The present study was carried out to determine the genetic diversity and association among 36 Basmati rice (Oryzasativa L.) genotypes based on morphological and quality traits. Different genotypes were evaluated in randomizedblock design (RBD) at Rice Research Station, Kaul (India) during rainy (kharif) season 2016 and 2017. Principlecomponent analysis indicated that first five principle components (PC) accounted for more than 80% (PC1=35.33%,PC2=19.84%, PC3= 11.30, PC4=8.08 and PC5=6.81%) of the total variation. Principle component 1 was loaded withnumber of tiller per plant, panicle length, panicle weight, number of spikelets per panicle, thousand grain weight,grain yield per plant and harvest index while plant height, biological yield per plant, hulling per cent, milling percent, head rice recovery per cent, alkali spreading value and amylose content were present in principle component 2. Cluster analysis divided the genotypes into five clusters and genotypes with earliness and yielding traits were present in cluster 1. A high positive and significant correlation of grain yield per plant was seen with number of tillers per plant, panicle length, panicle weight, number of spikelets per panicle, biological yield per plant, harvest index, alkali spreading value and amylose content. This study would be helpful in identifying the diverse and donor parents for important traits which can be used for genetic improvement programs of Basmati rice.

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The sixty-bread wheat (Triticum aestivum L.) genotypes were distributed among the seven clusters obtained using D2 statistics Euclidean distance method on the basis of observations taken on various morphological and physiological traits namely days to heading, days to anthesis, days to physiological maturity, grain filling duration, plant height, number of effective tillers, thousand grain weight, grain yield, chlorophyll fluorescence and canopy temperature. Results obtained revealed that the cluster IV had maximum number of genotypes i.e.,17 genotypes followed by cluster I (13 genotypes), Cluster IV (10 genotypes), cluster VII, II, III and VI (9, 5, 3 and 3 respectively). The highest inter cluster genetic distance existed between cluster I and VI (6.559) and the average intra cluster distance between the genotypes of cluster VII (3.817) was maximum. Therefore, genotypes in these clusters may be used to produce the superior hybrids and transgressive segregants. For grain yield and effective tillers had highest mean value in cluster VI. Cluster III had highest mean value for 1000-grain weight and lowest values for plant height indicating genotypes were short. Traits such as days to anthesis followed by canopy temperature, days to maturity, grain filling duration, chlorophyll fluorescence and grain yield per meter contributing a total of 68.1 per cent to the total divergence.