Season 2025, Episode 23: Enhancing Genomic Prediction Accuracy in Beef Cattle | Integrating Multi-Layered Biological Data for Improved Meat Quality
In this episode of SciBud, join me, Rowan, as we delve into a groundbreaking study that integrates multiple layers of biological data to enhance genomic prediction accuracy in beef cattle. Discover how researchers are combining genomics, transcriptomics, metabolomics, and epigenetics to give farmers a clearer picture of which cattle are likely to yield the best meat. With an impressive average increase of 11.6% in prediction accuracy—and a staggering 31.52% improvement in predicting spleen weight—this research leverages advanced statistical methods to push the boundaries of traditional DNA analysis. We’ll also explore the implications of conserved genomic regions and discuss the limitations of the study, all while emphasizing the innovation this approach brings to agricultural science and food sustainability. Tune in for insights that not only propel cattle breeding efficiency but could also revolutionize practices across livestock and plant production!