Germination Response and Drought-resistance Evaluation of Cotton Seed to Osmotic Stress in Northern Xinjiang
Bibliographic record
Abstract
Seed germination responses and drought resistance estimation of 7 cotton with different drought resistance,which were widely planted in northern Xinjiang,to water stress were conducted through adopting PEG solution simulate soil drought treatment.The results showed that the germination rate,germination vigor and germination index were all decreased,and the average germination time were enlonged with PEG concentration increasing.Cotton seed were sensitive to water sress during germination process,and its germination ability were almost lost in 10% PEG.The drought resistance of the same cotton seed were not indentical to different water stress.Xinluzao No.33 and Yinong No.2 had better drought resistance,but the drought resistance of Xinluzao No.24 and Xinluzao No.31 was worse,this phenomenon suggested that the relative germination rate could be used as a rapid efficient index to evaluate the drought resistance of cotton at germination process.
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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 | 0.002 | 0.001 |
| 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".