The raw data for "Genomic Selection to Improve Husk Tightness Based on Genomic Molecular Markers in Maize"

Over a period of two years, an association panel of maize inbred lines was cultivated across three sites, divided into four subgroups. To predict HTI, marker data from three sequencing platforms - Genotyping by sequencing (GBS), RNA sequencing (RNA-seq), and chips (50 K) - were utilized through six statistical models: ridge regression best linear unbiased prediction (RRBLUP), BayesA, BayesB, BayesC, Bayesian LASSO, and Bayesian ridge regression.