​Estimation of Yield and Yield-related Traits among Seedling Colnes of Mango [Mangifera indica (L.) Cv. Langra] using Correlation and Path Coefficient

Abstract

Background: Mango is one of the most important fruits in the world. The superior position of mango is due to its very wide and variety utilization and because of that, the main goal of all mango breeding programs is to obtain new inbred and hybrids that will outperform the existing hybrids concerning many traits for efficient selection of fruit yield, like the most important economic traits, regarding its on the great influence the environmental factors, has a complex mode of inheritance and low heritable is necessary to know the relation between fruit yield and other traits which are influencing on fruit yield. The current study aimed to verify the variability and correlation between the traits in fruit yield, to practice indirect selection. Methods: In this field investigation during 2018-19, Forty diverse clones (vegetative propagate) of mango cv. Langra were selected on Fruit Research Station (Farm), Imalia, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.) to determine the genotypic correlation along with their direct and indirect effects through path coefficient analysis in mango as to estimate the contribution of most important characters towards yield. Result: Yield was positively and significantly correlated with panicle length (0.38**), length of leaves (0.22*). The residual effect of path analysis was -0.06 revealed higher genetic variability and also proved a lower per cent of environmental influence on the selected characters of mango clones of Langra. Higher positive direct effects on yield were exhibited by the length of leaves, the width of leaves, flower shoot length, number of panicles, number of flowers, and fruit drop %. In combination with correlation coefficient and path analysis, it was found that the length of leaves gave a significant positive correlation coefficient with yield and also produce a high positive direct effect.