Management of Botrytis grey mould caused by <i>Botrytis cinerea</i> in lentil using boscalid fungicide
Bibliographic record
Abstract
Under cool and wet conditions, high levels of botrytis grey mould (BGM) can occur on lentil in western Canada. Identification of local Botrytis isolates from lentil based on conidial morphology (N = 74) and sequence analysis (N = 5) indicated that B. cinerea was the predominant cause of BGM in this region. Eight field experiments at two sites (Saskatoon, SK and Outlook, SK) over two seasons were conducted to evaluate the optimal timing of the fungicide boscalid for the control of BGM in the lentil cultivar ‘CDC Grandora’. Weather conditions limited disease development in one year, but moderate levels were observed in four experiments in the other year. In all experiments, a single application at mid-flower in early-seeded experiments and at early flower in late-seeded experiments was as efficacious as a double or triple application of boscalid. There were no differences among double application treatments, and at Outlook they were all as efficacious in lowering BGM as the triple application. Despite some differences in BGM severity among fungicide applications, none of the treatments had an effect on yield or seed infection, and there was no correlation between petal colonization by B. cinerea and BGM disease severity under the study conditions.
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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) | 0.000 | 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".