Meat Quality of Goats Fed Hay, Sorghum Bagasse and Standard Diets
Bibliographic record
Abstract
A study was conducted to determine effects of feeding hay (HAY), sorghum bagasse (SOB) and standard Virginia State University diet for small ruminants (STA) on the physiochemical and fatty acid profile of goat meat. Sixteen Myotonic (Tennessee Stiff Leg) male goats with body weight (BW) of 21.6±3.0 kg were divided into three groups and subjected to one of three dietary treatments for 76 days. At the end of the feeding trial, the animals were harvested and the Longissimus thoracis et lumborum (LTL) muscle samples analyzed to evaluate meat quality. There was no difference (P > 0.05) in initial pH (pH0) measured at 45 min post-harvest and ultimate pH (pHu) measured at 72 h postmortem. HAY and SOB diets did not affect (P > 0.05) water binding capacity (WBC), instrumental meat color (L* (lightness), a* (redness), b* (yellowness), C* (Chroma), and H* (Hue Angle), and tenderness, as measured by Warner-Bratzler shear force (WBSF). Chemical composition and fatty acid profile were also not influenced by the treatments (P > 0.05). The findings of this study support the use of HAY and SOB as supplemental diet during times of feed shortages without impacting major meat quality characteristics in goats.
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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 | 0.000 | 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".