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dc.contributor.advisorWeaber, Robert Lewis, 1970-eng
dc.contributor.authorRolf, Megan M.eng
dc.date.issued2009eng
dc.date.submitted2009 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on September 24, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Robert L. Weaber.eng
dc.descriptionM.S. University of Missouri--Columbia 2009.eng
dc.description.abstract[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] A genomic relationship matrix was built using 1,707 Angus AI sires with complete pedigree information and 698 Angus steers with only paternity information. The genomic matrix was used to estimate breeding values (EBVs) on both sires and steers and residuals were estimated on the steers. EBV and residuals were combined to produce adjusted phenotypes corrected for fixed effects (year and season of birth within feeding pen) for three feed efficiency related traits (average daily feed intake, AFI; residual feed intake, RFI; and average daily gain, ADG). These dependent variables were used for whole genome association analysis. A genome-wide significance of threshold equivalent to p [less than] 0.05 was determined via dependant variable permutation analysis to control experiment wide error rate. Final models for the three traits were assembled using EBVs of steers and explained 54.097%, 62.687% and 54.724% of the genetic variance in AFI, RFI and ADG, respectively. Utility of predicted feed intakes for genetic selection was also tested. Predicted feed intakes (pDMR) were estimated using the Cornell Value Discovery System (CVDS) and were adjusted for fixed effects and EBVs were estimated. Whole genome analysis was performed and concordant SNP associations for ADG, RFI and AFI were identified. Index selection may include pDMR to increase information on feed intake, however correlated responses in ADG are likely if not used within an index.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentxiii, 104 pageseng
dc.identifier.oclc697829206eng
dc.identifier.urihttps://doi.org/10.32469/10355/9658eng
dc.identifier.urihttps://hdl.handle.net/10355/9658
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsAccess is limited to the campus of the University of Missouri--Columbia.eng
dc.subjectQuantitative trait loci ;single-nucleotide polymorphismeng
dc.subject.lcshBeef cattle -- Geneticseng
dc.subject.lcshBeef cattle -- Genome mappingeng
dc.subject.lcshBeef cattle -- Breedingeng
dc.subject.lcshQuantitative geneticseng
dc.subject.lcshGenetic polymorphismseng
dc.titleImplementation of high-density SNP data for genetic evaluation and QTL discovery in beef cattleeng
dc.typeThesiseng
thesis.degree.disciplineAnimal sciences (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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