SCN has earned the title of #1 soybean pathogen not just because of the economic loss it inflicts, but also because of its adaptability in overcoming varietal resistance. Current monitoring methods tend to lack accuracy and efficiency at the field and farm level. In addition, crop damage thresholds are difficult to establish.
While remote sensing technology is becoming more common in detecting crop diseases, little testing has been done in soybeans. This multi-year research project has already discovered that drone-based remote sensing provides cost-effective, reliable monitoring of SCN damage. It also identified Red and Near Infrared bands as most sensitive to SCN infestation and gained a better understanding of the sensitivity of different vegetation indices to SCN infestation and crop yield.
However, more research is needed to understand how soybean phenology impacts different levels of SCN infestation. Collected data will be used to develop a set of algorithms and tools farmers can use to detect, monitor and manage SCN.
By advancing technology capabilities, farmers will have a more clear and specific view of SCN population levels, activity and density across their fields. This will allow them to be more precise in their management of SCN.
The Illinois Soybean Association (ISA) checkoff and membership programs represent more than 43,000 soybean farmers in Illinois. The checkoff funds market development and utilization efforts while the membership program supports the government relations interests of Illinois soybean farmers at the local, state, and national level, through the Illinois Soybean Growers (ISG). ISA upholds the interests of Illinois soybean producers through promotion, advocacy, and education with the vision of becoming a market leader in sustainable soybean production and profitability.