Association of NCOA6 Gene Polymorphism with Milk Production Traits in Chinese Holstein Cows
Bibliographic record
Abstract
Nuclear receptor coactivator 6 is a gene that produces a protein that regulates transcriptional activity. It is also involved in many processes like cell survival, metabolism, homeostasis, and embryonic development. This study focused on studying the genetic influence of single-nucleotide polymorphisms (SNPs) within the NCOA6 gene on lactation performance characteristics. The objective of this study was to determine the genetic impact of SNPs of the NCOA6 gene on milk production traits. After the random selection of twenty cows, PCR amplification and sequencing were performed from their blood samples to find the SNPs present in the bovine NCOA6 gene. As a result, two SNPs, g.71544C > T and g.87310A > G, were found. Then, the genotyping of the cows (n = 985) was conducted using a Sequenom MassARRAY based on previously identified SNP information. The least-square method was applied to study the links between lactation traits, somatic cell score (SSC), and 305-day milk output. The results indicated that the SNP g.87310A > G was strongly associated with g.71544C > T in linkage disequilibrium. The single-nucleotide polymorphism g.87310A > G showed a very strong association with daily milk yield and 305-day milk production. Individuals with the AA genotype exhibited a notable increase in daily milk production by 1.64 kg, and their 305-day milk yield was approximately 500 kg higher. This variation demonstrated a significant genetic effect on milk output. In brief, the pleiotropic influence of the cattle NCOA6 gene on lactation traits was revealed in this study. However, additional research will provide a basis for further exploring the underlying correlation and theoretical framework of the molecular genetics of milk composition and the production attributes of Holstein cows.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".