Assessing The Effect of Naphthalene Acetic Acid and 6-Benzylaminopurine on<i> In Vitro</i> Micropropagation of Potato (<i>Solanum tuberosum</i> L.) and Estimation of Secondary Metabolites in <i>In Vitro</i> Micropropagated Shoots
Bibliographic record
Abstract
The effect of Naphthalene acetic acid (NAA) and 6-Benzylaminopurine (BAP) was investigated on in vitro micropropagation of potato (Solanum tuberosum L.) and secondary metabolites of in vitro micropropagated shoots were also estimated. Eight micropropagation media containing different level of NAA and BAP were studied and the effect of NAA and BAP on in vitro micropropagated shoots was assessed. However, in this research study, medium MPm 7 having 2.75 mg/l BAP was proved to be best for giving maximum number of shoots per explant in both genotypes to be studied. The genotype, PRI-Red yielded maximum number of shoots on this medium thus these in vitro micropropagated shoots were subjected to phytochemical analyses and were compared with shoots of intact plant (field grown) for secondary metabolites viz., alkaloids, flavonide and total polyphenolic contents. In phytochemical analyses, no alkaloids were not detected in both in vitro micropropagated shoots and shoots of intact plant while both plants showed positive test for presence of polyphenolics. Shoots of intact plant contained higher amount of total polyphenolics (3.7 GAE mg/g fresh wt.) as compared to in vitro micropropagated shoots (2.8 GAE mg/g fresh wt.). However, slightly higher amount of flavonide were detected in in vitro micropropagated shoots (1.8 mg/g) than shoots of intact plant (1.6 mg/g).
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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 | 0.001 |
| 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".