Carcass cut-out value and eating quality of longissimus muscle from serially harvested savannah-raised Brahman-influenced cattle and water buffaloes in Venezuela
Bibliographic record
Abstract
Males (n = 132) of riverine water buffalo (Buffalo) and Brahman-influenced cattle (Brahman) were reared alike and serially harvested at four different ages (7, 17, 19 and 24 months) to compare cutting yield (%), eating quality and consumer acceptability of cube-roll steaks at 19 and 24 months of age (MOA), and to examine post-weaning castration effects. Brahman bulls outperformed Brahman steers and Buffalo male classes in the proportion of chuck-roll, medium-value and total valuable cuts (P < 0.05). At all harvest ages, Buffalo carcasses yielded higher (P < 0.05) percentages of trimmed fat, which resulted in a sustained decline of the proportion of total lean, edible cuts. Buffalo meat had a lower shear-force value and a higher proportion of tender steaks than did Brahman at 7 and 24 MOA (P < 0.05). Whereas trained panellists detected differences in sensorial attributes only at 7 months [when Buffalo steaks were rated as more tender and flavourful (P < 0.05) than Brahman steaks], consumer acceptability ratings for Buffalo meat trended to be higher when harvested at 19 and 24 MOA (P < 0.1). The increasing proportion of boneless lean cuts with age gives Brahman a clear, commercial advantage over Buffalo; however, Buffalo produces meat as juicy and flavourful as that of Brahman and exhibits superior eating quality if harvested at 7 or 24 MOA.
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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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".