Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/2377
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dc.contributor.authorDing, Meimeien
dc.contributor.authorGilmour, Arthuren
dc.contributor.authorTier, Bruceen
dc.date.accessioned2009-09-14T14:33:00Z-
dc.date.created2008en
dc.date.issued2009-
dc.identifier.urihttps://hdl.handle.net/1959.11/2377-
dc.description.abstractThe importance of genotype by environment (GxE) interaction can help breeders to determine an optimal breeding program. The efficiency of a breeding program relies on precise information relating to the GxE interactions. Alternative techniques were applied on three series of controlled mating experiments data to address different issues of GxE interactions. The GxE interaction for different traits, different genetic levels and different ages were examined. Four classical methods were used to analyze GxE interactions from population to individual levels. REML approaches based on mixed linear models were used to test the sources of GxE interactions, and to measure the GxE interactions by correcting for the heterogeneity of variances. Using pedigree information, the additive and non-additive genetic variances were partitioned and therefore the concepts of GxE interactions were extended for different genetic levels. The techniques of GGE biplot analysis and factor analytical model (FA2) were used to verify the patterns of GxE interactions in different trial series. The spatial analysis was explored to identify the possible causes of spatial patterns and investigate the microenvironments and genotype by microenvironment interaction within each trial. The theoretical genetic gain was predicted for specific vs. broad adaptation strategies. ... The methods used in this study provide different types of information. Compared with traditional methods, the REML approach shows its power for interpreting GxE interactions. Factor analytic and spatial model can be further explored to provide more underlying information relating to the occurrence of GxE interactions.en
dc.languageenen
dc.titleIncreasing the Accuracy of Analyzing GXE Interaction and Integrating the Information to 'P. Radiata' Breeding Programen
dc.typeThesis Doctoralen
dc.subject.keywordsQuantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.contributor.firstnameMeimeien
local.contributor.firstnameArthuren
local.contributor.firstnameBruceen
local.access.embargoedto2009-12-08en
local.subject.for2008060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)en
local.subject.seo620302 Softwood Plantationsen
dcterms.RightsStatementCopyright 2008 - Meimei Dingen
dc.date.conferred2009en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolAnimal Genetics and Breeding Uniten
local.profile.emailmding@une.edu.auen
local.profile.emailarthur.gilmour@dpi.nsw.gov.en
local.profile.emailbtier@une.edu.auen
local.output.categoryT2en
local.access.restrictedtoAccess restricted until 2009-12-08en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20081208-111122en
local.contributor.lastnameDingen
local.contributor.lastnameGilmouren
local.contributor.lastnameTieren
dc.identifier.staffune-id:mdingen
dc.identifier.staffune-id:btieren
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:2450en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleIncreasing the Accuracy of Analyzing GXE Interaction and Integrating the Information to 'P. Radiata' Breeding Programen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.access.restrictuntil2009-12-08en
local.thesis.borndigitalyesen
local.search.authorDing, Meimeien
local.search.supervisorGilmour, Arthuren
local.search.supervisorTier, Bruceen
local.uneassociationYesen
local.year.conferred2009en
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Thesis Doctoral
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