ASSESMENT OF SOIL FERTILITY STATUS OF SELECTED RICE GROWING AREAS IN KILOMBERO DISTRICT - MOROGORO, TANZANIA
Bibliographic record
Abstract
Soil fertility is an important factor in enhancing crop productivity. The study is aimed at assessing the soil fertility status in selected rice growing areas in Kilombero district and understand fertility variability among soils selected. Composite soil samples were collected in these rice growing areas at 0–20 cm deep and characterized for soil fertility status. This was done by analyzing twenty soil samples from rice growing villages of Kilombero district, whereby 20 soil samples were taken from 20 rice growing villages. The soil analysis included determination of total N, OC, P, soil pH, textural classes, exchangeable bases and micronutrients (ZN, Cu, Mn and Fe). The results showed that the soils surveyed are slightly to moderately acidic (pH 5.2 to 6.2). Results indicated that 80% of the soils were sand, 15% clay and the remaining 5% had loamy textural classes. Organic carbon ranged from very low to medium (0.40-2.53%), total N (0.11-0.32%). Also, results indicated that 50% of soils had P deficiency and 100% had inadequate S levels. In addition, 90% of the soils had inadequate exchangeable K and exchangeable Mg levels ranged from very low to medium (0.10-2.24 cmol(+) kg-1 ). Soils indicate to had 95% very low Exchangeable Ca with low base saturation. The CEC ranged from low to medium (7.0-21.60 cmol(+) kg-1). Extractable micronutrients such as Fe and Mn were adequate but Zn and Cu were inadequate in 35% and 10% of the soils, respectively. Results indicated that N, P, K, Ca and Zn were generally the limiting nutrients of which S and Na were limiting in all selected soil. Generally, the categorization of nutrient status indicated poor fertility in the studied soils. The results of the study area show deficient levels, however, there were variations in nutrient deficiencies in selected soils
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".