Enzymatic and Non-enzymatic Antioxidant System in Young Plants of Tachigali vulgaris Submitted to Drought
Bibliographic record
Abstract
Tachigali vulgaris is a pioneer species, colonizing marginal lands and roadsides, often initiates secondary succession in open areas by the intense germination of their seeds in the soil. The main components of the antioxidant defense system can be divided into enzyme found primarily intracellularly (superoxide dismutase, catalase, guaiacol peroxidase, ascorbate peroxidase, glutathione reductase, etc.) and small non-enzymatic molecules that can be divided into soluble in water (ascorbic acid, glutathione and bilirubin) and lipid soluble (α-tocopherol, β-carotene and lycopene). Plants were then separated into leaves and roots, wrapped in aluminum foil and stored in Ultrafreezer at -80 °C. To determine the enzymatic activity and biochemical analyzes, the plant material was first frozen in liquid nitrogen and subsequently lyophilized. The experimental design was completely randomized in a factorial 3 × 2 (three times: zero, five and ten days of water suspension, and two water conditions: control and drought stress), with four repetitions. Analysis of variance was applied to the results and when significant difference, the means were compared using the t test adopting the 5% level of probability through the statistical package (7.7 beta Assistat, 2015). Since they were able to drive quickly the enzymatic antioxidant defense system (SOD, CAT and APX), however, failing to reduce oxidative damage resulting in the death of them.
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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) | 0.001 | 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".