In virto Propagation Response of Rosmarinus officinalis L. to Biotic and Abiotic Elicitors on Phenolic Content and Photosynthetic Pigments
Bibliographic record
Abstract
Micropropagation protocol was modified to evaluate the best procedure to induce multiple shoots from Rosmarinus officinalis L. sterilized seedlings obtained from seeds which vitality is always very low. Aseptic shoots (1-1.5 cm) were cultured on full strength Murashige and Skoog medium modified with several growth regulators (abiotic elicitors): Benzyladenine (BA), Kinetin (Kin) and coconut water (biotic elicitors). Data was indicated that BA at the concentration of 3 mg/L encouraged shoot multiplication. The highest number of leaves and plant length also was obtained with medium modified with 3 mg/L BA and coconut milk at 5 ml/L. All treatments were significantly different from the control. Total phenolics content, anthocyanins, chlorophylls were extracted and spectrophotometrically determined as secondary products. Data was concluded the highest content of phenolic 10.45 (mg/g) and chlorophyll b 0.67 (mg/g) when BA was 3.0 mg/L. Whereas chlorophyll a reached to 0.64 mg/g in presence of 5.0 mg/L BA and 5.0 ml/L coconut milk. Anthocyanin scored high level when BA was 3.0 mg/L combined with 5.0 ml/L coconut milk.
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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".