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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28674
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dc.contributor.authorFerdosi, M Hen
dc.contributor.authorConnors, N Ken
dc.date.accessioned2020-05-10T23:33:29Z-
dc.date.available2020-05-10T23:33:29Z-
dc.date.issued2019-
dc.identifier.citationProceedings of the Association for the Advancement of Animal Breeding and Genetics, v.23, p. 480-483en
dc.identifier.issn1328-3227en
dc.identifier.urihttps://hdl.handle.net/1959.11/28674-
dc.description.abstractImputation is used in Australia’s national beef genetic evaluation, BREEDPLAN, to resolve missing genomic information in the combined panels of genomic data and clarify relationships through building a genomic relationship matrix (GRM). The accuracy of imputation is dependent on many factors such as the size of reference population and the density of markers. Here we demonstrated an improvement in imputation accuracy of Angus genotypes by increasing the numbers of individuals and the density of markers in the reference population. The results show a considerable increase in imputation accuracy by increasing density of markers up to 15k SNPs.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.titleInvestigation into the Effects of Number of SNPs and Number of Reference Individuals on Imputation Accuracyen
dc.typeConference Publicationen
dc.relation.conferenceAAABG 2019: 23rd Conference of the Association for the Advancement of Animal Breeding and Geneticsen
dcterms.accessRightsBronzeen
local.contributor.firstnameM Hen
local.contributor.firstnameN Ken
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830301 Beef Cattleen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolSchool of Science and Technologyen
local.profile.emailmferdos3@une.edu.auen
local.profile.emailnconnor2@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference27th October - 1st November, 2019en
local.conference.placeArmidale, Australiaen
local.publisher.placeArmidale, Australiaen
local.format.startpage480en
local.format.endpage483en
local.url.openhttp://www.aaabg.org/aaabghome/fullproc23.phpen
local.peerreviewedYesen
local.identifier.volume23en
local.access.fulltextYesen
local.contributor.lastnameFerdosien
local.contributor.lastnameConnorsen
dc.identifier.staffune-id:mferdos3en
dc.identifier.staffune-id:nconnor2en
local.profile.orcid0000-0001-5385-4913en
local.profile.orcid0000-0003-4866-4757en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/28674en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleInvestigation into the Effects of Number of SNPs and Number of Reference Individuals on Imputation Accuracyen
local.relation.fundingsourcenoteMeat and Livestock Australia (project number L.GEN.0174)en
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.aaabg.org/aaabghome/en
local.conference.detailsAAABG 2019: 23rd Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 27 October-1 Novemberen
local.search.authorFerdosi, M Hen
local.search.authorConnors, N Ken
local.istranslatedNoen
local.uneassociationYesen
dc.date.presented2019-10-28-
local.atsiresearchNoen
local.conference.venueUniversity of New Englanden
local.sensitive.culturalNoen
local.year.published2019en
local.year.presented2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/28cb83b8-348b-421d-9b0d-07b5c8ae2472en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100401 Beef cattleen
local.date.start2019-10-27-
local.date.end2019-11-01-
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication
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