Allelopathic Effect of Water Extracts from Leaves of Jatropha curcas on It's Seed Germination
Bibliographic record
Abstract
The allelopathic effect of water extracts from fresh and litter leaves of Jatropha curcas on its seed germination under different concentration was studied.The results showed that the concentration of water extracts at 1∶10,1∶50 and 1∶100(w/v) from fresh leaves and at 1∶10(w/v) concentration from litter leaves inhibited the seed germination,but other concentrations of the water extracts had positive effects,and the seed germination rate was the highest at 1∶150 concentration of the water extract from the fresh leaves.However,the inhibitory effect at high concentration was more remarkable than the stimulatory effect at low concentration.These studies indicated that the inclusion of the water extracts from leaves of Jatropha curcas had some autotoxicity effects on its seed germination,and presented a trend of stimulatory effects at low concentration and inhibitory effects at high.These results,indicated that the autotoxicity effects of leaves inclusions on condition that continuous cropping might lead to decrease Jatropha curcas seed germination percentage and germination energy,so Jatropha curcas nursery lands should be rotated.
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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".