Location: Corn Insects and Crop Genetics Research
Project Number: 5030-21220-005-00
Start Date: Apr 09, 2013
End Date: Apr 08, 2018
This project will provide data and resources that will increase soybean production by mitigating losses due to pests, pathogens and nutrient stress and by identifying genetic factors that increase yield. To study disease resistance, we will focus on the soybean-Phakopsora pachyrhizi pathosystem, using expression analyses and virus induced gene silencing to identify signaling networks required for resistance. To tackle nutrient stress, we will use iron deficiency chlorosis as a model. We will use expression analyses and virus induced gene silencing to improve our understanding of the signaling networks controlling iron homeostasis in soybean. Finally, we will use molecular, genomic and bioinformatic techniques to take a retrospective look at soybean production over the last 80 years. Using these tools, we can determine how breeders have continually increased soybean yield over time, largely before the introduction of molecular techniques. A review of soybean’s breeding history will impact how we breed soybeans in the future.