Biology and Management of the Carrot Weevil (Coleoptera: Curculionidae) in North America
Bibliographic record
Abstract
Abstract The carrot weevil, Listronotus oregonensis (LeConte) (Coleoptera: Curculionidae), is a devastating pest of high value Apiaceous crops like carrots (Daucus carota subsp. sativusHoffm.), parsley (Petroselinum crispum (Mill.) Fuss), and celery (Apium graveolens L.). Although native to North America, it is a serious pest across the Eastern United States and Great Lakes region of the United States and Canada. Females deposit eggs in the petiole of cultivated hosts, and upon hatching, larvae tunnel down through the petiole and into plant roots causing wilting, yellowing, and plant death. Scouting procedures focus mainly on adult activity and require detection of small egg scars on the foliage and crown of the root, or reliance on traps that are only effective at the beginning of the season before the crop emerges. Several avenues of cultural, biological, and chemical control have been explored for this pest, but with limited success. Furthermore, investigation of these management strategies have primarily focused on carrot systems, neglecting other cultivated Apiaceae. Here we present a review of carrot weevil research and highlight key knowledge gaps in the carrot weevil system, which impede our understanding of this insect’s biology and behavioral ecology. Future research addressing these key knowledge gaps will expand our understanding of this pest and contribute to the development and implementation of more effective management strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".