Effect of salinity on the vegetative characteristics, biomass and chemical content of red mangrove seedlings in the south of Iran
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We selected six months old seedlings of Rhizophora mucronata (Lam.) to evaluate the effect of different salinity on seedling growth, biomass and ion content in roots and leaves. We planted red mangrove propagules in plastic pots and irrigated them with freshwater (control), low salinity (EC: 8500 m.cm; 25% sea water+75% freshwater), moderate salinity (EC: 29000 m.cm; 50% sea water+50% freshwater) and high salinity (EC: 57000 m.cm; 100% sea water) for six months. Seedling grown at moderate salinity, had higher leaf number, collar diameter, height, root length, root dry weight, total dry mass weight and leaf area relative to seedlings grown at lower or higher concentrations. Concentrations of sodium and chloride ions in both leaves and roots increased with increasing salinity. Calcium, potassium and nitrogen in both leaves and roots were highest in the moderate treatment, followed by control, low salinity and high salinity treatments. All ions were higher in leaves, except for calcium, which was higher in roots. It can be concluded that the moderate salinity levels as it balances seedling quality with reduced demand for freshwater.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| 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 it