Developmental Parameters of Spodoptera frugiperda (Lepidoptera: Noctuidae) Immature Stages Under Controlled and Standardized Conditions
Bibliographic record
Abstract
The fall armyworm, Spodoptera frugiperda (J. E. Smith, 1797), is the most important noctuid pest in the Americas and has recently become an invasive pest in Africa and in India. Having a detailed and standardized record of the biology and the larval development of S. frugiperda will be critical to further studies on integrated pest management, toxicology, and applied ecology. This study reports the temporal and morphological parameters of the immature stages of S. frugiperda for larvae fed on artificial diet under controlled conditions (25±1 °C, 70±10% RH and 14 hour photophase). The survival of the egg, larval, prepupal and pupal stages was 97.40, 98.33, 99.32 and 97.95%, respectively. The average duration of the egg, larval, prepupal and pupal stages were 2.69, 13.73, 1.43, and 9.24 days, respectively. All larvae passed through six instars, with significantly slower larval development for females. However, females had faster pupal development and heavier pupae, thus total time from egg to adult was not significantly different between sexes. With the growing importance of this highly polyphagous species, centralizing the fragmented information in the literature and standardizing its rearing methods will improve and facilitate future studies on this pest.
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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) | 0.001 | 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".