376 Effects of slaughter age on growth and carcass traits of grazing Nellore young bulls.
Bibliographic record
Abstract
Abstract The study evaluated the growth performance during growing and finishing phases and carcass traits of Nellore bulls slaughtered at 20 vs. 30 mo of age. At weaning (day 0), 80 Nellore bulls (age = 8 mo of age) were blocked by body weight (BW = 245 ± 10.7 kg) and were randomly allocated into 1 of 16 brachiaria pastures (5 bulls and 1.0 ha/pasture). Treatments were randomly assigned to pastures (8 pastures/treatment) and consisted of high supplementation (1.0% of BW daily during growing, day 0 to 235, and then 1.5% of BW daily during finishing, day 236 to 334; HIGH) or low supplementation (0.1% of BW daily during growing, day 0 to 535, and then 0.3% of BW daily during finishing, day 536 to 667; LOW). Bulls assigned to HIGH and LOW supplementation were slaughtered at 20 and 30 mo of age, respectively. Data was analyzed using the MIXED procedures of SAS (SAS Institute Inc., Cary, NC, USA, version 9.4). Body weight at slaughter did not differ (P = 0.65) between treatmens, but carcass traits were affected (P < 0.01). Average daily gain was greater (P < 0.01) for HIGH vs. LOW bulls. Hot carcass weight and dressing were greater (P < 0.01) for HIGH vs. LOW bulls (316 kg vs. 293 kg and 56.1% vs. 52.4%, respectively). Renal-pelvic-inguinal fat was greater (P < 0.01) for HIGH vs. LOW (0.94% vs. 0.39% of BW). Cold carcass weight was greater (P < 0.01) for HIGH vs. LOW bulls (314 kg vs. 293 kg). Carcass average daily gain was greater (P < 0.01) for HIGH vs. LOW bulls. Longissimus muscle area and rump fat thickness at slaughter were greater (P < 0.01) for HIGH vs. LOW (97.7 cm² vs. 74.5 cm² and 7.29 mm vs. 4.48 mm). Meat lipid and backfat thickness were greater (P < 0.01) for HIGH bulls. Meat shear force was lower (P = 0.03) for HIGH vs. LOW bulls (31.2 N vs. 35.2 N). Therefore, high supplementation during growing and finishing phases shortened the cycle, producing younger animals at slaughter with greater carcass traits. Despite the similar BW at slaughter, low supplementation did not enchance carcass traits compared to high supplementation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".