2019
Improving disease detection and resistance selection using hyperspectral phenotyping
Category:
Sustainable Production
Keywords:
Data ManagementDrone/UAS
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Cory Hirsch, University of Minnesota
Co-Principal Investigators:
Project Code:
10-15-44-19-161-7527
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Sudden Death Syndrome (SDS), caused by Fusarium virguliforme, and brown stem rot (BSR), caused by Cadaphora gregata, are two of the most important soilborne pathogens that infect soybeans in Minnesota. Both of these pathogens infect soybean plants through their roots early in the growing season, but often plants remain visually asymptomatic until later reproductive stages. As with most soybean diseases, losses caused by these pathogens are most effectively controlled through breeding for disease resistance. Breeding advances for disease resistance are the result of developing an understanding of the genetics of soybean varieties and the relationship with resistance traits. Development of...

Unique Keywords:
#technology
Information And Results
Project Deliverables

Final Project Results

Updated June 4, 2020:

View uploaded report Word file

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.