2020
Soybean Insect Management : Soybean aphid and Japanese beetle (202)
Category:
Sustainable Production
Keywords:
Biotic stressCrop protectionField management Pest
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Robert Koch, University of Minnesota
Co-Principal Investigators:
Project Code:
10-15-44-20231
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Soybean production in Minnesota is now threatened by multiple invasive insect pests. The soybean aphid (Aphis glycines), continues to be the most damaging insect pest of soybean. However, the Japanese beetle (Popillia japonica), is spreading and causing increasing injury to soybean. Growers need information about how co-occurring insect pests affect soybean yield to make better informed management decisions. The Koch lab has advanced drone-based scouting for soybean aphid, but we must understand how co-infestation by other insects like Japanese beetle affect spectral reflectance of soybean canopies. The work proposed here will provide a second year of evaluation of the impact of combined...

Unique Keywords:
#insects and pests
Information And Results
Project Deliverables

Methods:
Experimental plots will be established in two locations in southern Minnesota where soybean aphid and Japanese beetle are likely to occur. We will use a randomized complete block design to test the effects of soybean aphids and Japanese beetle on soybean yield and spectral reflectance of the soybean canopy. Experiments will comprise 4-6 replications of up to 4 treatments (1. no pests, 2. soybean aphid infestation, 3. Japanese beetle infestation, and 4. combined infestation of both pests). Insect populations will be manipulated through use of cages over plants and/or insecticides. On a regular basis, data on soybean aphid abundance will be collected through counts of aphids on plants and data on feeding by Japanese beetle will be collected through estimates of defoliation. Yield data for each plot will be collected at the end of the season. Ground-based hyperspectral data will also be collected on a regular basis throughout the growing season. Regression and ANOVA analyses will be performed to determine the effects of soybean aphid, Japanese beetle and their interaction on soybean yield, quality and canopy hyperspectral reflectance.

Final Project Results

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.