PSII-10 Ammonium Phosphate is an Appropriate Nitrogen Source in Nitrogen-Limiting Diets for Growing Pigs
Bibliographic record
Abstract
Abstract The use of low protein (LP) diets is common in swine production, but there is potential for reduced dietary N for the endogenous synthesis of non-essential amino acids (NEAA), impacting overall animal growth. It has been previously demonstrated that inclusion of non-protein nitrogen (NPN) in a diet with an increased essential amino acid-nitrogen:total nitrogen (EAA-N:TN) ratio (i.e. limiting in total N) reduced the Lys requirement and maximum NR in growing pigs. The objective of this study was to determine the impact of NPN inclusion and Lys content on growth performance of growing pigs. A total of 240 growing pigs (120 gilts and 120 barrows) with an initial body weight (BW) of 20.2 ± 2.18 kg were housed in groups of 5 pigs/pen. Pens were randomly assigned to 1 of 6 dietary treatments over 3 blocks (n = 8 pens/treatment) in a 2 × 3 factorial design, with factors of NPN inclusion (no ammonium phosphate [NAP] or ammonium phosphate inclusion at 1.7% [AP]) and dietary lysine (Lys; 1.03%, 1.15% or 1.27% standardized ileal digestible). The AP and NAP diets were formulated to have an EAA-N:TN ratio of 0.48 and 0.54, respectively. All diets were corn and soybean meal-based and formulated to meet or exceed NRC (2012) nutrient requirements. The experimental period was 28 d, with individual BW and per pen feed intake determined weekly. On d 28, backfat and lean depth were measured on 2 pigs per pen, one male and one female. Data were analyzed using a mixed model with fixed effects of N content, Lys, and their interactions, and block as a random effect. Backfat and lean depth analysis included sex as a fixed effect. Inclusion of NPN reduced feed intake and increased gain:feed compared with pigs fed NAP diets (P < 0.05). Overall ADG and d 28 BW increased with increasing Lys, but were not impacted by dietary NPN content (P > 0.05). Pigs fed AP diets had increased lean depth (P < 0.05) and reduced backfat. Overall, NPN, as ammonium phosphate, can improve feed efficiency and increase lean depth while maintaining similar ADG and final BW.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".