Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14644
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dc.contributor.authorClark, Sam Aen
dc.contributor.authorKinghorn, Brianen
dc.contributor.authorHickey, Johnen
dc.contributor.authorVan Der Werf, Julius Hen
dc.date.accessioned2014-04-10T13:42:00Z-
dc.date.issued2013-
dc.identifier.citationGenetics Selection Evolution, v.45, p. 1-8en
dc.identifier.issn1297-9686en
dc.identifier.issn0999-193Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/14644-
dc.description.abstractBackground: Long-term benefits in animal breeding programs require that increases in genetic merit be balanced with the need to maintain diversity (lost due to inbreeding). This can be achieved by using optimal contribution selection. The availability of high-density DNA marker information enables the incorporation of genomic data into optimal contribution selection but this raises the question about how this information affects the balance between genetic merit and diversity. Methods: The effect of using genomic information in optimal contribution selection was examined based on simulated and real data on dairy bulls. We compared the genetic merit of selected animals at various levels of co-ancestry restrictions when using estimated breeding values based on parent average, genomic or progeny test information. Furthermore, we estimated the proportion of variation in estimated breeding values that is due to within-family differences. Results: Optimal selection on genomic estimated breeding values increased genetic gain. Genetic merit was further increased using genomic rather than pedigree-based measures of co-ancestry under an inbreeding restriction policy. Using genomic instead of pedigree relationships to restrict inbreeding had a significant effect only when the population consisted of many large full-sib families; with a half-sib family structure, no difference was observed. In real data from dairy bulls, optimal contribution selection based on genomic estimated breeding values allowed for additional improvements in genetic merit at low to moderate inbreeding levels. Genomic estimated breeding values were more accurate and showed more within-family variation than parent average breeding values; for genomic estimated breeding values, 30 to 40% of the variation was due to within-family differences. Finally, there was no difference between constraining inbreeding via pedigree or genomic relationships in the real data. Conclusions: The use of genomic estimated breeding values increased genetic gain in optimal contribution selection. Genomic estimated breeding values were more accurate and showed more within-family variation, which led to higher genetic gains for the same restriction on inbreeding. Using genomic relationships to restrict inbreeding provided no additional gain, except in the case of very large full-sib families.en
dc.languageenen
dc.publisherBioMed Central Ltden
dc.relation.ispartofGenetics Selection Evolutionen
dc.titleThe effect of genomic information on optimal contribution selection in livestock breeding programsen
dc.typeJournal Articleen
dc.identifier.doi10.1186/1297-9686-45-44en
dcterms.accessRightsGolden
dc.subject.keywordsQuantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.contributor.firstnameSam Aen
local.contributor.firstnameBrianen
local.contributor.firstnameJohnen
local.contributor.firstnameJulius Hen
local.subject.for2008060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.subject.seo2008830302 Dairy Cattleen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolEnvironmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailsclark37@une.edu.auen
local.profile.emailbkinghor@une.edu.auen
local.profile.emailjhickey5@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20140311-104351en
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber44en
local.format.startpage1en
local.format.endpage8en
local.identifier.scopusid84886520072en
local.peerreviewedYesen
local.identifier.volume45en
local.access.fulltextYesen
local.contributor.lastnameClarken
local.contributor.lastnameKinghornen
local.contributor.lastnameHickeyen
local.contributor.lastnameVan Der Werfen
dc.identifier.staffune-id:sclark37en
dc.identifier.staffune-id:bkinghoren
dc.identifier.staffune-id:jhickey5en
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0001-8605-1738en
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:14859en
local.identifier.handlehttps://hdl.handle.net/1959.11/14644en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleThe effect of genomic information on optimal contribution selection in livestock breeding programsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorClark, Sam Aen
local.search.authorKinghorn, Brianen
local.search.authorHickey, Johnen
local.search.authorVan Der Werf, Julius Hen
local.uneassociationUnknownen
local.identifier.wosid000329409400001en
local.year.published2013en
local.subject.for2020310506 Gene mappingen
local.subject.seo2020100402 Dairy cattleen
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