Induction Regeneration and Artificial Seed Production of Etiolation Stems of <i>Cymbidium hookerianum</i>
Bibliographic record
Abstract
The protocorm-like bodies (PLBs) of Cymbidium hookerianum were used as the explants, the effects of different hormones and hormone concentrations on the induction of etiolation stems, the subsequent regeneration of etiolation stems, and artificial seeds production and conservation using etiolation stems were studied. The results showed that the most efficient etiolation stems production induced by PLBs was obtained by adding 0.1 mg/L NAA and 0.1 mg/L 6-BA. The induced etiolation stems cultivated on the medium containing 2.0/0.1 mg/L NAA/6-BA showed the highest induction rate of PLBs, with an average of 80.40%, and the induction number of PLBs was higher, with an average of 1.36. The Induced etiolation shoot tips could regenerate rootless seedlings on the medium, and these seedlings could root and strengthen on the medium of 1/2MS + 20.0 g/L sucrose + 7.5 g/L agar. The highest germination rate of artificial seeds produced by encapsulating etiolation shoot tips was obtained on the MS medium containing 1.0 mg/L 6-BA, with an average of 86.67%. After storing for 6 weeks, the germination rate of artificial seeds preserved at 4°C was the highest, with an average of 48.00%.
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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".