We will use the results of this project to make recommendations on the selection
of soybean variety and fungicide application/timing for Virginia soybean
growers. The qPCR assay developed from this project will be provided to our
growers through the PI’s website (zenglab-pdepmi.com). Each participating
grower will be provided with a unique link for accessing weekly pathogen
population data and on-site weather information.
The in-season C. sojina airborne inoculum will serve as an early warning indicator
of soybean frogeye leaf spot disease development. Through this project, we will
construct an initial fungicide application decision support tool that takes C.
sojina population density into account for the observed and predicted frogeye
leaf spot severity that influences soybean yield. In addition, the value of
fungicides applied to susceptible and frogeye-resistant soybean varieties will be
assessed as a fungicide application decision aid.
This project will increase undergraduate student interns’ awareness of integrated
pest management. They will gain basic knowledge of plant pathology, plant
disease epidemiology, molecular biology, and statistics through this project.