An official website of the United States government.
Objective
1. Identify post-translational regulatory networks that govern responses to early-season cold and late-season heat stress; 2. Predict phenotype trajectories from molecular data using machine learning; and 3. Identify and validate temperature-associated, protein-based breeding markers for soybean and other legumes.
Investigators
Locke A M
Institution
USDA - Agricultural Research Service
Start date
2019
End date
2020
Funding Source
Project number
6070-21220-069-27T
Accession number
431589