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Implementation of Beetcast, a predictive model for managing Cercospora leafspot in Michigan
American Society of Sugarbeet Technologist
Implementation of BeetCast, a predictive model for managing cercospora leafspot, in Michigan. BeetCast is a predictive model designed to improve fungicide application timing for management of cercospota leafspot. The objective of this study was to evaluate the accuracy of BeetCast in Michigan. Studies were conducted at six locations; Beckenridge, Saginaw, Fairgrove, Pigeon, Sandusky and Ruth, MI. Treatments included applying fungicides based on BeetCast and applying fungicides based on visualdoi:10.5274/assbt.2005.6 fatcat:y232z6izkfbw5nbd3ejvekngwm