Cold Hardiness of Asian Longhorned Beetle (Coleoptera: Cerambycidae) Larvae in Different Populations
Bibliographic record
Abstract
The Asian longhorned beetle, Anoplophora glabripennis (Motschulsky) (Coleoptera: Cerambycidae), is distributed widely in China, where it causes severe damage to forests, and is a quarantine pest in Europe, the United States, and Canada. A. glabripennis overwinters as dormant larvae to avoid adverse environmental conditions. To elucidate the cold hardiness of A. glabripennis larvae, the supercooling point (SCP), freezing point (FP), and cold hardiness-related compounds were examined in overwintering larva from five populations in China (Yili, Yanchi, Wulateqianqi, Beijing, and Dezhou). The results showed that the SCP and FP differed significantly among populations, where the SCP of larvae in the Wulateqianqi population was the lowest and highest in the Beijing population. The water, fat, and glycogen contents also differed significantly among the five populations. The SCPs of larvae from all five populations were proportional to glycogen contents, but had no association with water contents and fat contents. The total contents of seven low-molecular weight compounds (glycerol, galactose, glucose, mannose, sorbitol, inositol, and trehalose) differed significantly among populations. Thus, A. glabripennis larvae from different geographical populations contained different sugars or sugar alcohols (especially glycerol, glucose, sorbitol, and trehalose), which helped them to resist cold temperatures. This study provides basic information about that may facilitate the prediction of distribution range expansions and ensure proper implementation of the integrated management of A. glabripennis populations.
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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 | 0.000 | 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) | 0.005 | 0.001 |
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".