ENAGenomicsAgricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Scienceshttps://www.ebi.ac.uk/ena/browser/view/PRJNA1026661The field of genetic research and breeding has made significant strides in accurately capturing genetic variation at a genomic scale. Technologies such as SNP arrays and whole-genome sequencing have played a crucial role in understanding the complex relationship between genotype and phenotype. However, challenges related to cost and coverage have limited the widespread application of these technologies. In our study, we address these challenges by presenting a comprehensive approach for biological breeding. We introduce FarmImpute, a two-round genotype imputation method that effectively improves imputation accuracy and facilitates genome-wide selection breeding. By leveraging FarmImpute, we can overcome the limitations of cost and coverage, making genomic data more accessible and affordable for large-scale breeding programs.xref:EuropePMC:PMC12021046ENAfalseA novel imputation framework for ultra-low coverage whole-genome sequencing2024-05-112024-05-11PRJNA1026661