Efficient and economical molecular diagnostic tools for soybean stresses
Sustainable Production
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Senthil Subramanian, South Dakota State University
Co-Principal Investigators:
Xingyou Gu, South Dakota State University
Wanlong Li, South Dakota State University
Madhav Nepal, South Dakota State University
Jai Rohila, South Dakota State University
+3 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

One of the major obstacles in achieving high soybean yield is loss due to stress. Accurate and sensitive diagnosis of stresses at the earliest stage is critical for proper management responses to mitigate yield loss. Often, these stresses go unnoticed at early crop growth stages due to the lack of visible symptoms. The research team will develop molecular diagnostic tools that can efficiently and accurately identify early stages of specific soybean stresses. The team will focus on drought, salinity, nutrient deficiency, fungal diseases and soybean cyst nematode. The goal is to develop a diagnostic tool to identify specific soybean stresses so that appropriate management decisions can be made and yield loss minimized.

Key Benefactors:
farmers, agronomists, plant pathologists, scientists

Information And Results
Project Deliverables

Final Project Results

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.