The Influence of Nitrogen Fertilizer Application on Yields and Nitrogen Use Efficiencies of <i>Solanum macrocarpon</i> and <i>Solanum scabrum</i> in Southwest Nigeria
Bibliographic record
Abstract
Solanum macrocarpon and Solanum scabrum are good sources of vitamin, minerals, protein, anti-oxidants and fiber in southwest Nigeria. The study examined the effects of nitrogen fertilizer application on yields and nitrogen use efficiencies of Solanum macrocarpon and Solanum scabrum in Iwaro-Oka, Ondo State in southwest Nigeria in 2014 and 2015. The experiment was a 4 × 4 factorial arranged into a randomized complete block design with four rates of urea-N drilled at 0, 40, 80 and 160 kg/ha and replicated four times. Each plot was 3 m × 2 m with space of 1 m between plots. Vegetable seeds were planted by drilling. Fresh shoot and dry matter yields were determined. Nitrogen content and uptake were determined, and nitrogen use efficiency estimated. The result showed that average dry matter weight for S. macrocarpon was 228 kg/ha and S. scabrum was 6116 kg/ha. Average nitrogen uptake was 5.90 kg/h and 158.60 kg/ha for S. macrocarpon and S. scabrum, respectively. Nitrogen use efficiencies were 6.48 kg/ha, 0.15 kg/ha and 0.1 kg/ha for S. macrocarpon and 87.33 kg/ha, 26.14 kg/ha and 24.35 kg/ha for S. scabrum at 40, 80 and 160 kg N/ha, respectively. Negative values were obtained for N-recovery for S. macrocarpon while S. scabrum gave 5.85%, 2.10% and 1.44% at 40, 80 and 160 kg N/ha, respectively. The study concluded that S. scabrum had higher nitrogen use efficiency in the soil than S. macrocarpon and that highest NUE and N recovery were obtained at 40 kg N/ha.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".