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A University of Illinois study published in Agronomy uses a new algorithm to predict Midwest corn yield and grain composition (starch, oil, protein) from weather during three key growth stages. The predictions apply to the entire U.S. Midwest crop regardless of genotype or practices.
Earlier, more reliable yield and quality estimates could sharpen mid-season expectations for corn supply and feed value. The research itself is unlikely to move prices on its own.
aces.illinois.eduLauren QuinnJan 29, 2019After 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.
