Database Research Summaries2018 High-throughput Platform to Enhance Quality of Beans and Add Value to Kansas Soybean Breeding Program
Research Focus
The focus of this project is to strengthen the Kansas soybean-breeding program by developing beans with higher quality.
Objectives
- Develop and standardize a high-throughput approach to quantify genetic diversity in beans protein, amino acids, oil, oleic acid etc. from germplasm generated by the Kansas Soybean Breeding Program.
- Estimate the spatial and temporal impact of Kansas climatic variability on soybean quality with emphasis on essential amino acids, oleic acid etc.
- Integrate the technology into Kansas soybean breeding program to enhance breeding efficiency towards developing high quality beans.
Results
- NIRS is a promising high-throughput phenotyping tool help to capture composition rapidly, accurately and at a low cost. The high-throughput phenotyping platform has now been routinely using in the KSU breeding programs to phenotype the segregating mapping populations and to understand the effect of microclimate on quality (protein, oil and oleic acid) while advancing location specific soybeans for growers.
- Recent emphasis on increasing the oleic acid in the breeding pipelines to target specialty markets has been the rationale at the global level.
- Results showed that integrating the high throughput technology would enable quick identification and development of oleic acid beans through breeding programs.
- On the other hand, the output of the project is currently helping soybean-breeding program to devise a target trait development (high yielding beans with quality). New calibration models should be included with black and brown seeds
Importance
Enhancement of soybean quality provided to Kansas soybean growers will offer newer opportunities to improve their revenue in domestic and international market.
For more information about this research project, please visit the National Soybean Checkoff Research Database.
Funded in part by the soybean checkoff.