The use of fluorescent powders to track autocontamination of emerald ash borer (Coleoptera: Buprestidae) by the entomopathogen <i>Beauveria bassiana</i> (Ascomycota: Hypocreales)
Bibliographic record
Abstract
We evaluated the use of fluorescent powders for tracking dispersal by the emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), of Beauveria bassiana isolates from an autocontamination device. Neither of the two DayGlow powders tested (Arc Yellow and Aurora Pink) interfered with fungal germination or growth, nor did they affect survival of beetles in the laboratory, or affect virulence of the fungus. The powders persisted at least 10 days out-of-doors on dead beetles in sticky band traps, and at least 14 days on pouches inside autocontamination traps. During field trials of autocontamination traps with powder-dusted fungal pouches in southwestern Ontario, 8.0% of the 4010 beetles captured in green prism and sticky-band traps were positive for fluorescent powders. Only half (46.2–57.8%) of the powder-positive beetles actually carried viable fungal conidia, as determined by plating of beetle rinses, possibly as a result of patchy growth of fungal isolates and reduced conidia production on pouch surfaces during the 16-day trapping experiment. The presence of viable conidia (either one or both isolates) on about 10% of beetles that did not carry any visible powder particles may be an indication of horizontal transmission of the fungus by beetles that had visited the autocontamination traps.
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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".