Acidogenic value of feeds II. Effects of rumen acid load from feeds on dry matter intake, ruminal pH, fibre degradability and milk production in the lactating dairy cow
Bibliographic record
Abstract
Rustomo, B., AlZahal, O., Cant, J. P., Fan, M. Z., Duffield, T. F., Odongo, N. E. and McBride, B. W. 2006. Acidogenic value of feeds. II. Effects of rumen acid load from feeds on dry matter intake, ruminal pH, fibre degradability and milk production in the lactating dairy cow. Can. J. Anim. Sci. 86: 119‐126. The previous study evaluated the acidogenic value (AV) of a series of feeds. The objective of the current study was to determine the effect of increasing feed AV on dry matter intake (DMI), ruminal pH, fibre degradability and milk production and composition in lactating dairy cows. Two isoenergetic and isonitrogenous concentrate diets with either a low AV (LAV) or high AV (HAV) were formulated and fed along with corn silage and alfalfa silage in a total mixed ration (TMR). The diets were fed for ad libitum intake with as-fed forage to concentrate ratio of 57:43. Four rumen fistulated dairy cows (230 ± 30 DIM) were randomly assigned to one of the two treatments in a crossover design. Increasing feed AV increased (P 0.05) on mean ruminal pH, DMI, and 4% fat corrected milk. These results emphasize the significance of ruminal pH variations and frequency distributions over time when evaluating the effect of feed AV on ruminal pH. The results suggest that feed AV could be used to predict ruminal pH in vivo.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".