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.