Development of an efficient protocol for high frequency in vitro regeneration of a horticultural plant <i>Primulina tamiana</i> (B.L. Burtt) Mich. Möller & A. Webber
Bibliographic record
Abstract
Padmanabhan, P., Murch, S. J., Sullivan, J. A. and Saxena, P. K. 2014. Development of an efficient protocol for high frequency in vitro regeneration of a horticultural plant Primulina tamiana (B.L. Burtt) Mich. Möller & A. Webber. Can. J. Plant Sci. 94: 1281–1287. A rapid and efficient in vitro regeneration system was established for Primulina tamiana, an attractive ornamental plant of horticultural importance. The successful regeneration protocol employed induction of shoot organogenesis on leaf explants. Among the various plant growth regulators evaluated, thidiazuron (TDZ) proved to be the most effective in inducing rapid de novo shoot formation. The highest shoot regeneration frequency within the shortest time from leaf explants was obtained on medium enriched with 2.5 µM TDZ. Furthermore, leaf segments were found to be a more suitable explant for in vitro shoot regeneration compared with petiole explants. The abaxial side of the leaf segments, which was in contact with the culture medium, generated more shoots than the adaxial side. Scanning electron microscopic studies carried out at various stages of de novo shoot differentiation demonstrated that shoot organogenesis involved the formation of actively dividing regions from the epidermal and subepidermal layers of the explants. In vitro rooting of the regenerated shoots was attempted using two different auxins, IAA (3-indoleacetic acid) and 3-indolebutyric acid (IBA) (0, 0.1, 0.5, 1.0, 2.0, and 5.0 µM). The optimum concentration for root induction was found to be 5 µM IBA. Approximately, 98% of the regenerated plants survived transfer and acclimation to greenhouse conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".