Studying for Doctor of Philosophy
Area of study:
Investigation into optimisation of genetic evaluation accuracy and bias in the New Zealand sheep industry
Supervisor: Richard Barker—
Title: Investigation into optimisation of genetic evaluation accuracy and bias in the New Zealand Sheep Industry
Supervisors: Richard Barker, Michael Lee, Matt Schofield, Ken Dodds (AgResearch)
Previous Degrees: BSc Hons(Otago), BA (Otago)
My research is looking at large-scale genetic evaluations in the NZ Sheep industry, in particular on what impact the inability/impracticality of estimating distant genetic ancestry has on the prediction of genetic worth. This research is conducted in the framework of linear mixed models with the emphasis being on the random effects and determining what is the most appropriate covariance structure for the random effects when genotype data as well as pedigree data is available for at least some animals.
- J.B. Holmes, B. Auvray, S.A. Newman, K.G. Dodds, M.A. Lee 2015. A comparison of genetic connectedness measures using data from the NZ sheep industry. Proceedings of the AAABG 21st Conference: 469-472.
- J.B Holmes, K.G. Dodds and M.A. Lee 2017. Estimation of genetic connectedness diagnostics based on prediction errors without the prediction error variance - covariance matrix. Genetics Selection Evolution 49:29