Effect of Exogenous Substances on Antioxidant Protection Enzyme Activity of Drought Stress and Rewater for Malus hupehensis
Bibliographic record
Abstract
An experiment was set up,the effect of exogenous GB,ABA and NO to the antioxidant protection enzyme activity after drought and rewater using two-year-old Malus hupehensis for materials were studied and compared.The results showed that exogenous GB,ABA and NO significantly reduced the relative membrane permeability and MDA content in leaves of Malus hupehensis after drought stress and rewater.Compared with CK,in severe drought,the relative membrane permeability and MDA content respectively decreased by 13.5%,12.2%,18.4% and 32.4%,14.4%,37.6%;exogenous GB,ABA and NO improved the activities of SOD,CAT and POD in leaves of Malus hupehensis,in field moisture capacity 30% they respectively achieved the maximum,compared with the same period CK,POD activity respectively increased by 13.5%,13.4% and 24.4%,SOD activity respectively increased by 15.3%,13.7% and 16.2%,CAT activity respectively increased by 63.2%,53.7% and 95.3%,then the enzyme activity decreased.Exogenous GB,ABA treatment made the DHAR,APX,GR,MDHAR activity and the CAT activity had a same changing trends,also in field moisture capacity 30% they respectively achieve the maximum;exogenous NO treatment also made the DHAR,APX,GR activity had the same change tendency,although NO treatment made the MDHAR activity higher than the single drought treatment,but not reached significant differences.After rewater,the variation tendencies of the drought resistance and physiological indexes of Malus hupehensis was the same,which treaded with the different exogenous substances.The results clearly explained that exogenous GB,ABA and NO can effectively increase the antioxidant protection enzyme activity of the leaves,enhance the drought resistance of Malus hupehensis.Comparison between GB,ABA and NO treatment showed that,in the improvement of drought resistance of Malus hupehensis,NO treatment was the best one,GB treatment was next,ABA was the last one.
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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".