Prairie Soils & Crops Journal Managing the Pea Leaf Weevil in Field Peas
Bibliographic record
Abstract
The pea leaf weevil is one of the few insect pests of field peas in southern Alberta and southwest Saskatchewan. Adults cause distinctive notching on seedlings which generally does not affect yield. Larval feeding on nitrogen-fixing root nodules may reduce yield if soil is nitrogen deficient. Only field peas and faba beans are at risk of damage. Other crops in the bean family may be fed on by adults but do not suffer significant damage from larvae. The economic threshold during the second to fifth node stages in field peas is 30 % of seedlings with damage to the terminal (clam) leaf. Seed treated with thiamethoxam has produced more consistent yield responses than application of foliar insecticides but additional farm-level trials are required. Trap cropping the pea leaf weevil can be done by planting a border in the fall with winter peas or adjacent, earlier planting of a spring cultivar. Close monitoring of the trap crop is needed to control the weevils in the trap crop area before they move to the rest of the field. Fields under no tillage regimes suffer less damage than those under conventional tillage. Biological control is a research area that should be pursued for sustainable management of this pest. Background The pea leaf weevil, Sitona lineatus L. (Fig. 1), belongs to the most speciose insect order, the Coleoptera, and the most speciose beetle family, the Curculionidae. Although over 100 Sitona species occur worldwide, only 11 are found in North America and five of these were introduced1. The pea leaf weevil is a common pest of field peas, Pisum sativum
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".