Effect of Tween 80 and salinomycin on ruminal fermentation and nutrient digestion in steers fed a diet containing 70% barley
Bibliographic record
Abstract
Ten Jersey steers (484 ± 55 kg) were fed a basal diet of 70% rolled barley grain and 30% alfalfa silage [dry matter (DM) basis] with or without additives, in a replicated 5 × 5 Latin square experiment. Treatments (additives per kilogram dietary DM) were: C, no additives (control); T, Tween 80 (2 g kg−1); SH, salinomycin (13 mg kg−1); TSM, Tween 80 (2 g kg−1) plus salinomycin (6.5 mg kg−1); and TSL, Tween 80 (2 g kg−1) plus salinomycin (3.25 mg kg−1). Ruminal pH, concentrations of ammonia, total free amino acids, reducing sugars and total volatile fatty acids (VFA), and fluid phase viscosity were unaffected (P > 0.05) by treatment. Ruminal carboxymethylcellulase, xylanase and amylase activities, numbers of protozoa, and outflow rates of the liquid and solid phases of ruminal contents did not differ (P > 0.05) among treatments. Ruminal lactic acid bacteria populations tended (P < 0.1) to be smaller with SH compared with C, but counts were unaffected (P > 0.05) by T, TSL and TSM. Partitioning of ruminal digesta and microbial protein flow were similar (P > 0.05) among treatments. Compared with C, the ruminal rate of degradation (in situ) of alfalfa DM tended to be higher (P < 0.10) with SH, and the rate of barley grain DM degradation was higher (P < 0.05) with T. Intake and apparent digestibilities of DM, neutral detergent fibre (NDF), acid detergent fibre (ADF) and crude protein were unaffected (P > 0.05) by treatment, as were blood glucose and urea levels. Tween 80 and salinomycin did not affect ruminal fermentation or nutrient digestibility in steers fed a barley grain/alfalfa silage diet. Key words: Tween 80, salinomycin, ruminal fermentation, digestibility, steer
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".