Culture of Seashore Mallow under Different Salinity Levels Using Plastic Nutrient‐Rich Matrices and Transplantation
Bibliographic record
Abstract
Emergence and early seedling growth are critical for establishing reasonable plant population densities under saline stress conditions. An experiment with seashore mallow (Kosteletzkya virginica L.) seedling culture in plastic nutrient‐rich matrices and transplanted into pots filled with soil from a local farm field was conducted under five salinity levels (0, 0.3, 0.6, 0.9, and 1.2%). Emergence, survival, growth, and physiological characteristics were monitored for 45 d after seeding. Increasing salinity levels from 0.3 to 1.2% inhibited seedling growth through the reduction in leaf size, leaf number, and physiological traits. At 45 d after seeding, there was a reduction of 13 to 47% in photosynthesis, 18 to 62% in soluble protein, 6 to 84% in superoxide dismutase activity, and 20 to 81% in root activities, whereas free amino acids increased by 34 to 104%, proline by 18 to 167%, and malondialdehyde by 20 to 220%. The reduction in photosynthesis was mainly associated with the reduction in stomatal conductance. Emergence and survival rates could be maintained at ≥60% at salinity levels ≤0.9%. Our results indicate that seashore mallow could grow in saline soils with seedling culture in nutrient‐rich plastic matrices and transplanted into conventional soils provided that the salinity levels in nutrient‐rich medium and conventional soils are ≤0.9%.
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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) | 0.001 | 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".