Estimation of heritability and genetic correlations of body weight in different age for three strains of Japanese quail
Bibliographic record
Abstract
In this study genetic parameters of body weight were estimated for three commercial strains of Japanese quail (White, Canadian wild & Brown). Live body weight at 14, 28 and 42 days of age on approximately 900 quail of both sexes from 55 each of sires and dams in each strain were utilized to estimate genetic parameters. The chicks hatched of each sire and dam identified by the same color, and at 10 days of age they were wing-tagged with an aluminum plate. The first weighing was done at 14 days and repeated at 28 and 42 days of age. Analysis was carried out with the records on 900 quails in three strains. Data were analyzed using restricted maximum likelihood (REML) with relationship matrix. The moderate to high heritability for most study traits suggested that selection to increase or decrease these traits will be successful. The genetic correlations of body weight (BW) at different ages, measurements were positive and tended to be moderate to high. These results showed that selection for weight at early ages will have a positive effect on weight at later ages.
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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 | 0.001 | 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".