Allelopathic Effects of Extracts from Maize Roots and Rice Husks’ Residues on the Germination and Growth of Bidens pilosa L.
Bibliographic record
Abstract
Screen house experiment was conducted to examine the allelopathic effects of the extracts from residues of maize root and rice husk on the germination and growth of Bidens pilosa L. The extracts brought about considerable inhibitions in all the growth parameters of the extract-treated seeds examined. The degree of retardation of both extract treated seeds increased with increase in the concentration of the extracts which showed that the inhibition was concentration dependent. The results obtained showed that the degree of retardation appeared to be more pronounced in B. pilosa seeds treated with extract from maize roots in growth parameters such as number of leaves at harvest and leaf area, relative growth rates, dry roots and shoot weights were inhibited. Similarly the degree of retardation was more pronounced in rice husk extract-treated seeds in growth parameters such as germination percentage and speed of germination. Statistical analysis (P < 0.05) revealed that there were significant differences in germination %, dry shoot weights of B. pilosa seeds treated with 40 g and 50 g maize roots extract concentrations when compared to the control experiment while other concentrations showed no significant difference to control experiment. Also, speed of germination, number of leaves at harvest and leaf area of B. pilosa seeds treated with extracts from residues of maize roots showed significant differences when compared with the values obtained from the control experiments. However, there were no significant differences in the all the growth parameters with rice husk treated seeds compared to control experiments. Similarly, no significant difference was observed in the relative growth rate of B. pilosa seeds treated with maize root extracts compared to control experiments.
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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 | 0.000 | 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 | 0.001 |
| 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".