Use of pityol to reduce damage by the white pine cone beetle, <i>Conophthorus coniperda</i> (Col., Scolytidae) in seed orchards
Bibliographic record
Abstract
Abstract: The white pine cone beetle, Conophthorus coniperda (Schwarz), is a common and destructive pest of eastern white pine cones. The potential of mating disruption as a pest management tool against C. coniperda was tested during this experiment. The 5.5 ha white pine seed orchard used in this study was separated in three equal sections and different blocks were treated with pityol over 2‐year experiments. Ten and 20 pityol dispensers (bubble caps) were hung per treated block in 2001 (east block) and 2002 (centre block), respectively, to evaluate their impact on cone protection. During both seasons, the percentage of damaged cones at permanent stations was evaluated at monthly intervals in the middle of the treated block and at different places in the control area. For both years, the mean reduction in cone damage was 63.7% in the pheromone‐treated blocks. With this study, we have been able to demonstrate that mating disruption could be used as a biological pest management tool for the control of C. coniperda in white pine seed orchards.
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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) | 0.001 | 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".