2018
Soybean SDS management: detection, fungicides and resistance
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Crop protectionDiseaseField management
Lead Principal Investigator:
Martin Chilvers, Michigan State University
Co-Principal Investigators:
Project Code:
18-06
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Seed treatments will be examined for their role in the management of SDS and SCN. Bayer Crop Sciences fungicide seed treatment ILeVO was registered in 2015, and in response a number of companies are testing additional products.
We will test our current diagnostic assays as means of pre-plant SDS risk assessment and work on an assay to quantify Fusarium brasiliense, a newly discovered SDS causing species in Michigan.
We will work with the MSU soybean breeding program to screen mapping populations and AYT lines for SDS resistance in the field. SDS inoculum will be produced in the Chilvers laboratory for the inoculation of SDS field screening trials on the Agronomy farm. We will use our real-time...

Unique Keywords:
#soybean diseases
Information And Results
Project Deliverables

Determine seed treatment efficacy for SDS and SCN management
Determine soybean susceptibility factors to SDS
Develop technique to predict SDS development in a field
Monitor SDS distribution and severity in the state
Assist soybean breeders and companies in evaluating soybean varieties and germplasm for resistance to SDS
Educate farmers and CCA's in SDS management
Train undergraduate and graduate students

Final Project Results

Updated February 12, 2019:
We have identified a second species of SDS causing fungus (Fusarium brasiliense) present in Michigan, this is the first report for the United States. Curiously we have routinely found this F. brasiliense in recent dry bean root rot surveys, perhaps indicating that it has a preference for dry beans. Thankfully when we screened F. brasiliense with the ILeVO seed treatment, it appeared to have similar efficacy as it does against F. virguliforme, though field trials will be necessary to confirm this.
With respect to remote sensing of SDS we have worked with the University of Wisconsin-Madison in the testing of samples for F. virguliforme to assist them in developing a leaf canopy detection of SDS. We have also collected additional UAV (drone) images of our Decatur screening location to build an image library for development of analysis tools.

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.