Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/27092
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dc.contributor.authorMeyer, Karinen
dc.contributor.authorTier, Bruceen
dc.contributor.authorSwan, Andrewen
dc.date.accessioned2019-06-06T03:12:37Z-
dc.date.available2019-06-06T03:12:37Z-
dc.date.issued2018-
dc.identifier.citationGenetics Selection Evolution, v.50, p. 1-11en
dc.identifier.issn1297-9686en
dc.identifier.urihttps://hdl.handle.net/1959.11/27092-
dc.description.abstractBackground: A common measure employed to evaluate the efficacy of livestock improvement schemes is the genetic trend, which is calculated as the means of predicted breeding values for animals born in successive time periods. This implies that different cohorts refer to the same base population. For genetic evaluation schemes integrating genomic information with records for all animals, genotyped or not, this is often not the case: expected means for pedigree founders are zero whereas values for genotyped animals are expected to sum to zero at the (mean) time corresponding to the frequencies that are used to center marker allele counts when calculating genomic relationships. Methods: The paper examines estimates of genetic trends from single-step genomic evaluations. After a review of methods which propose to align pedigree-based and genomic relationship matrices, simulation is used to illustrate the effects of alignments and choice of assumed gene frequencies on trajectories of genetic trends. Results: The results show that methods available to alleviate differences between the founder populations implied by the two types of relationship matrices perform well; in particular, the meta-founder approach is advantageous. An application to data from routine genetic evaluation of Australian sheep is shown, confirming their effectiveness for practical data. Conclusions: Aligning pedigree and genomic relationship matrices for single step genetic evaluation for populations under selection is essential. Fitting meta-founders is an effective and simple method to avoid distortion of estimates of genetic trends.en
dc.languageenen
dc.publisherBioMed Central Ltden
dc.relation.ispartofGenetics Selection Evolutionen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleEstimates of genetic trend for single-step genomic evaluationsen
dc.typeJournal Articleen
dc.identifier.doi10.1186/s12711-018-0410-1en
dcterms.accessRightsUNE Greenen
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameKarinen
local.contributor.firstnameBruceen
local.contributor.firstnameAndrewen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830311 Sheep - Woolen
local.subject.seo2008830301 Beef Cattleen
local.subject.seo2008830310 Sheep - Meaten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailkmeyer@une.edu.auen
local.profile.emailbtier@une.edu.auen
local.profile.emailaswan@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-chute-20180828-093106en
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber39en
local.format.startpage1en
local.format.endpage11en
local.peerreviewedYesen
local.identifier.volume50en
local.access.fulltextYesen
local.accessRightsgolden
local.contributor.lastnameMeyeren
local.contributor.lastnameTieren
local.contributor.lastnameSwanen
dc.identifier.staffune-id:kmeyeren
dc.identifier.staffune-id:btieren
dc.identifier.staffune-id:aswanen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:-chute-20180828-093106en
local.identifier.unepublicationidune:-chute-20180828-093106en
local.date.onlineversion2018-08-03-
local.portfolio.urlhttp://dx.doi.org/10.1186/s12711-018-0410-1en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEstimates of genetic trend for single-step genomic evaluationsen
local.relation.fundingsourcenoteMeat and Livestock Australia (Grant number: L.GEN.1704)en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorMeyer, Karinen
local.search.authorTier, Bruceen
local.search.authorSwan, Andrewen
local.open.fileurlhttps://rune.une.edu.auweb/retrieve/a563f618-3498-402d-99ba-63bd4e18173ben
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Journal Article
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