Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28582
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dc.contributor.authorFerdosi, Mohammad Hen
dc.contributor.authorConnors, Natalie Ken
dc.contributor.authorTier, Bruceen
dc.date.accessioned2020-04-21T05:17:13Z-
dc.date.available2020-04-21T05:17:13Z-
dc.date.issued2019-06-25-
dc.identifier.citationFrontiers in Genetics, v.10, p. 1-6en
dc.identifier.issn1664-8021en
dc.identifier.urihttps://hdl.handle.net/1959.11/28582-
dc.description.abstractDiagonal elements of the coefficient matrix are necessary to calculate the genomic prediction accuracy. Here an improved methodology is described, to update the inverse of the coefficient matrix (C) for new individuals with a genotype, with and without phenotypes. Computational performance is significantly improved by re-using parts of the coefficient matrix inverse calculations that do not change from one animal to another, in combination with updated calculations for those that do change. This method expedites calculation of accuracy for new individuals with genotypes, without re-doing the whole population, by using the previously calculated matrices.en
dc.languageenen
dc.publisherFrontiers Research Foundationen
dc.relation.ispartofFrontiers in Geneticsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleAn Efficient Method to Calculate Genomic Prediction Accuracy for New Individualsen
dc.typeJournal Articleen
dc.identifier.doi10.3389/fgene.2019.00596en
dc.identifier.pmid31293622en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameMohammad Hen
local.contributor.firstnameNatalie Ken
local.contributor.firstnameBruceen
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.schoolAnimal Genetics and Breeding Uniten
local.profile.emailmferdos3@une.edu.auen
local.profile.emailnconnor2@une.edu.auen
local.profile.emailbtier@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber596en
local.format.startpage1en
local.format.endpage6en
local.identifier.scopusid85069037824en
local.peerreviewedYesen
local.identifier.volume10en
local.access.fulltextYesen
local.contributor.lastnameFerdosien
local.contributor.lastnameConnorsen
local.contributor.lastnameTieren
dc.identifier.staffune-id:mferdos3en
dc.identifier.staffune-id:nconnor2en
dc.identifier.staffune-id:btieren
local.profile.orcid0000-0001-5385-4913en
local.profile.orcid0000-0003-4866-4757en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/28582en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAn Efficient Method to Calculate Genomic Prediction Accuracy for New Individualsen
local.relation.fundingsourcenoteMeat and Livestock Australia (project number L.GEN.0174)en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorFerdosi, Mohammad Hen
local.search.authorConnors, Natalie Ken
local.search.authorTier, Bruceen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/cb9f5e0a-4367-40ab-af9a-f8263c1909bfen
local.istranslatedNoen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000473199300001en
local.year.published2019en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/cb9f5e0a-4367-40ab-af9a-f8263c1909bfen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/cb9f5e0a-4367-40ab-af9a-f8263c1909bfen
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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