Effect of Different Disinfection Reagents on Setaria sphacelata cv. ‘Narok’ Seed Germination
Bibliographic record
Abstract
Setaria sphacelata cv. Narok is one of excellent tropical grass forages. But during germination,the seed is too easy to mold that restricts its production and utilization seriously. Using the sodium hypochlorite,hydrogen peroxide,copper sulfate,potassium permanganate and ethanol on seed disinfection process to experiment,it showed that the five kinds of disinfection methods all could reduce the seed mildew rate and improve the vigor of seed. Copper sulfate is the most ideal vitro disinfectant for Setaria sphacelata cv. Narok seeds.1. 5% of copper sulfate treatment for 10 min effects best. The germination rate,germination index and vigor index were 22%,7. 38 and 0. 006 6 respectively and They were significantly higher 2. 8 times,3. 4 times and4. 1 times respectively than those of the control; But the mildew rate was reduced by 84% than the control.
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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 | 0.000 |
| 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 | 0.000 |
| 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".