Silicon and salicylic acid mitigate water stress in <i>Cedrela fissilis</i> Vell. seedlings under water restriction
Bibliographic record
Abstract
Supplementation with silicon (Si) and salicylic acid (SA) represents a mitigating solution to water deficit stress in some species. However, studies related to native tree species are scarce. This work evaluated the application of Si and SA doses in Cedrela fissilis Vell. seedlings during and after water restriction (WR). We had 8 treatments: control; WR and treatments with WR + 3 doses of Si (0.42, 0.84, and 1.68 g·L−1) and SA (100, 200, and 300 mg·L−1). Seedlings were evaluated at two periods: P0, when the photosynthetic rate ( A) of seedlings presented values close to zero; and REC, the period in which the previously stressed seedlings reached an A value equal to or greater than control. We observed that seedlings showed reduction in the photochemical and biochemical metabolism of photosynthesis. Foliar application of Si at 0.84 g·L−1 ensures metabolic adjustments in water use efficiency.
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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".