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Keywords: Okra, Bi-plot analysis, Correlation and path analysis
To identify genotypes with greater potential for appreciable yield and yield related components from diverse genotypes of okra and donors for improved productivity, an experiment was conducted with 25 indigenous and 25 exotic collections following randomized complete block design with three replications. The data on morphological characters were analysed using R Studio software factoextra package and GENRES. The results revealed that, out of nine principal components, PC1, PC2, and PC3 with eigen values of 4.07, 1.64, and 1.00 respectively, exhibited yield and yield attributing traits. Several exotic accessions, viz., G36, G50, G37, G47, and G35, along with a few indigenous collections viz., G21 and G24 were closely associated with yield and attributing-traits. Identified genotypes, viz., G36, G37, G35, G24, and G50 with maximum number of fruits per plant, fruit length, fruit girth, and fruit yield per plant, showed higher potentials for improved yield and are thus recommended for further genetic resource enhancement approaches. Traits viz., fruit length, fruit weight, and number of fruits per plant exhibited a positive direct effect on fruit yield per plant, and thus these traits could be helpful during the selection process.
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Centre of Excellence in Millets, Tamil Nadu Agricultural University, Athiyandal, Thiruvannamalai, India