Evaluation of the growth performance and carcass characteristics of lambs produced in Quebec
Bibliographic record
Abstract
Data for a total of approximately 1100 lambs tested in 12 trials from 1992 to 1995 in commercial lamb test stations in Quebec were used to determine the effect of sex, sire breed and genetic type on growth performance and carcass characteristics. Lambs were housed two to a pen and fed commercial diets. Maximum test length was 112 d. Lambs were slaughtered when their liveweight was approximately 47 ± 5 kg for the males and 43 ± 4 kg for the females. Feed intake and growth rate were measured during the test, and carcass measurements were taken at slaughter and at 24 h following slaughter. Feed intake was the average for the pen, while the growth and carcass measurements were taken individually. Males ate more per day, had better gain and were younger at slaughter than females. Females had more body fat and better carcass conformation scores than males. However, males did not have a greater loin muscle thickness compared to females. Lambs sired by Hampshire or Suffolk rams had superior growth performance and leaner carcasses than lambs sired by Dorset rams. However, Hampshire and Suffolk-sired lambs did not have a greater loin muscle thickness compared to Dorset-sired lambs. Analysis of different genetic types did not demonstrate a pronounced effect on lamb performance. No specific genetic composition was clearly superior to the others for the various variables studied. Genetic quality within a breed of sheep bought or kept for reproduction is as important as the choice of breed or the combination of breeds. Key words: Lamb, growth performance, carcass composition
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".