Absorption Curve and Germination of Jucá Seeds under Different Salts
Bibliographic record
Abstract
The plants are subjected to conditions of multiple stresses that limit their growth and development, which affects their chances of survival wherever they grow. To evaluate the plant tolerance to these conditions, one of the most used methods is the observation of seed germination under salt stress. The action of salts on the seeds varies widely among species and can exert toxic effects, causing damage before and/or after the onset of germination. Therefore, the objective of this work was to evaluate the influence of different salts in water absorption and germination in jucá seeds (Libidibia ferrea). For absorption and germination curve, were used non-scarified and scarified seeds, and subjected to the treatments in distilled water (control) and NaCl solutions, KCl, CaCl2 and K2HPO4, in an electric conductivity of 5 dS m-1. The saline solution composed by K2HPO4 influence on water absorption of L. ferrea in intact seeds. The scarified and non-scarified seeds of L. ferrea have different times for the physiological phases of water absorption. The action of salts in the germination and vigor in non-scarified and scarified seeds, does not significantly reduce these values due to electrical conductivity of 5 dS m-1 not be enough to affect the seed germination of L. ferrea.
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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".