.13 to 0.31 and 0.21 to 0.36 for MY, FY and PY, respectively. Wilmink's function was the better fitting function for additive genetic effects for all traits. It was also the preferred function for permanent environment effects for Fat% and Prot%, but for MY, FY and PY, the Legm was the appropriate function. Genetic correlations of MY with FY and PY were high and they were moderately negative with Fat% and Prot%. To prevent deterioration in Fat% and Prot% and improve milk quality, more weight should be applied to milk component traits.en
dc.languageenen
dc.publisherWiley-Blackwell Verlag GmbHen
dc.relation.ispartofJournal of Animal Breeding and Geneticsen
dc.titleRandom regression test day models to estimate genetic parameters for milk yield and milk components in Philippine dairy buffaloesen
dc.typeJournal Articleen
dc.identifier.doi10.1111/jbg.12133en
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameEster Battaden
local.contributor.firstnameJulius Hen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830399 Livestock Raising not elsewhere classifieden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaileflores@myune.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20160502-144636en
local.publisher.placeGermanyen
local.format.startpage289en
local.format.endpage300en
local.peerreviewedYesen
local.identifier.volume132en
local.identifier.issue4en
local.contributor.lastnameFloresen
local.contributor.lastnameVan Der Werfen
dc.identifier.staffune-id:efloresen
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:19651en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRandom regression test day models to estimate genetic parameters for milk yield and milk components in Philippine dairy buffaloesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.description.statisticsepubsVisitors: 31<br />Views: 31<br />Downloads: 0en
local.search.authorFlores, Ester Battaden
local.search.authorVan Der Werf, Julius Hen
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