Effects of fertilizer microdosing on soil phosphorus and sulphur availability to Solanum macrocarpon in Southwest Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
This present study aimed at evaluating the effect of fertilizer rate and time of application on yield, and determined the availability of soil P and S to S. macrocarpon. The experiment was conducted in the derived savanna (Ogbomoso) and the rainforest (Ilesha) in southwest Nigeria. The treatments were arranged in a factorial combination and laid out in a split-plot design with four replicates. The main plots were the fertilizer rates of 0, 20, 40, 60, and 80 \, \mathrm{kg \, N \, ha^{-1}} (without organic fertilizer), with the time of urea application (at planting and two weeks after planting) as a sub-plot. S. macrocarpon was the test crop. Plant fresh weight, P, and S uptake were determined at the first harvest. The results showed that a fertilizer rate of 20 \, \mathrm{kg \, N \, ha^{-1}} produced significantly higher yields and uptake of P and S in the derived savanna ( 4.2 \, \mathrm{t \, ha^{-1}} ) and in the rainforest ( 1.2 \, \mathrm{t \, ha^{-1}} ). Application at two weeks after planting (2 WAP) produced higher yields ( 3.3 \, \mathrm{t \, ha^{-1}} ) in the derived savanna, while the application at planting (AAP) produced the highest yield ( 1.2 \, \mathrm{t \, ha^{-1}} ) in the rainforest. Although the time of fertilizer application did not affect fresh yields and nutrient availability, this study concluded that 60 \, \mathrm{kg \, N \, ha^{-1}} plus 5 \, \mathrm{tons \, ha^{-1}} was the optimum fertilizer combination for S. macrocarpon production in southwest Nigeria.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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