Correlation and Path Co-efficient Analysis in Okra (Abelmoschus esculentus Linn.) Genotypes Chandramouli B.1, M. Rao Paratpara2, Prof. Shrihari D.3, Rao A. V. D. Dorajee4 1Department of Vegetable Science, Horticultural College and Research Institute Venkataramannagudem, West Godavari, Andhra Pradesh 2Department of Genetics and Plant Breeding, Horticultural College and Research Institute Venkataramannagudem, West Godavari, Andhra Pradesh 3Department of Horticulture, Dr. Y.S.R.H.U, Venkataramanna gudem, West Godavari, Andhra Pradesh 4Department of Horticulture, Horticultural College and Research Institute, Venkataramannagudem, West Godavari, Andhra Pradesh Online published on 23 December, 2016. Abstract Okra (Abelmoschus esculentus Linn.) is an important vegetable crop under coastal Andhra Pradesh conditions. There are plenty of genotypic resources for this crop. Genotypic evaluation is a continuous process directed towards achieving progress in crop improvement activity. Under the present investigation, correlation and path coefficient analysis was carried out among 30 okra genotypes (includes two checks) which revealed that the magnitude of genotypic correlation coefficients was higher than phenotypic correlation coefficients, forthe quantitativetraitsthat were studied. The most important economic trait, fruit yield per plant exhibited positive and significant correlation with plant height, number of primary branches per plant, number of nodes on main stem, intermodal length, number of fruits per plant, fruit length, fruit girth, number of pickings and picking duration at both phenotypic and genotypic levels indicating the importance of these traits in selection for yield. Path co-efficient analysis was performed taking the fruit yield per plant as dependent variable. It was revealed from the results that intermodal length, fruit length, days to first picking, petiole length, picking duration, node at which first flower appeared, fruit girth, number of pickings and number of nodes on main stem exerted a high positive direct effect on fruit yield per plant. The high direct effect of these traits appeared to be the main factors for their strong association with fruit yield per plant. The magnitude of direct effects by these traits is indicative of the effectiveness of direct selection based on such traits. Top Keywords Character association, direct effect, path coefficient analysis, yield attributes, okra, phenotypic correlation, genotypic correlation. Top |