The effect of phytic acid removal on the acceptability of canola and rapeseed feedstuffs as partial and complete replacements for fish meal in salmonid diets
Bibliographic record
Abstract
Two experiments were conducted with juvenile rainbow trout (Oncorhynchus mykiss) (< 5g) in ambient well water, to investigate the influence of phytic acid removal on the feeding value of rapeseed and canola protein feedstuffs used as substitutes for fish meal and other animal protein in the diets. The first investigation examined whether phytic acid removal by commercial pretreatment of rapeseed protein concentrate (RPC) with microbial phytase, with /without essential amino acid supplementation or cation-anion balancing to mimic the chemical profile of a control diet based on fish meal (which provided 59% of the dietary protein), could improve the nutritional value of RPC for trout sufficiently to allow it to replace all of the fish meal without compromising performance. Results indicated that commercial dephytinization significantly enhanced the nutritional value of RPC to the extent that, with the addition of FINNSTIM™ (1.5 % DMB; palatability enhancer), it could replace all of the fish meal without compromising performance. Essential amino acid supplementation and cation-anion balancing provided no additional nutritional benefit. The second investigation, examined whether commercial dephytinization or dephytinization by oral administration of a low dose (1,000 PU/ g dry diet) or high dose (4,000 PU/g dry diet) of microbial phytase to diets in which fish meal provided 70% of the protein and canola meal (CM) provided 20%, or animal protein-free diets in which RPC provided 95% of the protein, could enhance the nutritional value of the diets for trout. Also, the effect of fibre reduction of CM with or without the addition of a high dose of phytase was examined. Findings indicated that in diets containing 1.5% FINNSTIM™ , commercial dephytinization as well as direct application of either dose of phytase significantly improved the nutritional value of CM for trout. By contrast, direct application of either dose of phytase did not improve the nutritional value of RPC for trout. Although commercial dephytinization did improve RPC nutritional value, the enhancement was not sufficient to make the diets nutritionally equal to the control fish meal diet. Fibre reduction with or without direct phytase addition did not nutritionally improve the CM diets to levels comparable to the control diets.
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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 | 0.001 |
| 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 | 0.001 |
| 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".