A University of Illinois study published in Agronomy developed an algorithm that predicts end-of-season US Midwest corn yield and grain composition (starch, oil, protein) using weather during three key development stages. The predictions apply across the whole Midwest crop regardless of genotype or practices.
Earlier mid-season yield and quality forecasts could sharpen expectations for corn supply and protein content, though the research itself is unlikely to move prices immediately.
After 445 past neutral weather events, CORN moved a median +0.1% over 5 sessions (52% higher; middle half -1.4% to +1.6%), and +0.7% over 20.
Moves of each commodity's benchmark from the last close before the event. Historical reads pool past events of the same kind; they describe what happened, not what will. Not investment advice.