Nutrient digestibility and availability of mealworms (<i>Tenebrio molitor</i>), poultry by-product meal, and poultry viscera in female mink (<i>Neogale vison</i>) diets: insights on the nitrogen-to-protein conversion factor
Bibliographic record
Abstract
This study measured the digestibility of crude protein, crude fat, and dry matter in three protein sources: poultry by-product meal (PBPM), poultry viscera, and crushed mealworms using diatomaceous earth as an indicator. A control diet was made, and test diets were mixed in a 70:30 control diet:test ingredient ratio. Forty-four female mink housed in individual cages were fed experimental diets for 5 days, and fecal samples were collected and analyzed for nutrient residues compared to the diet composition to determine digestible nutrient levels. Mealworms had a greater dry matter digestibility ( P < 0.01; 96.26%) than poultry viscera (77.29%) and PBPM (86.76%). PBPM had a lower fat digestibility ( P < 0.01; 84.64%) than mealworms (94.78%) and poultry viscera (98.15%). There was no significant difference among treatments for protein digestibility. Using a standard nitrogen-to-protein conversion factor of 6.25, the crude protein content of the mealworms was 51.74%, although with an apparent digestibility coefficient of 0.77, this ingredient had an available crude protein composition of 39.70 ± 2.95. A nitrogen-to-protein conversion factor of 4.80 would be more accurate than 6.25 when using mealworms as a feed ingredient for monogastric animals.
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".