1Research Station, Punjab Agricultural University, Amritsar-143 103, Punjab, India
2Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana-141 004, Punjab, India
*Corresponding Author: Pankaj Sharma, Research Station, Punjab Agricultural University, Amritsar-143 103, Punjab, India, Email: pankaj-pbg@pau.edu
Online published on 1 June, 2023.
Study of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) reveals the extent of phenotypic and genotypic variability in given population, respectively. Correlation and path analysis helps in identifying suitable selection criteria for improving the crop yield.
Plant material comprised of 68 genotypes belongs to early maturity group of pigeonpea and experiment conducted during Kharif 2015–16 in randomized complete block design with two replications.
Traits, seed yield per plant (GCV= 51.56%, h2= 97.13%, GAM= 104.67%) and number of pods per plant (GCV= 49.01%, h2= 99.07%, GAM= 100.49%) had high values of genotypic coefficient of variation (GCV), heritability (h2) and genetic advance as % of the mean (GAM) which indicated their additive genetic control. Plant height and number of seeds per pod recorded moderate to low heritability coupled with low GAM, indicating non-additive genetic control for these characters. Correlation analysis has revealed significant and positive association of seed yield per plant with number of pods per plant, plant height, secondary branches per plant, 100-seed weight and primary branches per plant. Path coefficient analysis identified number of pods per plant, secondary branches per plant and 100-seed weight as major traits affecting seed yield per plant directly and indirectly. The number of pods per plant and 100-seed weight should be given greater emphasis for improvement of seed yield in pigeonpea.
Correlation, Genetic variability, Heritability, Path coefficient, Pigeonpea
