Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

Free Publication Certificate

Vol. 11, Special Issue 5 (2022)

Path coefficient analysis in pigeonpea (Cajanus cajan L. Millsp)

Author(s):
S Rajamani, M Sreekanth and MV Ramana
Abstract:
An investigation was carried out in pigeonpea to understand the association of six component characters viz., plant height, days to 50% flowering, number of primary branches per plant, number of secondary branches per plant, number of pods per plant and test weight on yield and their direct and indirect effects. The estimates of genotypic correlations coefficients are higher than phenotypic correlation coefficients indicating that strong genetic association among the traits. Path coefficient analysis (genotypic) revealed that plant height, number of secondary branches per plant, pods per plant and test weight were made maximum direct contribution towards seed yield. Correlations of plant height, number of primary branches per plant and number of pods per plant were also played significant role with positive effect which were reflected in path analysis as high direct effects, which are important in improving the yields strategically.
Pages: 483-485  |  249 Views  75 Downloads
How to cite this article:
S Rajamani, M Sreekanth and MV Ramana. Path coefficient analysis in pigeonpea (Cajanus cajan L. Millsp). The Pharma Innovation Journal. 2022; 11(5S): 483-485.

Call for book chapter