Open AccessCorrelation and path-coefficient analysis in Ramnad Mundu chilli (Capsicum annuum L.) for yield and quality traits
Author(s) -
Jlg Kumar,
P. Paramaguru,
T. Arumugam,
N. Manikanda Boopathi,
K. Venkatesan
Publication year - 2021
Publication title -
international journal of plant sciences
Language(s) - English
Resource type - Journals
eISSN - 0976-593X
pISSN - 0973-1547
DOI - 10.15740/has/ijps/16.1/1-6
Subject(s) - path coefficient , kharif crop , randomized block design , biology , horticulture , capsicum annuum , path analysis (statistics) , yield (engineering) , point of delivery , crop , positive correlation , agronomy , mathematics , field experiment , pepper , statistics , medicine , materials science , metallurgy
The present investigation was conducted to find the correlation and path-coefficient analysis for yield and yield contributing characters in Ramnad Mundu chilli (Capsicum annuum L.) during Kharif 2018-19. The experiment was conducted on Forty-seven Mundu chilli genotypes for 15 characters, which was laid out in Randomized Complete Block Design with two replications. From correlation study dry fruit yield per plant showed highly positive correlation with number of fruits per plant (0.971 G, 0.894 P), ripened fruit yield per plant (0.991 G, 0.949 P), number of seeds per fruits (0.383 G, 0.32 P), 1000 seed weight (0.369 G, 0.332 P), capsaicin % (0.302 G, 0.256 P) and number of primary branches per plant (0.267 G, 0.251 P) at both genotypic and phenotypic level. Path-coefficient analysis of different characters contributing towards the highest positive direct effect via number of fruits per plant (0.973), ripened fruit yield per plant (0.991), no. of seeds per fruit (0.383), 1000 seed weight (0.364), capsaicin % (0.302) and number of primary branches per plant (0.267). Hence, direct selection based on these characters would be effective in crop improvement through plant breeding in Mundu chilli.