First report of <i>Verticillium dahliae</i> Kleb. causing wilt symptoms in canola (<i>Brassica napus</i> L.) in North America
Bibliographic record
Abstract
In Canada, Verticillium wilt of canola (Brassica napus L.), caused by Verticillium longisporum, was first confirmed in Manitoba in 2014. Verticillium dahliae, however, has not been reported to cause this disease. In 2016, a field survey in Alberta revealed canola plants with vascular wilt symptoms. Symptomatic plants were collected and infected stem tissue was cultured on agar medium, with one isolate designated A1-SS05 identified as a putative Verticillium spp. based on its colony characteristics. The colony was off-white in colour with a felt-like surface. On potato dextrose agar, the underside of the colony was dark only in the central area with radiating ridges. On Howell’s medium, only the test isolate exhibited polyphenol oxidase activity. The isolate formed conidiophores with 4–5 verticillate phialides. Mean conidial length was 5.96 µm (range of 4.65–6.64 µm) and mean width was 2.37 µm (range of 1.71–2.79 µm). The isolate also produced irregularly elongated chain-like microsclerotia of various sizes. Based on these criteria, isolate A1-SS05 was tentatively identified as V. dahliae. Sequencing of PCR products amplified with the primer sets ITS5/4 and VeruniF2/VeruniR3 revealed 99 and 100% identity, respectively, with V. dahliae sequences in GenBank, confirming the identity of this isolate. The isolate was pathogenic on the canola cultivar ‘Westar’, causing wilt symptoms, stunting, and leaf yellowing and senescence. Microscopic analysis of infected vascular tissues revealed irregular shaped microsclerotia, as were observed in pure culture. This is the first report of V. dahliae causing Verticillium wilt of canola in North America.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".