In vitro Growth of Genovese Basil in Response to Different Concentrations of Salts and Interaction of Sucrose and Activated Carbon
Bibliographic record
Abstract
Genovese basil has great economic potential; however, there is no established micropropagation protocol for this species. Therefore, this study aimed at assessing the in vitro growth of Genovese basil in response to different concentrations of salts in the Murashige and Skoog medium (MS) and interaction of sucrose and activated carbon. Two assays were conducted independently in an in vitro environment using the MS medium, regulators, agar, and five salt concentrations (0, 25, 50, 70 and 100%). In the second assay, two concentrations of sucrose (30 and 60 g L-1) and three concentrations of activated carbon (0, 3.0, and 4.5 g L-1) were tested.In addition, copper and zinc were quantified in the roots. The results showed that shoots were favored when the medium was at its full strength (100% salts), with seedlings forming more leaves.This result may be associated with a higher demand for nitrogen and because of the ionic balance between NH4+ and NO3-. High concentrations of salts affected the roots, but a reduction to 70% salt favored root development. Doubling the usual dose of sucrose (60 g L-1) damaged the growth of the seedlings. Damage caused by osmotic and oxidative potentials, and by toxic compounds may be related to the observed results. The amount of copper and zinc in the root increased with increased concentrations of activated carbon in the medium. The presence of activated carbon reduced callus formation but did not mitigate the effects of increased sucrose concentration.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".