Bambara groundnut is one of the crops with inadequate molecular research to show its full potentials. Previous studies showed morphological diversity with inadequate information to confirm genetic variations. In the quest to reveal the genetic potentials, deoxyribonucleic acid (DNA) of the selected accessions was extracted through leaf samples at 3 weeks old, using Dellaporta Miniprep for Plant DNA Isolation procedure. The high quality DNA was sequenced using Diversity Arrays Technology (DArT) markers to unlock diversity among Bambara groundnut of Nigerian origin. Cluster analysis (neighbor-joining clustering) of the single nucleotide polymorphisms (SNP’s) were used to generate sub-population to show relatedness and differences. Seven sub-populations were generated with 5927 (50.13%) high quality DArT markers out of the 11,821 SNPs generated. This revealed high genetic diversity existed among the selected Bambara groundnut accessions in Nigeria. This also revealed that DArT markers were highly efficient in classifying the accessions based on molecular expressions. This study also identified markers responsible for genetic variation that could facilitate the characterization of larger collections for further utilization of genetic resources and most importantly Bambara groundnut for the purpose of crop improvement.

Background: Bambara groundnut accessions over the years had been unstable in its yield potentials with contrasting yield inferences, factors not limited to variety, soil types and nutrients, climate change, time had been bottlenecks for scientist to breakthrough in stability research. Field experiments were conducted in three years at two locations to assess and identify accessions with stable yield and determine the relationship between yield and yield components. Methods: Seeds of 100 accessions of Bambara groundnut of Nigerian origin were obtained from the genebank of the Genetic Resources Center, IITA in 2017. Randomized complete block design (RCBD) was used in the evaluation for three years in two locations. PROC ANOVA procedure on the statistical analytical system (SAS, 9.4) was used to determine significant differences and stability equation was used to identify yield stable index. Result: Correlation showed that seven yield contributing traits had positive and significant correlation with yield per hectare. Yield stability analysis indicated nine of the selected accessions were stable in the expression of its yield potentials in the environments and years. This study showed that selection for high yielding and stable accessions could be useful for further utilization of genetic resources in achieving food security.

Bambara groundnut is one of the crops with inadequate molecular research to show its full potentials. Previous studies showed morphological diversity with inadequate information to confirm genetic variations. In the quest to reveal the genetic potentials, deoxyribonucleic acid (DNA) of the selected accessions were extracted through leaf samples at 3 weeks old, using Dellaporta Miniprep for Plant DNA Isolation procedure. The high quality DNA was sequenced using Diversity Arrays Technology (DArT) markers to unlock diversity among Bambara groundnut of Nigerian origin. Cluster analysis (neighbor-joining clustering) of the single nucleotide polymorphisms (SNP’s) were used to generate sub-population to show relatedness and differences. Seven sub-populations were generated with 5,927 (50.13 %) high quality DArT markers out of the 11, 821 SNPs generated. This revealed high genetic diversity existed among the selected Bambara groundnut accessions in Nigeria. This also revealed that DArT markers were highly efficient in classifying the accessions based on molecular expressions. This study also identified markers responsible for genetic variation that could facilitate the characterization of larger collections for further utilization of genetic resources and most importantly Bambara groundnut for the purpose of crop improvement.