Genetic diversity for fruit morphological and biochemical characters of indigenous mango (Mangifera indica L.) cultivars of coastal districts in Andhra Pradesh using principal component analysis

  • A. Himabindu, D. Srihari, M. Rajasekhar, V. Sudhavani, P. Subbarammamma, K. Uma Krishna and M. Paratpara Rao Dr. Y.S.R Horticultural University,
Keywords: Cluster, Genetic divergence, Mango, Principal component analysis

Abstract

An experiment was conducted at Horticultural research station, Venkataramannagudem, Andhra Pradesh to analyze the genetic diversity among thirty four cultivars using principal component analysis for thirty quantitative characters in mango. In the present investigation, the first seven principal components with eigen values more than one contributed to 82.04 per cent of cumulative variability among the 34 mango cultivars. The thirty four mango cultivars were grouped into 6 clusters. Among all the clusters, clusters I was the largest containing 19 cultivars followed by the cluster II with 8 cultivars, cluster III, IV and V with 2 cultivars each and cluster VI was mono genotypic. The mutual relationships between the clusters revealed that inter-cluster distance values were greater than intra-cluster values. The intra-cluster D2 values ranged from 0.00 (Cluster VI) to 4253.23 (Cluster IV). The inter-cluster D2 values varied from 1445.00 (between cluster I and II) to 17367.81 (between cluster III and VI). The high intra and inter cluster distances indicating the presence of substantial amount of genetic diversity in the genetic material.

Author Biography

A. Himabindu, D. Srihari, M. Rajasekhar, V. Sudhavani, P. Subbarammamma, K. Uma Krishna and M. Paratpara Rao, Dr. Y.S.R Horticultural University,
Assistant professor
Published
22-10-2017
How to Cite
A. Himabindu, D. Srihari, M. Rajasekhar, V. Sudhavani, P. Subbarammamma, K. Uma Krishna and M. Paratpara Rao
Genetic diversity for fruit morphological and biochemical characters of indigenous mango Mangifera indica L. cultivars of coastal districts in Andhra Pradesh using principal component analysis. 2017. Electronic Journal of Plant Breeding, 8 3, 772-778. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/1724
Issue
Vol 8 No 3 (2017)
Section
Research Article

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