An Effective Cold Storage Method for Stockpiling <i>Halyomorpha halys</i> (Hemiptera: Pentatomidae) Eggs for Field Surveys and Laboratory Rearing of <i>Trissolcus japonicus</i> (Hymenoptera: Scelionidae)
Bibliographic record
Abstract
An effective stockpiling method for egg masses of the invasive brown marmorated stink bug (Halyomorpha halys [Stål]; Hemiptera: Pentatomidae) would be useful for rearing and field studies of its egg parasitoid Trissolcus japonicus (Ashmead) (Hymenoptera: Scelionidae). The current method of stockpiling H. halys egg masses at subzero temperatures has lethal and sublethal fitness consequences for T. japonicus. Our goal was to test the efficacy of refrigeration as an alternative method for stockpiling H. halys eggs. We show that parasitoid emergence from egg masses refrigerated at 8°C for up to two months before parasitism is higher than from frozen egg masses. In addition, 8°C cold storage usually had minimal or no sublethal fitness effects on emerging T. japonicus. Only after two months of host egg refrigeration did the emergence of T. japonicus begin to decrease significantly (by ~10% relative to untreated viable egg masses), whereas egg masses previously frozen at -80°C had a ~59% reduction in parasitoid emergence after 14 d of storage. Refrigerated egg masses that were subsequently exposed to a range of field-realistic average temperatures were still suitable for T. japonicus parasitism after 7 d. Our results demonstrate that refrigeration at 8°C, while resulting in complete mortality of H. halys embryos after 10 d, are more suitable for T. japonicus parasitism than those stored at -80°C. The quantity and quality of H. halys eggs that can be stockpiled with this method could facilitate T. japonicus laboratory colony maintenance, field monitoring, and releases.
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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 | 0.000 | 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) | 0.003 | 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 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".