2020
Strategies for identification and rescue of poorly nodulated soybeans
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Field management Nutrient managementSoil healthTillageYield trials
Lead Principal Investigator:
Nathan Hancock, University of South Carolina
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Deficient soybean nodulation can cause dramatic yield loss due to nitrogen deficiency. Previous research has developed a model for diagnosing nitrogen deficiency from aerial image analysis. This technology could eventually allow soybean farmers to identify and rescue nitrogen deficiency problems. This project seeks to provide information about how much nitrogen needs to be applied to nitrogen-deficient soybeans to restore yield. Work incudes growing nodulation deficient soybeans with different nitrogen fertilization treatments, collecting aerial color analysis, tissue analysis, and yield data, developing a model describing leaf color and nitrogen deficiency and determining what level of rescue fertilization rescues yield.

Key Benefactors:
farmers, agronomists, extension agents

Information And Results
Project Deliverables

- Refine our statistical model of the correlation between canopy color, nitrogen levels, and soybean yield.
- Recommendation of fertilization rates to mitigate yield loss of nitrogen deficient soybean plants (R1).

Final Project Results

Updated January 6, 2021:

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.