Heritability of sudden death syndrome and its associated correlations to ascites and body weight in broilers
Bibliographic record
Abstract
(1) Genetic parameters for the sudden death syndrome (SDS) were estimated in meat-type chickens. Data were collected over 11 generations of selection for body weight within two distinct breeds (Cornish and White Rock). (2) The animal model was used exclusively with linear methods (LM) to estimate genetic parameters. Heritability (h2) of SDS on the liability scale was 0.30 +/- 0.002 and 0.25 +/- 0.002 in the Cornish and White Rock breeds, respectively. (3) A positive genetic correlation (r(g)) with ascites (AS) was determined (approximately 0.3 +/- 0.006). However, it was not possible to estimate the rg of SDS with body weight because of the low prevalence of the defect trait studied (1.8% in the Cornish and 1-5% in the White Rock). (4) Heritability of SDS calculated using male records only was 0.45 +/- 0.009 and 0.35 +/- 0.009, and r(g) with body weight was 0.30 +/- 0.010 and 0.27 +/- 0.009, in the Cornish and White Rock breeds, respectively. (5) In conclusion, the heart defect investigated was heritable with a positive genetic correlation with AS and body weight.
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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 | 0.001 | 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".