Effects of in ovo injection of carbohydrates, β-hydroxy-β-methylbutyrate, and vitamins on ostrich organ weight, bone characteristics, and small intestinal morphology
Bibliographic record
Abstract
A total of 144 ostrich eggs (24 per group) were injected with 4 mL of physiological saline solution [positive control (PC)], carbohydrates (CHO — 20% maltose, 2.5% sucrose, and 2.5% dextrin), β-hydroxy-β-methylbutyrate (HMB), vitamin B6 solution, and vitamin D3 (vit D3) solution at 38 d of incubation. Injection of 4 mL physiological saline decreased the hatchability compared with negative control (NC) group (not injected eggs) (68.5% vs. 71.7%; P < 0.05). There was also lower hatchability and more number of embryonic deaths before piping in vitamin-injected group (72.2%). Heart, gizzard, pancreas, spleen and thymus, ileum, cecum, and rectum relative weight were not significantly different among treatments at hatch (P > 0.05). Carbohydrates group had higher duodenum and jejunum relative weight, whereas NC and PC groups had the least duodenum, jejunum relative weight (P < 0.05). Vit D3 injection increased bone strength, fresh and dry bone relative weight (P < 0.01). Chicks from HMB and CHO group had the highest levels of glycogen in the livers, whereas PC, NC, and vit D3 exhibited very low levels of glycogen in their liver (P = 0.014). Vitamins in ovo injected groups had the least duodenum villus height and also vit D3 group had the least jejunum villus height (P < 0.01). In conclusion, the use of CHO for the in ovo injection of ostrich hatching eggs would be practical in industry due to improvement in hatchability, bone characteristics, small intestine villus height and capacity, and also liver glycogen sources.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".