Micropropagation of the Halophyte Sarcocornia fruticosa (L.) A. J. Scott
Bibliographic record
Abstract
Details of investigation to evaluate the effects of the number of nodes (one, two or three) of Sarcocornia fruticosa explants on growth and multiplication rate of plantlets are presented in this paper. The responses of the 3-node explants to some supplementary sources of different aminoacids and growth regulators indol-3-acetic acid, 6-benzylaminopurine and gibberellins A3 were also analysed. Plantlets from 3-node explants showed a marked increase in growth and number of lateral shoots, indicating that Sarcocornia does not respond well when explants are very small. The addition of 100 mg l-1 casein hydrolysate plus 150 mg l-1 glutamine, and 100 mg l-1 casein hydrolysate plus vitamins showed to be good growth promoters in micropropagating Sarcocornia, giving longer plantlets and higher multiplication rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".