Effects of Industrial Organic Fertilisers on the Growth and the Yield of Irrigated Rice on Sandy Loam Soil
Bibliographic record
Abstract
Rice has become the main staple food of the Ivorian population, especially in urban areas. However, its production, by soils mineral fertilization in irrigated rice cultivation, remains a concern due to the leaching of fertilizers having harmful effects on the aquatic environment. This study aimed to evaluate the effects of industrial organic fertilisers on the growth and yield of irrigated rice on sandy loam soil. The experimental design used was in randomized Fisher blocks, with 3 replicates and 5 treatments, namely control (T), mineral fertilizer (MF) and two organic fertilizers (BioDeposit and Biofertil). MF was applied at dose of 50 kg N, 25 kg P2O5 and 103 kg K2O ha-1. As for BioDeposit, the Agro variant (BdW) was applied to the soil at 1,400 kg ha-1, and the Elixir variant, on the leaves, at 200 L ha-1, in addition to the soil application (BdA). Biofertil was applied at 600 kg ha-1. MF plots had the highest plant height (58.01 cm), number of panicles per plant (13) and paddy rice yield (3.76 t ha-1), with a 54.10% yield increase compared with control plots. The agronomic efficiency of MF was also the highest (3.6), followed by that of BdS (0.06). Those of BdA and Bf were negative. However, the effects of these fertilisers were not significantly different (p > 0.05) between treatments. Considering the performance of MF, which requires strict compliance with application measures, BioDeposit-Agro could be recommended for irrigated rice cultivation on predominantly sandy 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 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; 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".