Rice (Oryza sativa L.) belongs to the family Poaceae it is one of the principle food crop in the world and is a necessary food for all in same or the other way. Present study sixty four rice genotypes, along with checks, on the basis of six qualitative and nine qualitative characters. Analysis of variance for quantitative and qualitative characters showed for different characters. The result of analysis of variance indicated that the mean sum of squares due to the genotype were highly significant for the quantitative character studies i.e. days to 50% flowering ,plant height, (cm), number of panicles, panicle length, test weight, number of effective tiller, spikelet fertility, harvest index, grain yield, grain length, grain width, L/B ratio and milling %. High magnitude of coefficient of variation (more than 21 %) in the entire genotypes was observed for Harvest index (21.75%). Moderate magnitude of coefficient of variation (10-20 %) was observed for grain yield (25.02%). The highest heritability was recorded for days to 50% flowering followed by, %), L/B ratio, plant height, and grain length, evaluated against in stem borer infestation. Total sixty four genotypes were selected for the present investigation. Details of genotype are given in. Out of twenty major insect pests reported by several workers in rice one insect pest namely stem borer were recorded as major insect pests while others were observed as visiting pest. For the forty five genotypes highly resistance six genotypes resistance and thirteen genotypes are moderately resistance. In leaf blast infestation out of Sixty four genotypes from the occurrence of leaf blast infestation and 0.00-1.0 % percent disease incidence (PDI) score while nine genotypes Highly resistant exhibited 2.0-10.0 % PDI score thirty three genotypes Resistant was 11.0-20.0 % PDI score, twenty two genotypes Moderately resistant are. The desirable traits from these hopeful sources can be merged into elite entries with higher yield potential or exploited for advanced genetic analysis studies. The Correlation coefficient analysis is the index of association between two variables. These have been dealt in all possible combination for important quantitative character at phenotypic and genotypic levels are presented path analysis to estimate the direct and indirect effect of various characters towards seed yield per plant. From the thirteen characters included in the study nine characters showed positive direct effect towards seed yield per plant. The genetic divergence analysis using Mahalanobi's statistic provides a useful tool for measuring the inherent diversity in genotypes with respect to the characters considered together. It also provides a quantitative measure of association between geographic and genetic diversity based on generalized distance.

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