and Formosa. The area under mung bean in Maharashtra is 4.44 lakh ha with production of 2.60 lakh tonnes and productivity of 585 Kg/ha during 2016-17. Maharashtra contributing 19.51% area with 30.92% contribution in production in the nation. The food values of mung bean lie in its high and easily digestible protein. Saleem et al., (1998) reported that seed contains components like, total protein (22.88-24.65%), total amino acids (20.98-25.61%), crude fibre (4.30-4.80 %) and lipids (1.53-2.63%).

Background: Seventy breeding lines of mung bean were evaluated for 20 different characters and mean values were worked for genetic diversity by Mahalanobis D2 statistic. Methods: The experiments included 70 mung bean breeding lines which were collected from Plant Breeding Unit, Agricultural Research Station, Badnapur. They were grown during Kharif 2016 at experimental research farm Badnapur of Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani. The data were recorded for 20 different characters on 10 randomly selected plants. The statistical analysis were done by Mahalanobis D2 statistics.Result: The results of D2 analysis indicated the presence of considerable genetic divergence among these breeding lines. In the present study, inter-cluster distances were worked out considering 20 characters and these distances ranged from 240.96 (between cluster V and cluster VII) to 1080.72 (between cluster V and cluster VIII). The inter-specific derivatives were grouped into eight clusters. The maximum inter-cluster distance was between cluster V and cluster VIII. The maximum inter-cluster distance was between cluster V and cluster VIII (1080.72), followed by cluster II and cluster III (932.25), cluster IV and cluster VIII (910.11), cluster VII and cluster VIII (738.30), cluster I and cluster VIII (732.61), cluster VI and cluster V (660.49) and cluster II and cluster VI (494.93). This suggested that there is wide genetic diversity between these clusters. Based on these studies, crosses can be made between breeding lines of these clusters to obtain desirable results either in transgressive breeding or in heterosis breeding. Cluster VIII and cluster IV showed high mean values for most of the yield contributing traits like100-seed weight, shelling %, harvest index, pod length, primary branches per plant, days to 50% flowering, days to maturity, leaf width and days to shattering. So the lines from cluster IV and cluster VIII can be used for mung bean yield improvement programme.

The present investigation was carried out during Kharif 2014. The experimental material consists of 40 different genotypes of okra with three checks Arka Anamika, Parbhani Kranti and Pusa Sawani. The materials were grown in randomized block design with three replications during Kharif 2014 on the field of Department of Agricultural Botany, College of Agriculture, VNMKV, Parbhani. The investigation carried out in the present study revealed that the genotypes 136 Thin, 003163, Kashi Pragati, Kashi Vibhuti and BO 13 showed better performance for traits namely plant height, length of fruit, calcium content, iron content, vitamin C content and fruit yield per hectare. Among the genotypes 136 Thin and 003163 had given highest yield. The high genotypic and phenotypic coefficient of variation was observed for characters namely number of branches, yield per hectare, yield per plot and yield per plant. All these traits indicate additive effect showed response for selection. High heritability estimates were found for characters like number of branches, yield per plot, iron content, yield per plant, plant height, vitamin C content, number of seeds per fruit (dry fruit), fruit bearing node and calcium content indicated good inheritance of these characters. High heritability coupled with high expected genetic advance was observed for characters like plant height, calcium content, yield per plant and yield per hectare, indicated presence of additive gene action and phenotypic selection may become more effective for desired genetic improvement.

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