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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4115
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dc.contributor.authorRaadsma, H Wen
dc.contributor.authorZenger, K Ren
dc.contributor.authorNicholas, F Wen
dc.contributor.authorTier, Bruceen
dc.contributor.authorKhatkar, M Sen
dc.contributor.authorCrump, Ronald Edwarden
dc.contributor.authorMoser, Gen
dc.contributor.authorSolkner, Jen
dc.contributor.authorCavanagh, J A Len
dc.contributor.authorHawken, R Jen
dc.contributor.authorHobbs, Men
dc.contributor.authorBarris, Wen
local.source.editorEditor(s): AAABG: Association for the Advancement of Animal Breeding and Geneticsen
dc.date.accessioned2010-01-12T16:09:00Z-
dc.date.issued2007-
dc.identifier.citationProceedings of the Association for the Advancement of Animal Breeding and Genetics, v.17, p. 231-234en
dc.identifier.isbn1921208139en
dc.identifier.issn1328-3227en
dc.identifier.urihttps://hdl.handle.net/1959.11/4115-
dc.description.abstractA genome wide selection (GWS) platform was developed for prediction of genetic merit in dairy cattle. The critical components of the GWS platform included a genome wide SNP analysis assay representing 15,036 SNPs, 1546 progeny tested Holstein Friesian sires with EBV (ABV) for 42 lactation performance traits, and a series of complexity reduction methods with internal and external cross validation. Derived Molecular Breeding Values (MBV) using a fraction of the available SNP information, were shown to have high predictive value for genetic merit (r=0.65-0.87 with ABV) in bulls not used in the training data from which the SNP effects were derived. GWS can be used in the absence of SNP location and pedigree to make potentially highly accurate predictions of genetic merit at an early age from DNA analyses.en
dc.languageenen
dc.publisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)en
dc.relation.ispartofProceedings of the Association for the Advancement of Animal Breeding and Geneticsen
dc.titleGenome wide selection in dairy cattle based on high-density genome-wide SNP analysis: From discovery to applicationen
dc.typeConference Publicationen
dc.relation.conferenceAAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Geneticsen
dc.subject.keywordsQuantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.contributor.firstnameH Wen
local.contributor.firstnameK Ren
local.contributor.firstnameF Wen
local.contributor.firstnameBruceen
local.contributor.firstnameM Sen
local.contributor.firstnameRonald Edwarden
local.contributor.firstnameGen
local.contributor.firstnameJen
local.contributor.firstnameJ A Len
local.contributor.firstnameR Jen
local.contributor.firstnameMen
local.contributor.firstnameWen
local.subject.for2008060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.subject.seo2008830302 Dairy Cattleen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAdministrationen
local.profile.emailbtier@une.edu.auen
local.profile.emailrcrump@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:5287en
local.date.conference23rd - 26th September, 2007en
local.conference.placeArmidale, Australiaen
local.publisher.placeArmidale, Australiaen
local.format.startpage231en
local.format.endpage234en
local.peerreviewedYesen
local.identifier.volume17en
local.title.subtitleFrom discovery to applicationen
local.contributor.lastnameRaadsmaen
local.contributor.lastnameZengeren
local.contributor.lastnameNicholasen
local.contributor.lastnameTieren
local.contributor.lastnameKhatkaren
local.contributor.lastnameCrumpen
local.contributor.lastnameMoseren
local.contributor.lastnameSolkneren
local.contributor.lastnameCavanaghen
local.contributor.lastnameHawkenen
local.contributor.lastnameHobbsen
local.contributor.lastnameBarrisen
dc.identifier.staffune-id:btieren
dc.identifier.staffune-id:rcrumpen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:4214en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGenome wide selection in dairy cattle based on high-density genome-wide SNP analysisen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.aaabg.org/livestocklibrary/2007/raadsma231.pdfen
local.relation.urlhttp://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479en
local.conference.detailsAAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23rd - 26th September, 2007en
local.search.authorRaadsma, H Wen
local.search.authorZenger, K Ren
local.search.authorNicholas, F Wen
local.search.authorTier, Bruceen
local.search.authorKhatkar, M Sen
local.search.authorCrump, Ronald Edwarden
local.search.authorMoser, Gen
local.search.authorSolkner, Jen
local.search.authorCavanagh, J A Len
local.search.authorHawken, R Jen
local.search.authorHobbs, Men
local.search.authorBarris, Wen
local.uneassociationUnknownen
local.conference.venueUniversity of New Englanden
local.year.published2007en
local.date.start2007-09-23-
local.date.end2007-09-26-
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
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