Evaluation of synthetic sex pheromone for monitoring and management of raspberry crown borer <i>Pennisetia marginata</i> ( <scp>L</scp> epidoptera: <scp>S</scp> esiidae)
Bibliographic record
Abstract
Abstract ( E , Z )‐3,13‐Octadecadienal ( E 3, Z 13‐18:Ald) was recently identified as a sex pheromone component of the raspberry crown borer Pennisetia marginata ( H arris) ( L epidoptera: S esiidae). Although unstable, this pheromone may have utility for monitoring the seasonal abundance and flight phenology of adult P. marginata , as well as for developing control tactics, such as disorienting mate‐seeking males. Experiments conducted in raspberry and blackberry crops tested the effect of lure and trap attributes on captures of male P. marginata . Increasing lure loads (10, 100 or 1000 µg) of E 3, Z 13‐18:Ald significantly increased trap captures. Freshly prepared lures were significantly more attractive than lures aged for 2–10 days at room temperature. White wing traps and white delta traps were more effective than green delta or green bucket traps. Trap height in the crop canopy had no effect on the capture of males. When sex pheromone components of three other sesiid moth species were added to E 3, Z 13‐18: A ld, the attraction of male P. marginata was reduced and, thus, these components were identified as pheromone antagonists. Pheromone‐based mass trapping with 25 wing traps per hectare reduced captures of males in traps baited with a low‐dose (10 µg) pheromone lure by 67–87% in 2011.
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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 | 0.001 | 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 teacher head, 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".