Allelopathic Effect of Invasive Ipomoea cairica on Seed Germination and Seedling Growth of Five Vegetables
Bibliographic record
Abstract
Allelopathic effect of extract from Ipomoea cairica on seed germination and seedling growth of Raphanus sativus,Brassica chinensis var.oleifera,Brassica juncea,Lactuca sativa and Lactuca sativa var.ramosa were determined using seed germination method.The results showed that methanol extract from I.cairica exhibited evident inhibition on seed germination of B.chinensis and B.juncea,and the germination rates of B.juncea reduced 44.66%,43.34% and 42.00% respectively at 2 d,3 d and 4 d,and the allelopathy indexes was-0.563 0,-0.537 2 and-0.512 2 respectively.The extract also delayed the seed germination of L.sativa and L.sativa var.ramosa,but didn't influence the seed germination of R.sativus.The extract had evident inhibition on root growth of the five seedlings,and the inhibition increased with the rise of extract concentrations.The roots treated with the extract appeared as evident shortness and stoutness,reduction of root hairs or no root hairs,and brownness or death.The extract also evidently inhibited shoot growth of R.sativus,B.juncea,L.sativa and L.sativa var.ramosa,but promoted the shoot growth of B.chinensis,and the inhibition or promotive effect on shoot growth related to concentrations of treatment.The stems and leaves of I.cairica both contained allelopathy substances.
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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) | 0.002 | 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".