Genotypic-phenotypic dat for GWAS analysis

This constitutes a dense and exhaustive coverage of the soybean genome using a dual genotyping approach combining both GBS and WGS for a core set of 137 Canadian soybean lines with their root system architecture (RSA)-related traits data. The entire panel was characterized via 56K GBS-derived SNPs. A Canadian soybean reference panel (102 lines, of which 56 were also present in the association panel) of 4.3M WGS-derived SNPs was used to perform imputation of untyped loci in the first catalogue. This led to a final catalogue of 2.18M SNPs (MAF ≥ 0.05) for a mean density of 1 SNP every 435 bp across the soybean genome.Automatic Root Image Analysis (ARIA) software was used to extract phenotypic data (after 10 days of growth) from the images. In total, 12 different RSA-related traits were measured from each 2D image for each soybean line including : including: total length of roots (TLR), length of primary root (LPR), length of secondary roots (LSR), distribution of total root length (DTLR), total number of roots (TNR), median number of roots (Med), maximum number of roots (Max), depth of root system (DRS), width of root system (WRS), surface of root system (SRS), diameter of primary root (DR), surface area of primary root (SAR).