Evaluating Broiler Growth and Mortality in Chicks with Minor Navel Conditions at Hatching
Bibliographic record
Abstract
As commercial hatcheries become more automated, there are fewer opportunities for chicks with minor unhealed navel conditions to be identified and removed before being shipped to farms. An experiment was undertaken to evaluate the effect of common navel conditions occurring at hatching on subsequent broiler performance. In each of 2 trials, chicks with normal navels and minor navel conditions (navel button or leaky navel) were collected from a commercial hatchery on the day of hatch. Chicks were feather sexed and placed in floor pens. Individual BW and mortality were recorded weekly until shipping at 41 d of age. As expected, male broilers had heavier BW at 41 d than females. Broilers with navel buttons and leaky navels had lower 41-d BW than those that had normal navels at hatching. Birds with navel buttons also had higher mortality over the entire production period than birds with leaky or normal navels. The results of this research clearly show that when chicks have even minor navel conditions at hatching, the end result is a reduction in broiler production efficiency.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".