Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/54894
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dc.contributor.authorPaneru, Uddhaven
dc.contributor.authorVan Der Werf, Juliusen
dc.contributor.authorMoghaddar, Nasiroddinen
dc.contributor.authorBrown, Danielen
dc.date.accessioned2023-06-08T01:42:16Z-
dc.date.available2023-06-08T01:42:16Z-
dc.date.created2022-05-
dc.date.issued2023-03-27-
dc.identifier.urihttps://hdl.handle.net/1959.11/54894-
dc.description.abstract<p>Genetic evaluation of Australian sheep is conducted by Sheep Genetics Australia (SGA) for millions of animals for more than 100 traits. Sheep Genetics uses the Australian sheep genetic analysis software (OVIS), which applies a pre-adjustment of phenotypes for systematic environmental effects rather than fitting all environmental effects (fixed effects) and genetic effects (random effects) jointly in a linear mixed model to estimate breeding values. This thesis aims to compare different methods of genetic evaluation for weight and carcase traits for the Australian sheep industry with a specific emphasis on different methods of accounting for systematic environmental effects. In the first experimental chapter (Chapter 3), various methods of correcting systematic environmental effects were investigated using early body weight phenotypes in White Suffolk and Poll Dorset sheep breed. This was comprised of comparing currently available OVIS pre-adjustment factors for fixed effects with updated pre-adjustment factors, and testing a range of additional interactions between fixed effects. Correlations between EBVs obtained from different models and the regression slopes from forward prediction were used as best model selection criteria. Results showed that the updated pre-adjustment factors produced a slightly better regression slope of progeny performance on sire estimated breeding values (EBVs) than current OVIS pre-adjustment factors: 0.40 and 0.38 versus 0.37 and 0.35 for weaning weight and post-weaning weight, respectively, when averaged over two breeds. Analysis with a linear mixed model produced a significant improvement (P < 0.05) in the regression slopes (0.47 and 0.44) compared to analysis based on pre-adjusted phenotypes. A linear mixed model with flock by sex by age interaction produced better regression slopes (0.48 and 0.46) than the current linear mixed model without this interaction term. Results indicated that flock by sex by age interaction should be included in the linear mixed model for sheep genetic evaluation of early body weight traits in Australia.</p>en
dc.languageenen
dc.publisherUniversity of New England-
dc.relation.urihttps://hdl.handle.net/1959.11/62703en
dc.titleGenetic Analysis of Weight and Carcase Traits in Australian Meat Sheepen
dc.typeThesis Doctoralen
local.contributor.firstnameUddhaven
local.contributor.firstnameJuliusen
local.contributor.firstnameNasiroddinen
local.contributor.firstnameDanielen
local.hos.emailers-sabl@une.edu.auen
local.thesis.passedPasseden
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophy - PhDen
local.contributor.grantorUniversity of New England-
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.schoolAnimal Genetics and Breeding Uniten
local.profile.emailupaneru@myune.edu.auen
local.profile.emailjvanderw@une.edu.auen
local.profile.emailnmoghad4@une.edu.auen
local.profile.emaildbrown2@une.edu.auen
local.output.categoryT2en
local.access.restrictedto2024-03-27en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australia-
local.contributor.lastnamePaneruen
local.contributor.lastnameVan Der Werfen
local.contributor.lastnameMoghaddaren
local.contributor.lastnameBrownen
dc.identifier.staffune-id:upaneruen
dc.identifier.staffune-id:jvanderwen
dc.identifier.staffune-id:nmoghad4en
dc.identifier.staffune-id:dbrown2en
local.profile.orcid0000-0003-2512-1696en
local.profile.orcid0000-0002-3600-7752en
local.profile.orcid0000-0002-4786-7563en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/54894en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.thesis.bypublicationYesen
local.title.maintitleGenetic Analysis of Weight and Carcase Traits in Australian Meat Sheepen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.access.yearsrestricted1en
local.school.graduationSchool of Environmental & Rural Scienceen
local.thesis.borndigitalYes-
local.search.authorPaneru, Uddhaven
local.search.supervisorVan Der Werf, Juliusen
local.search.supervisorMoghaddar, Nasiroddinen
local.search.supervisorBrown, Danielen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.conferred2023-
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.for2020310506 Gene mappingen
local.subject.for2020310509 Genomicsen
local.subject.seo2020100412 Sheep for meaten
local.subject.seo2020100413 Sheep for woolen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
School of Environmental and Rural Science
Thesis Doctoral
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