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Correlation and path analysis in chilli (Capsicum annuum L.) genotypes

Journal of Pharmacognosy and Phytochemistry · 2020 · Vol. 9(6) · pp. 532–540

Abstract

The present investigation was carried out in two seasons i.e during Kharif, 2019 and during Rabi, 2019-20. Thirty five chilli genotypes were evaluated in Randomized Block Design for seventeen yield and yield contributing characters. Correlation coefficient analysis indicated positive, though not significant association of fruit yield per plant with plant height, plant spread, number of primary branches per plant, days to last harvest, fruit length, fruit diameter, number of fruits per plant, fruit weight, fruit yield per plot, ascorbic acid, capsaicin content and capsanthin content. Path coefficient analysis showed that the number of fruits per plant and fruit yield per plot showed positive direct effect at both phenotypic and genotypic levels on fruit yield per plant. It clearly indicates that direct selection based on these characters would be effective for increasing the yield.

Agricultural Practices and Plant GeneticsAgricultural Economics and PracticesAgricultural pest management studiesKharif cropPath coefficientRandomized block designYield (engineering)Ascorbic acidCapsicum annuumHorticulturePath analysis (statistics)BiologyCorrelation coefficient
Citations
3
FWCI
0.23
field-weighted impact
References
0
Percentile
70%
vs. same field & year
Citations per year
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