Understanding Genetic Diversity of Sorghum Using Quantitative Traits

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

RAPD Analysis in Sorghum [Sorghum bicolor (L.) Moench] Accessions

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

Evaluation of Somaclonal Variations for Quantitative Traits in Fodder Sorghum

Through in vitro culture studies, suitable explant and combination of phytohormones were standardized for maximum frequency of callus induction and regeneration in fodder sorghum variety CO (FS) 29. The in vitro derived plants were forwarded to the field as SC2 generation (somaclones) by selfing the SC1 generation for the evaluation of somaclonal variations in quantitative characters. The somaclone (SC2) lines recorded extensive variations for quantitative traits viz., plant height, days to 50% flowering, number of tillers plant-1, number of leaves plant-1, leaf length, leaf breadth, panicle length, grain yield plant-1 and green fodder yield plant-1. Somaclone lines were critically analysed for genetic parameters and scope for improvement of green fodder yield plant-1 is discussed

Publisher Correction: Control of electron–electron interaction in graphene by proximity screening

From Springer Nature via Jisc Publications RouterHistory: registration 2020-05-21, pub-electronic 2020-06-11, online 2020-06-11, collection 2020-12Publication status: PublishedAn amendment to this paper has been published and can be accessed via a link at the top of the paper

Understanding Genetic Diversity of Sorghum Using Quantitative Traits

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