A Study On Technology For Breaking Dormancy of Polygonatum sibiricum Red. Seeds
Bibliographic record
Abstract
In order to provide technical support for sexual propagation of Polygonatum sibiricum Red,we studied the effects of illumination,sand storage temperature,lukewarm water and exogenous growth regulating substances on the seed germination of Polygonatum sibiricum.The results showed that:Storing at 0 ℃ low-temperature sand under the condition of 120 days was favorite for seed germination;Seed germination rate under dark conditions was 37.78% which was higher than that under illumination of high germination rate,indicating that dark was beneficial for the germination of Polygonatum sibiricum seeds;After soaked 18-24 hours in 35-40 ℃ lukewarm waters,the germination rate of Polygonatum sibiricum seeds reached to 93.33%.Suitable concentration of GA3,6-BA,salicylic acid and chitosan increased the germination of Polygonatum sibiricum seeds significantly,and the germination time shortened remarkably.The concentration for GA3(150 mg/L) seed soaking 24 hours had the best effect,germination rate,germination potential,germination index and vigor index were up to 91.11%,62.22%,0.87 and 5.16,respectively;6-BA(100 mg/L) still can break bud dormancy in addition to promote seed germination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".