Database Research Summaries2018 Integrating high throughput field phenomics into Nebraska soybean breeding
Research Focus
The focus of this project is to integrate high-throughput field phenomics and initiate a new phenomicsgenomics framework for the soybean-breeding program in Nebraska.
Objectives
- Continue to collect field data using the developed field phenotyping platform from multiple field locations in the 2018 growing season.
- Conduct multi-year multi-site analysis of the field phenotyping data collected from the previous three years
- Investigate the new strategies (such as heritability analysis, QTL and GWAS analysis) to incorporate the HTFP data into UNL’s breeding program.
Results
- The major findings are that crop traits such as canopy height, canopy temperature, and ground coverage can be effectively and accurately measured with the phenocart system.
- We used the color indices for the plot-level RGB images and showed that they could be used to score soybean iron deficiency chlorosis effectively.
- We also showed that soybean canopy temperature coupled with co-measured air temperature could be related to water use of different soybean lines.
Importance
- The project will benefit all Nebraska soybean farmers, by establishing more efficient soybean breeding programs to deliver superior varieties that meet growers’ specific needs, or through shortening the time needed for cultivar development.
- This research will enhance the growers’ income (via improved yield or high quality soybeans, for example) and their overall competitiveness in the national and international markets.
For more information about this research project, please visit the National Soybean Checkoff Research Database.
Funded in part by the soybean checkoff.
