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Assessment of genetic diversity and relationship among a collection of US sweet sorghum germplasm by SSR markers
Authors:M L Ali  J F Rajewski  P S Baenziger  K S Gill  K M Eskridge  I Dweikat
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
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.
Keywords:Cluster analysis  Genetic distance  Genetic diversity  Genetic similarity co-efficient  SSRs  Sweet sorghum
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