Comparison of Egg Quality Characteristics of Different Poultry Species
Bibliographic record
Abstract
This study was conducted to compare external and internal quality attributes and some functional property parameters of eggs from five different poultry types/species namely, Sri Lankan village chicken & commercial chicken (Shaver brown), duck (Vigoa), quail (Japanese quail) and turkey (Turkey white). In addition, the impacts of cold storage (10 ºC), on commercial chicken eggs and Sri Lankan village chicken eggs, over a period of three weeks were evaluated. Yolk color, shape index, egg weigh and shell thickness values of the freshly laid eggs were significantly difference among the four species (P < 0.05). Yolk color of the village chicken egg was 7.30 which is significantly higher (P < 0.05) than that of other species. Quail egg had the highest (P < 0.05) shape index value (80.90±0.01) and the lowest egg weight (9.47±5.64 g). Whereas, turkey egg had the lowest (P < 0.05) shape index value (69.20±0.02) and the highest egg weight (71.48±5.21 g). Village chicken eggs and quail eggs had significantly lower (P < 0.05) eggshell thickness than that of other poultry species. The lowest eggshell thickness (0.008±0.00 mm) was shown by quail eggs. Duck egg white had the highest (P < 0.05) viscosity and foam stability whereas, commercial egg had the lowest viscosity. Further, internal quality and functional quality traits from Sri Lankan village chicken eggs and Shaver brown eggs were decreased with the increasing storage period (3 weeks) at 10 ºC. Quail egg has the highest shape index and duck egg white has the highest viscosity and foam stability. Some of the egg quality traits are significantly affected by type/species of the bird and the storage time.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".