Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7181
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dc.contributor.authorSlack-Smith, Andrewen
dc.contributor.authorKinghorn, Brianen
dc.contributor.authorHickey, Johnen
dc.contributor.authorVan Der Werf, Julius Hen
local.source.editorEditor(s): Gesellschaft für Tierzuchtwissenschaften e. V.en
dc.date.accessioned2011-04-21T11:43:00Z-
dc.date.issued2010-
dc.identifier.citationProceedings of the 9th World Congress on Genetics Applied to Livestock Productionen
dc.identifier.isbn9783000316081en
dc.identifier.urihttps://hdl.handle.net/1959.11/7181-
dc.description.abstractGenome-wide association studies (GWAS) for quantitative traits in livestock are primarily focused on genomic selection and the prediction of genomic breeding values (GEBV). Genomic selection is a form of marker-assisted selection in which genetic markers covering the whole genome are used so that most QTL are in linkage disequilibrium with at least one marker (Meuwissen et al. 2001). As an alternative to gene discovery, which is genome research focused on mapping and characterising quantitative trait loci (QTL) (Gao et al. 2007) genome-wide association analysis allows prediction of breeding value or phenotype for traits of economic importance using all SNP across the whole genome simultaneously (Lee et al. 2008). Prediction of breeding vale is relevant for the stud sector, for genome assisted selection of breeding animals, whereas prediction of phenotype can be relevant in production systems, for early allocation of animals into specific cohorts. Phenotypic prediction of growth and composition aims to sort animals into homogeneous groups to increase uniformity and profitability (Tedeschi et al. 2004) and therefore helps to satisfy downstream consumers. Meat quality grade, yield grade and growth performance factors explain much of the variation in profit under grid pricing (Greer and Trapp 2000) and the cost penalties when specifications are missed can be large. Trials conducted by (Cox et al. 2006) showed 42% of product did not meet specification in the Australian food service industry. Using phenotypic prediction in the management of animals to increase the proportion that meet specification could increase profitability in sheep meat production by increasing the consistency in meeting consumer requirements. Better allocation of animals to cohorts allows better animal management and can be used to create a relationship between consumers and a product (Walker and Olson 1991) thereby increasing customer retention and satisfaction (Eriksson and Vaghult 2000). In this study we explore the accuracy of predicting phenotype for carcass and growth traits. We use data collected on animal phenotypes and genotypes based on a 50k SNP chip, using a subset of a data to estimate SNP effects and a remaining test set to evaluate the accuracy of genome based prediction of phenotype. Training and test sets were created either randomly; within sire families or across breeds.en
dc.languageenen
dc.publisherGerman Society for Animal Scienceen
dc.relation.ispartofProceedings of the 9th World Congress on Genetics Applied to Livestock Productionen
dc.titleThe accuracy of genomic selection in predicting carcass traits in meat sheepen
dc.typeConference Publicationen
dc.relation.conferenceWCGALP 2010: 9th World Congress on Genetics Applied to Livestock Productionen
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameAndrewen
local.contributor.firstnameBrianen
local.contributor.firstnameJohnen
local.contributor.firstnameJulius Hen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830310 Sheep - Meaten
local.profile.schoolEnvironmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolAgronomy and Soil Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailaslacksm@une.edu.auen
local.profile.emailbkinghor@une.edu.auen
local.profile.emailjhickey5@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20110329-122550en
local.date.conference1st - 6th August, 2010en
local.conference.placeLeipzig, Germanyen
local.publisher.placeGermanyen
local.identifier.runningnumberPaper ID 0948en
local.peerreviewedYesen
local.contributor.lastnameSlack-Smithen
local.contributor.lastnameKinghornen
local.contributor.lastnameHickeyen
local.contributor.lastnameVan Der Werfen
dc.identifier.staffune-id:aslacksmen
dc.identifier.staffune-id:bkinghoren
dc.identifier.staffune-id:jhickey5en
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:7347en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleThe accuracy of genomic selection in predicting carcass traits in meat sheepen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.wcgalp2010.org/en
local.relation.urlhttp://www.kongressband.de/wcgalp2010/assets/html/0948.htmen
local.conference.detailsWCGALP 2010: 9th World Congress on Genetics Applied to Livestock Production, Leipzig, Germany, 1-6 August, 2010en
local.search.authorSlack-Smith, Andrewen
local.search.authorKinghorn, Brianen
local.search.authorHickey, Johnen
local.search.authorVan Der Werf, Julius Hen
local.uneassociationUnknownen
local.year.published2010en
local.date.start2010-08-01-
local.date.end2010-08-06-
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