A Study on Drought and Temperature Resistance of Five Grasses During Germination
Bibliographic record
Abstract
Seeds of five grasses(Agropyron cristatum(L.)Gaern,Elymus dahuricus turcz,Elymus sibiricus L.,Bromus ircutensis kom.and Bromus inermis leyss.) were subjected to hydration-dehydration pre-sowing treatment by simulating soil temperature and soil water content.Germination performance of the seeds after treatments were assessed for their resistance to high temperature and drought stresses,including Ger.Dor.Dead and G.i.The results showed that the five seeds were fit for being sowed under lower temperature,such as 5/25℃ and 5/30℃.The best sowing time is in spring and early summer.With ture pre-treatments for seed in some range of temperature,drought resistance and heat resistance were improved.The results showed Brimus ircutensis kom.was the best on resistance to high temperature and drought stresses,while Elymus sibiricus L.is the poorest.The other two were in the middle.
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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".