Occurrence and activity of ecdysterone (insect moulting hormone) in plants
Bibliographic record
Abstract
The occurrence and biological activity of ecdysterone (insect moulting hormone) was examined in a number of plant species. A simple method was developed for the semiquantitative analysis of ecdysterone in plant extracts. The procedure consists of repeated washing of an aqueous methanolic extract of the plant with petroleum ether, followed by gradient elution of the freeze-dried aqueous extract on a SepPak (CIS reverse-phase cartridge), and high-performance liquid chromatography. Crude extract was purified on Sephadex LH20 for spectral analysis. Twelve species of ferns, three species of gymnosperms, and five species of angiosperms were examined for the presence of ecdysterone. Ecdysterone was found in a number of plant species, the chemistry of which has not previously been examined with respect to phytoecdysteroids. These include four species of ferns (Aspidotis densa (Brackenr.) Lellinger., Cryptogramma crispa (L.) R.Br., Blechnum spicant (L.) Roth, Polypodium glycyrrhiza D.C. Eat); two species of gymnosperms {Taxus brevifolia Nutt., Taxus canadensis Marsh.); and two species of angiosperms (Trillium cernuum L, Trillium ovatum Pursh.). Applied ecdysterone had no effect in a cytokinin bioassay, but elicited a slight increase in elongation of mung bean epicotyls (GA₃ bioassay) and elongation of excised dwarf pea hypocotyl hooks (auxin bioassay).
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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 | 0.001 | 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".