Mango pulp meal in diets for Nile tilapia (Oreochromis niloticus): Digestibility, Growth performance, Biochemical analysis, Digestive enzyme activity, hematological variables
Bibliographic record
Abstract
ABSTRACT The objective of this study was to evaluate the potential of mango pulp meal (MPM) as an ingredient for extruded diets for Nile tilapia juveniles. In the first trial, the digestibility of energy, dry matter, crude protein, and amino acids was determined, using 80 juveniles (average weight 25.00 ± 0.50 g), fed with a reference diet and a test diet containing the proportion of 70% of the reference diet and 30% of the MPM. Chromium oxide (Cr2O6) was used as an digestibility indicator and feces were collected using the Adapted Guelph System. The second assay assessed the growth performance; biochemical analysis; digestive enzyme activity; hematological variables for 300 juveniles fish (average weight 26.66 ± 0.17 g), fed for 45 days with balanced diets containing 0 (control), 40, 80, 120, and 160 g of MPM per kg-1. The dry matter, crude protein, and crude energy apparent digestibility coefficients of MPM were 39.26, 50.18, and 44.5%, respectively. The growth performance of the animals was negatively impacted by the MPM, however the hematological parameters and plasma concentrations of albumin, total proteins and cholesterol were not altered. However, the increase on hepatic glycogen reserves, glycemia, and alanine aminotransferase plasmatic enzyme activity demonstrated that MPM diet inclusion promoted oxidative metabolism conditions that could cause hepatocellular damage and affect fish health, if fed for long periods or at higher levels of MPM than analyzed in this study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".