Performance, Carcass Percentage, and Production Cost for Awassi Lambs Fed High Energy Diet for Short Fattening Period
Bibliographic record
Abstract
An experiment was conducted to indicate the effect of feeding high energy diet for 45 days on male and female Awassi lambs’ performance, carcass percentage, and cost of production. A total of twenty four Awassi lambs (12 males, and 12 females) averaging 18.2±0.70 kg body weight were used. Lambs were assigned randomly to two different groups (groups A and B); each group had twelve lambs (6 males and 6 females) and fed two different diets (low energy diet and high energy diet). Feed intake, total gain, average daily gain and feed conversion ratio was calculated and body measurements (height and length) were recorded. Lambs were slaughtered at the end of experiment, to evaluate carcass percentage. Cost of production was calculated based on ingredients’ price at the time of the experiment. Final body weight, weight gain, and average daily gain were greater (p < 0.05); while feed conversion ratio was lower (p < 0.05) for lambs fed high energy diet than lambs fed low energy diet. Body length differences measured to be greater (p < 0.05) for male lambs fed high energy diet than other lambs. Fasted weight, hot carcass weight, and dressing percentage were higher (p < 0.05) for lambs fed the high energy diet. Cost of gain was lower (p < 0.05) for lambs in group B compared to lambs in group A. Therefore, the economical efficiency in this experiment was greater for lambs fed high energy diet than lambs fed the control diet during 45 days fattening period.
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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".