By-product of passion fruit seed (<i>Passiflora edulis</i>) in the diet of commercial laying hens
Bibliographic record
Abstract
This study evaluated the effects of the inclusion of the by-product passion fruit seed (BPFS) in the diet of laying hens on performance, blood variables, quality, and lipid oxidation in eggs. A total of 384 Hy-line W36 layers (32 wk old) were distributed in a completely randomized design, with six treatments (control, 2.5%, 5.0%, 7.5%, 10.0%, and 12.5% inclusion of BPFS), eight replicates and eight birds each. The productive performance was evaluated for three cycles of 28 d each. There was no difference (P > 0.05) in egg production and feed conversion. However, feed intake showed increased linearly (P < 0.05). The egg weight, egg mass, percentage of eggshell, eggshell thickness, and Haugh unit did not differ (P > 0.05); however, the specific gravity of eggs increased (P < 0.05). Total cholesterol and blood triglycerides decreased linearly (P < 0.05). To evaluate the lipid yolk oxidation, a 6 × 5 × 2 factorial design (six levels of BPFS × five storage periods × two temperatures) was used. There was an interaction (P < 0.05) among the levels of BPFS, time, and storage temperature with the lowest oxidation level of 12.5% when eggs were refrigerated. The BPFS can be included at a level up to 5.0% without compromising bird performance and 12.5% for egg quality, and this level reduced yolk lipid oxidation.
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) | 0.000 | 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".