Production of Reactive Oxygen Species and Antioxidant Metabolism about Strawberry Leaves to Low Temperatures
Bibliographic record
Abstract
This study examined the influence of low temperature on the production of reactive oxygen species and antioxidant metabolism in two strawberry (Fragaria ananassa Duch.) cultivars (cv. Zoji and Toyonaka). Low temperature treatment was imposed by maintaining the plants at 0? for 2, 4, 6, 8, 12, 24, 48 and 72 h in an artificial intelligent growth chamber. During the period of low temperature treatments, the activities of peroxidative (POD), superoxide disumutase (SOD), catalase (CAT), ascorbate peroxidase (APX), dehydroascorbate (DHAR), glutathione reductase (GR), the production of O2- and H2O2, as well as the contents of antioxidant such as dehydroascorbate and reduced glutathione were up-regulated exception of the contents of ascorabte and chlorophyll in compared with the control. Meanwhile, cv. Toyonaka showed more tolerant to low temperatures than cv. Zoji since it showed higher activities of antioxidative enzymes, more contents of osmolytes (proline and soluble sugar) and less lipid peroxidation during the low temperature treatments. The present study suggested that plant had signal molecules sensing the environmental stress, following erecting its defensive system protective them against the damage caused by stress environment. However, if the stress were too powerful, plants could not response to acclimate that stress, the plants would be injured or even be dead finally. In the two cultivars examined, cv. Toyonaka has a more efficient antioxidant system against low temperature than cv. Zoji.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".