Digestibility energy and amino acids of canola meal from two species (Brassica juncea and Brassica napus) fed to distal ileum cannulated grower pigs1
Bibliographic record
Abstract
Yellow-seeded Brassica juncea is a novel canola species targeted to grow in the southern Canadian prairies where thermotolerance, disease resistance, and adaptation to dry agronomic conditions are required. The support of its cultivation needs nutritional evaluation of its coproduct. The B. juncea canola meal (CM) contains less fiber than conventional, dark-seeded Brassica napus CM but also slightly less Lys. In a 6 × 6 Latin square, 6 distal ileum cannulated pigs (47 kg BW) were fed 6 diets to determine the apparent ileal digestibility (AID) and standardized ileal digestibility (SID) of CP and AA, AID and apparent total tract digestibility (ATTD) of energy, and VFA content in digesta and feces. Pigs were fed 6 diets: basal [46% wheat (Triticum aestivum) and corn (Zea mays) starch], 4 diets with 46% wheat and either B. juncea or B. napus CM at 25 or 50%, and a N-free diet based on corn starch. The B. juncea CM had higher (P < 0.05) ATTD of energy than B. napus CM (68.6 vs. 60.3%) likely due to its lower fiber content. Ileal total VFA was lower (P < 0.001) in pigs fed B. juncea than B. napus CM diets. In pigs fed B. juncea CM, the molar ratio in digesta was lower (P < 0.001) for acetate and butyrate whereas the propionate ratio was lower (P < 0.001) in feces than in pigs fed B. napus CM diets. The CM species did not affect the AID of energy, SID of AA, and feces VFA content. The DE value was higher (P < 0.05) and content of SID Lys was lower (P < 0.05) for B. juncea than B. napus CM. In conclusion, availability of B. juncea CM, a coproduct of a canola species grown in Canadian prairie land, will increase flexibility in swine feed 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".