Evaluation of Allelopathic Effects of Iranian Rice Cultivars (Oryza sativa L.) on Growth Factors of Barnyard Grass (Echinochloa cruss-galli L.)
Bibliographic record
Abstract
In order to investigate the ability of aqueous hull extract of Iranian rice cultivars in controlling barnyard grass germination and seedlings growth, a factorial experiment was carried out at both Laboratory and greenhouse based on RCB (Randomized Complete Blocks) with 3 replication. In this study which was performed in 2010 at Tarbiat Modares University, the effects of 20 rice cultivars hull extract were considered on germination and seedling growth of barnyard grass weed at four concentrations (0, 5, 10 and 15 percent). Lab studies showed that some of the rice cultivars have stimulating effects on barnyard grass growth, while some others have inhibiting effects. Khazar cultivar showed the highest inhibiting effect on germination percentage, germination rate, radicle length, plumule length, radicle and plumule dry weight. Breeded cultivars had higher inhibition effects than natives, while the native cultivars were more stimulating on barnyard grass seed germination. The greenhouse part of study showed that Khazar cultivar causes significant reduction in germination percentage, germination rate, radicle length, radicle and plumule dry weight and whole plant dry weight of barnyard grass. Neda cultivar showed the highest effect in controlling plumule length. The study showed that various rice cultivars have different effects on inhibiting or stimulating the growth factors of barnyard grass.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".