Funded by NSF EAGER this project aims to 1) extract leaf appearance rates from images and train a genomic prediction algorithm to predict leaf appearance rate from genotypic data and 2) combine the genomic prediction algorithm with the APSIM model to perform what-if scenario analysis at scale. Project PI: Lizhi Wang, Co-PIs: Sotirios Archontoulis, Guiping Hu, Patrick Schnable, Baskar Ganapathysubramanian