Management of powdery mildew, caused by <i>Erysiphe cruciferarum</i>, on wasabi (<i>Wasabia japonica</i>) plants in British Columbia
Bibliographic record
Abstract
Powdery mildew on wasabi (<i>Wasabia japonica</i> (Miq.) Matsumura)plants reduces photosynthesis and severe infections can result in chlorosis and defoliation, resulting in reduced yields. <i>Erysiphe cruciferarum</i> Opiz ex L. Junell was confirmed as the causal agent using sequence analysis of the ITS1-5.8 S-ITS2 region, along with conidial and conidiophore morphology. To evaluate reduced-risk management options, the efficacy of four commercially available products was assessed over three separate trials conducted in a commercial wasabi greenhouse in British Columbia. The products tested included two biological pesticides, <i>Bacillus subtilis</i> strain QST 713 (formulated as Rhapsody ASO), and <i>Streptomyces lydicus</i> strain WYEC 108 (formulated as Actinovate SP), as well as a copper-based fungicide, Cueva, and a plant formulated extract, Regalia Maxx (from <i>Reynoutria sachalinensis</i>). Treatments were applied at two-week intervals over 10–12 weeks starting with onset of disease symptoms. Natural infection by <i>E. cruciferarum</i> was allowed to progress on the plants during the trials. Leaves were assessed for powdery mildew biweekly based on percentage of leaf surface infected, which was then converted to area under the disease progress curve (AUDPC) for each treatment. Five to six applications of Cueva and Regalia significantly (p
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.112 | 0.002 |
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; both teacher heads agree on what is shown here.
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".