Effects of Superabsorbents Containing Montmorillonite and Polysaccharide on Seed Germination Ability of Salvia Splendens
Bibliographic record
Abstract
A series of environment-friendly superabsorbents containing natural component montmorillonite( MMT) and sodium carboxymethyl cellulose( CMC) were prepared under room temperature characterized by low-energy consumption using orthogonal experiment. The effects of natural products content and synthetic conditions on seed germination and seedling growth index of salvia splendens were investigated. Orthogonal range analysis showed that MMT and CMC has the great influence on seed germination and seedling growth of salvia splendens. The synthesized water-retaining agent could significantly improved the seed germination capacity and promoted the seedlings growth of salvia splendens. After treating the salvia splendens seeds with optimized superabsorbents,their germination rate,germination potential,germination index,vigor index,root length,lateral root number,total root length and total dry weight were 13. 1,4. 5,12. 6,16,4,65,53. 7 and 16. 7 times as great as the untreated seeds,respectively,which was of great significance to improved the seed germination capacity and promote seedlings growth of salvia splendens,providing the experimental basis for the application of superabsorbents containing natural component in seed preservation and seed production.
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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 | 0.000 |
| 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 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".