Multi-Omic Integration for Applied Prediction Breeding

3 Credits

Intended for students in Plant and Animal Sciences with emphasis on breeding applications. Students will learn the basis for modeling trait performance of genotypes assisted by the integration of multiple data types ‘omics’ under different approaches (parametric, non-parametric AI). Relevant topics for private industry and research institutions will be covered (AI methods implemented for genomic prediction GP, G×E Interactions, multi-trait prediction, sparse testing designs, etc.)