Dry Rot of Rutabaga Caused by Fusarium avenaceum
Bibliographic record
Abstract
The rutabaga, also known as the swede turnip, is grown on ≈2000 ha in Canada. During the spring of 2006, a grower in Prince Edward Island noticed an advanced level of decay in his stored rutabagas (cv. Thompson Laurentian). About 80% of the stored crop was affected. Lesions on the surface of affected roots were circular to ovate and ranged in size from 10 to 50 mm. The lesions were light brown, with dark borders and some concentric zones evident near the perimeter of the affected tissue. Root tissue within the lesions was shrunken and often wrinkled. Sectioning the root through the lesion revealed an internal advancing dry rot, with an irregular border and cavities that contained white mycelium. Isolation from diseased tissues yielded fungal cultures, which were determined to be Fusarium avenaceum using morphological and molecular criteria. Successful completion of Koch's postulates determined that F. avenaceum was indeed the causal agent of rutabaga dry rot. To the authors’ knowledge, this is the first report of F. avenaceum causing disease in rutabaga in Prince Edward Island, and likely only the second observation of its occurrence in North America. Dry rot, incited by F. avenaceum , may need to be considered as part of the spectrum of postharvest pathogens of rutabaga.
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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".