Funded by NSF (LEAP-HI/GOALI) this project aims to: 1) accurately predict plant phenotypes based on genetic, agronomic management and environmental data; 2) design cultivars with superior phenotypes; 3) design crop management strategies to assure that crops achieve superior phenotypes under changing environments. The team will use crop modeling, machine learning and optimization tools to analyze public and industry datasets towards designing new crop varieties for genetic adaptation to changing environments. Project PI: Lizhi Wang, co-PIs: Guiping Hu, Bill Beavis, and Sotirios Archontoulis