Predicting photosystem II heat tolerance in cropsThis project integrates high-throughput phenotyping, machine learning, and molecular biology to develop a non-invasive method for predicting Tcrit and investigating the regulatory mechanisms underlying its acclimation. The goal is to identify genotypic variation and physiological traits linked to PSII resilience and to enable rapid, scalable selection of heat-tolerant genotypes across both horticultural and broad-acre crops.
