Early detection of the pregnancy and diagnosis for different characteristics is more important in livestock management and profitability. Although various methods are in practice the specificity and sensitivity are not achievable. Currently, the advance of the molecular technologies, which used for human beings i.e. non-invasive prenatal testing (NIPT) are slowly transforming to the cattle’s in livestock. In Human, NIPT were used for the down syndrome prediction to overcome the physically/mentally disabled child births. Similarly, to improve the cattle breeding on specific characteristics, such as reproductive efficiency, meat quality, diseases resistance and methane production, the quality markers and diagnosis kits are indeed. Such a characteristics combinatorial single test could available by using specific NIPT kits. In our study, we generated metadata using next generation sequencing (NGS) and proposed bioinformatics schema for marker detection in dairy cattle. Totally, 60 samples from ten individuals and five time points (before and after mating) are sequenced for two different molecular stages i.e. DNA and miRNAs. Specifically, from the cell free DNA and circulating micro RNAs from the blood. Overall, we have generated 100 GB of genetic metadata for dairy cattle, to uncover the molecular marker to improve genetic asses breeding. Through this study we proposed effective schema to identify the key marker into NIPT diagnosis kit.
