Salicylic acid mitigates hyperhydricity in newly developed potato shoots through reduced oxidation
Bibliographic record
Abstract
Hyperhydricity is a metabolic disorder of plants raised in tissue culture. In shoot cultures of potato (Solanum tuberosum L. ‘Atlantic’), hyperhydricity is induced by the synthetic cytokinin 6-benzylaminopurine (BA). Withdrawing BA from Murashige and Skoog (MS) medium and replacing it with salicylic acid (SA) restores lateral growth in mildly hyperhydric shoots. To evaluate the role of SA in reducing the extent of hyperhydricity in newly developed potato shoots, the physiological characteristics and enzyme activities of normal, hyperhydric, and SA-treated potato shoots were analyzed and compared. The results showed that the lower dose of SA (1 μmol·L−1) was more effective than the higher dose (100 μmol·L−1) at ameliorating the phenotypic and physiological characteristics of hyperhydric potato shoots. The SA-treated potato shoots did not significantly differ from normal potato shoots in term of phenotype and physiology. Oxidative stress in the hyperhydric potato shoots was alleviated by the SA-induced increases in free putrescine and spermine, glutathione, and increased activity of superoxide dismutase, catalase, and glutathione reductase, all of which were promoted by reactive oxygen species. The results also demonstrated that SA mitigates mild hyperhydricity and could help optimize potato propagation in tissue culture.
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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".