Effects of fermented corn gluten meal on growth performance, serum parameters, intestinal morphology, and immunity performance of three-yellow broilers
Bibliographic record
Abstract
A study was conducted to determine the effects of a diet containing solid-state fermented corn gluten meal (FCGM) with Bacillus natto and Lactobacillus on the growth performance, serum parameters, immune indices, and intestinal morphology of three-yellow broilers. A total of 450 one-d-old three-yellow male broilers were randomly allocated into three dietary treatment groups: control (without FCGM), T1, and T2 [5% and 10% replacement with corn gluten meal (CGM) and FCGM, respectively]. Ten replications per treatment and 15 birds per repeat were utilized. The results showed that the FCGM had a lower neutral detergent fiber content and higher small peptide content than the CGM. The average daily gain values, globulin content, the thymus and spleen indices of three-yellow broilers fed 5% and 10% FCGM were significantly higher (P < 0.05) than those of the control group, and the three-yellow broilers that were fed 10% FCGM increased more than those that were fed 5% FCGM (P < 0.05). The villus lengths and the ratios of the villus height to crypt depth (V:C) of the duodenum of three-yellow broilers fed 5% and 10% FCGM were significantly higher than those of the control group (P < 0.05). From this study, it can be concluded that the productivity performances of three-yellow broilers fed with 5% FCGM and 10% FCGM increased, and with the additive level increase in the diet, increases of the productivity performance were observed.
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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 | 0.000 | 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".