The effect of twenty-eight-hour ahemeral day lengths on carcass and reproductive characteristics of broiler breeder hens late in lay
Bibliographic record
Abstract
The effect of increasing the day length from 24 to 28 h on the reproductive and carcass characteristics of old broiler breeder hens was examined. A total of 128 birds aged 47 wk of age from three different strains; Classic, Experimental (EXP), and Feather Sexable Yield (FSY) were used. Selection was based on target BW and egg production rates; birds were housed in light-tight environment chamber facilities. Birds were feed restricted, and feed was allocated according to actual weekly BW relative to target BW. At 55 wk of age 125 broiler breeders were killed and dissected, and carcass and reproductive traits were examined. Overall, ahemeral day length negatively affected carcass and reproductive parameters. No significant differences were found for BW, yolk, albumen and shell weights, normal and atretic ovarian follicles, and breast, fat pad, and liver weights. Significantly lower production rates, higher amounts of defective eggs, lower oviduct and ovary weights, lower F1 follicle weight, poorer eggshell quality, and higher egg weights were found. Subsequently, broiler breeder hens increased egg weight at the expense of egg production when subjected to an ahemeral day length. It is not recommended that day length be increased this late in production because it results in reduced egg productivity.
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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 | 0.000 | 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".