Effect of Soaking Seed with Silenium on Physiological and Biochemical Characters of Pisum sativum Germinating
Bibliographic record
Abstract
The study dealt with the effect of Selenium on germination of Pisum sativum Linn seeds in different concentrations(0,3.0,5.0,10.0,15.0 and 20.0 mg/L).And tested catalase(CAT) and peroxidase(POD) and polyphenol oxidase(PPO) and superoxide dismutase(SOD)activity of soybean seeds soaked with Se through colorimetric and oxidize-self method.At the same time,tested electrolyte oozing rate and seeds germinating situation,the peroxidase activity,the superoxide dismutase activity and the polyphenol oxidase activity.The results demonstrated that the superoxide dismutase(SOD) activity reached the highest point at the treatment of 3 mg/L Selenium,soaked seeds with Selenium could increase seeds vigor and relative enzymatic activity obviously.The treatment of 5 mg/L Selenium could increase germinating rate and vigor index and CAT,PPO activity.The superoxide peroxydase(POD) activity reached the highest point at the treatment of 3 mg/L Selenium.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".