Assessment of genetic diversity and relationship among a collection of US sweet sorghum germplasm by SSR markers |
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Authors: | M L Ali J F Rajewski P S Baenziger K S Gill K M Eskridge I Dweikat |
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Institution: | (1) Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583-0915, USA;(2) Department of Statistics, University of Nebraska, Lincoln, NE 68583, USA;(3) Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA |
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Abstract: | Sweet sorghum (Sorghum bicolor L.) is a type of cultivated sorghums and has been recognized widely as potential alternative source of bio-fuel because of
its high fermentable sugar content in the stalk. A substantial variation of sugar content and related traits is known to exist
in US sweet sorghum. The objectives of the study were to assess the genetic diversity and relationship among the US sweet
sorghum cultivars and lines using SSR markers and to examine the genetic variability within sweet sorghum accessions for sugar
content. Sixty-eight sweet sorghum and four grain sorghum cultivars and lines were genotyped with 41 SSR markers that generated
132 alleles with an average of 3.22 alleles per locus. Polymorphism information content (PIC) value, a measure of gene diversity,
was 0.40 with a range of 0.03–0.87. The genetic similarity co-efficient was estimated based on the segregation of the 132
SSR alleles. Clustering analysis based on the genetic similarity (GS) grouped the 72 sorghum accessions into 10 distinct clusters.
Grouping based on clustering analysis was in good agreement with available pedigree and genetic background information. The
study has revealed the genetic relationship of cultivars with unknown parentage to those with known parentage. A number of
diverse pairs of sweet sorghum accessions were identified which were polymorphic at many SSR loci and significantly different
for sugar content as well. Information generated from this study can be used to select parents for hybrid development to maximize
the sugar content and total biomass, and development of segregating populations to map genes controlling sugar content in
sweet sorghum. |
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Keywords: | Cluster analysis Genetic distance Genetic diversity Genetic similarity co-efficient SSRs Sweet sorghum |
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