Explore innovative ways of connecting genotype to phenotype by utilizing a holistic approach of combining DNA, RNA and metabolites, and big-data analytics; understand genetic architecture of traits with emphasis on key traits for hybrid development; develop R-packages, R-scripts and Shinny apps for applied plant breeding data analysis; work on data sharing policies and integrate version control (Git/GitHub) to systematically store and share scripts and datasets of the UNL small grains breeding program; and communicate with public bioinformatics/breeding databases for timely deposition of experimental data from the UNL wheat breeding program.