Optimization of semi-artificial diet and temperature for rearing the codling moth Cydia pomonella (L.)
Bibliographic record
Abstract
The semi-artificial diet for codling moth,Cydia pomonella( L.),based on a formula from a previous study for mass rearing of the codling moth under artificial conditions,was improved. Totally five semi-artificial diets were used to comparing the development and reproduction of the codling moth from northwest China,and the laboratory population life table of the codling moth fed on the optimal formula was constructed at 20,24,28 and 32 ℃. The results demonstrated that the improved diet B based on soybean,sucrose,wheat starch and germ in addition to yeast extract could significantly influence developmental duration and population parameters of the codling moth from the northwest of China,in contrast to the original formulation. The survival rate increased by 50. 24%,and pupal weight increased by 26. 54 mg and oviposition per female increased by 85. 30 eggs. The duration of the laval stage decreased by 20. 18 d.Population trend index and fertility rate reached the highest at 24 ℃ with values of 16. 42 and 62. 44,respectively. The highest female proportion was 0. 55 and the intrinsic rate of increase( rm) 0. 08 at 28 ℃.These results suggested that the optimized semi-artificial diet is beneficial to the population increase of codling moth from northwestern China under the temperature ranging from 24 ℃ to 28 ℃.
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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".