Dephytinized defatted rice bran in silver catfish (Rhamdia quelen) nutrition
Bibliographic record
Abstract
This survey was conducted for the purpose of evaluating the performance, metabolism, bone mineral deposition and phosphorus excretion in feces of Rhamdia quelen juvenile fed with defatted rice bran which phytic acid was extracted or degraded. The experiments for evaluating the performance and metabolism and fecal collection were conducted in recirculating water system with controlled temperature. The first trial for 60 days, we evaluated the performance of 300 juvenile catfishes (13.36 ± 1.20 g) fed four experimental diets were isonitrogenous and isocaloric, which formed the treatments: CONT - comprised of conventional ingredients; FADE - with 20% defatted rice bran; FADFIT - with 20% defatted rice bran treated with 1500 FTU phytase / kg of bran; FADEX - with 20% defatted rice bran with phytic acid extracted in a randomized design with three replicates per treatment. In the second experiment, the fecal collection was conducted by Guelph system, using 240 silver catfish juveniles (52.15 ± 8.42 g) placed in incubators (200L) with stopcock and falcon tubes at the bottom, lasting 17 days. No significant difference in growth and composition of whole fish, except for body fat was higher in the catfishes fed with FADEX that FADFIT. With respect to metabolism, it was found that CONT diet provides low glycogen stores and that FADE and FADFIT diets caused higher mobilization of these body reserves compared to FADEX. Increased deposition of phosphorus was found in the bones of fishes fed with FADEX. However, dephytinized rice brans did not influence the excretion of this mineral. Under the conditions of this research, we conclude that the degradation or extraction of phytic acid did not affect growth, although modifying the metabolism. The use of dicalcium phosphate, due to the extraction of phytic acid, promoted higher deposition of phosphorus in the bones of the catfishes, but did not influence the mineral excretion via feces.
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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) | 0.000 | 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".