Assessing Genetic Relationships, Trait Associations and Diversity Patterns in Sorghum Germplasm Through Correlation, Cluster and Principal Component Analysis

Abstract

Background: The loss of biodiversity has a significant impact on the fundamental services provided by ecosystems to humanity, including plant development and genetic improvement. Germplasm serves as the foundational material for identifying genetic variations. In this context, the examination of sorghum germplasm diversity has been conducted. Methods: The study involved 86 different sorghum germplasm samples that were assessed alongside three control groups, each replicated three times, during the Rabi season of 2021. This evaluation was conducted using augmented block design I (ABD I) at the Department of Millets, Tamil Nadu Agricultural University in Coimbatore. Result: The results of the Pearson correlation analysis revealed significant relationships notably, traits such as plant height, number of leaves, panicle length, panicle width, panicle weight, hundred seed weight and dry fodder yield exhibited positive and significant correlations with grain yield per plant. Cluster analysis identified four distinct groupings among the 86 accessions, with clusters 1 and 4 displaying the greatest diversity. Principal component analysis indicated that PC1 accounted for the largest variability. The genotypes were identified through PCA analysis is having greater variation and better performance. The findings of this study suggest that the identified sorghum genotypes could serve as valuable genetic resources for enhancing sorghum productivity in dry and semi-arid regions, particularly in the face of unpredictable climate change.