Vol. 11, Issue 4 (2022)

Author(s):
PG Bagadiya, CG Intwala, P Patel and JS Usadad

Abstract:
Correlation is an association of two variables. Path coefficient analysis measures the direct influence of one variable upon another and permits the separation of correlation coefficient into components of direct and indirect effects. The present investigation was carried out to study their correlation among quantitative traits and their direct and indirect effect on fruit yield in F₂ populations of okra. This experimental material was comprised of four crosses viz., Arka Abhay x NOL-17-6, Arka Anamika x NOL-17-6, Arka Abhay x NOL-18-02, AOL-10-22 x NOL-18-02, along with their parents and its F₁ and F₂ segregating population. The crosses were evaluated in the non-replicated fashion as the segregating F₂ generation was involved. Fruit yield per plant was found to be positive and significantly correlated with number of branches per plant (except cross AOL-10-22 x NOL-18-02), fruit weight and numbers of fruit per plant for all the four crosses; Path coefficient analysis showed that direct selection for fruit weight, number of fruits per plant for all the four crosses.