Biometry research involves development and application of statistical and computational methods for the design and analysis of comparative biological experiments. Within the School of Agriculture, Food & Wine our group has a broad research agenda. This includes research in advanced experimental design and statistical modelling of comparative experiments conducted in controlled and field environments.
We also have a strong focus on statistical genetics research including linkage map construction, whole genome QTL analysis and genome wide association studies (GWAS). As an extension of this research we are additionally focusing on the computational aspects of digital agriculture including machine learning algorithms, high performance computing as well as user friendly online and mobile applications.
Training courses and upcoming events
Introduction to R - 4 February 2019
Introduction to Experimental Design - 5 February 2019
Statistical Analysis of Agronomic Experiments - 6 - 7 February 2019
Report preparation with R - 8 February 2019
Upcoming workshop dates (subject to change) Workshops will be held in Adelaide unless specified otherwise