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Genetic correlation and path coefficient analysis in chilli (Capsicum annum L.) genotypes for growth and yield contributing traits

Journal of Pharmacognosy and Phytochemistry · 2018 · Vol. 7(2) · pp. 1312–1315

Abstract

Forty two genotypes of chilli were used to study the correlation and path analysis for growth and yield contributing characters. The experiment was laid out in randomized block design with three replication at Kittur Rani Channamma College of Horticulture Arabhavi during Kharif season, 2016. The results revealed that plant height had positive and significant correlation with number of secondary branches, fruit length, green fruit weight and green fruit yield per plant. The path coefficient analysis brought out the number of fruits per plant, fruit width and average fruit weight as major yield components, which could be considered as selection indices for improvement. The results suggested that due emphasis should be on to the genotypes that are having maximum number of fruits per plant, fruit length, fruit girth and fruit weight in the selection process due to their high positive direct effect on green fruit yield.

Agricultural Practices and Plant GeneticsAgricultural pest management studiesAgricultural Economics and PracticesPath coefficientKharif cropPath analysis (statistics)Randomized block designHorticultureYield (engineering)BiologyCorrelation coefficientGenetic correlationMathematics
Citations
1
FWCI
0.34
field-weighted impact
References
0
Percentile
74%
vs. same field & year
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