Effect of biochars differing in source, inclusion level and post-pyrolysis treatment on in vitro methane production and fermentation of a barley silage-based beef cattle diet
Bibliographic record
Abstract
This study comprised four in vitro experiments, two batch culture and two Rumen Simulation Technique (RUSITEC), to evaluate the potential of biochar to mitigate enteric methane (CH4) in beef cattle diets. Biochar products used in the study were coconut (CP001 and CP014) or pine (CP002, CP015, CP016, CP023, CP024), differing in their physical and chemical composition. In the batch culture, they were evaluated at different levels of inclusion (Exp. 1: 4.5, 13.5 and 22.5 %; Exp. 2: 2.3 and 4.5% diet DM) and particle size (Exp. 2: < 0.5, 0.5-2.0, > 2.0 mm) to determine effects on DM disappearance (DMD), total gas and CH4 production and ruminal fermentation parameters (pH, volatile fatty acids (VFA), and ammonia nitrogen (NH3-N)) when added to a barley silage-based diet. In Exp. 1, level of biochar inclusion linearly (P < 0.01) decreased DMD but had no effect (P > 0.05) in Exp. 2. In both experiments, total gas production and CH4 were not affected (P > 0.05) by biochar treatment nor level of inclusion. Rumen fermentation parameters were also not affected by treatment (P > 0.05) or level of inclusion (P > 0.05) in either experiment. Additionally, particle size had no effect on any measured parameters (P > 0.05). Subsequently, two RUSITEC experiments evaluated: 1) three pine-based biochars (CP016, CP023, CP028), and 2) three spruce-based biochars treated post-pyrolysis with salt (ZnCl2) or acids (HCl/HNO3 or H2SO4), respectively. In both experiments, biochar was included in a barley silage-based diet at 2 % of diet DM. Biochar did not affect (P > 0.05) nutrient disappearance parameters (DM, OM, CP, NDF, ADF or starch disappearance), total gas or CH4 production in either experiment (P > 0.05). Rumen fermentation parameters (P > 0.05), total protozoa counts (P > 0.05) and microbial protein synthesis were also unaffected (P > 0.05). Lastly, alpha and beta diversity and rumen microbiota families were unaffected by biochar (P > 0.05), except for family Rikinellaceae. In conclusion, biochar did not offer the potential to mitigate enteric CH4 emissions nor improve rumen fermentation parameters in a barley silage-based diet in either batch culture or RUSITEC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 source (direct Gemma or distilled Codex), 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".