Fruitful female fecundity after feeding <i>Gryllodes sigillatus</i> (Orthoptera: Gryllidae) royal jelly
Bibliographic record
Abstract
Abstract Dietary honey bee royal jelly increases insect growth rates and adult body size. Royal jelly as a dietary supplement could enhance mass insect production by increasing the body size of mass-reared model species. To determine the effect of royal jelly on a cricket species, Gryllodes sigillatus Walker (Orthoptera: Gryllidae), farmed for human consumption, we ran two experiments. We tested the dose-dependent response of G. sigillatus to royal jelly using a range of diets across 0–30% w/w royal jelly. We also measured the individual-level life history responses to royal jelly over time by individually rearing G. sigillatus nymphs on two separate diets: half were fed a commercial cricket diet, and half were fed the same diet mixed with 15% w/w fresh royal jelly. We found sex-dependent effects: females fed the royal jelly diet were 30% heavier, and this effect was driven by significantly longer abdomens containing 67% more eggs compared to those fed the standard diet. Female mass was optimised at approximately 17% w/w royal jelly. Our results reveal that although a royal jelly dietary supplement can increase the yield of mass-reared insects, the life history responses are species and sex specific.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".