Effects of Biochar and Farm Yard Manure on Soil Properties and Crop Growth in an Agroforestry System in the Himalaya
Why this work is in the frame
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Bibliographic record
Abstract
Many parts of South Asia are facing agricultural land degradation and reduced productivity while the population continues to grow and demand for food is ever-increasing. This paper presents the results of research specifically focused on application of biochar and Farm Yard Manure (FYM) at 5t/ha and 20t/ha, respectively as an amendment on degraded soil in a coffee agroforestry system of the mid-hills in the Nepal Himalaya. The study showed that there were significant (P<0.05) positive effects on soil chemical properties, crop growth (height) and crop productivity. In particular, the soil pH and SOM increased significantly, while other soil properties were not significantly improved. Also, plant growth increased dramatically with application of biochar, however, crop yields showed only slight increases. It is suggested that biochar applied at low rates along with FYM generally has immediate positive effects on the vegetative growth of plants, however, soil properties and overall crop yields may take a longer time to show improvement.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it