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Research Article Open access CC BY 4.0

Genetic Divergence Studies in Ailanthus excelsa Using D2 Analysis

S. Umesh Kanna, N. Krishnakumar, K. Md. Mohideen Abdul Kather Jailani

International Journal of Environment and Climate Change · pp. 416–424 · Published 6 Aug 2019

10.9734/ijecc/2019/v9i730126

Abstract

Aims: To estimate the genetic diversity studies among the biometric attributes of 30 progenies in Ailanthus excelsa Roxb. Place and Duration of Study: The study has conducted at Forest College and Research Institute, TNAU, Mettupalayam during 2015-2018. Methodology: The D2 statistics was adopted for the estimation of genetic divergence. Using D2 statistical results, the clustering of progenies was done. The progenies were grouped into different clusters using ‘GENERES’ statistical package on the basis of D2 values according to Tocher’s method as suggested by Rao. Results: The 30 progeny of Ailanthus excelsa has grouped into nine clusters and among the nine clusters, the cluster IV has ten progenies. The maximum intra cluster distance was exhibited by the cluster VIII followed by cluster IV. The maximum inter cluster distance was in cluster III which indicated the presence of wider genetic distance between Ailanthus excelsa progenies. Among the growth attributes, volume index contributed maximum percentage towards genetic divergence. Conclusion: The results of 30 progeny of Ailanthus excels showed the presence of wider genetic distance between Ailanthus excelsa progenies.

Ailanthus excels biometric attributes genetic resources diversity genetic distance D2 clustering.

Cited by 1

Genetic divergence and correlation estimates for quantitative traits in Salix

Gaurav Palial, S. Thakur, Rajni Sharma · Acta Physiologiae Plantarum · 2023

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