Biochar After Thirteen Years of Agricultural Crops on the Physical Attributes and Organic Carbon of a Yellow Oxisol in Central Amazon
Bibliographic record
Abstract
Biochar has been identified as a conditioner for the physical, chemical and biological properties of the soil. In this perspective, it is reckoned that when added in the long term, this material may condition improvements in the physical properties of agricultural soils. As a result, the objective of this work was to quantify changes in the physical attributes of the soil after thirteen years of the addition of biochar in a Yellow Dystrophic Oxisol in Central Amazon, in the agricultural ecosystem in Brazil. In a thirteen-year experiment (2006-2019) with rotation of agricultural crops, the physical properties of a clayey Yellow Oxisol with the addition of increasing doses of biochar, were studied. The experiment was conducted in randomized blocks, with four replications and four treatments, making up sixteen experimental units with a size of 10 m × 10 m (100 m2). The analysis of the results did not indicate a positive effect on most of the physical attributes studied, however, there was significance only for two sets of data. Compared to soil without biochar, there was a decrease in the density of soil particles, and an increase in soil resistance to penetration into the surface layer, in soil with biochar. No difference was found in the subsurface layer for all evaluated attributes.
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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 | 0.000 | 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 | 0.001 | 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".