259 Effects of Enterococcus faecium on growth performance, blood parameters, relative organ weight, breast muscle meat quality, excreta microbial shedding, and noxious gas emission in broilers
Bibliographic record
Abstract
This 5-wk study was to determine the effects of Enterococcus faecium (DSM 7134) on growth performance, blood parameters, relative organ weights, breast muscle meat quality, excreta microbial shedding, and noxious gas emission in broilers. A total of 816 1-d-old broilers were allocated to 4 groups with 12 replications (17 broilers/pen) according to BW (43.2 ± 0.32 g). Dietary treatment groups were 1) basal diet (CON), 2) CON + 0.05% E. faecium (T1), 3) CON + 0.10% E. faecium (T2), and 4) CON + 0.20% E. faecium (T3). On d 1, 21, and 35, BW and feed intake were determined. Digestibility, blood parameters, relative organ weight, and breast muscle meat quality were determined at 35 d of age. Excreta shedding of Lactobacillus and Escherichia coli and noxious gas emission were determined on d 7 and 35. Orthogonal comparison was conducted using polynomial regression to measure the linear and quadratic effects of increasing dietary supplementation of E. faecium with P < 0.05 indicating significance. From d 21 to 35 and overall, dietary E. faecium supplementation linearly increased (P < 0.05) BW gain and G:F, but from d 1 to 21, there was a linear increase (P = 0.046) in only G:F. On d 35, dietary E. faecium supplementation linearly increased (P < 0.001 and P = 0.048, respectively) the digestibility of DM and N and the relative weight of bursa of fabricius (P = 0.041), but no differences were observed in breast muscle meat quality, white blood cells, red blood cells, or lymphocyte counts. Dietary E. faecium supplementation linearly decreased (P < 0.0001 and P = 0.003, respectively) excreta E. coli counts on d 7 and 35, whereas excreta lactobacilli counts were linearly increased on d 35 (P < 0.001). On d 35, dietary E. faecium supplementation linearly decreased (P = 0.002, P = 0.001, and P = 0.013, respectively) excreta NH3, H2S, and total mercaptans emission, but only H2S emission was decreased (P < 0.001) on d 7. In conclusion, supplementation with E. faecium improved growth performance, the digestibility of DM and N, and the relative weight of bursa of fabricius, shifted excreta microbiota by increasing Lactobacillus and decreasing E. coli counts, and reduced excreta NH3, H2S, and total mercaptans gas emission.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".