Evaluation of allelopathic stress of St. John's wort (Hypericum perforatum) on the germination, physiological, and biochemical characteristics of green pea (Pisum sativum), the benchmark plant sensitive to allelochemicals
Bibliographic record
Abstract
Introduction:In agricultural systems, physiological, and biochemical responses of plants under stress.One of these factors is the biochemical reactions between plants along with the production of secondary compounds.Allelochemicals mainly have defence and cell wall ligninization roles plants.Thus, an experiment was carried out to evaluate the effect of allelopathic stress of perforatum on the germination, physiological, biochemica pea, the benchmark plant sensitive to allelochemicals. Materials and methods:The treatments included different concentrations of (i.e., 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, a completely randomized design with three replications University in 2023.Results: The results of this study showed that one of the biochemical characteristics of green pea is the concentration of the percentage and rate of green pea germination, radicle and plumule length, plumule decreased with increased concentration of aqueous extract compared to the control, so that the greatest reduction in these characteristics w content of compatible osmolytes such as proline and soluble sugars, phenolic and flavonoid compounds antioxidant activity of green pea roots and plumules increased significantly in all studied treatments, highest increase in these characteristics observed at the concentration of 100% of extract.In general, the decrease in the dry weight of green pea seedlings due to the increase in the concentration of the aqueous extract of physiological and biochemical traits, indicates the high intensity of allelopathic stress of extract and their insufficiency, which leads to cytotoxicity against oxidative stress Conclusion: Considering the het allelochemicals and its distribution in gardens, barren lands, and wheat and corn fields, the possible effect of their residues in the next planting and even in case of presen
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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 | 0.005 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".