Supplementary data files for: Genomics of iron and zinc concentration, iron Bioavailability, and yield in common bean: multi-locus GWAS, structural equation modelling, candidate gene prioritization and genomic selection.

This submission contains supplementary datasets supporting the genetic and genomic analyses of agronomic, nutritional, and quality traits in a panel of 427 common bean (Phaseolus vulgaris L.) genotypes. Supplementary Table 1 provides Best Linear Unbiased Predictors (BLUPs) and Best Linear Unbiased Estimates (BLUEs) for all evaluated genotypes across the studied traits. Supplementary Table 2 presents results from single-trial analysis of variance (ANOVA) for the measured phenotypes. Supplementary Table 3 summarizes quantitative trait nucleotide (QTN) discovery results, including trait identity, detection method, chromosomal location, marker position, allelic effects, LOD scores, significance probabilities, proportion of phenotypic variance explained, minor allele frequency, and the number of methods supporting each SNP. Supplementary Table 4 contains functional annotation of prioritized candidate genes identified within ±131,550 base pairs of significant SNP markers, including marker support across models, pathway descriptions, and gene ontology terms for cooking time, soaking ability, polyphenols, flavonoids, seed coat darkening, iron, zinc, and yield. Supplementary Table 5 provides genomic prediction performance metrics, including Pearson correlation coefficient (PCC), mean absolute error (MAE), and the combined index for correlation and error (CICE). Collectively, these supplementary files provide detailed phenotypic summaries, association mapping outputs, candidate gene prioritization, and prediction accuracy metrics to support reproducibility and further research.