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Harmeet Singh Chawla, Professor, University of Manitoba, @GiessenSingh Kendall Baker, Manitoba Canola Growers Association, @CanolaGrowers @kendallbaker22 Stephen Fox, Plant Breeder, DL Seeds Inc., @DLSeeds Join this knowledgeable panel as they share research, knowledge and foresight into the yield robbing disease; verticillium wilt. Obvious differences in resistance to Verticillium stripe (VS) were observed in replicated canola breeding trials in Manitoba in 2023-25. An incidence-based rating scale was developed allowing for comparisons of disease incidence observed between hybrids and between locations. Resistance categories were created to account for the impact of plant maturity on disease expression. Using yield estimates obtained from multiple replicated trials grown in VS and non-VS affected sites in western Canada, yield losses attributed to increasing disease susceptibility were estimated. This panel is focused on finding new ways to fight Verticillium stripe in canola. The ultimate goal is to provide farmers with more resilient canola options that maintain yield and performance in fields where Verticillium stripe pressure is increasing. Disclaimer: The opinions expressed in these presentations are solely those of the presenter and not necessarily those of Manitoba Ag Days Inc. Manitoba Ag Days Inc. does not guarantee the accuracy or reliability of the information provided herein. Viewers are advised to consult with qualified professionals before making any decisions based on the information provided. The presenters and organizers shall not be held liable for any errors, omissions, or damages arising from the use of the information presented. Liability: By viewing these presentations, you agree that the presenters and organizers of Manitoba Ag Days Inc. shall not be held liable for any direct, indirect, incidental, consequential, or punitive damages arising out of your access to, use of, or reliance on the information provided. This includes, but is not limited to, any loss of profits, business interruption, or loss of data.