The Impact of Drought Stress on Guizhou Main Planting Effect of Flue-cured Tobacco Varieties (I)——The Impact of Drought Stress and Physiology Index
Bibliographic record
Abstract
In order to understand the drought resistance level of the current main flue cured tobacco varieties in Guizhou,test with flue-cured tobacco to water the most sensitive stage of water control,using pot experiment of cultivation to simualte the drought stress environment on different flue cured tobacco varieties,and the physiology index were observed. The results indicated that POD,SOD,CAT,protective enzyme activity change under drought stress in different flue-cured tobacco varieties,Drought resistance of tobacco was reflected to a certain extent; The activity of antioxidant enzymes in Flue-cured Tobacco under drought stress,the activity of POD enhanced adding in leaf,1. 5- 11 activity unit was higher than that of the normal plants,the amplitude of10%- 207%,the change trend of POD activit was same as SOD activity,increase rate was 13. 7%- 80%,CAT activity also increased 2%- 168%; The proline content in leaves of different varieties of flue-cured tobacco in different degree increased from 98% to 383% under drought stress; The amount of leaf MDA of different flue cured tobacco varieties under drought stress increased 20%- 478% than that of the control,and drought lead to an increase in electrolyte leakage value of flue-cured tobacco leaf,the relative electrical conductance also increased,it showed that drought stress destroyed the stability and integrity of biological membranes,all varieties of damage degree was between 35%- 68%. Different tobacco varieties under drought stress,drought resistance of tobacco plant biochemical indexes showed the difference between various indexes,the performance was not consistent.
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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 | 0.001 | 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".