Enhancing the Nutritional Value of Canola (Brassica napus) Meal Using a Submerged Fungal Incubation Process
Bibliographic record
Abstract
The aim of this study was to determine the optimal fungal culture to increase the nutritional value of canola meal so it could be used at higher feed inclusion rates, and for a broad range of monogastrics, including fish. Submerged incubation conditions were used to evaluate the performance of seven fungal cultures in hexane extracted (HE) and cold pressed (CP) canola meal. Aureobasidium pullulans (Y-2311-1), Fusarium venenatum and Trichoderma reesei resulted in the greatest improvements in protein levels in HE canola meal, at 21.0, 23.8, and 34.8 %, respectively. These fungi reduced total glucosinolates (GLS) content to 2.7, 7.4, and 4.9 μM.g-1, respectively, while residual sugar levels ranged from 0.8 to 1.6 % (w/w). In trials with CP canola meal, the same three fungi increased protein levels by 24.6, 35.2, and 37.3 %, and final GLS levels to 6.5, 4.0, and 4.7 μM.g-1, respectively. Additionally, residual sugar levels were reduced to 0.3-1.0 % (w/w).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".