Performance of laying hens fed wheat, wheat-barley or wheat-barley-wheat bran based diets supplemented with xylanase
Bibliographic record
Abstract
Two experiments were conducted to study the response of laying hens to a commercial enzyme preparation (Safizyme XP20) containing 70 000 IU g-1 xylanase. In the first experiment, 270 laying hens (ISA Brown), aged 28 wk, were fed basal diets of wheat (W), wheat-barley (WB) or wheat-barley and wheat bran (WBB) without xylanase, or supplemented with 1400 IU xylanase kg-1 in 3 × 2 factorial arrangement. In the second experiment, 180 ISA Brown laying hens, aged 28 wk, were assigned to 2 × 2 factorial arrangement and fed wheat-based diets containing 2753 or 2653 kcal metabolizable energy (ME) kg-1 without xylanase, or supplemented with 1400 IU xylanase kg-1. Egg production (% hen-day), egg weight, egg mass, feed conversion ratio and changes in body weight were recorded for 12 wk. The effects of xylanase on true metabolizable energy (TME) values of wheat, barley and wheat bran were determined using roosters. Layers fed W-, WB- or WBB-based diets had similar egg mass. The feed conversion ratio of layers fed the WBB-based diet was better (P ≤ 0.05) than that of the other groups. Xylanase improved (P ≤ 0.05) egg mass of layers fed W- or WB-based diets, but it did not affect the performance of hens fed the WBB-based diet. Low dietary ME significantly (P ≤ 0.05) reduced the performance of laying hens. Xylanase supplementation improved (P ≤ 0.05) egg production, egg mass and feed conversion ratio of layers fed the low energy diet. It did improve the feed conversion ratio of layers fed the high-energy diet. Addition of 1400 IU xylanase kg-1 to the low-energy diet was equivalent to an increase of at least 100 kcal ME kg-1. Xylanase increased (P ≤ 0.05) the TME values by 5.2 and 2.44% for wheat and barley, respectively, and did not affect the TME value of wheat bran. Key words: Xylanase, hens, laying, wheat, barley, wheat bran, metabolizable energy.
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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".