Allelopathic Effects of Leymus chinensis Grassland Litter on Medicinal Plants of Saposhnikovia divaricata(Turcz) Schischk and Bupleurum chinense
Bibliographic record
Abstract
In order to research the allelopathy of Leymus chinensis grassland litter on medicinal plants of S.divaricata and B.chinense,three kinds of different level of L.chinensis's aqueous(B:16.2 mg/mL;C:32.3 mg/mL;D:64.6 mg/mL)was used,comparing with distilled water(A),their effect on seed germination and seedling growth of S.divaricata and B.chinense was investigated with the method of bioassay.The results showed that aqueous extracts had no significant effects on the seed germination.Different concentrations of aqueous extracts had significant effects on early seedling growth,especially on root growth of S.divaricata and B.chinense.The results showed that aqueous extracts had no significant effects on embryo,though the allelopathy of aqueous extracts from the litter of L.chinensis grassland on the embryo of B.chinense was promoted,but on the embryo of S.divaricata was inhibited.Aqueous extracts had significant effects on root growth(p0.05) of S.divaricata and B.chinense.Compared with the control,the results had shown inhibition on seedling weight when the aqueous extracts concentration was D.
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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".