Research on biology and control of <i>Sclerotinia</i> diseases in Canada <sup>1</sup>
Bibliographic record
Abstract
Sclerotinia sclerotiorum (Lib.) de Bary and Sclerotinia minor Jagger are two of the species in the genus Sclerotinia found in Canada. While S. sclerotiorum is distributed country-wide and causes disease on numerous economically important crops including oilseeds, pulses, forage legumes, vegetables, and ornamentals, S. minor has only been reported on lettuce in Quebec and Ontario. During the past five decades, Canadian researchers have made a substantial contribution to the understanding of the biology and control of S. sclerotiorum and, to a lesser extent, of S. minor. This review summarizes the progress of Canadian research on Sclerotinia diseases in the past 50 years, with specific emphasis in the areas such as strain differentiation, epidemiology, new types of sclerotia, survival and germination of sclerotia, and biocontrol. Le Sclerotinia sclerotiorum (Lib.) de Bary et le Sclerotinia minor Jagger sont deux espèces du genre Sclerotinia trouvées au Canada. Alors que le S. sclerotiorum a une distribution pancanadienne et cause des maladies sur de nombreuses cultures d'importance économique, y compris des plantes oléagineuses, des légumineuses alimentaires, des légumineuses fourragères, des légumes et des plantes ornementales, le S. minor n'a été rapporté que sur la laitue au Québec et en Ontario. Au cours des cinq dernières décennies, les chercheurs canadiens ont contribué de façon substantielle à la compréhension de la biologie et de la lutte contre le S. sclerotiorum et, dans une moindre mesure, contre le S. minor. La présente synthèse résume les progrès accomplis par la recherche canadienne sur les sclérotinioses, au cours des derniers 50 ans, en mettant spécifiquement l'accent sur des domaines tel que la différenciation des souches, l'épidémiologie, les nouveaux types de sclérotes, la survie et la germination des sclérotes et la lutte biologique.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".