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dc.contributor.advisorBarker, Richard
dc.contributor.advisorDodds, Ken
dc.contributor.advisorLee, Michael
dc.contributor.advisorSchofield, Matthew
dc.contributor.authorHolmes, John Barrett
dc.date.available2018-03-05T20:24:56Z
dc.date.copyright2018
dc.identifier.citationHolmes, J. B. (2018). Modelling strategies to improve genetic evaluation for the New Zealand sheep industry (Thesis, Doctor of Philosophy). University of Otago. Retrieved from http://hdl.handle.net/10523/7885en
dc.identifier.urihttp://hdl.handle.net/10523/7885
dc.description.abstractThe question of how best to optimise the accuracy of genetic evaluation for livestock populations has been given new life by the advent of genomics. Therefore we will investigate methods of evaluating and/or improving the accuracy of genetic evaluation in ways applicable to genotyped populations, while trying to maximise computational efficiency. We will explore modelling strategies with utility outside animal breeding, including examples of these potential non-animal breeding applications.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Otago
dc.rightsAll items in OUR Archive are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectQuantitative-Genetics
dc.subjectLinear-mixed-models
dc.subjectGenetic-evaluation-of-livestock
dc.subjectLatent-variable-models
dc.titleModelling strategies to improve genetic evaluation for the New Zealand sheep industry
dc.typeThesis
dc.date.updated2018-03-05T02:54:30Z
dc.language.rfc3066en
thesis.degree.disciplineMathematics and Statistics
thesis.degree.nameDoctor of Philosophy
thesis.degree.grantorUniversity of Otago
thesis.degree.levelDoctoral
otago.openaccessOpen
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