Factors Affecting Pheromone-Baited Trap Capture of Male <I>Coleophora deauratella</I>, an Invasive Pest of Clover in Canada
Bibliographic record
Abstract
Coleophora deauratella Leinig and Zeller (Lepidoptera: Coleophoridae) is an invasive pest of red clover, Trifolium pratense L. (Fabeles: Fabaceae), grown for seed in Canada. A pheromone-based monitoring program to determine the presence and seasonal activity of adult C. deauratella would be a valuable tool for growers because larvae are difficult to sample due to their internal feeding behavior. We conducted field experiments to evaluate several pheromone-baited trap characteristics, including pheromone lure substrate, trap type, trap color, lure longevity, trap height, and field position. The type of substrate that pheromone was released from and lure age did not affect trap capture of male C. deauratella. Moth capture in nonsaturating green Unitraps was significantly higher than Diamond or Wing traps when inspected at 2-wk intervals. Multi-colored Unitraps caught significantly more male C. deauratella than Diamond, and Wing traps when inspected at weekly intervals. Trap color did not influence C. deauratella capture, but by-catch of bumblebees, Bombus spp., was greatest in yellow and white colored Unitraps. Traps placed 35 cm above the soil surface captured more male C. deauratella than those placed at 1 m above or at ground level regardless of trap position within the field. Green Unitraps baited with either gray or red rubber septa lures placed 35 cm above the soil surface and 5 m from the field edge should be used to monitor C. deauratella. These characteristics optimize pheromone-baited trap performance and reduce by-catch of beneficial insects, and should be incorporated into a C. deauratella pheromone-monitoring program.
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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) | 0.000 | 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) | 0.002 | 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".