2020
Protein-based Thermotolerance Markers for Sustainable Legume Protein Production
Category:
Sustainable Production
Keywords:
GeneticsGenomicsSeed quality
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Anna Locke, North Carolina State University
Co-Principal Investigators:
Project Code:
20-122
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The overarching goal of this project is to increase soybean protein production in non-optimal environmental conditions. Temperature-stressed soybean plants show low germination rates, growth delay, and reduced photosynthesis, yield and seed protein production. Temperature stress-tolerant crops are difficult to develop through conventional breeding. This multidisciplinary research uses state-of-the-art phosphoproteomics analysis, genotypic data and physiological information together with machine learning to link key post-translational regulators with the desired physiological and agronomic outcomes, like stable germination and increased yield and protein production during temperature stress. Research aims to generate temperature stress data for predictive model input, identify key phosphomarkers that predict temperature stress response and validate phosphomarkers for use in applied breeding.

Key Benefactors:
farmers, agronomists, extension agents, soybean breeders, seed companies

Information And Results
Project Deliverables

Final Project Results

Genetic variety in soybean heat stress responses is poorly understood, and the logistical difficulties of heat stressing plants in a controlled experiment outdoors limits conventional breeding strategies for improving heat stress tolerance. In this project, we are using predictive modeling to link molecular markers with improved heat stress responses in a variety of soybean genotypes. The project is using data generated in growth chamber experiments as well as heated, open-air field plots. We have measured differences in heat stress response among soybean genotypes grown in the field, and these data will help us identify molecular markers that can be used in soybean breeding.

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.