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Summary: Plant disease forecasting or plant disease advisories can be extremely useful for a grower in making pre-plant or in-season management decisions. These disease advisories can range in complexity from simple measures of initial inoculum potential to computer-based advisories based on weather forecasts that drive plant disease models. This presentation will cover several disease advisories ranging from the simple soil sampling-based soybean cyst nematode (SCN) advisory to a complex, weather-based forecast system being developed for prediction of white mold in soybean. The success of the soybean rust advisory will also be discussed. The research presented here is partially funded by the soybean check off though the North Central Soybean Research Program and several state soybean associations including the Wisconsin Soybean Marketing Board.
United Soybean Board (USB) farmer-leaders develop and maintain partnerships with U.S. land grant universities and U.S. ag-focused research organizations such as the Plant Management Network to increase the transfer of checkoff-funded applied and practical production research information to U.S. soybean farmers. USB neither recommends nor discourages the implementation of any advice contained herein, and is not liable for the use or misuse of the information provided.