Growth performance and nutrient digestibilities in nursery pigs receiving varying doses of xylanase and β-glucanase blend in pelleted wheat- and barley-based diets
Bibliographic record
Abstract
In 2 experiments, dose response efficacy of a xylanase and β-glucanase blend (XB) on growth performance and ileal nutrient digestibility was investigated in nursery pigs fed pelleted wheat (Triticum aestivum)- and barley (Hordeum vulgare)-based diets. A basal diet (meeting NRC [1998] specifications for 6 to 30 kg BW, except for 5% lower DE) was supplemented with XB to give 4 diets (0, 50, 100, and 200 g/t). The xylanase and β-glucanase blend was formulated to contain guaranteed activity of 12,200 and 1520 units/g, respectively. In Exp.1, 192 nursery pigs (initial BW of 6.5 kg) were randomly assigned to 4 diets to give 12 pens (4 pigs/pen) per diet to study growth performance for 42 d. In Exp. 2, apparent ileal digestibility (AID) of energy and AA was evaluated in 4 individually housed ileal-cannulated barrows (21 kg BW) according to a 4 × 4 Latin square design. In Exp. 1, XB linearly and quadratically increased (P < 0.05) G:F compared with control. Adding 200 g/t increased overall G:F by 20% compared with control. In Exp. 2, XB linearly increased (P < 0.05) AID of DM, CP, energy, and AA. In conclusion, supplemental xylanase and β-glucanase in nursery pelleted wheat- and barley-based diets deficient in DE increased energy and nutrient use, resulting in better G:F. In conclusion, an enzyme product containing a combination of xylanase and β-glucanase allowed young pigs to derive more nutrients and energy in a wheat- and barley-based diet deficient in 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".