Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18916
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dc.contributor.authorMeyer, Karinen
dc.contributor.authorSwan, Andrewen
dc.contributor.authorTier, Bruceen
dc.date.accessioned2016-04-22T16:25:00Z-
dc.date.issued2015-
dc.identifier.citationJournal of Animal Science, 93(10), p. 4624-4628en
dc.identifier.issn1525-3163en
dc.identifier.issn0021-8812en
dc.identifier.urihttps://hdl.handle.net/1959.11/18916-
dc.description.abstractA reparameterization of the multivariate linear mixed model in genetic evaluation to principal components is described. This yields an equivalent model with a sparser coefficient matrix in the mixed model equations and, thus, reduced computational requirements to solve them. It is especially advantageous for analyses incorporating genomic relationship information with many nonzero elements in the inverse of the relationship matrix. Moreover, the framework lends itself directly to dimension reduction and, thus, further computational savings by omitting genetic principal components with negligible eigenvalues. The potential impact on computational demands is illustrated for an application to single-step genomic evaluation of Australian sheep.en
dc.languageenen
dc.publisherAmerican Society of Animal Scienceen
dc.relation.ispartofJournal of Animal Scienceen
dc.titleTechnical note: Genetic principal component models for multitrait single-step genomic evaluationen
dc.typeJournal Articleen
dc.identifier.doi10.2527/jas.2015-9333en
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameKarinen
local.contributor.firstnameAndrewen
local.contributor.firstnameBruceen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830301 Beef Cattleen
local.subject.seo2008830399 Livestock Raising not elsewhere classifieden
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailkmeyer@une.edu.auen
local.profile.emailaswan@une.edu.auen
local.profile.emailbtier@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20160414-133546en
local.publisher.placeUnited States of Americaen
local.format.startpage4624en
local.format.endpage4628en
local.identifier.scopusid84975503395en
local.peerreviewedYesen
local.identifier.volume93en
local.identifier.issue10en
local.title.subtitleGenetic principal component models for multitrait single-step genomic evaluationen
local.contributor.lastnameMeyeren
local.contributor.lastnameSwanen
local.contributor.lastnameTieren
dc.identifier.staffune-id:kmeyeren
dc.identifier.staffune-id:aswanen
dc.identifier.staffune-id:btieren
local.profile.orcid0000-0003-2663-9059en
local.profile.orcid0000-0001-8048-3169en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:19118en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleTechnical noteen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMeyer, Karinen
local.search.authorSwan, Andrewen
local.search.authorTier, Bruceen
local.uneassociationUnknownen
local.identifier.wosid000366326100004en
local.year.published2015en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100401 Beef cattleen
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Journal Article
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