PSVIII-17 Effect of high-tannin sorghum grain on in vitro rumen fermentation and methane production
Bibliographic record
Abstract
Abstract The objective was to evaluate the potential of methane (CH4) mitigation of high-tannin sorghum (HTS) varieties (V). The experiment was arranged as a completely randomized block design with a 7 × 2 factorial arrangement of treatments, including 6 HTS varieties (BRS72, Dekalb; 81G67, Dupont-Pioneer; QL-BR95, Lucava; 6001, ACA; NYX, Unisem; Red Bird, Warner Seeds; 20.1±3.2 g/kg condensed tannins), a low tannin sorghum (LTS, 0.3 g/kg condensed tannins) and two levels of polyethylene-glycol (PEG; 0 and 1 g). Three independent batch culture runs were conducted using a basal diet (0.5 g) containing 72% sorghum, 18% corn stover and 10% soybean meal. Total gas production (TGP), CH4 production, gas production kinetics and dry matter digestibility (DMD) were evaluated. Data were analyzed with R studio 1.4.1106 using a mixed model and the Tukey instruction for mean comparison. Interaction (V × PEG) was not significant (P = 0.16) for DMD. However, DMD decreased (P > 0.05) 6.1 percentage units with HTS varieties compared to LTS. Furthermore, PEG increased (P > 0.05) DMD by 1.78 percentage units. The V × PEG interaction tended to be significant for TGP (P = 0.09; mL/g DM), where sorghum 81G67 + PEG showed the lowest gas production (486 mL/g DM). Kinetics of gas production were also affected. Fermentation rate was higher (P > 0 .05) for the LTS variety (0.0373 %/h) and lower (P > 0.05) for sorghum 81G67 (0.0317 %/h), while maximum volume of gas was 5.9% higher (P > 0.05) when PEG was included. Methane concentration (%) was lowest (P < 0.05) with QL-BR95 sorghum but CH4 production (mL/g DM) was not affected (P = 0.38) by sorghum variety. Methane concentration and production increased (P > 0.05) 8.9 and 4.1% respectively with PEG inclusion. In conclusion, HTS negatively affected digestibility and rumen fermentation while PEG minimized such effects. Sorghum grain varieties with high tannin content had negligible effects on rumen methanogenesis.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".