Genetic Diversity and Population Structure of Soybean Lines Adapted to Sub-Saharan Africa Using Single Nucleotide Polymorphism (SNP) Markers

Soybean productivity in sub-Saharan Africa (SSA) is less than half of the global average yield. To plug gap, further improvement grain yield must be attained by enhancing genetic potential new cultivars that depends on diversity parents. Hence, our aim was to assess and population structure elite soybean genotypes, mainly released advanced selections SSA. In this study, a set 165 lines genotyped with high-throughput single nucleotide polymorphism (SNP) markers covering complete genome soybean. The (0.414) high considering bi-allelic nature SNP markers. polymorphic information content (PIC) varied from 0.079 0.375, an 0.324 about 49% had PIC value above 0.350. Cluster analysis grouped all genotypes into three major clusters. model-based STRUCTURE discriminant principal components (DAPC) exhibited consistency allocation subpopulations or groups. Nonetheless, they presented some discrepancy identified presence six five groups, respectively. Principal coordinate revealed more subgroups suggested DAPC analysis. Our results clearly broad base TGx (Tropical Glycine max) breeders may select parents for crossing, testing selection future desirable traits