Building the genetic foundation for the future of Prairie canola.
Genetic diversity is the raw material of crop improvement. The PIAE Next-Generation Canola Breeding & Genetics Program integrates genetic diversity and genomics with digital agriculture, advanced phenotyping, data science, and AI to discover valuable traits and accelerate the development of resilient, high-performing canola for the Canadian Prairies.
The program bridges discovery and breeding application by combining genomic information with digital field phenotyping, remote sensing, environmental data, and predictive analytics. This integrated approach will move valuable genetic variation from germplasm and genomic discovery into breeding decisions, molecular markers, breeding populations, and pre-breeding materials that can be put to use by canola breeders.
Discover and harness genetic diversity for resilience, productivity, quality, and adaptation in canola.
Integrate field phenotyping, remote sensing, environmental data, and AI to understand and predict crop performance.
Translate genetic and digital discoveries into molecular tools and data-driven breeding decisions.
Develop breeding-ready genetic materials and move discoveries into application through collaboration with breeders and industry.
Build canola better adapted to climate stress, pests, diseases, and changing Prairie conditions.
Support productive, stable, and resource-efficient canola across Prairie environments.
Accelerate crop improvement by integrating genetics, digital agriculture, and AI.
Translate discoveries into practical tools and genetic resources through research and industry partnerships.
