Relationship between Soil Salinity and Physico-chemical Properties of Paddy Field Soils of Jhilwanja Union, Cox’s Bazar, Bangladesh
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Bibliographic record
Abstract
This study attempts to examine the relationship between soil salinity and physico-chemical properties of paddy field soils of Jhilwanja union in Cox’s Bazar, Bangladesh. Data were analyzed by the help of Statistical Package for the Social Sciences (SPSS: version-18) and study area map was prepared by Arc GIS 9.3 software. Present investigation reveals that soil textural class ranged from sandy to loam, a mean bulk density 1.58 g/cm3, and high soil temperature (M = 31.55). Soils were moderately acidic to basic and soil salinity (EC) content comes under low to medium (minimum = 3.10 dS/m, maximum = 7. 24 dS/m) range. The organic matter level exhibited absolutely lower (M = 0.75) than good agricultural soil. Soils of the area represents low in total N (M = 0.08), very low in total P content (M = 0.06), exchangeable Ca (M = 0.0009) were too low and lower content of exchangeable Mg (M = 0.26), but high level of exchangeable K (M = 0.57) content. Simple regression analysis showed that there was a significant effect of soil salinity on soil pH, soil temperature, OM, total N, total P, exchangeable K and Mg. Repairing coastal embankment (rubber dam), cultivating native high yielding variety, using organic fertilizer, implementing Integrated Soil Nutrient Management (ISNM) and adapting Integrated Coastal Zone Management (ICZM) can increase crop production and soil fertility level in study area.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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