PSVI-19 Abundance of some cecal bacteria in Lohmann LSL lite pullets and hens fed omega-3 fatty acids and yeast bioactives in low or high spacing allowance
Bibliographic record
Abstract
Abstract Nutritional optimizations and rearing environment that meets welfare standards are prerequisite in the performance and health of laying hens. Rearing practices influence gastrointestinal development, microbiota, and immune function. However, little is known on the implications of rearing spacing allowance (SA) and feed ingredients on intestinal microbiota. We determined the abundance of selected cecal bacteria in pullets and hens in response to rearing SA and dietary omega-3 fatty acids (N-3 FA) and yeast bioactive (YB) from placement to 17 wk of age (woa). One-day old chicks (n = 2,632) were placed in cages in 2 SA of 24 cages each: High SA (HSA, 348 cm2/bird; ~50 birds/cage) and Low SA (LSA, 284 cm2/bird; ~68 birds/cage). Birds were fed corn and soybean-based diets (C), C + 3% co-extruded full fat flaxseed and pulse mixture (N-3 FA) and C + 0.05% YB processed with β-1,3-glucan hydrolase (YB). Birds were allocated to diets within SA according to 2 x 3 factorial design (n = 8 cage/treatment) and fed ad libitum. At 4 and 16 woa, 1 and 2 pullets/treatment respectively, were necropsied for ceca digesta from each cage and independently analyzed. At 18 woa, hens were placed in enriched cages based on rearing treatment identities in egg production facility and fed a commercial diet. At 35 woa, 18 hens per treatment were necropsied for ceca digesta samples and analyzed independently. Samples were analyzed for viable bacterial counts for E. coli, Enterococcus and Lactobacillus. Statistical analysis was performed by general linear mixed model procedures of SAS with diets, SA, sampling age and associated interactions as fixed factors, difference with P < 0.05 was considered significant. Comparison of log-transformed means (CFU/g) showed that diets and SA had no significant effect on cecal E. coli counts at 4, 8 and 35 woa (P > 0.05; Table 1). However, at 16 woa the least E. coli counts was found in LSA (P < 0.0001), with N-3-FA-fed and YB-fed pullets having fewer numbers (P = 0.007) than control-fed pullets. There was no interaction effects between diet and density for E. coli in all sampling wk (P >0.05). No significant effect of SA or diets were observed at any sampling week for Enterococcus counts, except LSA had a tendency at 8 woa (P = 0.078). At 8 woa, the cecal Lactobacillus counts (P = 0.009) were less in LSA relative to HSA pullets. In conclusion, feeding of N3-FA or YB during rearing influenced cecal microbiota. Supplementation of YB seemed to promote growth of beneficial Lactobacillus, which is associated with strengthened immunity.
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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 | 0.001 |
| 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".