1. Develop of an isolate collection will provide pathogen material for nursery development that enables a more precise evaluation of genetic material, foliar fungicides, and other production practices like in-furrow treatment of sclerotia.
2. New knowledge relating the importance of different factors that influence white mold risk, since data are based on grower practices and production fields.
3. Economic quantification at the farm level of best management practices that may be applied to combat white mold.
4. Method development that is transferable to other states, as well as can be applied in other legume crops.
5. Long-term, we hypothesize that this approach will enable the development of a risk assessment tool that takes farm-inputted production information and quantifies the risk to classify the farm into one of three different areas: always at a low risk, having a moderate risk, and always at a high risk, since each group will require a different best management recommendation.
6. Training of key stakeholder groups on identification of best management tools to combat white mold based on actual field histories.7. Training of the next generation of scientists and farmers using real-world, on-farm data information.