Plant Warfare: Allelopathic Effects of Nicotiana tabacum on the Germination of Vigna radiata and Triticum aestivum
Bibliographic record
Abstract
Allelopathic chemicals in many plants can be released into the surrounding soil and may affect the development of nearby crops. Understanding allelopathic effects can be extremely beneficial for both economic and environmental reasons. The information gained from understanding allelopathy may be used in the optimization of crop rotations. Previous studies have investigated the negative allelopathic effects of Nicotiana tabacum — tobacco, on corn and other crops. Our study investigated the allelopathic impact of tobacco on seed germination of mung bean, Vigna radiata, and organic red fife wheat, Triticum aestivum. Seeds were treated with various concentrations of tobacco leaf solution to study the effects of tobacco on germination of the seeds. The effects of tobacco on the germination rate and percentage of germination were analyzed using one-way ANOVA with Tukey HSD tests. Results showed that there was a significant decrease in germination rate at high concentrations of tobacco. Our findings suggest that allelopathic chemicals released by tobacco have detrimental effects on the germination of mung bean and red fife wheat. Therefore, when forming crop rotations, it is important to take into account and understand the allelopathic effects and interactions between different species planted in the same region.
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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 | 0.003 | 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 | 0.003 | 0.001 |
| 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".