Application of the Sterile Insect Technique to Control American Serpentine Leafminer, Liriomyza trifolii (Burgess) (Diptera: Agromyzidae), in Ornamental Greenhouses
Bibliographic record
Abstract
This research investigated use of the sterile insect technique (SIT) to control American serpentine leafminer, Liriomyza trifolii (Burgess), an important insect pest of chrysanthemums and gerberas in Canadian ornamental greenhouses. Emergence and flight ability of treated L. trifolii were not compromised by X-ray exposure from a linear particle accelerator. Females treated with 150Gy and 170Gy were completely sterile, while residual male fertility was observed. Three sieves were designed to remove females prior to irradiation and improve SIT efficacy. Sieve pore dimensions of 1.543mm by 0.688mm excluded 76% of female pupae and doubled the male-to-female ratio. Knowledge of the endemic population density determines sterile insect release rates. The regression equation y = (√YSC - 1.36) / 0.0074 (R2 = 0.73) was found to provide an estimate of current L. trifolii populations. Results from this research regarding dose rate, mechanical sexing, and estimation of L. trifolii population density will aid in developing a commercial SIT program.
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".