Effect of Na_2SeO_3 on Physiological Characteristics of Rice Seed Germination under PEG Stress
Bibliographic record
Abstract
In this study,effects of 0 μmol /L,0. 5 μmol /L,1. 0 μmol /L,1. 5 μmol /L and 2. 0 μmol /L Na2SeO3 on physiological characteristics of rice seed germination under PEG stress were explored. The results showed that 0. 5 μmol /L and 1. 0 μmol /L Na2SeO3treatment significantly improved seed germination rate compared with the control. α-Amylase activity,soluble sugar and soluble protein content in germinating seeds were increased,but free amino acid content was reduced. Also,radical root activity and root length were increased.In contrast,2. 0 μmol /L Na2SeO3 exerted opposite effects on seed germination. Obviously,low concentrations of Na2SeO3 treatment can alleviate PEG stress,but high concentrations aggravated the adverse effects of PEG stress on seed germination.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".