Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56403
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dc.contributor.authorMoore, K Len
dc.contributor.authorFerdosi, M Hen
dc.contributor.authorGirard, C Gen
dc.contributor.authorWalkom, S Fen
dc.contributor.authorJohnston, D Jen
local.source.editorEditor(s): Veerkamp, R.F and De Hass, Yen
dc.date.accessioned2023-10-25T01:38:15Z-
dc.date.available2023-10-25T01:38:15Z-
dc.date.issued2022-
dc.identifier.citationProceedings of the 12th World Congress on Genetics Applied to Livestock Production, v.12, p. 1221-1224en
dc.identifier.isbn978-90-8686-940-4en
dc.identifier.urihttps://hdl.handle.net/1959.11/56403-
dc.description.abstract<p>Research has shown that to maximise benefits (i.e. EBV accuracy and spread and decreased generation interval) of genomic selection, reference populations of genotyped and phenotyped animals need to be large, diverse in relationships and closely related to the selection generation. In practice, applying these design principles can be challenging as metrics to aid decision making are often not available. This paper applies a metric that objectively describes reference populations and their impact on accuracy for seven Australian beef populations. All populations for live weight and abattoir carcase had different levels of phenotyping, genotyping and overall size. Carcase traits had the lowest reference population size, and assessment of average relatedness in almost all the breeds showed there were herds that were not currently represented in the reference population. Generally, increasing reference size resulted in increased accuracy, but there were some exceptions. The metrics described in this paper are easy to apply and can assist in the construction of reference populations.</p>en
dc.languageenen
dc.publisherWageningen Academic Publishersen
dc.relation.ispartofProceedings of the 12th World Congress on Genetics Applied to Livestock Productionen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA new metric to assess reference populations for genomic selection in Australian beef breedsen
dc.typeConference Publicationen
dc.relation.conference12th World Congress on Genetics Applied to Livestock Productionen
dc.identifier.doi10.3920/978-90-8686-940-4_290en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameK Len
local.contributor.firstnameM Hen
local.contributor.firstnameC Gen
local.contributor.firstnameS Fen
local.contributor.firstnameD Jen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailkmoore7@une.edu.auen
local.profile.emailmferdos3@une.edu.auen
local.profile.emailcgirard@une.edu.auen
local.profile.emailswalkom@une.edu.auen
local.profile.emaildjohnsto@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference3 – 8 July, 2022en
local.conference.placeRotterdam, The Netherlandsen
local.publisher.placeThe Netherlandsen
local.format.startpage1221en
local.format.endpage1224en
local.peerreviewedYesen
local.identifier.volume12en
local.access.fulltextYesen
local.contributor.lastnameMooreen
local.contributor.lastnameFerdosien
local.contributor.lastnameGirarden
local.contributor.lastnameWalkomen
local.contributor.lastnameJohnstonen
dc.identifier.staffune-id:kmoore7en
dc.identifier.staffune-id:mferdos3en
dc.identifier.staffune-id:cgirarden
dc.identifier.staffune-id:swalkomen
dc.identifier.staffune-id:djohnstoen
local.profile.orcid0000-0001-6779-0148en
local.profile.orcid0000-0001-5385-4913en
local.profile.orcid0000-0003-0542-7073en
local.profile.orcid0000-0002-2275-0318en
local.profile.orcid0000-0002-4995-8311en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/56403en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA new metric to assess reference populations for genomic selection in Australian beef breedsen
local.relation.fundingsourcenoteThis work was supported by Meat and Livestock Australia (L.GEN.1904).en
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttps://www.wageningenacademic.com/doi/abs/10.3920/978-90-8686-940-4_290en
local.conference.details12th World Congress on Genetics Applied to Livestock Production, Rotterdam, The Netherlands, 3 – 8 July, 2022en
local.search.authorMoore, K Len
local.search.authorFerdosi, M Hen
local.search.authorGirard, C Gen
local.search.authorWalkom, S Fen
local.search.authorJohnston, D Jen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/ecbe5510-e23d-4940-b830-c82f24feac0den
local.uneassociationYesen
dc.date.presented2022-07-04-
local.atsiresearchNoen
local.conference.venueDe Doelen International Conference Center Rotterdam Schouwburgplein 50 Rotterdam, The Netherlandsen
local.sensitive.culturalNoen
local.year.published2022en
local.year.presented2022en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/ecbe5510-e23d-4940-b830-c82f24feac0den
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/ecbe5510-e23d-4940-b830-c82f24feac0den
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.seo2020100401 Beef cattleen
local.date.start2022-07-03-
local.date.end2022-07-08-
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
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