PSIII-41 Effects of dietary net energy concentration on growth performance and energy intake of weaned pigs.
Bibliographic record
Abstract
The ability of young pigs to adjust feed intake in response to increasing dietary energy concentrations has been known to be limited due to their limited physical gut capacity. However, inconsistent results regarding the response of weaned pigs to increasing dietary NE concentrations have been reported. Therefore, the current study was conducted to determine the effect of dietary NE concentrations on growth performance and energy intake of weaned pigs. Sixty barrows (initial BW 8.40 ± 0.91 kg) were randomly allotted to 1 of 5 dietary treatments with 12 replicates per treatment and fed for 3 weeks. A control diet containing 10.3 NE MJ/kg was formulated to meet the energy requirement of 7 to 11 kg weanling pigs (NRC, 2012). Two additional diets containing 0.4 MJ NE/kg less or greater than the control diet (10.3 NE MJ/kg) were prepared by replacing corn starch with vegetable oil in the control diet (i.e., 9.9 and 10.7 MJ NE/kg). Dietary NE concentrations of another two additional diets were also formulated to contain 0.4 MJ NE/kg less or greater than the control diet by replacing the feed ingredients of plant origin in the control diet. Dietary NE concentrations of these two diets were primarily controlled by dietary fibre content. Results indicated that increasing dietary NE concentrations had no effects (P > 0.10) on ADFI, ADG, and G:F of weaned pigs when it was adjusted by either dietary fat or fibre content. Also, the NE intake of pigs was not affected by increasing dietary NE concentrations during week 1. However, during week 2 to 3, NE intake of pigs increased (linear, P < 0.01) with increasing dietary NE concentrations adjusted by either dietary fat or fibre content. In conclusion, weaned pigs may not have the ability to adjust feed intake in response to dietary NE concentration.
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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) | 0.000 | 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) | 0.002 | 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".