The Department of Agriculture's National Institute of Food and Agriculture awarded $225,000 under the Agriculture and Food Research Initiative competitive grants program to the Agricultural Research Service for a project titled "Improving Cultivar Development through Deep Learning Models that Account for Genomic, Environmental, and Management Interactions." The project will utilize a large dataset of corn yields from diverse growing environments across the United States to develop deep learning models that consider the interactions between genetic, environmental, and management factors. These models can predict yield and identify factors associated with high yield, informing future cultivar improvements. The project will also determine if data from wheat can help reduce the amount of corn data needed to achieve accurate models, supporting breeders in developing corn varieties for diverse conditions. The funding period is from May 15, 2023 to May 14, 2025.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $225.0k | 3/31/23 |