Development and Evaluation of Degree-Day Models for<i>Acrolepiopsis assectella</i>(Lepidoptera: Acrolepiidae) Based on Hosts and Flight Patterns
Bibliographic record
Abstract
The leek moth, Acrolepiopsis assectella (Zeller), was first discovered in Ottawa, Canada, during the 1993 growing season, representing the first known occurrence of this species in North America. Since then, it has become a significant concern in Allium vegetable production including garlic, leeks, and onions. Acrolepiopsis assectella was first detected in the contiguous United States during the 2009 growing season in northern New York. In this study, we evaluated the development of the US A. assectella population in the laboratory and commercial onion fields. Our results showed that this population required 443.9 degree-days to complete its life cycle on onions in the laboratory. The development of A. assectella on onion did not significantly differ from populations reared on garlic or leeks. Field studies revealed three distinct flight periods for overwintered, first- and second-generation adult males in northern New York. Life cycle duration in the field ranged from 4 to 8 wk. The degree-day prediction model evaluated in this study provided accurate estimates of the occurrence of the following generation. We conclude that this model can help growers to implement appropriate management strategies for different life stages in a timely manner and lessen damage by this new invasive pest.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".