Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/28838
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMoghaddar, Nen
dc.contributor.authorMacLeod, I Men
dc.contributor.authorDuijvesteijn, Nen
dc.contributor.authorBolormaa, Sen
dc.contributor.authorKhansefid, Men
dc.contributor.authorAl-Mamun, Hen
dc.contributor.authorClark, Sen
dc.contributor.authorSwan, A Aen
dc.contributor.authorDaetwyler, H Den
dc.contributor.authorvan der Werf, J H Jen
dc.date.accessioned2020-06-05T06:05:49Z-
dc.date.available2020-06-05T06:05:49Z-
dc.date.issued2018-
dc.identifier.citationProceedings of the World Congress on Genetics Applied to Livestock Production, v.11, p. 1-7en
dc.identifier.urihttps://hdl.handle.net/1959.11/28838-
dc.descriptionThese proceedings are only published online. As such, there is no front matter per se. Therefore, the proceedings list from the website has been included here as front matter (i.e. evidence the article was published). <br/> An alternative website with the title "11th World Congress on Genetics Applied to Livestock Production" is located here: https://royalsociety.org.nz/events/11th-world-congress-on-genetics-applied-to-livestock-production/en
dc.description.abstractThis study investigates improvement in accuracy of genomic prediction for growth and eating quality traits in Australian sheep populations based on selected variants from imputed whole genome sequence (WGS) data combined with a 50k-SNP array. Selection of SNP variants was based on single trait multi-breed genome wide association studies (GWAS) on WGS data in an independent data subset. Genomic prediction was based on genomic best linear unbiased prediction (GBLUP) using training sets of between 6,353 and 11,067 multi-breed purebred and crossbred animals. Four different genotype sets were compared: 50k SNP genotypes, WGS variants, selected sequence variants from GWAS and selected sequence variants combined with 50k genotypes. The latter set was modeled as either one or as two subsets with different variance components. Results showed a substantial improvement in prediction accuracy when selected sequence variants from GWAS were added to the standard 50k-SNP array. Absolute value of increase in accuracy across different traits was on average 6.2% and 4.1% for purebred and crossbred Merino sheep, respectively, when selected sequence variants and 50k genotypes were fitted as two variance components simultaneously. The improvement in prediction accuracy across different traits was on average 4.4% and 3.8% for purebred and crossbred Merino sheep, respectively, when selected sequence variants combined with 50k SNP arrays were fitted as one variance component.en
dc.languageenen
dc.publisherMassey Universityen
dc.relation.ispartofProceedings of the World Congress on Genetics Applied to Livestock Productionen
dc.titleGenomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populationsen
dc.typeConference Publicationen
dc.relation.conferenceWCGALP 2018: 11th World Congress on Genetics Applied to Livestock Productionen
dcterms.accessRightsGolden
local.contributor.firstnameNen
local.contributor.firstnameI Men
local.contributor.firstnameNen
local.contributor.firstnameSen
local.contributor.firstnameMen
local.contributor.firstnameHen
local.contributor.firstnameSen
local.contributor.firstnameA Aen
local.contributor.firstnameH Den
local.contributor.firstnameJ H Jen
local.subject.for2008070201 Animal Breedingen
local.subject.for2008060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.subject.for2008060408 Genomicsen
local.subject.seo2008830310 Sheep - Meaten
local.subject.seo2008830311 Sheep - Woolen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailnmoghad4@une.edu.auen
local.profile.emailnduijves@une.edu.auen
local.profile.emailsclark37@une.edu.auen
local.profile.emailaswan@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference11th - 16th February, 2018en
local.conference.placeAuckland, New Zealanden
local.publisher.placePalmerston North, New Zealanden
local.identifier.runningnumber456en
local.format.startpage1en
local.format.endpage7en
local.url.openhttp://www.wcgalp.org/system/files/proceedings/2018/genomic-evaluation-based-selected-variants-imputed-whole-genome-sequence-data-australian-sheep.pdfen
local.peerreviewedYesen
local.identifier.volume11en
local.access.fulltextYesen
local.contributor.lastnameMoghaddaren
local.contributor.lastnameMacLeoden
local.contributor.lastnameDuijvesteijnen
local.contributor.lastnameBolormaaen
local.contributor.lastnameKhansefiden
local.contributor.lastnameAl-Mamunen
local.contributor.lastnameClarken
local.contributor.lastnameSwanen
local.contributor.lastnameDaetwyleren
local.contributor.lastnamevan der Werfen
dc.identifier.staffune-id:nmoghad4en
dc.identifier.staffune-id:nduijvesen
dc.identifier.staffune-id:sclark37en
dc.identifier.staffune-id:aswanen
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0002-3600-7752en
local.profile.orcid0000-0001-8605-1738en
local.profile.orcid0000-0001-8048-3169en
local.profile.orcid0000-0003-2512-1696en
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:1959.11/28838en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGenomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populationsen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.wcgalp.org/proceedings/2018en
local.conference.detailsWCGALP 2018: 11th World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand, 11th - 16th February, 2018en
local.search.authorMoghaddar, Nen
local.search.authorMacLeod, I Men
local.search.authorDuijvesteijn, Nen
local.search.authorBolormaa, Sen
local.search.authorKhansefid, Men
local.search.authorAl-Mamun, Hen
local.search.authorClark, Sen
local.search.authorSwan, A Aen
local.search.authorDaetwyler, H Den
local.search.authorvan der Werf, J H Jen
local.istranslatedNoen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2018en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/5bc371ff-c268-4561-a985-f877c97543c9en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.for2020310506 Gene mappingen
local.subject.for2020310509 Genomicsen
local.subject.seo2020100412 Sheep for meaten
local.subject.seo2020100413 Sheep for woolen
local.date.start2018-02-11-
local.date.end2018-02-16-
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication
School of Environmental and Rural Science
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

Page view(s)

2,260
checked on Jun 16, 2024

Download(s)

2
checked on Jun 16, 2024
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.