Soybean growers across the US face several common yield limiting diseases that can result in annual losses from $2.2 to $4.6 million. Decision making tools provide a method to target fungicide applications, simultaneously improving fungicide efficacy and proactively delaying the development of fungicide resistance. With funding from soybean checkoff funds, the development of the Sporecaster app has been successful in helping farmers in northern states make fungicide application decisions for management of white mold. The Sporecaster platform has since been used to develop a framework for frogeye leaf spot for northern soybean growing regions. Given the importance of frogeye leaf spot to Southern, Mid-southern, and Atlantic regions, the present proposal aims to expand the frogeye leaf spot prediction framework to these regions. In addition, the proposal aims to consolidate research activities across these regions for two other common disease problems, Cercospora leaf blight and target spot, laying the groundwork for comparable prediction tools for these diseases. The project will use historical datasets of fungicide trials, new uniform fungicide trials, spore trapping networks, and improved detection tools for predominant foliar pathogens of soybean to develop the data necessary for developing prediction tools. Each of these will independently provide information relevant to soybean farmers and other stakeholders involved in soybean production, and will also be combined into higher impact decision making tools relevant across the U.S.

Objective 1: Expand the development and validation of frogeye leaf spot prediction tool to new regions, using the Sporecaster framework
Objective 2: Develop and conduct experiments to adapt the Sporecaster framework for Cercospora leaf blight prediction
Objective 3: Develop and conduct experiments to adapt the Sporecaster framework for target spot prediction
Objective 4: Communicate results of the research to farmers and other stakeholders involved with soybean production

1. Peer-reviewed publications that detail the development of prediction models and tools for Cercospora leaf blight, frogeye leaf spot, and target spot.
2. Peer-reviewed publication that reports on the most efficacious and economically viable fungicides for management of Cercospora leaf blight.
3. Peer-reviewed publication that reports on the most efficacious and economically viable fungicides for management of target spot.
4. Peer-reviewed publication that detail the geographical and temporal distribution of spores of important foliar fungal pathogens of soybean that will improve our epidemiological and biological understanding of these pathogens.
5. Updated foliar disease information on SRIN.
6. Updated Extension publications on frogeye leaf spot and new Extension publications on Cercospora leaf blight and target spot.

This project will provide validated tools that soybean farmers across the U.S. can utilize to make important disease management decisions.