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 the productivity gap, further improvement in grain yield must be attained by enhancing the genetic potential of new cultivars that depends on the genetic diversity of the parents. Hence, our aim w...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114214 |
| _version_ | 1855526163847315456 |
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| author | Chander, S. Garcia-Oliveira, A.L. Gedil, Melaku A Shah, T. Otusanya, G.O. Asiedu, R. Chigeza, G. |
| author_browse | Asiedu, R. Chander, S. Chigeza, G. Garcia-Oliveira, A.L. Gedil, Melaku A Otusanya, G.O. Shah, T. |
| author_facet | Chander, S. Garcia-Oliveira, A.L. Gedil, Melaku A Shah, T. Otusanya, G.O. Asiedu, R. Chigeza, G. |
| author_sort | Chander, S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Soybean productivity in sub-Saharan Africa (SSA) is less than half of the global average yield. To plug the productivity gap, further improvement in grain yield must be attained by enhancing the genetic potential of new cultivars that depends on the genetic diversity of the parents. Hence, our aim was to assess genetic diversity and population structure of elite soybean genotypes, mainly released cultivars and advanced selections in SSA. In this study, a set of 165 lines was genotyped with high-throughput single nucleotide polymorphism (SNP) markers covering the complete genome of soybean. The genetic diversity (0.414) was high considering the bi-allelic nature of SNP markers. The polymorphic information content (PIC) varied from 0.079 to 0.375, with an average of 0.324 and about 49% of the markers had a PIC value above 0.350. Cluster analysis grouped all the genotypes into three major clusters. The model-based STRUCTURE and discriminant analysis of principal components (DAPC) exhibited high consistency in the allocation of lines in subpopulations or groups. Nonetheless, they presented some discrepancy and identified the presence of six and five subpopulations or groups, respectively. Principal coordinate analysis revealed more consistency with subgroups suggested by DAPC analysis. Our results clearly revealed the broad genetic base of TGx (Tropical Glycine max) lines that soybean breeders may select parents for crossing, testing and selection of future cultivars with desirable traits for SSA. |
| format | Journal Article |
| id | CGSpace114214 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1142142025-11-11T10:18:29Z Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers Chander, S. Garcia-Oliveira, A.L. Gedil, Melaku A Shah, T. Otusanya, G.O. Asiedu, R. Chigeza, G. genetic diversity population structure single nucleotide polymorphism genetic markers soybeans subsaharan africa Soybean productivity in sub-Saharan Africa (SSA) is less than half of the global average yield. To plug the productivity gap, further improvement in grain yield must be attained by enhancing the genetic potential of new cultivars that depends on the genetic diversity of the parents. Hence, our aim was to assess genetic diversity and population structure of elite soybean genotypes, mainly released cultivars and advanced selections in SSA. In this study, a set of 165 lines was genotyped with high-throughput single nucleotide polymorphism (SNP) markers covering the complete genome of soybean. The genetic diversity (0.414) was high considering the bi-allelic nature of SNP markers. The polymorphic information content (PIC) varied from 0.079 to 0.375, with an average of 0.324 and about 49% of the markers had a PIC value above 0.350. Cluster analysis grouped all the genotypes into three major clusters. The model-based STRUCTURE and discriminant analysis of principal components (DAPC) exhibited high consistency in the allocation of lines in subpopulations or groups. Nonetheless, they presented some discrepancy and identified the presence of six and five subpopulations or groups, respectively. Principal coordinate analysis revealed more consistency with subgroups suggested by DAPC analysis. Our results clearly revealed the broad genetic base of TGx (Tropical Glycine max) lines that soybean breeders may select parents for crossing, testing and selection of future cultivars with desirable traits for SSA. 2021 2021-07-07T09:57:19Z 2021-07-07T09:57:19Z Journal Article https://hdl.handle.net/10568/114214 en Open Access application/pdf MDPI Chander, S., Garcia-Oliveira, A. L., Gedil, M., Shah, T., Otusanya, G. O., Asiedu, R., & Chigeza, G. (2021). Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers. Agronomy, 11(3), 604: 1-11. |
| spellingShingle | genetic diversity population structure single nucleotide polymorphism genetic markers soybeans subsaharan africa Chander, S. Garcia-Oliveira, A.L. Gedil, Melaku A Shah, T. Otusanya, G.O. Asiedu, R. Chigeza, G. Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers |
| title | Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers |
| title_full | Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers |
| title_fullStr | Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers |
| title_full_unstemmed | Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers |
| title_short | Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers |
| title_sort | genetic diversity and population structure of soybean lines adapted to sub saharan africa using single nucleotide polymorphism snp markers |
| topic | genetic diversity population structure single nucleotide polymorphism genetic markers soybeans subsaharan africa |
| url | https://hdl.handle.net/10568/114214 |
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