The present investigations were conducted at Nursery area, Department of Horticulture, College of Agriculture, Indore, . during kharif season of 2016. The experiment was laid out in Randomized Completely Block Design (RCBD) with three replications and eighteen genotypes were collected . Shakti, Jhilmil, No. 55, Sahiba, No. 64, Harita, Saarika, Ns-801, Arya Mohini, Shaan, Hissar Unnat, Panchwati, Panchali, Swati, Lakshmi, OH-102, Shankar Ganga and Parbhani Kranti. The genotype Panchwati was recorded maximum in growth and yield characters like number of branches plant-1 , number of leaves plant-1 , fruit length ( cm), fruit width (), fruit weight ( gm), number of fruit plant-1 (), fruit yield plant-1 (), fruit yield plot-1 ( kg), and fruit yield ha-1 ( q). The highest positive and significant correlation coefficient of fruit yield plant-1 was observed with number of fruits plant-1 and fruit length. The highest positive and significant correlation coefficient of fruit yield plant-1 has been noted with number of fruits plant-1 indicating that these characters is the primary yield determinant in okra. The yield attributing characters exhibited varying trend amongst them. Path coefficient analysis revealed that number of fruits plant-1 had highest positive direct effect followed by fruit weight, number of nodes to first flowering, number of branches plant-1 at 90 DAS (days after sowing), length of internodes, number of leaves plant-1 at 90 DAS, plant height at 90 DAS and fruiting span are the most important character contributing towards fruit yield and hence purposeful and balance selection based on these character would be rewarding improvement in okra. Direct selection of fruit yield plant-1 , days to 50% flowering, days to first flowering, fruit length and days to first picking should be avoided instead of direct selection. | Assessment of the correlation and path analysis with association of growth and yield characteristics in Okra
