Effect of Long-term Soil Drought on Physiological Characteristics of Yumai 54 during Flowering Stage
Bibliographic record
Abstract
This paper studied the physiological characteristics of Yumai 54 during flowering stage under different long-term soil drought.The results showed that leaf water potential,RWC,root activity and soluble sugar content of root decreased with soil moisture decreasing,and leaf WSD,soluble sugar content,proline content,the permeability of plasma membrane,the activities of SOD and POD in leaf and root praline content increased with soil water decreasing.In conclusion,Yumai 54 increased drought-resistance by physiological changes,such as water potential,RWC,root activity and transpiration rate reduced,soluble sugar content and proline content increased,and POD activity enhanced,etc.On the basis of above physiological changes,Yumai 54 could adapt to long-term soil drought during flowering stage.
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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".