Grants and Contributions:
Title:
Leveraging machine learning for improving field pea yield and seed quality
Agreement Number:
1023601
Agreement Value:
$220,000.00
Agreement Date:
Oct 31, 2024 - Mar 31, 2026
Description:
As the demands for plant-based protein and ingredients are growing, Canada is becoming a leading producer and exporter of field pea. However, climate change is negatively impacting pea yield and seed quality, necessitating the development of climate-resilient pea cultivars. Omics-driven approaches have facilitated crop improvement, but the complex datasets created are highly heterogeneous and beyond the capability of conventional statistical analysis for data integration to develop new insights at a system level. By leveraging data from ongoing SPP projects, the team will use machine learning (ML) to integrate multi-omics data as a means to elucidate molecular mechanisms underlying pea yield and seed quality. Furthermore, predictive ML models will be developed to enable selection and design of climate-resilient pea cultivars, and prediction of functional properties of pea flour. The project aims to advance translation of lab findings and genomic tools to the field, accelerating the development of high yield, climate-resilient pea cultivars with enhanced seed quality.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Edmonton, Alberta, CA T5J 4P6
Reference Number:
172-2024-2025-Q3-1023601
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108102831
Recipient Type:
Academia
Recipient's Legal Name:
The Governors of the University of Alberta
Federal Riding Name:
Edmonton Centre
Federal Riding Number:
48015
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710