Melanocortin 4 receptor polymorphism is associated with carcass fat in beef cattle
Bibliographic record
Abstract
McLean, K. L. and Schmutz, S. M. 2011. Melanocortin 4 receptor polymorphism is associated with carcass fat in beef cattle. Can. J. Anim. Sci. 91: 75–79. Melanocortin 4 receptor (MC4R) binds α-melanocyte stimulating hormone (α-MSH) reducing feed and energy intake in several species of animals. One variant in swine has been reported to increase daily gain, backfat deposition and feed intake. MC4R sequence was obtained from 20 random crossbred steers where a novel Ser330Asn polymorphism was detected. Three hundred and eighty-two crossbred Canadian steers and 985 crossbred American steers were genotyped for this polymorphism. The Ser330Asn polymorphism had a minor allele frequency of 0.01 in the Canadian and 0.02 in the American steer populations. The Canadian steers with the heterozygous genotype had increased grade fat (P=0.036) and decreased lean meat yield (P=0.032). The American heterozygous steers had increased backfat (P=0.031) and less desirable yield grades (P=0.022), but also lower longissimus dorsi measurements (P=0.031). The association of the Asn330 allele was validated in two typical crossbred steer populations in two countries, suggesting it has effects of commercial significance.
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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 | 0.001 |
| 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".