Project Details:

Using environmental variables to predict soybean aphid problems

Parent Project: This is the first year of this project.
Checkoff Organization:North Dakota Soybean Council
Categories:Insects and pests, Crop management systems
Organization Project Code:
Project Year:2013
Lead Principal Investigator:Deirdre Prischmann-Voldseth (North Dakota State University)
Co-Principal Investigators:

Contributing Organizations

Funding Institutions

Information and Results

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Project Summary

The goal is to identify factors that contribute to soybean insect pest outbreaks and to use that information to help predict when soybean aphids will be a problem in ND.

Project Objectives

1. Continue to measure how temperature and plant growth stage influence soybean aphid populations.
2. Determine how soil parameters (e.g. rhizobial seed inoculants) impact soybean aphid establishment and reproduction.
3. Document the presence and impact of soybean aphid natural enemies in North Dakota.
4. Compare the impact of field environmental variables in forecasting North Dakota aphids populations.

Project Deliverables

In 2010, soybean leaves were collected from 200 soybean fields in 25 N.D. counties and analyzed for eight different soybean viruses in a cooperative study with Dr. L. Domier, a USDA virologist in Illinois. The results of that study were reported previously. However, Dr. Domier continued to analyze the leaves from that collection using different techniques and recently found one soybean field where plants were infected with soybean dwarf virus, a virus not previously detected in North Dakota.

Progress of Work

Final Project Results

We used both traditional and molecular methods of identifying the fungi in those plants and determined that the disease was not sudden death syndrome. We believe the symptoms were caused by
F. solani, a common Fusarium infecting soybean roots in this area, in combination with some unknown soil or stress factor. As of yet, sudden death syndrome has not been verified in North Dakota.

Benefit to Soybean Farmers

Performance Metrics

~Development of SCN resistant varieties

~Identification of diseases

~Identification of root rots

~Development of root rot resistant varieties

Project Years