Assessment of genetic divergence using Mahalanobis D2 analysis in mango


  • G Indian
  • R Sankaranarayanan
  • S Murugesan
  • J Rajangam


Mango, fruit yield components, D2 analysis, genotypes


Different genotypes are to be classified into clusters based on genetic diversity for any plant improvement programme. Further the extent of genetic divergence between them needs to be estimated. D2 statistics is one of the powerful tools to assess the relative contribution of different component traits to the total diversity, to quantify the degree of divergence and to choose genetically diverse parents for obtaining desirable recombinants. The present study was conducted at Horticultural College and Research Institute (Tamil Nadu Agricultural University), Periyakulam during 2017-18 on 27 genotypes of mango for genetic divergence with respect to forty six yield contributing traits. The analysis of variance exhibited significant differences among genotypes for all the forty six characters studied. Twenty seven genotypes were grouped into six clusters. The cluster size varied from single genotype (cluster III and VI) to thirteen genotypes (cluster I). Cluster II and IV had three genotypes each. Cluster V consisting of six genotypes. No relationship between geographic and genetic diversity was revealed as genotypes from same geographic area fell in different clusters and vice versa. The intercluster distances were more than intracluster distances. The highest intercluster distance was observed between cluster II and III followed by clusters II and IV. The other intercluster distances were of low magnitude. Hence crossing between genotypes of cluster II with those from cluster III and IV will be rewarding. Based on intercluster distances and cluster mean for different characters, parents were identified which upon crossing may yield desirable recombinants.


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Barhate SG, Balasubramanyan S, Bhalerao RR & Bhalerao PP. 2012. Genetic diversity in mango (Mangifera indica L.) genotypic and phenotypic characterization. International Journal of Plant Science, 7 (1): 85-89.
Barholia AK & Yadav S. 2014. Divergence for fruit characters in mango (Mangifera indica L.). African Journal of Agriculture Science & Technology, 2(2): 65-67.
Clemilton AS, Adriel LN, Jeferson PF , Omar S, Renan GM, Rodrigo SA, Geraldo AF & Edilson RS. 2017. Genetic diversity among papaya accessions. African Journal of Agricultural Research, 12(23): 2041-2048.
Crossa J, DeLacy IH & Taba S. 1995. The use of multivariate methods in developing a core collection. In: Core Collections of Plant Genetic Resources (Eds. Hodgkin T, Brown AHD, TJL van Hintum & Morales EAV.) John Wiley & Sons, New York, USA. pp. 77-89.
Mahalanobis PC. 1936. On the generalized distance in statistics. Proceeding of National Institute Science, India 12: 49-55.
Manchekar MD, Mokashi AN, Hegde RV, Venugopal CK & Byadgi AS. 2011. Clonal variability studies in Alphonso mango (Mangifera indica L.) by genetic divergence (D2) analysis. Karnataka Journal of Agricultural Sciences, 24(4): 490-492.
Murty BR & Arunachalam V. 1966. The nature of genetic diversity in relation to plant breeding system in crop plants. Indian Journal of Genetics, 26: 188-98.
Raina D, Dhillon WS, Gill PPS & Singh NP. 2015. Assessment of genetic divergence using Mahalnobis D2 and principal component analysis of qualitative and quantitative characters in pomegranate genotypes under subtropics. Indian Journal of Horticulture, 72(4): 451-456.
Rajan S, Yadava LP, Kumar R & Saxena SK. 2007. Genetic divergence in seed characteristics of guava: A basis for parent selection in hybridization. Indian Journal of Horticulture, 64(3): 290-293.
Rao CR. 1952. Advanced statistical methods in biometrical research. John Wiley and Sons, Inc, New York.
Sharma G, Sharma N, Bashir R, Khokhar A & Jamwal M. 2013. Genetic divergence and cluster analysis studies of different apple genotypes using D2 statistics. African Journal Agricultural Research, 8(37): 4681-4685.
Shazia H, Bhat KM & Rehman HU. 2017. Assessment of Genetic Variability of Wild Apple (Malus sp.) Genotypes in Kashmir Valley. International Journal of Plant & Soil Science, 14(5): 1-12.
Yonemori K, Honsho C, Kanzaki S, Eiadthong W & Sugiura A. 2002. Phylogenetic relationships of Mangifera species revealed by ITS sequences of nuclear ribosomal DNA and a possibility of their hybrid origin. Plant Systems Evolution, 231: 59-75.
Anusuya R, Vijayakumar RM, Srividhya S & Sivakumar R. 2018. Comparison of physiological and flowering parameters of main and off season by using different plant nutrients and growth hormone in mango (Mangifera indica L.) cv. Bangalora. Journal of Agriculture and Ecology, 5: 76-82.
Kumar K, Srivastav M, Singh SK & Vinod 2016. Ascertaining hybridity of progenies in mango (Mangifera indica L.) using microsatellite (SSR) markers. Journal of Agriculture and Ecology, 2: 1-10.




How to Cite

Indian, G., Sankaranarayanan, R., Murugesan, S., & Rajangam, J. (2019). Assessment of genetic divergence using Mahalanobis D2 analysis in mango. Journal of Agriculture and Ecology, 7(7), 38–46. Retrieved from