Sensitivity of Australian <i>Sclerotinia sclerotiorum</i> isolates from bean fields to boscalid
Bibliographic record
Abstract
White mould caused by Sclerotinia sclerotiorum is one of the most damaging diseases of bean worldwide. High incidence of white mould can lead to complete crop loss through rejection by processors. Since 2004, in Australia, white mould is managed by the prophylactic application of the fungicide, boscalid during flowering. The sensitivity of S. sclerotiorum isolates ( n = 150) was tested using a mycelial growth assay. The effective concentration of boscalid required to reduce mycelial growth by 50% (EC 50 ) was calculated using probit analysis. The frequency distribution of EC 50 values was unimodal and similar to that of 11 non‐exposed isolates collected from other crops or obtained from culture collections. No evidence of resistance or reduced sensitivity was found within the tested S. sclerotiorum population from Australian bean fields. This study provides valuable baseline data for monitoring changes in sensitivity to this fungicide.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".