Available Micronutrient Status and Their Relationship with Soil Properties of Jhunjhunu Tehsil, District Jhunjhunu, Rajasthan, India
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Bibliographic record
Abstract
The aim of this study was to evaluate available micronutrient (Fe, Cu, Zn, Mn and B) status and their relationship with soil properties. To study this, there were seventy surface soil (0-30 cm depth) and plant samples, each collected from wheat growing fields of Jhunjhunu tehsil. The soils were analyzed for physico-chemical properties and status of available micronutrients. Grain and straw samples of wheat plant separately analyzed for micronutrient contents. The sand, silt and clay content of the soil ranges from 76.70 to 90.40, 1.30 to 7.50 and 5.20 to 12.90 per cent, respectively and these soils categorized as sandy, loamy sand and sandy loam. The soils were moderately calcareous in nature and having CaCO3 content ranges from 3.90 to 12.00 per cent. The analyzed samples showing lower in organic carbon and CEC and their ranges from 0.06 to 0.43 per cent and 2.40 to 10.40 cmol (p+) kg-1, respectively. The pH (8.10 to 9.20) and EC (0.20 to 2.14 dSm-1) values indicated that soils were found to be moderately alkaline and non-saline in nature. The 90 per cent of analyzed soil samples were found to be deficient in iron and 70 per cent deficient in zinc and their values ranges from 1.22 to 5.87 and 0.12 to 1.30 mg kg-1, respectively. While the remaining micronutrients (Cu, Mn and B) shown to be sufficient and their values ranges between 0.17 to 3.32, 2.03 to 5.67 and 0.37 to 1.51 mg kg-1, respectively. The availability of micronutrients indicating positive and significantly correlated with silt, clay, organic carbon and CEC of soils, whereas, negative and significantly correlated with sand, calcium carbonate and pH of the soils. The availability of micronutrients in wheat grains and straw positively correlated with silt, clay, organic carbon and CEC and negatively correlated with sand, CaCO3 and pH of soils.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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