Effect of graded levels of wheat-based dried distillers’ grains with solubles on rumen fermentation in finishing cattle
Bibliographic record
Abstract
A 4 × 4 Latin square experiment using ruminally cannulated heifers (388 ± 25 kg, mean ± SD) was conducted to evaluate the effects of graded levels (0, 7, 14, 21% DM basis) of wheat-based dried distillers’ grains with solubles (DDGS) on rumen fermentation characteristics and eating behaviour of cattle fed barley-based diets. Mean rumen pH at cutoff values of pH 5.8 or less (P = 0.02) and pH 5.5 or less (P < 0.01) and pH area between 5.2 and 5.5 (P = 0.02) decreased cubically as DDGS content increased with maximum pH at 2.6% and minimum pH at 14.7% DDGS inclusion levels. A cubic effect of DDGS inclusion level (P = 0.03) was noted for time below pH 5.2 where local minima and maxima were found at 2.9 and 15.0% DDGS. Ammonia N (P < 0.01) and the acetate:propionate ratio (P = 0.01) increased, while propionate decreased (P < 0.01) linearly as DDGS content increased. It was concluded that despite the high fibre, low starch nature of wheat-based DDGS, substitution for barley did not improve the acidic rumen fermentation conditions associated with feeding barley-based finishing diets. Key words: Wheat dried distillers’ grains with solubles, rumen fermentation, feeding behaviour, sub-acute ruminal acidosis
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".