Effect of a microencapsulated complex of biofactors and antioxidants on the growth performance, plasma biochemistry, intestinal health, and immune and antioxidant status of broiler chickens challenged with cold stress
Bibliographic record
Abstract
The study examined the effects of a microencapsulated complex of biofactors and antioxidants (P(BF + AOx)) on growth and health status of broiler chickens challenged with cold stress. Day-old broilers were allotted to four treatments in a 2 × 2 factorial design with two dietary treatments: (1) Control (CON; corn–wheat–soybean-based) and (2) CON + 0.015% P(BF + AOx), and two thermal treatments: (1) Thermoneutral (TN; 29 °C ± 1 on days 8–10, 54 h) and (2) Cold stress (CS; 20 °C on days 8–10, 54 h). Treatments were allocated to six replicates, with eight chicks/replicate. Growth performance was measured weekly from days 0–21. On day 14, two birds/cage were euthanized. Cold stress reduced ( P < 0.05) total antioxidant capacity (TAC), serum IgM, jejunal villus height (VH), villus width (VW), and VH:crypt depth (VH:CD). Irrespective of CS, P(BF + AOx) improved ( P < 0.05) feed intake (631 vs. 592 g/bird), body weight (BW) (383 vs. 349 g/bird), BW gain (337 vs. 301 g/bird) up to day 14, and plasma TAC. Regardless of the challenge model, P(BF + AOx) increased ( P < 0.05) duodenal VW, VH:CD, jejunal, and ileal VH:CD, and the relative abundance of cecal Intestinimonas and Colidextribacteria, compared to the CON. In conclusion, CS altered broiler blood parameters and gut morphology, but 0.015% P(BF + AOx) improved early life growth performance, TAC, and gut health, irrespective of CS, suggesting that it could be an effective strategy to support overall health and performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".