2017
Integrating high throughput field phenomics into Nebraska soybean breeding
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Lead Principal Investigator:
Yufeng Ge, University of Nebraska at Lincoln
Co-Principal Investigators:
Project Code:
1721
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The long term goal of this research is to integrate high-throughput field phenomics and initiate an
innovative phenomics-genomics framework for the soybean breeding program in Nebraska.

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

The key research questions/challenges, which will be holistically investigated and addressed in the three
year time frame, include: (1) development and optimization of the sensing modules and automation platform that
can collect plot-scale soybean phenotypic data accurately and effectively; (2) development of robust data analytics
pipelines to convert the raw sensor data into relevant phenotypic information; (3) exploring the relationships
between sensor-based phenotypic measurements to the conventional traits (including yield, yield component,
maturation, etc.) relevant to soybean breeders; and (4) the use of sensor-based measurements (which is high
throughput in nature) in the context of genomics-based breeding to assist breeders in decision-making.

Final Project Results

Updated April 25, 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.