The North Central Soybean Research Program, a collaboration of 12 state soybean associations, invests soybean check-off funds to improve yields and profitability via university research and extension. Visit Site

View the current 2019 NCSRP-funded research projects and progress reports.

RESEARCH HIGHLIGHTS

Fri - May 24, 2019
Sporecaster is a new smartphone application to help farmers determine if a soybean crop is at risk for white mold, and advises if a fungicide treatment should be made. The application is meant to be run in-season and uses site-specific weather information to provide the risk prediction.

A companion app, Sporebuster, assists soybean farmers in making a decision on specific fungicide treatments. Users can input the costs for fungicide programs and use their own yield and soybean pricing scenarios to get tailored recommendations.  MORE
Thu - May 9, 2019
Checkoff-supported, collaborative research across the region is providing soybean producers and industry with major IPM tools for the control of soybean seedling pathogens.

Rapid diagnostics, germplasm for the development of resistant soybean varieties, and screening tools that ensure fungicide seed treatments remain effective are providing a solid foundation for future seedling disease management.  MORE
Mon - April 1, 2019
With checkoff funding provided by soybean farmers through the North Central Soybean Research Program, a team of nematologists and molecular biologists sequenced the genome of the soybean cyst nematode (SCN), one of the most important pests of soybean.

With the newly-sequenced genome, researchers can now identify and monitor the nematode genes involved when SCN adapts to resistant varieties, and gain insight into how the nematodes manage to override the soybean’s defenses.   MORE
Mon - February 25, 2019
Using farmer surveys over the past several years, management data was collected from more than 9,000 producer fields planted with soybean across the North Central region.

Analysis of the farmer survey data using advanced statistical methods and a spatial framework allowed us to identify the most critical yield-limiting factors and best management practices for particular climate/soil combinations. A new report summarizes the results for each state.   MORE