The damage repair role of He-Ne laser on wheat exposed to osmotic stress
Bibliographic record
Abstract
In order to determine the damage repair role of helium-neon (He-Ne) laser on wheat (Triticum aestivum L.) exposed to osmotic stress, 12-d-old seedlings (with two fully expanded leaves) were treated with osmotic stress using 5% (wt/vol), 10% (wt/vol) and 15% (wt/vol) polyethylene glycol (PEG 6000) treatment for 9 d. After 9 d of osmotic stress, a He-Ne laser was employed to irradiate seedlings of spring wheat for 0 min, 1 min and 3 min. Changes in the concentration of malondialdehyde (MDA), hydrogen peroxide (H2O2), glutathione (GSH), ascorbate (AsA), the production rate of superoxide radical (O2), the activities of ascorbate peroxidase (APX), peroxidase (POD), catalase (CAT), superoxide dismutase (SOD) and glutathione reductase (GR) were measured to test the effects of laser radiation. The results showed that laser radiation for 3 min conferred tolerance to osmotic stress in wheat seedlings by decreasing the concentration of MDA and the production rate of O2, and increasing the activities of SOD and APX and GSH concentration. It was suggested that those changes in MDA, O2, antioxidative enzymes and antioxidative compounds were responsible for the increase in osmotic stress tolerance observed in the experiments. Therefore, antioxidative enzymes and antioxidative compounds may participate in the repair effect of laser on seedlings under osmotic stress. This is the first investigation reporting the damage repair role of He-Ne laser on plants exposed to osmotic stress.Key words: Helium-neon laser, wheat (Triticum aestivum L.), osmotic stress, antioxidative system
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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".