New approaches to model GxExM interactions
Improving prediction accuracy.
The core focus of Theme 3 is to develop innovative approaches to model GxExM interactions to improve prediction accuracy for future target environments, novel agronomic management strategies, unmeasured traits and design of new genotypes, which are requirements to meet ensuing sustainability metrics.
Objectives:
Develop novel methodologies that combine classic statistical approaches, dynamic biophysical models, and ML methods for enhanced prediction of GxExM interactions
Develop deployable predictive tools in commercial breeding programs that address computational issues associated with the multi-dimensional structure of GxExM interactions
Build capacity in the next generation of breeders to employ statistical and dynamic modelling of GxExM
Theme 3 example projects
project
APSIM-WGP for yield stability in soybean
project
Modelling GxExM to improve feed efficiency in dairy cattle
