Complete replacement of soybean meal with defatted black soldier fly larvae meal in Shaver White hens feeding program (28–43 wks of age): impact on egg production, egg quality, organ weight, and apparent retention of components
Bibliographic record
Abstract
as an indigestible marker, and were prepared in pellet form. Birds had free access to feed and water throughout the experiment. Hen-day egg production (HDEP) was monitored daily. Feed intake (FI) and body weight (BW) were monitored in 4-wk intervals. All eggs laid on the sixth day of wks 31, 35, 39, and 43 were used for egg weight (EW), Haugh units (HU), yolk color (YC), shell breaking strength (SBS), and shell thickness (ST). Excreta samples were collected for 3 consecutive days on wk 33 for AR and two birds/cage were necropsied at the end. There were no (P > 0.05) diet effects on HDEP, FI, and HU. Inclusion of BSFLM linearly decreased (P < 0.05) egg mass and feed conversion ratio (FCR) and quadratically increased (P < 0.05) BW. There was no (P > 0.05) interaction between diet and sampling time point on egg quality parameters. Inclusion of BSFLM increased SBF and YC linearly (P < 0.05) and ST quadratically (P = 0.028). Inclusion of BSFLM quadratically (P ≤ 0.01) reduced empty ceca weight and increased liver weight and had no effect (P > 0.05) on gizzard, small intestine, and pancreas weights. Feeding BSFLM linearly (P = 0.001) and quadratically (P = 0.007) increased apparent metabolizable energy (AME). Data showed that defatted BSFLM resulted in deeper orange yolks and improved eggshell quality; however, unfavorable FCR linked to lighter eggs as well as heavier birds and liver warrants further investigations.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".