Drip irrigation scheduling for optimizing productivity of water use and yield of dry season pepper (<i>Capsicum annuum</i> L) in an inland valley swamp in a humid zone of Nigeria
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Bibliographic record
Abstract
The effects of drip irrigation schedules (weekly and fortnight intervals) on water use, yield and water productivity of dry season pepper grown in inland valley swamp was investigated between December 2009 and May, 2010. The first planting (December, 2009) adequacy of soil moisture from planting to date of first flowering was assumed, thereafter irrigation was imposed during reproductive growth. In the second sowing (Janaury, 2010), pepper seedlings were drip-irrigated weekly and fortnightly from transplanting to fruit harvest. In both experiments, irrigation was imposed using low-head (gravity) drip system weekly and fortnightly and 1.38 litres of water per plant at each irrigation while soil moisture storage ranged from 100 to 50 % of plant available water. Higher root biomass and densities at soil depths were obtained for fortnight irrigation over weekly. Within the crop root zone, and across irrigations, soil moisture contents ranged between 14.7 and 11.8% for the respective surface (0 – 20cm) and lower (30-45 and 45-60 cm) soil depths. Soil moisture tension were - 7 to -10 bar and -10 to -14 bar for the respective seedling establishment and reproductive growth phases. Total fruit yield and water productivity were higher (8.8 and 1.85 kg/ha/mm) in December over January (8.5 t ha -1 and 1.25 kg/ha/mm) sowing. In addition, over weekly (9 t ha -1 ) irrigation, fruit yield obtained (8.1 t ha -1 ) under fortnight irrigation translated to 24 % water savings.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it