224 Diet nutrient digestibility and growth performance of weaned pigs fed canola meal samples varying in nutritive quality
Bibliographic record
Abstract
Canola meal (CM) is a supplemental protein feedstuff for swine, but its nutritive quality varies more than SBM. The implications of variation in CM quality on diet nutrient digestibility and growth performance of weaned pigs are unclear. Thus, 240 pigs (BW, 9.6 kg; 4 pigs/pen) were weaned at 19 d of age and were fed a 20% SBM diet or 4 diets containing 20% CM solvent-extracted from common dark-seeded Brassica napus starting 2 wk postweaning for 4 wk (d 1–28). The 4 CM samples were sourced from 4 crushing plants in Western Canada and contained (DM-basis) 39.7–46.2% CP, 3.4–4.1% ether extract, 17.5–21.4% ADF, and 1.2–8.0 µmoles/g total glucosinolates. Pelleted wheat-based diets were formulated to provide 2.3 Mcal NE/kg and 5.1 g standard ileal digestible (SID) Lys/Mcal NE. Inclusion of CM instead of SBM reduced (P < 0.001) diet apparent total tract digestibility (ATTD) of DM by 3.7%-units, of GE by 3.6%-units, and of CP by 4.0%-units. The DE value of CM diets was similar to, but their predicted NE value was 0.02 Mcal/kg greater (P = 0.027) than that of the SBM diet. Among the 4 CM diets, ATTD of DM, GE, and CP did not differ. Growth performance of pigs fed the 4 CM diets did not differ from pigs fed SBM except for greater (P < 0.05) G:F for d 1–7 and for the entire trial. Among the 4 CM diets, ADFI (973–1047 g/d) and ADG (650–686 g/d) differed (P < 0.05) for the entire trial. However, G:F did not differ among the 4 CM diets for the entire trial. In conclusion, inclusion of 20% CM from 4 crushing plants to replace SBM did not reduce feed intake, weight gain, or feed efficiency in weaned pigs indicating that variation in nutritive quality among the 4 Brassica napus CM samples did not affect growth performance of young pigs.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".