Daniel Tolhurst
PhD student
Research at the Highlander Lab
Implementing efficient linear mixed model approaches for global plant breeding programmes.
Main goals:
- Integrated factor analytic linear mixed model (IFA-LMM) for plant breeding multi-environment trial (MET) data which includes environmental stress covariates
- Additive and dominance genomic relationship matrices (GRMs) which account for the non-random mating (inbreeding) inherent to plant breeding populations
- Genomic prediction of general and specific combining ability in hybrid breeding programmes in the presence of genotype by environment (GxE) interaction
- Efficient computation of the IFA-LMM for global breeding data in real time
Background
I have a strong theoretical and practical background in applied statistics, biometrics and quantitative genetics. Prior to moving to Edinburgh, I held a research position under Professor Brian Cullis and Dr Alison Smith at The University of Wollongong, Australia, with major projects for the Australian Grains Industry and Department of Fisheries. I am now undertaking a PhD at the Roslin Institute to implement efficient linear mixed model approaches in their global breeding pipeline.
I am specifically interested in:
|
|
Programming language and software:
|
|