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Funded Project |
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Funding Program:
Regional IPM Grants (S-RIPM) |
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Project Title:
Predicting in-season infection risk of cucurbit downy mildew and validation of a downy mildew forecasting system |
Project Directors (PDs):
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Lead State: NC Lead Organization: NC State University |
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Cooperating State(s):
South Carolina |
| Extension Funding: $40,000 |
| Research Funding: $145,566 |
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Start Date: Aug-01-2012 End Date: Jul-31-2015 |
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Summary:
This Joint Research-Extension project will focus on developing a decision support system to facilitate rational application of fungicides to effectively control cucurbit downy mildew caused by Pseudoperonospora cubensis during the growing season. The U.S. grows about 466,250 acres of cucurbits valued at $1.5 billion. In 2004, there was a resurgence of the disease that devastated cucurbit crops nationwide. Many cucurbit fields were abandoned without harvesting and suffered 100% loss. Since disease control relies heavily on fungicides, a forecasting system was developed to help growers to make decisions on if and when to apply the initial spray. However, there is no support system to guide rational application of fungicides during the growing season. The recent resurgence of the disease and appearance of new aggressive pathogen populations necessitates the continued search for the most efficient methods to rationally apply available fungicides. Thus, the overall goal of this project is to develop an in-season decision support tool to guide application of fungicides. Specifically, we will: 1. Develop a model to predict in-season infection risk of cucurbits by P. cubensis based on typical weather prevalent in south eastern U.S. 2. Generate optimal managament action threshold that minimize average disease costs and crop loss 3. Validate the cdm ipmPIPE forecasting system with respect to sporangia transport and intial infection. The proposed work will be conducted in cucurbits fields in South Carolina and North Carolina, while the validation experiments will be conducted in cucurbit fields in GA, LA, NC, NY, OH, PA, SC, TX.
Objectives: Objective #1: Develop a model to predict in-season infection risk of cucurbits by P. cubensis based on typical weather prevalent in the southeastern U.S. Objective #2: Generate optimal management action thresholds that minimize average disease control costs and crop loss. Objective #3: Validate the cdm ipmPIPE forecasting system with respect to sporangia transport and initial infection. |
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