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CURRENT SCIENCE, VOL. 114, NO. 6, 25 MARCH 2018 1333 *For correspondence. (e-mail: hitendra@iirs.gov.in) of the popular tools to analyse genetic diversity. It helps determine the relative contribution of different component traits in the total variability. Besides, it is also equally important in determining the degree of variability between populations. This is essential while selecting parents with wide diversity in order to have fruitful recombinations. In the present study, 20 plus trees/ genotypes of S. alba were resolved into five clusters following non-Euclidean hierarchical cluster analysis (Table 2 and Figure 1). This type of clustering pattern revealed no relation between geographical and genetic diversity. The genetic diversity may be attributed to different factors such as differential adoption methods, selection criteria, selection pressure and environment factors, which indicates that genetic drift resulted into greater diversity than that of geographic diversity. Earlier studies in Jatropa curcas, Pongamia pinnata and Madhuca latifolia are in line with the present findings, where no relation was observed between genetic diversity and geographical distribution. This can be attributed to the changes that these trees may have undergone during the process of selection. Plus trees in clusters II and I could be used for hybridization within groups as they were diverse and had maximum intra-cluster distance. Similarly, wider genetic diversity was observed between clusters V and IV, as they had maximum inter-cluster distance, followed by clusters IV and I. Thus, these groups can be utilized for hybridization, which will definitely yield fruitful results in the form of variable segregants having desired traits. This will be helpful in the improvement of the tree species in question.

Estimating Net Primary Productivity of Croplands in Indo-Gangetic Plains Using GOME-2 Sun-Induced Fluorescence and MODIS NDVI