Effects of high-protein concentrates with different rumen undegradable-to-degradable protein ratios on performance and carcass traits in 26-month-slaughtered Hanwoo steers
Bibliographic record
Abstract
OBJECTIVE: This study investigated the effects of high-protein concentrates with two different rumen undegradable protein (RUP)-to-degradable protein ratios on the performance and carcass characteristics of Hanwoo steers reared for 26 months. METHODS: Thirty-two Hanwoo steers (217±13 kg) were randomly allocated to eight pens (four animals/pen) and assigned to one of two concentrate treatments (four pens/treatment), low-RUP concentrate (LRUP; RUP ratio of 37:63) or high-RUP concentrate (HRUP; RUP ratio of 47:53), with a dietary crude protein (CP) content of 20% dry matter (DM) during the growing stage (8 to 17 months) and 18% DM during the fattening stage (18 to 26 months). RESULTS: Increasing the RUP ratio in the concentrate reduced (p = 0.062) rumen ammonia (NH3-N) levels during the growing stage. A decrease (p<0.05) in the molar proportions of acetate and valerate, and an increase (p = 0.097) in the proportions of iso-valerate, was observed in the HRUP group. Significant improvements (p<0.05) in the average daily gain and the feed conversion ratio were observed in the HRUP group during the fattening stage. Although there were no significant group differences in carcass yield or characteristics in steers slaughtered at 26 months, a trend (p = 0.081) toward an increased rib-eye area was observed in the HRUP group. Relative mRNA expression profiling revealed higher lipid biosynthesis and lipolysis in the HRUP group at slaughter. However, no effects on intramuscular fat content was detected. CONCLUSION: Raising the RUP level improved performance and intramuscular fat metabolism in Hanwoo steers. The final body weight of the steers in the HRUP group was comparable to that of Hanwoo steers raised under the conventional 30-month fattening period. Overall, feeding a high-CP concentrate with a higher RUP proportion (47% CP) may be a beneficial strategy to shorten the feeding period.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".