Effect of Sodium Nitroprusside on the Growth and Enzymes Related to Nitrogen Metabolism of Melon Seedlings under Low Temperature Stress
Bibliographic record
Abstract
In order to study the effects of 200 μmol/L SNP for 1, 3, 5, 7 d on the growth and the enzymes related to nitrogen metabolism under low temperature stress 12/6℃, day/night, and to explore the feasibility of exogenous SNP regulating low temperature stress on melon ( Cumumis melo. L) seedlings, the melon seedlings were used as experimental materials and cultivated by substrate culture method. NO donor sodium nitroprusside (SNP) was sprayed on the leaves. The results showed that with the prolongation of low temperature stress, the seedlings growth and nitrogen metabolism were inhibited to some extent. After treatment with exogenous SNP , the seedlings growth (leaf area, shoot fresh weight and root fresh weight) , the contents of nitrate nitrogen, free amino acid, soluble protein and the activities of key enzymes of nitrogen metabolism (NR, NiR, GS, GDH, GOGAT and AS) were all greatly improved; the contents of ammonium nitrogen, the accumulation of H 2 O 2 and the production rate of superoxide anion radical (O 2 - ) decreased dramatically. In summary, the application of exogenous SNP can effectively alleviate the inhibition of low temperature stress on the growth and nitrogen metabolism, and enhance its low temperature tolerance. The longer the stress, the more obvious the effect.
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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) | 0.001 | 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".