Nitrogen Metabolism and Antioxidant System in Young Plants of Parkia pendula Submitted to Drought
Bibliographic record
Abstract
The (Parkia pendula (Willd.) Benth. ex Walp.) species most know as visgueiro is a native specie from the Amazon region, belongs to the family Fabaceae-mimosoideae and has been scientifically studied because it is used in landscape projects and the restoration of degraded areas. Intrinsic responses of this species due to water stress is still very superficial, lacking a larger scientific approach in nitrogen and oxidative parameters. For this, a greenhouse experiment was set up in the Federal Rural University of Amazon with seedlings, where they were submitted to water restriction. The experimental design was completely randomized in a 2 × 3 factorial design (control and water deficit, and three evaluation times), with 5 replications, totaling 30 experimental units. The results showed that the RWC reduced during the experiment from 73.5% to 52.99%, evidencing a lower amount of water in these plants. This condition caused the plants to respond positively to the increase of antioxidant enzymes (catalase, APX and SOD), making the plant defense system efficient. As well as for some variables of nitrogen metabolism. The results showed that the RWC reduced during the experiment from 73.5% to 52.99%, evidencing a lower amount of water in these plants. This condition caused the plants to respond positively to the increase of antioxidant enzymes (catalase, APX and SOD), making the plant defense system efficient. As well as for some variables of nitrogen metabolism. The species in this experimental condition was considered as sensitive to the water stress condition.
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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".