Effects of stored whole rice bran treated with organic acids on the performance, nutrient digestibility, intestinal mucosa morphometry, and bone characteristics of broiler chickens
Bibliographic record
Abstract
This study evaluated the effects of feeding whole rice bran (WRB) stored for different times and treated with a mixture of organic acids on the growth performance, nutrient digestibility, duodenal morphometry, and bone characteristics of broiler chickens. Three hundred and twenty 1-d-old Cobb broilers were used in a 21 d experiment with a completely randomized design. Whole rice bran with five storage times (0, 30, 60, 90, and 120 d) was included at a 12% level in the diets, with eight replicates of eight birds each. A polynomial regression with a significance level of 5% was used. A reduction in daily weight gain was observed in birds fed WRB stored up to 90 d. A quadratic response was observed in the daily feed intake and average body weight of birds fed diets containing WRB treated with a mixture of organic acids and stored up to 90 d. There was a linear increase in the digestibility of crude protein with increased WRB storage time. Apparent metabolizable energy and apparent metabolizable energy corrected for nitrogen showed an increasing quadratic response for up to 60 d of WRB storage and treated with a mixture of organic acids. A quadratic response for the morphometry of intestinal crypts was found. The crypt depth increased as the birds were fed a diet containing WRB treated with a mixture of organic acids, stored up to 30 d and decreased with storage times. In conclusion, WRB treated with a mixture of acetic and propionic acids and stored up to 60 d may be safely added to broiler chicken diets.
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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 | 0.000 |
| 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".