2022
Producing the Data and Developing the Tool Needed to Optimize Soybean Production in North Carolina
Category:
Sustainable Production
Keywords:
Abiotic stressCrop protectionField management Water supply
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Rachel Vann, North Carolina State University
Co-Principal Investigators:
Project Code:
22-093
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Adjusting soybean planting date, maturity group, and seeding rate will be critical to raise North Carolina soybean yield. Foundational research was conducted on these management practices in this state from 2019-2021 (11 sites of useable data) to generate a baseline dataset that focused on maximizing yield under our diverse production scenarios. What is now needed is additional years of data that can capture added variability in annual weather patterns, soil types, regions, and latitudes to generate a robust enough dataset to create a grower decision support tool as the final product of this field research. The ultimate goal is to generate 15-20 useable sites of data that will be the base...

Unique Keywords:
#weather
Information And Results
Project Deliverables

Expected end products include, but are not limited to:
Grower decision support tool
Adjusted soybean replant insurance coverage dates
Grower meeting presentations
Field day presentations
High quality videos
Electronic media updates
Social Media
Webinars
Peer-reviewed extension publications
Publication in a high-impact journal (target: Agronomy Journal, Crop Science)

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.