Multivariate Hierarchical Diversity Analysis of Chrysanthemum (Dendranthema grandiflora Tzvelev) Genotypes

Author: Sonia Singh*, A.K. Godara and Ajay Verma

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Abstract

ABSTRACT: Chrysanthemums have beautiful flowers with high ornamental value and rich genetic diversity. Usually univariate analytic tools utilized for diversity analysis. Thirty genotypes of Chrysanthemum were characterized based on multivariate hierarchical tools in present study during 2019 and 2020 cropping season at research farm of CCS Haryana Agricultural University, Hisar. Flower yield per plant expressed by Pusa Guldata followed by Pusa Shwet, Pusa Chitrksha whereas low yielders were Bicolor Aruba, Garden Beauty, Papaya Clever. Mostly significant positive correlation coefficient values had observed of flower yield per plant trait with Number of flowers per plant, number of buds per plant, Fresh weight of plant, dry weight of plant, plant spread whereas negative correlations of low magnitude were seen with stalk length, stem diameter, dry weight of flower. Four clusters of genotypes had been observed by multivariate hierarchical approach with 13.3, 40, 16.7 and 30 percent of tota

Keywords

Keywords: Chrysanthemum, multivariate hierarchical, correlation and biplot analysis.

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