Location: Soybean and Nitrogen Fixation Research
Project Number: 6070-21220-070-003-T
Project Type: Trust Fund Cooperative Agreement
Start Date: Feb 1, 2019
End Date: Jan 31, 2024
Predict phenotype trajectories from molecular data using machine learning.
The funds provided are matching funds toward FFAR project titled “Protein-based thermotolerance markers for sustainable legume protein production.” Benson Hill Biosystems’ contribution will enable the modeling of crop performance and stress tolerance using advanced modeling techniques and their CropOS platform. ARS will lead the project and provide funds through sub-awards to collaborators with the expertise to perform the modeling components of this project. ARS will generate the data required for successful predictive modeling of phosphoproteomic regulation of crop stress tolerance. This work will result in the identification of temperature tolerance markers in soybean. Additionally, the data analysis pipeline developed in this project will be useful for the analysis of other crop species and stress types. North Carolina State will be sub-awarded to perform modeling analyses. Phosphoproteomic analysis will be performed by Vlaams Instituut voor Biotechnologie.