Study of the agronomic performance of methanization digestate: the case of cucumbers
Bibliographic record
Abstract
Soil Agricultural intensification in tropical regions faces significant challenges, including soil depletion and increasing reliance on chemical fertilizers, the environmental impacts of which are concerning. This study aims to assess the agronomic potential of methacompost, a solid residue derived from the anaerobic digestion of laying hen manure, as an alternative organic fertilizer for cucumber (Cucumis sativus L.) cultivation. A field experiment was conducted in the Gontougo region (Côte d’Ivoire), comparing seven methacompost formulations, an unfertilized control, and a reference treatment with NPK fertilizer (15-15-15). Physicochemical analyses revealed a high ammoniacal nitrogen content in all methacompost formulations. Agronomic results showed that the treatments MP75%, MP50%, MP25%, as well as the combination NPK50% + MP50%, resulted in vegetative growth and yields comparable to or exceeding those obtained with mineral fertilizer. These performances are attributed to the rapid mineralization of nutrients, ensuring their availability to plants. Economically, some methacompost formulations also demonstrated a lower cost per unit of fertilizer compared to NPK. This study confirms the potential of methacompost as a viable organic fertilizer for vegetable crops in tropical zones. It paves the way for the agronomic valorization of livestock waste in a circular and sustainable agricultural framework.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".