Effects of monensin only, monensin and virginiamycin combination, or monensin and a blend of organic trace minerals and yeast on meat quality of crossbred bulls finished in feedlot individual pens and fed with high-grain diets
Why this work is in the frame
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Bibliographic record
Abstract
This study assessed carcass characteristics and meat quality of bulls finished in individual pens and fed with different diets. A completely randomized design determined how to feed 24 crossbred bulls (European × Nellore) with four diets over 84 days: CONT) without additives; MONE) inclusion of 30 mg of monensin/kg DM; MO + VI) inclusion of 30 mg of monensin + 30 mg of virginiamycin/kg DM; and MO+AD) inclusion of 30 mg of monensin/kg DM + 1.57 g of a blend of organic trace minerals, live yeast, beta-glucan, and mannans per kg DM (Advantage-Confinamento). MO+VI resulted in lower pH (P < 0.05) and lighter meat (P < 0.05) compared with other treatments. Cooking loss was less (P < 0.05) with MO+AD at 14 days of aging time. At 14 days, Warner-Bratzler shear force was higher for meat from bulls fed with CONT and MONE diets and slower (P < 0.05) for meat from bulls fed with MO+VI and MO+AD diets. In conclusion, including monensin combined with virginiamycin and monensin combined with a blend of organic trace minerals and yeast in the diets of bulls finished in individual pens can improve the color, Warner-Bratzler shear force of meat, and lower cooking losses.
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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 | 0.002 |
| 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 it