Morpho-molecular Genetic Diversity Analysis of Basmati and Non-basmati Rice (Oryza sativa L.) Germplasm

Abstract

This study evaluated genetic variability and relatedness among 34 rice genotypes, encompassing basmati and non-basmati varieties using morphological and molecular data. The findings revealed significant variability across all traits assessed. High phenotypic and genotypic coefficients of variation (PCV and GCV) were observed for traits such as days to 50% flowering, days to maturity, biological yield, grain yield, test weight, flag leaf length, and number of effective tillers. Notably, high heritability and genetic advance indicated that these traits are likely influenced by additive gene effects, making them suitable for selection in breeding programs. D2 analysis confirmed substantial genetic diversity among the genotypes and five clusters were formed based on the morphological data. Molecular analysis using 13 SSR primers, out of 13 primers 11 primers are showed the banding pattern, with the highest polymorphism information content (PIC) value recorded at 0.79 for marker HvSSR04-46. Clustering based on Jaccard’s dissimilarity coefficient revealed two distinct clusters. Based on the dendrogram pattern molecular data is divided into two clusters, cluster I and Cluster II, cluster I is subdivided into Cluster Ia and Cluster Ib. This research was conducted at Sardar Vallabhbhai Patel University of Agricultural & Technology, Modipuram, Meerut, Uttar Pradesh, highlights the potential for selecting diverse rice genotypes to enhance breeding programs.