Use of Phenylacetonitrile Plus Acetic Acid to Monitor <i>Pandemis pyrusana</i> (Lepidoptera: Tortricidae) in Apple
Bibliographic record
Abstract
ABSTRACT A recent discovery have demonstrated that herbivore induced plant volatile compounds from apple tree infested with leafrollers were highly attractive to con-specific adult male and female leafrollers. However, this work has been conducted in New Zealand and Canada testing only low doses of kairomone. This study has been conducted in US to assess the attractiveness of higher doses of the six apple volatiles provisory identified in apple trees infested by tortricid larvaeto the leafroller, Pandemis pyrusana Kearfott. These volatiles included, β-caryophyllene, germacrene D, benzyl alcohol, phenylacetonitrile, ( E )-nerolidol, and indole. No volatiles were attractive to P. pyrusana when used alone. However, traps baited with phenylacetonitrile plus acetic acid caught both sexes of P. pyrusana . Traps baited with the other volatiles plus acetic acid caught zero to only incidental numbers of moths, ≤ 1.0. Adding phenylacetonitrile to traps baited with pear ester, ethyl ( E,Z )-2,4-decadienoate plus acetic acid significantly reduced catches of codling moth, Cydia pomonella (L.). However, adding phenylacetonitrile to traps baited with codling moth sex pheromone, pear ester, and acetic acid did not similarly reduce moth catches of C. pomonella . Interestingly, traps baited with phenylacetonitrile plus acetic acid caught significantly more P. pyrusana than traps baited with a commercial sex pheromone lure. The evaporation rate of the acetic acid co-lure was an important factor affecting catches of P. pyrusana with phenylacetonitrile, and studies are needed to optimize the emission rates of both lure components. Further studies are warranted to develop phenylacetonitrile and possibly other aromatic plant volatiles as bisexual lures for the range of tortricid pests attacking horticultural crops.
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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".