Evaluation of Drought Resistant and Response of Millet Seed Germination Under Drought Stress
Bibliographic record
Abstract
Millet(Setaria italica(L.)Beauv) is excellent drought resisting crop and important to agriculture.But in recent years,with the warming of the global climate,the water is severe shortage,in the cultivation areas,annual precipitation is 250-450 mm,nine years of spring in ten years were drought,In order to select drought resistant varieties to adapt to cultivation on dry land.In this study,the materials were 9 millet materials.The sprout index of drought resisting,vigor index of drought resisting,and relative germination rate,relative germination potential of 9 millet seeds tested under different osmotic potentials(PEG-6000) to evaluate their drought resistance using the fussy subordinate function.The results indicated that Guo 08-25 and Chi 10-321 had relatively the highest and the lowest drought resistance.The average subordinate values of them resistance to drought stress were relatively 0.710 and 0.023.
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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".