Multi-Carbohydrase Addition Into a Corn-Soybean Meal Diet Containing Wheat and Wheat By Products to Improve Growth Performance and Nutrient Digestibility of Broiler Chickens
Bibliographic record
Abstract
Feed enzymes are used in poultry diets to enhance nutrient availability and thereby improve growth performances of the birds. The objective of the present study was to investigate the effect of dietary Multi-Carbohydrase (MC) supplementation on growth performance, blood metabolites, visceral organ weights, gut morphology, and nutrient digestibility in broiler chickens. A total of 168 one-day-old broiler chicks (47.5 ± 0.20 g) were randomly allocated into one of four dietary treatments in a 2 × 2 factorial arrangement with 6 replications per treatment. Dietary treatments were as follows: (1) positive control (PC; energy sufficient, 3,200 ME, kcal/kg); (2) negative control (NC; energy deficient, 3,100 ME, kcal/kg); (3) PC with MC (MC; Superzyme-CS™; 0.05%); (4) NC with MC. Greater ADG (P = 0.022) was observed with the birds fed MC for the entire period (1–35 d) compared to birds fed a diet without MC. Birds fed the NC diet supplemented with MC showed improved FCR (P = 0.037) compared to birds fed the NC diet during the starter period (1–21 d). MC supplementation increased dry matter (P = 0.029), crude protein (P = 0.015), and energy digestibility (P = 0.015) of the birds compared to those fed a diet without MC on day 21. Moreover, birds fed a diet with MC had increased (P = 0.037) dry matter digestibility on day 35 compared to its counterpart, regardless of dietary energy level. Therefore, our study indicated that MC improved growth performance along with nutrient digestibility in broiler chickens fed corn soybean-meal-based diets containing wheat and wheat by-products from hatch to 35 d of age, regardless of dietary energy level.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".