Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/14597
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dc.contributor.authorClark, Sam Aen
dc.contributor.authorVan Der Werf, Julius Hen
local.source.editorEditor(s): Cedric Gondro, Julius van der Werf, Ben Hayesen
dc.date.accessioned2014-04-08T11:32:00Z
dc.date.issued2013en
dc.identifier.citationGenome-Wide Association Studies and Genomic Prediction, p. 321-330en
dc.identifier.isbn9781627034470en
dc.identifier.isbn9781627034463en
dc.identifier.urihttps://hdl.handle.net/1959.11/14597en
dc.description.abstractGenomic best linear unbiased prediction (gBLUP) is a method that utilizes genomic relationships to estimate the genetic merit of an individual. For this purpose, a genomic relationship matrix is used, estimated from DNA marker information. The matrix defines the covariance between individuals based on observed similarity at the genomic level, rather than on expected similarity based on pedigree, so that more accurate predictions of merit can be made. gBLUP has been used for the prediction of merit in livestock breeding, may also have some applications to the prediction of disease risk, and is also useful in the estimation of variance components and genomic heritabilities.en
dc.languageenen
dc.publisherHumana Pressen
dc.relation.ispartofGenome-Wide Association Studies and Genomic Predictionen
dc.relation.ispartofseriesMethods in Molecular Biologyen
dc.relation.isversionof1en
dc.titleGenomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Valuesen
dc.typeBook Chapteren
dc.identifier.doi10.1007/978-1-62703-447-0_13en
dc.subject.keywordsQuantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.contributor.firstnameSam Aen
local.contributor.firstnameJulius Hen
local.subject.for2008060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.subject.seo2008830311 Sheep - Woolen
local.identifier.epublicationsvtls086682500en
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailsclark37@une.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.output.categoryB1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20140311-094810en
local.publisher.placeNew York, United States of Americaen
local.identifier.totalchapters26en
local.format.startpage321en
local.format.endpage330en
local.series.issn1940-6029en
local.series.issn1064-3745en
local.series.number1019en
local.contributor.lastnameClarken
local.contributor.lastnameVan Der Werfen
dc.identifier.staffune-id:sclark37en
dc.identifier.staffune-id:jvanderwen
local.profile.orcid0000-0001-8605-1738en
local.profile.orcid0000-0003-2512-1696en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:14812en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGenomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Valuesen
local.output.categorydescriptionB1 Chapter in a Scholarly Booken
local.relation.urlhttp://trove.nla.gov.au/version/198468706en
local.description.statisticsepubsVisitors: 193<br />Views: 204<br />Downloads: 2en
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