Performance of Rabbits Fed Diets Containing Different Levels of Energy and Lesser Galangal (Alpinia Officinarum)
Bibliographic record
Abstract
This work aimed to study the effect of two different levels of ration energy supplemented with Alpinia officinarum. Rabbits were classified into six equal groups (G1-G6). The 1st and 4th groups received basal ration with 100 % and 90 % energy requirement and served as first and second control respectively. The 2nd and the 3rd groups received basal ration with 100 % energy requirement supplemented with Alpinia officinarum at the level of 0.5 and 1.0 %, respectively. The 5th and 6th groups received basal ration with 90 % energy requirement with Alpinia officinarum at the level of 0.5 and 1.0 %, respectively. The 90% energy containing diet showed significant increased (P<0.05) in DM and CF digestibility, while EE digestibility was significantly (P<0.05) decreased. Lesser galangal as feed additives showed significant (P<0.05) increased in DM, OM, CF, NFE digestibility and TDN value. There were significant interaction values between energy and supplementation levels on digestibility coefficient of DM, OM, CF, EE, NFE and TDN value. Supplementation of Lesser galangal at 0.5 % or 1% significantly increased final body weight gain, ADG, feed conversion, while slightly decreased feed intake. The 90% energy and 1% lesser galangal (G6) recorded the best values of final body weight, body daily weight gain and feed conversion. The interaction values between energy and lesser galangal levels significantly increased (P<0.05) the carcass weight, dressing percentages and carcass cuts. The 90% energy and 1% lesser galangal (G6) recorded the best values of carcass weight, dressing percentages and carcass cuts. Lesser galangal significantly (P<0.05) decreased the lungs (weight and % of SW); content of stomach and empty of small intestine (weight and % of SW). The interaction values between energy and lesser galangal levels significantly (P<0.05) increased the liver and total internal offal's (% of SW); lungs, full and content of stomach as well as digestive tract content (weight, g and % of SW). Dietary 90% energy requirements with 0.5 % or 1% lesser galangal showed the high values of net revenue, economical efficiency and relative economic efficiency, while recorded the low value of feed cost/ kg live body weight (LE). Rabbits received the 90 % energy requirement with 0.5 % lesser galangal recorded the highest value of relative economic efficiency (111.4%) and the lowest value of feed cost/ kg live body weight (5.45 LE).
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".