Allelopathic effects of Psychotria viridis Ruiz & Pavon on the germination and initial growth of Lactuca sativa L.
Bibliographic record
Abstract
The effects of aqueous and ethanol extracts and leaf fractions of <em>Psychotria viridis</em> Ruiz &amp; Pavon (chacrona) at different concentrations on the germination and initial growth of <em>Lactuca sativa</em> L. were tested, and the phenolic and flavonoid compounds of these extracts and fractions were assessed. The bioassays consisted of the following treatments: crude aqueous extract (CAE) at 25, 50, 75 and 100% concentration, crude ethanol extract (CEE) and ethyl acetate, dichloromethane and methanol fractions at 6.25, 12.5, 25, 50 and 100% concentration and a control group. All treatments consisted of five replicates. The CAE, CEE and the ethyl acetate fraction of <em>P. viridis</em> caused both positive and negative effects on the seeds and seedlings of <em>L. sativa</em>.<em> </em>By contrast, the dichloromethane and methanol fractions only caused negative effects on <em>L. sativa</em>. The following compounds were identified in the extracts and fractions: gallic acid, chlorogenic acid, caffeic acid, ellagic acid, catechin, orientin, vitexin, quercetin, apigenin, rutin and luteolin, and the presence of the alkaloid N,N-dimethyltryptamine (DMT) has also been reported in the literature. <em>P. viridis</em> had allelopathic effects in all types of plant extracts and fractions tested, and one of these compounds or their combined action may account for these effects.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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".