Additional file 1: of QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations

Table S1. The pairwise correlation coefficients between different leaf type traits in ZH RILs across multi-environments. Table S2. The pairwise correlation coefficients between different leaf type traits in GB RILs across multi-environments. Table S3. Correlation coefficients between different environments for leaf type traits in ZH RILs. Table S4. Correlation coefficients between different environments for leaf type traits in GB RILs. Table S5. Description of characteristics of 20 chromosomes in ZH RIL population high-density genetic map. Table S6. Description of characteristics of 20 chromosomes in GB RIL population high-density genetic map. Table S7. Fifty-six QTLs and 48 loci for leaf type traits in ZH RIL population across environments. Table S8. One hundred thirty-four QTLs and 100 loci for leaf type traits in GB RIL population across environments. Table S9. Eleven QTL hotspots associated with leaf type traits detected in ZH RIL population. Table S10. Twenty-three QTL hotspots associated with leaf type traits detected in GB RIL population. Table S11. Gene models on Genome build Glyma 1.1 Chromosome of four important QTL hotspots. Table S12. Gene Ontology (GO) enrichment analysis of four important QTL hotspots. Table S13. Gene models on Genome build Glyma 1.1 Chromosome of specific leaf type traits. Table S14. Gene Ontology (GO) enrichment analysis of specific leaf type traits. Table S15. Information of SoybaseDatabse published leaf type traits associated QTLs. Table S16. Comparisons of the dected QTLs in ZH RIL population between present research and previous stuides. Table S17.Comparisons of the dected QTLs in GB RIL population between present research and previous stuides. Table S18. Four important QTL hotspots contain several published leaf type and yield-related traits QTLs. (XLS 428 kb)