Development of Next Generation Sequencing Applications for Improving Soybean
Sustainable Production
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
David Hyten, University of Nebraska at Lincoln
Co-Principal Investigators:
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

This proposal focuses on developing novel methods that utilize new sequencing technology to better detect markers in the soybean

Unique Keywords:
#breeding & genetics
Information And Results
Project Deliverables

This proposal will develop a cost effective genotyping-by-sequencing (GbS) method
which will target specific markers and is highly flexible in the number of markers that can be
genotyped on a soybean line. In addition, because specific SNPs are targeted, the missing data
rate will be lower than 10% which is a significant improvement over current GbS methods. This
eliminates the need for imputation and for the development of novel methods to detect
heterogeneity. Genotyping soybean pollen to determine recombination rates both across the
genome and within specific regions has never been reported. This will provide a unique tool for
UNL soybean researchers to study recombination in soybean and will provide the foundation for
a future proposal to NSF to study how stress to plants affects recombination.

Final Project Results

Updated April 19, 2018:

View uploaded report PDF 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.