Study of Genetic Diversity in Okra [Abelmoschus esculentus (L.) Moench]
Singh B.*, Goswami Aakansha, Vaishali1
Department of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250110
1Department of Agriculture Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250110 (UP)
*Corresponding author: B. Singh, Department of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut-250110 Email: firstname.lastname@example.org
Study of morphological and molecular diversity in landrace collections was carried out during February, 2016. Germplasm collections of all the 50 diverse genotypes of okra were analysed at morphological and molecular level. Analysis of variance with respect to all ten traits of all genotypes revealed that mean sum of squares is highly significant for different characters. The phenotypic co-efficient of variation (PCV) were higher than those of genotypic co-efficient of variation (GCV). 30 SSR primers in order to determine genetic diversity, resolving power, marker index, PIC value and genetic relationships. Similarity value for all the 50 genotypes of okra ranged from 0.573 to 0.984. The lowest similarity was displayed by VRO-6 and PK highest. Out of these samples analyzed, genotypes FB-10 and Azad Bbhindi-1 displayed the greatest genetic similarity, with a similarity coefficient value of 0.0.984. All genotypes were distributed into nine distinct clusters. Cluster analysis clearly showed the genetic diversity among the genotypes under study. Cluster-3 includes 8 genotypes this cluster have maximum genotypes. The maximum diversity expressed genotypes may be exploited by effective crossing between these genotypes to obtain desirable segregates for further selection of superior lines in early stages of crop growth itself by exploiting the genetic distance from molecular marker data which helps to identify genotypes for mapping populations and also to identify molecular markers linked to desirable traits by marker assisted selection (MAS). The present study reveals that PCR based techniques as SSR is effective, promising and informative for estimating the extent of genetic diversity as well as determine the pattern of genetic relationships between different genotypes of A. esculentus, with polymorphism levels sufficient to establish informative fingerprints with relatively fewer primer sets. These genotypes were found to be quite distinct and it can be used for its desirable characteristics for further breeding programmes.