Exploring the Effects of Slaughter Weight Class on Belly Quality Attributes of Gilts and Barrows
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Bibliographic record
Abstract
This study examined the impact of slaughter weight class (SWC) on a comprehensive set of pork belly quality attributes for 2110 pigs (1055 barrows and 1055 gilts). Pigs were assigned to 2 live weight classes (weight 1: 114.7 kg; weight 2: 128.1 kg), and key carcass and belly traits were assessed. Weight 2 barrows had the greatest (P < .05) carcass fat percentage (34.2%) and intramuscular fat content (4.1%), while weight 1 gilts had the lowest (29.6% and 3.55%, respectively). The predicted lean meat yield was greater (P < .01) in weight 1 pigs (59.7%) and gilts (60.0%) compared with their counterparts. Belly weight was slightly but significantly higher (P < .05) in weight 2 pigs (18.8 kg) and in barrows (18.7 kg) than in weight 1 pigs (18.5 kg) and gilts (18.6 kg). Bellies from barrows showed higher fat percentage than those from gilts (P < .01). Belly length and width were greater (P < .05) in both weight 2 pigs and gilts. Fat-related components (total fat and side: fat, thickness, seam, subcutaneous) were all greater (P < .01) in weight 2 pigs and barrows. Iodine values were greater (P < .01) in weight 1 pigs and gilts, indicating softer fat. Belly bend angle, a firmness indicator, was greater (P < .01) in weight 2 pigs and barrows. These findings highlight the significant influence of SWC and sex on belly composition and firmness, warranting attention as market weights increase, particularly given the trade-offs between firmness and excessive fat deposition for premium belly markets.
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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 | 0.000 | 0.001 |
| 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) | 0.000 | 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