Multi-Omics-Data-Assisted Genomic Prediction Incorporating Genotype-by-Environment Interaction

Objetivo:

Introduce students to coventional and new prediction methods/paradigms that can be applied towards cultivar development considering the integration of multi-omics/layers of information (genomic, high-throughput phenotypic/remote sensing, weather, soil etc.) Additionally, students will have experience in novel topics such as the utilization of sparse testing design for optimizing resources (seed availability, land, weather, reduce testing costs) and the integration of multiple omics for classifying cultivars with the potential applications to study tolerance and resistance to biotic and abiotic factors.