Identification of potential natural enemies of the pea leaf weevil, Sitona lineatus L. in western Canada
Bibliographic record
Abstract
Sitona lineatus L., the pea leaf weevil, is an invasive pest of Pisum sativum L. (field pea) that has recently become established in Alberta, Canada. Adults consume seedling foliage and larvae feed on Rhizobium root nodules thereby reducing nitrogen fixation; both life stages can reduce yield. Eggs and adults are vulnerable to predators and parasitoids. In 2009, a series of experiments was undertaken to identify potential indigenous natural enemies of S. lineatus in southern Alberta. In three test arenas, eggs were exposed to starved ground beetles in no-choice tests for 48 h. Egg debris was observed when eggs were exposed to Bembidion quadrimaculatum L., Microlestes linearis (LeConte), Bembidion rupicola (Kirby), Bembidion timidum (LeConte), Poecilus scitulus LeConte, and staphylinid beetles. Of the two most abundant carabid species, the smaller B. quadrimaculatum consistently removed significantly more eggs (94.6%) than the larger Pterostichus melanarius (17.4%). Similar results were observed in Petri dish and egg card tests. No egg debris was observed in tests with Pt. melanarius. Presence of the larger beetle, Pt. melanarius, resulted in a lower rate of egg removal by the smaller B. quadrimaculatum relative to the rates observed for B. quadrimaculatum alone. Intraguild predation of B. quadrimaculatum by Pt. melanarius was observed in 47% of tests. These results suggest that B. quadrimaculatum is a potential predator of S. lineatus eggs in field pea agroecosystems and should be considered for use in conservation biological control and integrated pest management programs.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".