Associations between prolactin receptor (<i>PRLR</i>) polymorphisms and milk production traits in dairy buffalo
Bibliographic record
Abstract
Buffalo milk is economically important, and an understanding of the genetic basis of milk production traits may facilitate buffalo breeding for this purpose. In this study, polymerase chain reaction-single strand conformation polymorphism was used to analyze polymorphisms in prolactin receptor (PRLR) exons 3, 5, 7, and 10 in Murrah, Nili-Ravi, and crossbred buffaloes and Holstein cows. A site in PRLR exon 3 exhibited variation in all three buffalo breeds and cows, and the three genotypes GG, GT, and TT were detected. In PRLR exon 5, nucleotide differences were detected between buffalo and Holstein dairy cow populations; the genotypes AA, AG, and GG were observed. In PRLR exon 7, polymorphisms were not detected. In PRLR exon 10, at 9637 bp, the TT, TC, and TT genotypes were observed. At the three polymorphic loci, Hardy–Weinberg equilibrium was reached in the crossbred buffalo population for exons 3 and 5 and in all three buffalo populations for exon 10. In an analysis of the associations of the three polymorphisms with milk production traits, only PRLR exon 10 in Murrah buffaloes was associated with milk yield, with a significant difference between the TT and CC genotypes.
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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 | 0.000 | 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".