Exploring multi-omics resources to improve prediction
Genomic prediction frameworks.
The overarching goal of Theme 1 is to develop new methodologies for each of the major genomic prediction frameworks to enable integration of multi-omics data for improved prediction accuracy of complex breeding traits.
Objectives:
Develop methodologies to integrate multi-omics data to improve prediction of performance across species
Investigate approaches that utilise low-cost alternative multi-omic data in routine breeding applications
Equip students and industry with skills to efficiently handle complex data and deploy new prediction frameworks
Theme 1 example projects
project
Combining drone-captured phenotypes and genomic prediction to optimise clonal selection in sugarcane
project
Epi-bunch: accelerating clonal selection for grapevine using (epi)genomics
