Laying performance of six pure lines of chickens and four commercial hybrids at the Agassiz Research Centre
Bibliographic record
Abstract
The Agassiz Research Centre keeps six pure lines of high-producing but non-commercial layers. Egg production, body weight, feed consumption and efficiency, and several characteristics of the eggs were measured to 60 wk of age and compared with those of four commercial white- and brown-egg hybrids. Egg production from 20 to 60 wk was highest for the four commercial hybrids, with no difference between them, and was 6 to 11% lower for the pure line white-egg layers, and 7 to 13% lower for the pure line brown-egg layers. The pure line and hybrid white-egg layers had similar body weights, but the pure line brown-egg layers weighed more than the commercial brown-egg hybrid. Feed efficiency was similar for the four hybrids and was generally better for the hybrids than the pure lines, based largely on higher egg production rather than increased feed consumption. The difference between industrial hybrids and the pure lines studied can be attributed to the selection that has been applied as well as to heterosis. Key words: Chicken, genetic resources, Agassiz layer lines
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".