Carcass Traits, Ovarian Morphology and Egg Laying Characteristics in Early Versus Late Maturing Strains of Commercial Egg-Type Hens
Bibliographic record
Abstract
Three hundred commercial Single Comb While Leghorn (SCWL) pullets of two strains differing in age at first oviposition (early maturing = EARLY; later maturing = LATE) were reared and photostimulated at 18 wk. Selected birds of each strain were killed at weekly intervals from 17 to 23 wk, at sexual maturity, or at 68 wk of age for the study of carcass and reproductive organ traits. Egg production was recorded for surviving hens to 68 wk of age. The two strains differed in age at sexual maturity (EARLY, 137.5 d; LATE, 142.1 d). The EARLY strain birds appeared to allocate a greater proportion of nutrients to reproductive development (oviduct) from 19 to 22 wk of age than did the LATE group, which showed greater breast muscle development during this same period. The LATE strain hens were significantly heavier than the EARLY hens at sexual maturity, and this difference in BW persisted to the end of the laying period. Although total egg production did not differ between strains, the LATE strain hens had a longer prime egg-laying sequence length (LATE, 70.2 d; EARLY, 52.6 d) as well as a longer mean sequence length (LATE, 12.8 d; EARLY, 8.7 d). Egg weight did not differ between strains. These data suggest that LATE lines of egg-type hens offer equivalent production efficiency due to improved rates of lay, albeit starting later.
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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) | 0.000 | 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".