Net energy of dry extruded expelled soybean meal for growing pigs determined by indirect calorimetry and validation of net energy system using a typical Western Canadian grower finisher diet
Bibliographic record
Abstract
The objectives of this research were to determine the net energy (NE) of dry extruded expelled soybean meal (DESBM) using an indirect calorimetry (IC) in growing pigs, to determine the effect of multi-enzyme supplementation on the NE content of DESBM fed to growing pigs and to validate the NE system for feed formulation. In Exp 1, the values obtained with the IC method were consistently greater than those obtained with prediction equations. The discrepancy between the determination technique used was about 1% when diets were formulated with a constant protein content or corn:soybean meal ratio (1.0% and 0.7%, respectively), however, this was 4.1% when diet was formulated with simple substitution technique. Thus the NE value of DESBM was evaluated to be 2,548 kcal/kg DM when diets were formulated on a constant ratio between the other energy yielding components. In Exp 2, addition of enzyme increased the NE value of both the diet and the test ingredient; DESBM. Supplementation with multi-enzyme complex (Superzyme-OM, Canadian Bio-System Inc., Calgary, Canada) at 0.05% and 0.1% of the diet improved NE values of DESBM by 4.9 % and 3.7%, respectively. In Exp 3, the results indicate a better growth performance (ADG and G:F) when diets were formulated on NE basis compared to the DE system of diet formulation. Moreover addition of enzyme improved the performance for the NE system of diet formulation
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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) | 0.000 | 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 | 0.000 |
| 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".