Search

Sorghum is the important cereal crop around the world and hence understanding and utilizing the genetic variation in sorghum accessions are essential for improving the crop. A good understanding of genetic variability among the accessions will enable precision breeding. So profiling the genetic diversity of sorghum is imminent. In the present investigation, forty sorghum accessions consisting of sweet sorghum, grain sorghum, forage sorghum, mutant lines, maintainer lines, and restorer lines were screened for genetic diversity using quantitative traits. Observations were recorded on 14 quantitative traits, out of which 9 diverse traits contributing to maximum variability were selected for genetic diversity analysis. The principle component analysis revealed that the panicle width, stem girth, and leaf breadth contributed maximum towards divergence. By using hierarchical cluster analysis, the 40 accessions were grouped under 6 clusters. Cluster I contained maximum number of accessions and cluster VI contained the minimum. The maximum intercluster distance was observed between cluster VI and cluster IV. Cluster III had the highest mean value for hundred-seed weight and yield. Hence the selection of parents must be based on the wider intercluster distance and superior mean performance for yield and yield components. Thus in the present investigation quantitative data were able to reveal the existence of a wide genetic diversity among the sorghum accessions used providing scope for further genetic improvement. [ABSTRACT FROM AUTHOR]

Assessment of genetic diversity and identification of superior genotypes are important prerequisites for a successful crop improvement program. In the present investigation, 40 sorghum accessions consisting of sweet sorghum, grain sorghum, forage sorghum, mutant lines, maintainer lines and restorer lines, were screened for genetic diversity using quantitative traits. Observations were recorded on 14 quantitative traits, out of which 9 diverse traits contributing to maximum variability were selected for genetic diversity analysis. The principle component analysis revealed that the panicle width, stem girth and leaf breadth, contributed maximum towards divergence. By using hierarchical cluster analysis, the 40 accessions were grouped under 6 clusters. Cluster I contained maximum number of accessions and cluster VI contained the minimum. The maximum inter cluster distance was observed between cluster VI and cluster IV. Cluster III had the highest mean value for hundred seed weight and yield. Hence the accessions falling under these clusters could be used as the parents for hybridization programme in sorghum. Thus, morphological data were able to reveal the existence of a wide genetic diversity among the sorghum accessions used providing scope for further genetic improvement. [ABSTRACT FROM AUTHOR]

Genetic diversity is essential for the continued progress in breeding and to meet future environmental challenges. The present study was conducted to assess the genetic diversity among forty sorghum accessions using RAPD markers. A total of 107 polymorphic loci generated 65.35% polymorphism. The number of markers per primer ranged from 6-12. PIC value ranged from 0.34 to 2.54. Jaccard's similarity coefficient values ranged from 0.40 to 0.78. The cluster analysis resulted in five clusters revealing high homology between B-lines and R-lines. The clustering pattern of accessions also indicated that there was a wide genetic diversity between the grain sorghum groups and the forage sorghum groups. The variation was moderate among the sweet sorghum. The mutant lines showed more DNA polymorphism compared to the parents. Thus, RAPD analysis revealed the existence of a wide genetic diversity among the sorghum accessions providing scope for the development of well-defined heterotic groups for this crop. [ABSTRACT FROM AUTHOR]