Prolactin gene polymorphism and its associations with milk production traits in Frieswal cow
Bibliographic record
Abstract
In the present study, polymorphism of PRL gene at exon-3 and its association with milk production traits in Frieswal cattle was investigated. Prolactin ( PRL ) gene exert multiple effects on the mammary gland include mammogenesis, lactogenesis and galactopoiesis. In order to evaluate the PRL gene polymorphism, we used the restriction fragment length polymorphism (RFLP) method. Blood samples were collected from randomly chosen 54 Frieswal lactating cows. Genomic DNA was extracted from venous blood by the method of John et al (1991) with slight modification and amplified by polymerase chain reaction technique. The PRL gene of the Frieswal cattle was amplified to produce a 156 bp fragment. The PCR products were electrophoresed on 2% agarose gel and stained by ethidium bromide. Then they were digested of amplicons with Rsa I, which revealed two alleles A and B. Data were analyzed using Pop Gene Popgene 32 software package and association was analyzed by simple analysis of variance model. In this population, AA, AB, and BB genotypes were identified with 0.315, 0.629 and 0.056 frequencies, respectively. Allele frequencies of A and B were 0.630 and 0.370, respectively. The significant (P<0.05) chi-square value in Frieswal cattle breeds showed that the studied population was not in Hardy-Weinberg equilibrium. It is concluded from the results of present study that the animals of BB genotype for higher lactation length and AB genotype for lactation yield and animals of AA genotype for minimum service period may be selected for future breeding.
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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".