VIRULENCE OF SEPTORIA TRISETI AND FUNGICIDE CONTROL OF LEAF MOTTLE AND FUSARIUM SEED INFECTION OF CANARY SEED (PHALARIS CANARIENSIS)
Bibliographic record
Abstract
Leaf mottle, caused by Septoria triseti, is the most important disease of canary seed (Phalaris canariensis L.) in western Canada and when severe it may cause reduction of canary seed yield.Understanding the host-pathogen interaction and the variation in virulence of the pathogen population is important for the development of durable resistance in canary seed cultivars.Recently, canary seed was approved as food for human consumption and identification of pathogenic fungal species on canary seed panicles is necessary to monitor seed quality.The studies, for his comments and suggestions, and for giving me the opportunity to explore different areas during my program.A special thanks to Dr. Pierre Hucl for supporting the canary seed project.I want to thank all members of the Cereal and Flax Pathology group for their guidance in field and lab work, especially Jess Taylor and Tim Dament who taught me the first techniques at the beginning of my project.I want to thank all the people that were part of my life during my master's program, those who I saw every day and shared a smile, a lunch and just a greeting because they gave me the energy to continue, and to my good friends for their support and friendship
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".