2020
Soybean Cyst Nematode Sampling Program 2019
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
NematodePest
Lead Principal Investigator:
Samuel Markell, North Dakota State University
Co-Principal Investigators:
Guiping Yan, North Dakota State University
Project Code:
QSSB
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Soybean cyst nematode is the most significant disease threat to soybean production in the United States. Soil sampling is the best way to initially detect SCN. Monitoring egg levels allows growers to evaluate how well their management tools are working. In 2013, the NDSC and NDSU developed a free sampling bag program to encourage growers to sample for SCN. Since 2013, over 4,000 samples have been submitted by North Dakota producers using this program. Maps generated from the project have served as a highly-leveraged tool to increase awareness of the expanding SCN problem. This project allows researchers to continue the sampling program.

Key Benefactors:
farmers, agronomists, pathologists, extension specialists

Information And Results
Final Project Results

Update:
Final Report June 30, 2020
Soybean Cyst Nematode Sampling Program: 2019
PI: Sam Markell, Ph.D.
Co-PI’s Guiping Yan, Ph.D.
Collaborators: Berlin Nelson, Ph.D., and NDSU County Extension Agents

Why the Research is Important to ND Soybean Farmers:

Early detection of SCN is critical to avoiding yield loss. Distribution of cost-free SCN sampling has had buy-in among North Dakota growers. This has facilitated a likely detection of new positives and increased active management of SCN. Additionally, secondary benefits of this program have occurred, including the increased talk among growers about SCN, many press interviews and a significant amount of positive press for the North Dakota Soybean Council and its mission to serve the North Dakota growers.

Objectives:

1. Provide incentive for growers to sample for SCN by covering the cost of up to three SCN samples (pre-labeled bags) per grower on a first-come first-serve basis (up to 2,000 bags total). Bags will be distributed through Extension County offices, my office, Research Director Nichol’s office, at field days and by any other means appropriate.
2. Creation of a SCN distribution map (limited resolution – no farms or growers can be identified) that can be used to determine how widespread SCN is. This map will be widely distributed in an effort to encourage growers to sample and/or manage SCN.

Description of the Research Conducted:

Soybean Cyst Nematode sample bags were obtained from Agvise in June 2019. Bags were labeled with distinct yellow tags containing funding and identification numbers. Bags and accompanying instruction/submission forms were distributed to every Extension County office in early August. The number of bags distributed was roughly proportional to acreage (i.e., Richland and Cass County received more bags than Divide or Williams County). Bags were also distributed though the NDSU Plant Pathology Department, the NDSC Research Directors office, field days, NDSU Research Extension Centers and any other means appropriate. To advertise the availability of the program, multiple radio interviews were delivered, NDSU Crop and Pest Reports were written and other advertising was done.
Soybean growers were encouraged to sample around the time of harvest (before or after) which is when SCN numbers are known to be highest. Growers submitted samples to Agvise directly, or though the NDSU County Extension offices. Upon receipt, Agvise processed the samples and sends results thought the U.S. mail back to the submitter. Dr. Markell received geographic data points and egg levels and construct a map of SCN egg levels and distribution in the state. No additional personal information about submitters was obtained or used.

Findings and Results of the Research Conducted:
By the end of the fall, only 341 total SCN samples were received. This is markedly lower than in previous years, and likely a direct reflection of a very difficult harvest season in 2019. Maps were created with SCN data from 2013 to 2019. ‘Heat maps’ were created for the southeast and southcentral counties in 2019. Heat maps are visually appealing, but should be viewed with a high-level caution, as SCN is very patchy. Consequently, many fields in areas indicating the presence of high egg counts will actually not have SCN, and some fields in areas without SCN eggs will be positive.

Maps were distributed widely throughout winter months. Additionally, reprints of the Extension publication ‘Soybean Disease Diagnostic Series – PP1867’ were reprinted and distributed throughout winter meetings. Whenever possible, these were used as a hands on teaching tool, rather than passively distributed.

An effort was made this spring to provide County agents materials to advertise spring sampling within their counties. The effort was accented by radio interviews and a Crop and Pest Report article. However, due to the response of Covid-19, many county offices remained closed. As a result, it was left up to each county agent on how aggressively to push spring sampling. Notably, there is a lag time between sample submission and data availability, thus, this report may need to be amended within two weeks.

Benefits/Recommendations to the North Dakota Soybean Farmers and Industry:
We continue to recommend that growers actively sample for SCN. For growers who have not detected SCN before, we recommend that they concentrate on areas in the field where SCN is most likely to first be introduced, such as field entrances and frequently flooded areas in fields. In fields where SCN is known to occur, we recommend that growers soil sample to determine if current management strategies are working (i.e. keeping egg levels low).

Acknowledgements:
We express our thanks to the many Extension agents, crop consultants and other agricultural professionals who helped distribute sample bags and sampling instructions, to Michaela Halvorson for map construction, to Agvise for sample processing, and finally to the North Dakota Soybean Council for support.

View uploaded report Word file

Soybean cyst nematode is the most significant disease threat to soybean production in the United States, and it continues to spread in North Dakota. Management tools for SCN are available, but a 15-30% yield loss is common before above ground symptoms appear, making proactive identification critical to avoiding yield loss. In 2013, the NDSC and NDSU developed a free-sampling-bag program for growers, in order to encourage growers to sample for SCN. This project continues today. In 2019, 341 SCN samples were submitted by growers using the program in North Dakota. This number of samples is a significant reduction from previous years, and is a likely a result of a very difficult harvest season for producers. Since 2013, approximately 4,000 samples have been submitted, and nineteen counties with fields positive for SCN now occur in North Dakota. Maps generated from the project, which show the spread and severity of SCN, have served as a tool to increase awareness of the expanding SCN problem in North Dakota and were widely distributed in 2019 and 2020. Additionally, the NDSU Extension Soybean Disease Diagnostic Series were reprinted and utilized as a learning tool to identify diseases (and SCN). The economic impact of the program is high for every grower that proactively detects SCN before incurring yield loss, and subsequently actively manages SCN. We also believe that the program has dramatically increased the coffee talk among growers and conversations with their agricultural advisors, leading to increased awareness and more effective management of the disease throughout the state. Proactive management of SCN helps soybean growers remain profitable and benefits North Dakota agriculture and the citizens of the state.

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.