In vitro propagation of <i>Camellia fascicularis</i>: a plant species with extremely small populations
Bibliographic record
Abstract
Camellia fascicularis is an endangered evergreen ornamental plant with pale yellow flowers. An efficient and reproducible in vitro regeneration method is required for its large-scale propagation and germplasm conservation. In this study, one axillary bud per nodal stem was obtained from C. fascicularis cultured on Murashige & Skoog (MS) medium containing 0.1 mg L−1 indole-3-acetic acid (IAA) combined with 1.0 mg L−1 6-benzylaminopurine (BA). Axillary buds from the stem segments were transferred to modified woody plant medium (WPM) supplemented with 3.0 mg L−1 BA in combination with 0.3 mg L−1 IAA for multiplication, thereby resulting in a high shoot multiplication rate of 6.8. Multiple shoots were divided into nodal stems and shoot tips and were induced to root. The shoot tips were induced to root by culturing on one-half MS medium supplemented with 2.0 mg L−1 indole-3-butyric acid (IBA) in combination with 0.3 mg L−1 α-naphthalene acetic acid (NAA), which resulted in 76.0% rooting efficiency with 2.3 roots per shoot. The optimal hormone ratio for inducing rooting of nodal stems was 1.0 mg L−1 IBA in combination with 2.0 mg L−1 NAA, which resulted in 72.7% rooting efficiency with 1.7 roots per nodal stem. These two rooted plantlets were successfully acclimatized and established in a greenhouse.
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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) | 0.001 | 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 | 0.001 |
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".