Performance and Carcass Characteristics of Growing Rabbits Fed Diets Containing Different Fibrous Ingredients
Bibliographic record
Abstract
An experiment was conducted to assess the performance and carcass characteristics of growing rabbits fed different fibre sources in a completely randomised design. Totally 30 rabbits of mixed sexes at the age of 8 weeks (56 days) were randomly allocated to five dietary groups averaging 500.00±27.26. The fibre sources are: wheat offals, rice bran, palm kernel cake, maize bran and brewer dried grain. Data were collected on the feed intake and weight gain while carcass characteristics was evaluated at week 12 of the experiment. Results revealed significant (p<0.05) differences in the values obtained for weight gain and feed conversion ratio (FCR). Average weight gain ranged from 10.95 to 16.70g/day, while FCR ranged from 4.38 to 6.85. Feed cost per weight gain ranged from ?379.79 to ?636.98, while the saving/kg gain ranged from ?-14.28 to ?224.9. Among the cut parts and organs examined, hind limb, back, neck, lungs and heart were significantly (p<0.05) influenced by dietary treatment. The results suggest that rabbits have the capacity to utilize fibrous feed effectively, but can perform better on maize offal and brewers dried grains.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".