Allelopathic Effects of Pistia stratiotes (Araceae) and Lyngbya wollei Farlow ex Gomont (Oscillariaceae) on Seed Germination and Root Growth
Bibliographic record
Abstract
<em>Pistia stratiotes</em> and <em>Lyngbya wollei</em> are the two most common aquatic weeds that flourish in farm canals within the Everglades Agricultural Area of Florida. Identifying a useful application of these weeds would not only address important environmental concerns, but would also be an incentive for farmers to harvest it. The objective of this study was to determine use of <em>P. stratiotes</em> and <em>L. wollei</em> as soil amendments for stimulation of seed germination and root growth in different plant species. The effects of different rates of dried and grounded <em>P. stratiotes</em> and <em>L. wollei</em> on germination and root length of snap bean, corn, sorghum, common lambsquarters, and rice were evaluated using a controlled petri-dish incubation bioassay study. Overall, both amendments had a negative allelopathic effect on germination of all species. The highest reduction in germination of 80 and 43% by <em>P. stratiotes</em> and <em>L. wollei</em> respectively<em> </em>was observed on corn. Rice was the most tolerant to allelopathic effects that emanated from both amendments. There was a significant positive increase in rice root length in response to <em>P. stratiotes</em> rate over the two-week period. This study shows that <em>P. stratiotes</em> can be used as a potential bio-fertilizer to stimulate early growth of rice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".