Genetic variability and diversity study on Bhot jolokia (Capsicum chinense Jacq)
AbstractThirty Bhot jolokia (Capsicum chinense Jacq) accessions from three different states of north east region were evaluated in a
thorough field exploration with enough geographical representation to assess genotypic coefficient of variation (GCV),
phenotypic coefficient of variation (PCV), heritability (h2%) and genetic advance (GA). Higher GCV and PCV were
observed for plant height, fruits per plant, fruit weight, fruit length, fruit width and number of seeds per fruit. High
heritability coupled with high genetic advance observed for these characters imply the potential for crop improvement
through selection. Using the SPSS (version 13.0) software, cluster analysis was performed based on maximum and
minimum Euclidian dissimilarity distances which separate the thirty accessions of C. chinense into six distinct clusters with
distinct morphological variation between the clusters.
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