Effects of dietary dried fermented ginger on growth performance, carcass quality, and intestinal histology of heat-stressed broilers
Bibliographic record
Abstract
Khonyoung, D., Yamauchi, K., Buwjoom, T., Maneewan, B. and Thongwittaya, N. 2012. Effects of dietary dried fermented ginger on growth performance, carcass quality, and intestinal histology of heat- stressed broilers. Can. J. Anim. Sci. 92: 307–317. To investigate the effects of a dried fermented ginger product (DFG) on growth performance, carcass quality, and intestinal histology of heat-stressed broiler, at 7 d of age, 200 male broilers were divided into 0% (control), 0.25% (0.25 S+F), 0.5% (0.5 S+F) and 1% (1 S+F) dietary DFG groups fed from 7 to 49 d of age (starter+finisher groups, S+F). Another group of chicks was fed the basal diet until 21 d of age. At 22 d of age, 150 birds from this group showing almost similar body weight were divided into 0.25% (0.25 F), 0.5% (0.5 F) and 1% (1 F) dietary DFG groups fed from 22 to 49 d of age (finisher groups, F); the control group was common for the S+F and F groups. The average temperature was around 31°C (23.2–38.6°C) throughout the trial. Compared with the control, the experimental DFG groups were not different in feed intake, body weight gain, feed efficiency and carcass quality. However, abdominal fat of the 1 S+F, 0.5 F, and 1 F groups decreased (P<0.05). Cell mitosis numbers in the duodenum tended to increase in the 1 S+F group (P<0.1). Epithelial cells on the jejunal villus apical surface of the control were mainly flat, and desquamations were observed. Desquamation was reduced with increasing DFG, and in the 1% DFG groups, many protuberant cells and cell clusters were present. The present results suggest that under high ambient temperature 1% dietary DFG from 7 to 49 d of age can decrease abdominal fat, and that jejunal villus apex was desquamated with heat stress, but desquamations were reduced with increasing DFG, and disappeared in 1% DFG groups.
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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) | 0.001 | 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 | 0.001 |
| 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".