PATH ANALYSIS AND PRINCIPAL COMPONENT ANALYSIS FORSEEDLING AND REPRODUCTIVE STAGE SALINITY TOLERANCE INRICE (ORYZA SATIVA L.)Jallu Pranaya, Veeraghattapu Roja, Puram Venkata Ramana Rao,Merugumala Girija Rani and Dasyam RameshAbstract The present investigation was carried out to determine the relationship and genetic diversity among 76 ricegermplasm using principal component analysis and path analysis at both seedling and reproductive stagesalinity tolerance. Principal Component Analysis (PCA) was utilized to estimate the relative contributionof various traits for total variability. During seedling stage, the first two principal components togetheraccounted for 78.92% of the variability. The PC1 and PC2 showed eigen value more than 1 and contributed46.83 and 18.59 percent of variability respectively. During reproductive stage,the first three componentswere found to have eigen value more than 1.00 and contributed 40.58, 17.80 and 13.65 per cent of variability.All the three PCâs accounted for 81.31% of the total variability. Path analysis revealed that high directeffects was exhibited by shoot Na+ concentration at seedling stage; and similarly, high direct effects wasexhibited by number of productive tillers, number of grains per panicle at reproductive stage. Hence, selectionbased on these characters would be more effective to meet higher grain yield. The residual effect underpath analysis was very low and negligible. |