Sex pheromone of Nearctic <scp> <i>Agriotes mancus</i> </scp> and its similarity to that of three Palearctic <scp> <i>Agriotes</i> </scp> invasive in North America
Bibliographic record
Abstract
Abstract The wheat wireworm, Agriotes mancus (Coleoptera: Elateridae), is a predominant elaterid pest species in the Nearctic region, with a life history and morphology similar to those of Agriotes obscurus , Agriotes lineatus and Agriotes sputator , three Palearctic pest elaterids invasive in North America. Here, we report the identification and field testing of the sex pheromone of A. mancus. We collected headspace volatiles from female beetles on Porapak Q, and analysed aliquots of Porapak extract by gas chromatography with electroantennographic detection (GC‐EAD) and by GC‐mass spectrometry. In GC‐EAD recordings, two esters—geranyl butanoate and geranyl hexanoate—elicited antennal responses from A. mancus males. In field experiments, trap lures containing both geranyl butanoate and geranyl hexanoate afforded large captures of A. mancus males, which were—on average—approximately 30‐fold higher than captures in traps baited with a single ester. Traps baited with geranyl butanoate as a single‐component lure captured a significant number of Palearctic A. sputator , indicating the establishment of A. sputator in its invaded Nearctic range . With the A. mancus sex pheromone now known, it can be included in the development of pheromone‐based programmes to monitor and manage native and invasive Agriotes pests in North America.
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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".