Multivariate analysis in green gram [Vigna radiata (L.) Wilczek] 

DOI: 10.18805/lr.v38i6.6720    | Article Id: LR-3152 | Page : 758-762
Citation :- Multivariate analysis in green gram [Vigna radiata (L.) Wilczek] .Legume Research-An International Journal.2015.(38):758-762

Suhel Mehandi, I.P. Singh1, Abhishek Bohra1 and Chandra Mohan Singh

suhelgpb@gmail.com
Address :

Department of Genetics and Plant Breeding, Sam Higginbottom Institute of Agriculture, Technology and Sciences (Deemed to -be- University), Allahabad- 211 007, India.

Abstract

The present study was undertaken to perform the multivariate analysis in green gram using twenty-one green gram genotypes. The extent of genetic divergence revealed that these genotypes could be grouped into ten and five clusters, following Tochers and non-hierarchical Euclidian clustering methods, respectively. Based on the maximum diversity obtained in Tochers method genotype KM 10-1064 of cluster V and genotypes KM 10-1046, KM 10-1059 and KM 10-1070 of cluster VI were found suitable for improving the plant structure, whereas concerning high diversity along with high trait contribution towards total divergence, the clusters KM 10-1064 of cluster V and KM 10-1042 of cluster VIII were found to be appropriate for hybridization. The genotype KM 10-1068, which represents the mono genotypic cluster in case of both the clustering methods signifies that it could be the most diverse from other genotypes and it would be the suitable candidate for hybridization with genotypes present in other clusters to tailor the agriculturally important traits and ultimately, to enhance the seed yield in green gram.

Keywords

Euclidean clustering Genetic divergence Green gram Principal Component Analysis.

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