MORPHOLOGICAL AND AFLP MARKER BASED GENETIC DIVERSITY IN SWEET SORGHUM WORKING GERMPLASM

Loading...
Thumbnail Image
Date
2009-07-10
Journal Title
Journal ISSN
Volume Title
Publisher
University of Agricultural Sciences GKVK, Bangalore
Abstract
Sweet sorghum (Sorghum bicolor L.) is a type of cultivated sorghum and has been recognized widely as potential alternative source of bio-fuel because of its high fermentable sugar content in the stalk. The objectives of the study were to assess the morphological diversity and DNA marker based genetic diversity among the 30 sweet sorghum Genotypes using AFLP markers. Considerable diversity was observed for all the twelve morphological characters studied. The most important character contributing to the divergence was grain yield per plant followed by Ethanol yield; All the PCV values were higher than GCV values for each character. The highest PCV and GCV values were recorded by, cane height, number of internodes, millable stalk yield, juice yield, brix reading, ethanol yield, moderate PCV and GCV were recorded in stem girth, total sugars, reducing sugars and yield per plant and Low PCV and GCV were recorded in days to 50 % flowering. Using D2 analysis of Mahalanodis (1936), thirty genotypes were grouped into ten clusters. Among the clusters, cluster II was the largest with six genotypes followed by cluster IV and VII with five genotypes respectively. The molecular study was carried out on genetic diversity in 30 selected sweet sorghum genotypes was studied using AFLP markers. The DNA fingerprints were generated by using four EcoRI and MseI adapter specific primer combinations. The pooled binary data from four primer combinations of 30 varieties was used to develop a distance matrix to display pair-wise genetic distance between the genotypes. The dendrogram drawn for these 30 varieties gave grouping of various varieties. The major cluster in the dendrogram is sub divided into four sub clusters, the genetic distance values ranged from 2 to 37, the highest genetic distance of 37 was observed between ICSV25263 and ICSB 731. Finally, the least genetic distance of 2 was observed between ICSV111 and SSV84.
Description
Keywords
null
Citation
Collections