Impact of Biostimulant and Synthetic Hormone Gibberellic acid on Molecular Structure of Solanum melongena L.
Bibliographic record
Abstract
A comparison study between the application of gibberellic acid (GA3) and Saccharomyces cerevisiae as a biostimulant on the growth and molecular structures of Eggplant (Solanum melongena L.) has been carried out through a pot experiment. Growth of Solanum melongena L. increased with exogenous application of GA3 followed by yeast. Chlorophyll contents of plant were enhanced with yeast treatment compared with GA3 application and control. Activitiy of antioxidant enzymes, catalase and peroxidase was increased with increasing concentration of GA3 and S. cerevisiae application particularly with using GA3. HPLC analysis showed the highest concentration of salicylic acid in plant treated with GA3 (104.20 mg) followed by S. cerevisiae (70.00 mg) application compared with the untreated plant (57.86 mg). Six common polypeptide bands were observed in treated and untreated S. melongena plants, their molecular weights were 16, 17, 34, 90, 120 and 150 KDa. While the untreated S. melongena plant is characterized by the presence of 8 polypeptide bands, their molecular weights were 19, 24, 32, 33, 36, 50, 109 and 133 KDa. Yeast treatment increased the number of protein bands to 12 instead of 8 in the control plant with molecular weights 18, 125, 74, 69, 62, 31, 30, 27, 25, 23, 20 and 18 KDa. Three polypeptide bands with molecular weights 25, 72 and 125 KDa were detected in S. cerevisiae and GA3 treated plants. PCR analysis showed that total of 16 amplified fragments was visualized in the tested samples. Eight fragments with different molecular weights, four of them are monomorphic bands while the others are polymorphic unique bands. Plant sample sprayed with yeast showed 5 fragments range in molecular weight between 426 to 1766 bp. Only one of these fragments was unique polymorphic fragment. Four monomorphic fragments range in molecular weight from 426 to 1213 bp were showed up in plant sample sprayed with gibberellic acid.
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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".