Determination of Genetic Diversity in Greengram (Vigna radiata L. Wilczek)
Journal of Experimental Agriculture International · pp. 602–610 · Published 5 Aug 2024
10.9734/jeai/2024/v46i82742Abstract
The experiment was conducted in a Randomized Block Design with three replications during the Zaid season 2023 at field experimentation centre, Department of Genetics and Plant Breeding, Naini Agriculture Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Naini, Prayagraj, U.P. The aim of experimentation was to analyse genetic diversity present among green gram germplasms. Plant to plant distance was 10 cm and row to row distance was 30 cm. the data were recorded from randomly selected five plants for each genotypes for each replications for thirteen characters viz. days to 50% flowering, days to 50% pod setting, days to maturity, plant height (cm), number of primary branches, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, seed index (g), biological yield (g), harvest index and seed yield per plant (g). From the present investigation it was concluded that among 31 genotypes of greengram on the basis of mean performance 3 genotypes were found to be superior for seed yield per plant over check variety Samrat viz., IC-76569, IC-121220 and IC-119006. On the basis of Mahalanobis’ D2 statistics 31 genotypes of greengram were grouped into five clusters. Maximum numbers of 13 genotypes were included in cluster 1 followed by cluster 2 with 7 genotypes, cluster 3 with 5 genotypes, cluster 4 with only single genotypes in each cluster. The highest intra cluster D2 value was recorded for cluster 5 (43.09) with 5 genotypes followed by cluster 2 (30.45) with 7 genotypes. The maximum inter cluster value of 153.82 was recorded between cluster 3 and cluster 5. It was also reported that the characters like seed yield per plant, biological yield, number of pods per plant, number of clusters per plant, number of seeds per pod, pod length and harvest index contributed about 71.13% towards total divergence alone. Therefore, selection should be done based on these characters considering the diversity and genetic variability present in greengram.
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