Characterization of clubroot (<i>Plasmodiophora brassicae</i>) from canola (<i>Brassica napus</i>) in the Peace Country of Alberta, Canada
Bibliographic record
Abstract
Clubroot of canola (Brassica napus L.), caused by Plasmodiophora brassicae Woronin, has spread to more than 3000 fields in Alberta, Canada, since it was first identified in 2003, but the disease had not been reported in the Peace Country Region in the northwest of the province. In 2017, 21 cases of clubroot were found in Big Lakes County, the southeastern-most district in this region. In 2018, an additional five cases were identified. Surveys of the infested crops in 2017 detected a clubroot disease index (DI) of < 10% in 15 fields and > 10% in the other six, while in 2018, the DI was < 5% in four fields and > 50% in one. Canola had been grown 3–6 times over the preceding 7–8 years in all fields for which rotation histories could be obtained. A subset of 23 P. brassicae field isolates was evaluated for pathotype classification on the hosts of the Canadian Clubroot Differential (CCD) set. Of the isolates collected in 2017, 11 were pathotype 3H, two each were pathotypes 5I and 8N, and three had novel virulence patterns designated 5A, 8A, and 8B. The five field isolates tested from 2018 included pathotypes 6C, 8A and 8 N, plus two isolates of the novel pathotype 8C. On the differential system of Somé et al., 17 isolates were classified as pathotype P2 and six as P3. As the CCD pathotype 8C is virulent on clubroot-resistant canola, integrated disease management strategies will be required for resistance stewardship in this region.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".