Assessment of genetic and geographic divergence in linseed (Linum usitatissimum L.) genotypes.

International Journal of Agriculture & Environmental Science

© 2020 by SSRG - IJAES Journal

Volume 7 Issue 4

Year of Publication : 2020

Authors : Nalini Tewari, Achila Singh, M.F. Husain

10.14445/23942568/IJAES-V7I4P107

How to Cite?

Nalini Tewari, Achila Singh, M.F. Husain, "Assessment of genetic and geographic divergence in linseed (Linum usitatissimum L.) genotypes.," SSRG International Journal of Agriculture & Environmental Science, vol. 7,  no. 4, pp. 48-53, 2020. Crossref, https://doi.org/10.14445/23942568/IJAES-V7I4P107

Abstract:

Mahalanobis D² statistic was used to study the genetic diversity between and within the seventythree genotypes of linseed (Linum usitatissimum L.).
Analysis of variance indicated highly significant differences among the genotypes for all the traits indicating the presence of adequate variability and
the possibility to undertake cluster analysis. By adopting Tocher’s technique, the 73 genotypes were grouped into 7 clusters, where cluster II was the largest containing 17 genotypes followed by cluster VII and V with 12 genotypes. The inter-cluster distance was maximum between cluster I and VI (
25.593), which indicated that the genotypes included in these clusters could give a high heterotic response and thus better sergeants. The maximum cluster mean was revealed by cluster VI for days to 50% flowering, the number of primary branches per plant, and the number of secondary branches per plant. Cluster VII showed the highest value for days to maturity, the number of seeds per capsule, and 1000- seed weight.
Among the ten traits studied, days to 50% flowering contributed the most (28.99%) followed by seed yield per plant (20.85%) towards the divergence of
genotypes.

Keywords:

cluster, D², genetic divergence, genotypes, linseed

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