357 Evaluation of growth performance and physiology of nursery pigs fed deoxynivalenol (DON) contaminated feed supplemented with commercial feed additives (CFA)
Bibliographic record
Abstract
Abstract Four commercial feed additives (CFA) were evaluated for efficacy in detoxifying deoxynivalenol (DON) in diets fed to 144 nursery pigs (BW 9.80+/- 0.5kg; 2 gilts, and 2 barrows/pen). Six test corn-soybean-meal based diets were: 1) positive control (PC), formulated with clean corn (NC), 2) formulated with contaminated corn (5.5 ppm DON), 3) NC with enzyme+binder1 (NCB1), 4) NC with clay (NCC), 5) NC with enzyme+binder2 (NCB2) and 6) NC with sodium metabisulfite (NCP). Diets were allocated to pens (n = 6) based on BW and fed ad-libitum for 4-wk; BW and feed intake were monitored weekly. At the end of wk-1, one pig/pen was euthanized for tissue collection. Assayed DON concentration for PC, NC, NCB1, NCC, NCB2 and NCP were 0.38, 2.3, 2.3, 2.3, 2.4, and 1.9 ppm, respectively. Diet effects were only observed for ADG and G:F in wk-1; pigs fed NCP had higher (P = 0.01) ADG compared to pigs fed NC and NCC, whilst pigs fed other diets had intermediate and similar ADG (P > 0.05) to pigs fed NC or NCC. Pigs fed NCP showed higher (P = 0.02) G:F relative to pigs fed other diets. The final BW was 31.3, 30.8, 30.4, 30.8, 31.1 and 32.2kg for PC, NC, NCB1, NCC, NCB2 and NCP-fed pigs, respectively. There were no (P > 0.05) diet effects on ADFI throughout the study. There was no (P > 0.05) diet effects on liver and spleen weight, jejunum morphology and concentration of plasma creatinine and urea. Ceca digesta concentration of citric acid was higher (P = 0.03) in pigs fed NCP than pigs fed NCB2. In conclusion, the lack of differences between PC and NC suggested pigs were tolerant to higher DON levels than the regulated dietary maximum of 1 ppm. Improved ADG and G:F due to NCP vs. NC was transient and was not linked to physiological responses.
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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".