Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers
Background/Objectives: Understanding the genetic diversity of soybean genotypes can provide valuable information that guides parental selection and the design of an effective hybridization strategy in a soybean breeding program. In order to identify genetically diverse, complementary, and prospectiv...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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MDPI
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/158489 |
| _version_ | 1855543710652039168 |
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| author | Chiemeke, F.K. Olasanmi, B. Agre, A.P. Mushoriwa, H. Chigeza, G. Abebe, A.T. |
| author_browse | Abebe, A.T. Agre, A.P. Chiemeke, F.K. Chigeza, G. Mushoriwa, H. Olasanmi, B. |
| author_facet | Chiemeke, F.K. Olasanmi, B. Agre, A.P. Mushoriwa, H. Chigeza, G. Abebe, A.T. |
| author_sort | Chiemeke, F.K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Background/Objectives: Understanding the genetic diversity of soybean genotypes can provide valuable information that guides parental selection and the design of an effective hybridization strategy in a soybean breeding program. In order to identify genetically diverse, complementary, and prospective parental lines for breeding, this study set out to ascertain the genetic diversity, relationships, and population structure among 35 soybean genotypes based on agro-morphological traits and Single Nucleotide Polymorphic (SNP) marker data. Methods/Results: Cluster analysis, based on agro-morphological traits, grouped the studied genotypes into four clusters. The first two principal components accounted for 62.8% of the total phenotypic variation, where days to 50% flowering, days to 95% maturity, grain yield, shattering score, and lodging score had high and positive contributions to the total variation. Using the SNP marker information, mean values of 0.16, 0.19, 0.067, and 0.227 were obtained for minor allele frequency (MAF), polymorphic information content (PIC), observed heterozygosity (Ho), and expected heterozygosity (He), respectively. Using different clustering approaches (admixture population structure, principal component scatter plot, and hierarchical clustering), the studied genotypes were grouped into four major clusters. Conclusions:The agro-morphological and molecular analysis results indicated the existence of moderate genetic diversity among the studied genotypes. The traits identified to be significantly related to yield provide valuable information for the genetic improvement of soybeans for yield. |
| format | Journal Article |
| id | CGSpace158489 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1584892025-12-08T10:29:22Z Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers Chiemeke, F.K. Olasanmi, B. Agre, A.P. Mushoriwa, H. Chigeza, G. Abebe, A.T. soybeans snp genotypes yields genetic diversity Background/Objectives: Understanding the genetic diversity of soybean genotypes can provide valuable information that guides parental selection and the design of an effective hybridization strategy in a soybean breeding program. In order to identify genetically diverse, complementary, and prospective parental lines for breeding, this study set out to ascertain the genetic diversity, relationships, and population structure among 35 soybean genotypes based on agro-morphological traits and Single Nucleotide Polymorphic (SNP) marker data. Methods/Results: Cluster analysis, based on agro-morphological traits, grouped the studied genotypes into four clusters. The first two principal components accounted for 62.8% of the total phenotypic variation, where days to 50% flowering, days to 95% maturity, grain yield, shattering score, and lodging score had high and positive contributions to the total variation. Using the SNP marker information, mean values of 0.16, 0.19, 0.067, and 0.227 were obtained for minor allele frequency (MAF), polymorphic information content (PIC), observed heterozygosity (Ho), and expected heterozygosity (He), respectively. Using different clustering approaches (admixture population structure, principal component scatter plot, and hierarchical clustering), the studied genotypes were grouped into four major clusters. Conclusions:The agro-morphological and molecular analysis results indicated the existence of moderate genetic diversity among the studied genotypes. The traits identified to be significantly related to yield provide valuable information for the genetic improvement of soybeans for yield. 2024 2024-11-04T14:24:19Z 2024-11-04T14:24:19Z Journal Article https://hdl.handle.net/10568/158489 en Open Access application/pdf MDPI Chiemeke, F.K., Olasanmi, B., Agre, A.P., Mushoriwa, H., Chigeza, G. & Abebe, A.T. (2024). Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers. Genes, 15(11): 1373, 1-16. |
| spellingShingle | soybeans snp genotypes yields genetic diversity Chiemeke, F.K. Olasanmi, B. Agre, A.P. Mushoriwa, H. Chigeza, G. Abebe, A.T. Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers |
| title | Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers |
| title_full | Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers |
| title_fullStr | Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers |
| title_full_unstemmed | Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers |
| title_short | Genetic diversity and population structure analysis of soybean [Glycine max (L.) Merrill] genotypes using agro-morphological traits and SNP markers |
| title_sort | genetic diversity and population structure analysis of soybean glycine max l merrill genotypes using agro morphological traits and snp markers |
| topic | soybeans snp genotypes yields genetic diversity |
| url | https://hdl.handle.net/10568/158489 |
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