Author(s):

Pratibha Yadav, DK Dwivedi, Harishchandra, Parveen, Preeti Kumari and Archana Devi

Abstract: The present investigations were conducted in randomized block design with three replications in the net house of the department of Plant Molecular Biology and Genetic engineering, N.D.U.A.T, Kumarganj, Ayodhya to estimate the genetic divergence under normal and salinity conditions involving 30 rice genotypes during <em>Kharif</em> 2016, based on the relative magnitude of D² values, the clustering pattern of 30 rice genotypes under normal and saline conditions were grouped into six non-overlapped clusters. Under normal condition, Cluster 1 and IV having highest 8 rice genotype in each. Cluster II having five genotypes. Cluster III, V and VI having three rice genotypes in each. Under saline condition, Cluster V having 8 rice genotypes. Cluster VI having seven rice genotypes. Cluster III having five rice genotypes. Cluster I having four rice genotypes. Cluster IV having four and cluster II having two rice genotypes. It means the overall genetic similarity was found in the germplasms were presented within the cluster and the pattern of distribution of genotypes in different clusters exhibited that geographical diversity was not related to genetic diversity as genotypes of same geographical region were grouped into different cluster and vice-versa. The highest inter cluster distance was recorded between cluster 1 and cluster 5 (1494.17) followed by between cluster 1 and cluster 6 (1255.42), cluster 2 and cluster 5 (1101.02), cluster 3 and cluster 5 (1030.71) and cluster 3 and cluster 6 (716.81) under normal condition. Under saline condition the highest inter cluster distance was recorded between cluster 3 and cluster 6 (1676.69) followed by between cluster 3 and cluster 5 (1552.04), cluster 1 and cluster 3 (1106.63), cluster 4 and cluster 6 (871.92) and cluster 4 and cluster 5 (753.88). Cluster VI and Cluster III had highest cluster mean for grain yield per plant under normal and saline conditions, respectively. The results showed wide variation from one cluster to another in respect of cluster means for all characters, which indicated that varieties having distinctly different mean performance for various characters were reported into different clusters.

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