2021
Development of best management guidelines for white mold in PA
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Lead Principal Investigator:
Paul Esker, Pennsylvania State University
Co-Principal Investigators:
Alyssa Collins, Pennsylvania State University
Beth Gugino, Pennsylvania State University
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Project Code:
R2021-05; OSP 220127
Contributing Organization (Checkoff):
Leveraged Funding (Non-Checkoff):
This project is to generate the necessary baseline information that can be used to leverage this project with other USDA-NIFA proposals, as well as regional projects through funding sources like the Northeast-Integrated Pest Management Program, Northeast-SARE, and collaborations with industry partners. As such, for the moment the primary source of funding to get that goal is the current request to the Pennsylvania Soybean Board, although to support the graduate education component of the project, we have solicited funds from the Dept. of Plant Pathology and Environmental Microbiology and the College of Agricultural Sciences for tuition remission.
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Institution Funded:
Brief Project Summary:

The persistent annual risk of white mold requires a proactive approach to understanding the importance of different risk factors and farm-level economics to incorporate changes on the farm. Research and extension in this project focus on investigating best management practices for the control of white mold. A multi-tiered approach incorporates an increased understanding of pathogen diversity, spatial sampling for Sclerotinia sclerotiorum, testing and validating existing prediction models developed in the Midwest to see if they perform similarly in the Northeastern U.S. This effort also works directly with farmers through surveys to determine what management tactics would be feasible.

Key Benefactors:
farmers, agronomists, extension agents

Information And Results
Project Deliverables

In the second year of the project, we achieved the following:
1. We were able to continue our sampling program, both at the site level, as well as field sampling. In 2020, we obtained samples from eight locations.
2. To date, we have collected approximately 196 isolates of S. sclerotiorum that will enable us to commence with looking at the genetic diversity in the state, which will be important for making best recommendations. We further have another 120 isolates from the spatial studies on white mold that will be used to understand the genetic diversity at the local scale.
3. At the end of 2020, we launched our survey to improve our knowledge and understanding of white mold in Pennsylvania, as well as learn what management practices are most likely to be considered as part of the overall farm production practices across the state.
4. We successfully tested the Sporecaster model, developed in the Midwest, across 23 locations in Pennsylvania. Results showed that the model overestimated the risk of white mold, which led to the developers to examine the primary weather data source given the spatial scale that is needed for accurate estimates across microclimates. We expect to validate the new forecasts again in 2021.
5. Both students (Karen Luong and Tyler McFeaters), working on thesis research for white mold, presented their research at the Plant Health 2020 Online conference in August 2020.

Final Project Results

Updated March 26, 2022:

View uploaded report PDF file

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.