515 Late-Breaking: Effects of Dietary Phytase with or without Multi-carbohydrase Supplementation on Growth Performance, Nutrient Digestibility, and Bone Traits in Nursery Pigs
Bibliographic record
Abstract
Abstract The aim was to determine the effects of supplementing increasing doses of phytase (PHY) alone or in combination with multi-carbohydrase (MC) blend to a P-deficient diet for nursery pigs on growth performance, nutrient digestibility, and metacarpal bone characteristics. A total of 192 weaned pigs (7.7 ± 0.05 kg BW) were allotted to 1 of 8 dietary treatments each with 8 replicates in a randomised complete block design based on initial body weight. Diets consisted of a P-deficient negative control (NC), NC + 250 FTU/kg (TRT1), NC + 500 FTU/kg (TRT2), NC + 1,000 FTU/kg (TRT3), NC + 0.2g/kg MC (TRT4), TRT4 + 250 FTU/kg (TRT5), TRT4 + 500 FTU/kg (TRT6), and TRT4 + 1,000 FTU/kg (TRT7). Fecal samples (d 18, 19, and 20) and metacarpal bones (d21) were collected to determine apparent total tract digestibility (ATTD) of energy and nutrients and bone mineralization, respectively. Data were analyzed using the MIXED procedure of SAS with orthogonal polynomial contrast statements with a pen as an experimental unit for growth performance and digestibility and 1 pig per pen for bone traits. During week 2, MC supplementation tended to increase (P = 0.05) body weight whereas by week 3, increasing doses of PHY linearly (P < 0.05) increased average daily gain (ADG). Overall, PHY supplementation had a quadratic effect (P < 0.05) increasing ADG. However, there was an interaction (P < 0.05) whereby PHY and MC in combination acted synergistically to increase percentage of ash and P ATTD. Phytase had linear (P < 0.05) and quadratic (P < 0.05) by increasing fat-free dry weight, ash content, and P in metacarpal bone. In conclusion, increasing levels of PHY quadratically improved growth performance, nutrient digestibility, and bone traits of pigs fed a P-deficient diet.
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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) | 0.000 | 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 | 0.001 | 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".