Aggregation of potato leafhoppers, <i>Empoasca fabae</i> (Harris) (Homoptera: Cicadellidae), on a trap crop in an edible bean, <i>Phaseolus vulgaris</i> L., intercropping system
Bibliographic record
Abstract
The potato leafhopper is a serious pest of edible beans, causing significant yield reductions in the absence of control measures. Control recommendations in edible beans involve the application of phorate at planting or the foliar application of dimethoate when thresholds are reached. As an alternative to broadcast insecticide applications, the use of a highly susceptible bean cultivar, Berna Dutch brown, as a trap-crop was tested by interplanting one, two and four rows of Berna among rows of Stingray white bean at two locations in Ontario, Canada, in 2001 and 2002. Transect sampling of adults and nymphs indicated that potato leafhopper populations in the crop were not affected by different numbers of rows of Berna, although there were many more potato leafhoppers in rows of the Berna trap crop compared with adjacent rows of the white bean crop. An insecticide seed treatment (thiamethoxam) applied to rows of Berna in treated plots effectively lowered insect populations early in the season, but this combination did not improve the effectiveness of Berna as a trap for migrating adults. Damage inflicted by potato leafhoppers was initially highest in untreated plots and in the arrangement containing four rows of Berna. Differences among yields for treated and untreated plots of white bean were not significant. If planted as early-sown border rows, combined with better leafhopper management in the trap crop, Berna may be used as a trap cultivar to attract leafhoppers and consequently protect an edible bean main crop. Key words: Empoasca fabae, trap-crop, edible beans
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 | 0.000 | 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".