Effect of Plant Age and Saline Water on Antioxidant and Peroxidase Activity in Sweet Pepper Fruit
Bibliographic record
Abstract
Sweet pepper (Capsicum annuum L.) fruits are an excellent source of bioactive products but the content of the same is related with the plant response to stressful conditions. Salinity is among the major constrains restricting to growth and development of plants, and optimizing irrigation strategies could improve fruit quality while saving good quality water. Mature fruits from plants grown at two saline concentrations (20 and 40 mM NaCl), beginning 50, 100 and 150 days after transplanting and a control (0 mM NaCl) were studied. Vitamin C levels fell as the salt concentration in the irrigation increased, while total phenolic compounds and POD activity rose. Additionally, early harvested fruits (young plants) produced fruits with higher concentration of vitamin C than those harvested later, but total phenolic compounds and POD activity showed the opposite behaviour. Marketable yield was also affected by the moment of salinization. Thus, the late the saline stress was imposed, the more attenuated was the effect on the studied parameters. The intensity of fruit response to salinity was significantly modulated by the age of the plant. Therefore, in addition to the level and duration of saline stress imposed, plant age should also be considered when determining the optimum irrigation strategy.
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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 | 0.001 |
| 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".