Correlation and diversity analysis for economic traits in spine gourd (Momordica dioica Roxb.) Bhagat Sanjay*, Sinha SK, Tiwari JK Department of Genetics and Plant Breeding, RMD College of Agriculture and Research Station, IGKV, Ambikapur-497001, Chhattisgarh *Corresponding author, Email: bhagatjt1011@gmail.com
Online published on 21 May, 2018. Abstract The present investigation was conducted with 33 genotypes of spine gourd for estimation of genetic parameters, correlation, principal component analysis and cluster analysis. Fruit yield per plant was observed to be positively associated with 43 significant positive correlations between yield and number of first flowering node, ovary length, single fruit weight and number of fruit per plant. Genetic diversity among spine gourd genotypes was executed through principal component analysis first seven principal component axes accounted for 76.4% variation towards the divergence. Among four clusters cluster III had highest number of genotypes (12) on the other hand cluster I (11) genotypes cluster II (8) and cluster IV contain only two genotypes In PCA and cluster analysis the genotypes grouped into four different clusters based on principal component scores. At present no concrete research work has been done in spine gourd with special emphasis on multivariate analysis through better performing genotypes so as to included in further breeding program. Spine gourd being highly cross pollinated crop, macro propagation through cuttings or micro propagation is found to be beneficial for the commercial exploitation of the horticultural superior genotypes. Top Keywords Correlation analysis, principal component analysis, cluster analysis, spine gourd. Top |