Biology and management of <i>Coleophora deauratella</i> (Lepidoptera: Coleophoridae) in red clover seed-growing regions in North America and New Zealand
Bibliographic record
Abstract
Abstract Red clover (Trifolium pratense L.), a perennial forage legume belonging to the Fabaceae family, is grown for seed in many temperate regions of the world. Coleophora deauratella Leinig and Zeller (Lepidoptera: Coleophoridae) is a significant insect pest occurring globally in several primary red clover seed-producing regions. Coleophora deauratella inflicts crop damage by larval feeding on developing seed within individual florets, thus reducing seed yield. The first detection of C. deauratella and seed yield losses up to 90% were reported in the Peace River region of Alberta, in western Canada, in 2006, signifying its damage and potential threat to other red clover seed-producing areas of the world as an invasive insect pest species. As a result, crop stand age was reduced to 1 yr to mitigate seed yield loss caused by this pest in second-year fields in Alberta. Coleophora deauratella was first discovered in western Oregon in 2011, but the resulting economic damage remains unknown after more than a decade of its discovery. The first confirmed case of C. deauratella and tremendous seed yield devastation in red clover seed crops in the mid-Cantebury region of New Zealand occurred in 2016. Continued monitoring efforts in Oregon and New Zealand revealed that pest populations started receding after 2018, and the presence of unknown biocontrol agents, climatic, or genetic factors was speculated for its lower establishment rate. In this article, we discuss C. deauratella biology, ecology, and pest status in North America and New Zealand, along with the key research highlights to control C. deauratella.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".