Laboratory rearing methods for the soybean tentiform leafminer (Lepidoptera: Gracillariidae), a new pest of soybean
Bibliographic record
Abstract
Soybean tentiform leafminer (STL), Macrosaccus morrisella (Fitch) (Lepidoptera: Gracillariidae), is a leaf-mining microlepidopteran native to North America that was recently discovered feeding on soybean, Glycine max (L.) Merr., in Canada and the United States. A laboratory rearing system for STL was developed on live soybean plants. The methods for continuous rearing or cyclic (i.e., generational) production of insects are described herein. All rearing was performed in a walk-in environmental chamber at 25°C (±2°C), with ~70% relative humidity and a photoperiod of 16:8 (L:D). Adults of STL were allowed to oviposit on clean soybean plants in an oviposition cage. Soybean plants with STL eggs were maintained in a separate immature-development cage for a total of ~2.5 weeks, passing through the egg stage (3–4 days), larval development through the serpentine mine stage (4–6 days), blotch mine stage (5–6 days), and tentiform mine stage to adult emergence (7–10 days). Plants in the tentiform mine stage were then trimmed and transferred to a separate cage until adult emergence, typically beginning 19–23 days after egg oviposition. The methods described allowed for the successful rearing of STL, producing a steady supply of STL adults or plants infested with immature STL. The methodology can be modified to fit the needs of various research projects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.009 |
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".