2019
SCN sampling Program 2018
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Contributor/Checkoff:
North Dakota Soybean Council
Category:
Sustainable Production
Keywords:
NematodePest
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Samuel Markell, North Dakota State University
Co-Principal Investigators:
Project Code:
QSSB
Contributing Organization (Checkoff):
North Dakota Soybean Council
$59,580
Institution Funded:
North Dakota State University
$59,580
Brief Project Summary:

Early detection of soybean cyst nematode is critical to prevent yield loss. However, visual detection of SCN is very difficult, and 15-30% yield loss is common before any above-ground symptoms appear. The most reliable way to detect SCN is to soil-sample areas where the nematode is most likely to be introduced before symptoms are present. To facilitate SCN sampling by growers, a free-sampling program began in 2013. This project allows for a continuation of the program designed to proactively detect SCN before above-ground symptoms are present and before extensive yield loss occurs.

Key Benefactors:
farmers, agronomists, extension specialists, plant pathologists

Information And Results
Final Project Results

Update:

View uploaded report Word file

Why was this research conducted?
Soybean cyst nematode is estimated to cause over $1B in yield loss annual to U.S. soybeans growers. Since first reported in Richland County in 2003, the nematode has continued to spread throughout the North Dakota. Unless proactively managed, economic loss to North Dakota growers is expected to increase as the nematode is established in new fields and Counties in the state.

Why is this research important to North Dakota soybean farmers?
Management tools are available to growers, but early detection of SCN is critical to prevent yield loss. However, detection of SCN visually is very difficult, and 15-30% yield loss is common before the appearance of any above ground symptoms. The most reliable way to detect SCN is to actively soil-sample areas where the nematode is most likely to be introduced into a field before symptoms are present. To facilitate SCN sampling by growers, the NDSC and NDSU Extension developed a free-sampling program in 2013.
What are the findings of this research?

558 samples were received in the fall of 2018. All SCN soil-sample data from 2013 to 2018 were combined and mapped. SCN was most frequently identified in SE North Dakota, but positives were observed in the Eastern half of the state. To better visualize SCN in SE North Dakota, a ‘heat map’ was created. While these are visually appealing, the map should be viewed with a high-level caution, as SCN is very patchy; it is highly likely that fields in areas of high egg counts will actually not have SCN, and some fields in areas without SCN eggs will be positive.

Benefits to the North Dakota Soybean Farmers:
This program is designed to proactively detect SCN before above ground symptoms are present and before extensive yield loss occurs. The economic benefits of early detection and active management of SCN are a reduction in potential yield loss for many years, and occur not just in the field where SCN was first detected, but in all fields that are managed on that farm. With thousands of samples submitted since 2013, this program, along with use of management tools, has very likely saved North Dakota soybean growers many millions of do

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.