Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/3145
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLi, Yongjinen
dc.contributor.authorVan Der Werf, Julius Hermanen
dc.contributor.authorKinghorn, Brianen
dc.date.accessioned2009-11-18T15:33:00Z-
dc.date.issued2006-
dc.identifier.citationGenetics Selection Evolution, 38(2), p. 147-165en
dc.identifier.issn1297-9686en
dc.identifier.issn0999-193Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/3145-
dc.description.abstractA simple model based on one single identified quantitative trait locus (QTL) in a two-way crossing system was used to demonstrate the power of mate selection algorithms as a natural means of opportunistic line development for optimization of crossbreeding programs over multiple generations. Mate selection automatically invokes divergent selection in two parental lines for an over-dominant QTL and increased frequency of the favorable allele toward fixation in the sire-line for a fully-dominant QTL. It was concluded that an optimal strategy of line development could be found by mate selection algorithms for a given set of parameters such as genetic model of QTL, breeding objective and initial frequency of the favorable allele in the base populations, etc. The same framework could be used in other scenarios, such as programs involving crossing to exploit breed effects and heterosis. In contrast to classical index selection, this approach to mate selection can optimize long-term responses.en
dc.languageenen
dc.publisherBioMed Central Ltden
dc.relation.ispartofGenetics Selection Evolutionen
dc.titleOptimization of a crossing system using mate selectionen
dc.typeJournal Articleen
dc.identifier.doi10.1051/gse:2005033en
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameYongjinen
local.contributor.firstnameJulius Hermanen
local.contributor.firstnameBrianen
local.subject.for2008070201 Animal Breedingen
local.subject.seo2008830308 Pigsen
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.emailjvanderw@une.edu.auen
local.profile.emailbkinghor@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:4323en
local.publisher.placeUnited Kingdomen
local.format.startpage147en
local.format.endpage165en
local.identifier.scopusid33645782542en
local.peerreviewedYesen
local.identifier.volume38en
local.identifier.issue2en
local.contributor.lastnameLien
local.contributor.lastnameVan Der Werfen
local.contributor.lastnameKinghornen
dc.identifier.staffune-id:jvanderwen
dc.identifier.staffune-id:bkinghoren
local.profile.orcid0000-0003-2512-1696en
local.profile.orcid0000-0002-3778-7615en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:3228en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleOptimization of a crossing system using mate selectionen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLi, Yongjinen
local.search.authorVan Der Werf, Julius Hermanen
local.search.authorKinghorn, Brianen
local.uneassociationUnknownen
local.identifier.wosid000236002600002en
local.year.published2006en
Appears in Collections:Journal Article
School of Environmental and Rural Science
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

10
checked on Aug 17, 2024

Page view(s)

1,192
checked on Jun 11, 2023

Download(s)

2
checked on Jun 11, 2023
Google Media

Google ScholarTM

Check

Altmetric


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