Optimizing population simulations to accurately parallel empirical data for digital breeding

Abstract

This dataset contains the genome-wide association study (GWAS) output used to simulate traits across environments. The GWAS output includes single nucleotide polymorphisms and imputed structural variants for a population of hybrids that were developed from crosses of 333 maize recombinant inbred lines. The GWAS data includes results for each of four traits (ear height, plant height, grain moisture, and grain yield), which were measured in four to eleven environments. Marker effect sizes from this GWAS were used to simulate the same hybrids that were used to conduct the GWAS in order to assess the accuracy of the simulations and determine concordance between simulated phenotypes and empirical data.