2017
High-throughput Platform to Enhance Quality of Beans and Add Value to Kansas Soybean Breeding Program
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Contributor/Checkoff:
Kansas Soybean Commission
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Krishna Jagadish, Kansas State University
Co-Principal Investigators:
Raju Bheemanahalli, Kansas State University
William Schapaugh, Kansas State University
+1 More
Project Code:
1778
Contributing Organization (Checkoff):
Kansas Soybean Commission
$35,000
Institution Funded:
Kansas State University
$35,000
Brief Project Summary:

Soybean breeding programs are successful in increasing yield potential but progress in breeding for optimizing seed quality composition such as protein, oil, fatty acids, amino acids has not received similar attention. There is a need to develop a simple, robust and high-throughput platform for quantifying quality parameters and the seed compositional changes in response to a range of environmental conditions. Objectives of this project include developing and standardizing a high-throughput approach to quantify genetic diversity in soybean protein, amino acids, oil, oleic acid from germplasm; estimating the spatial and temporal impact of Kansas climatic variability on soybean quality; and integrating the technology into the Kansas soybean breeding program.

Key Benefactors:
farmers, breeders, scientists, biologists

Information And Results
Project Deliverables

1) Genetic variability in protein, amino acids, oil, oleic acid compositions of native, exotic and advanced soybeans breeding lines profiled
2) Location specific climatic impact on soybean seed quality quantified
3) A high throughput platform to determine trade-offs between yield and quality parameters established
4) NIRS spectral curves developed and standardized for supporting the soybean breeding program during and beyond the time-frame of the proposed project

Final Project Results

Update:

View uploaded report Word 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.