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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 7, Special Issue 1 (2018)

Assessment of genetic divergence in Indian mustard (Brassica juncea L. Czern & Coss.) based on yield attributing traits

Author(s):

Veena Kumari Tudu, Arun Kumar and Varsha Rani

Abstract:
Genetic divergence was assessed in thirty genotypes of Indian mustard [Brassica juncea (L.) Czern & Coss.] using D2 statistics based on quantitative characters. Genotypes were grouped into seven clusters. Cluster I was the largest group accommodating twelve (12) genotypes followed by cluster III and cluster IV with seven genotypes in each, while clusters II, V, VI and VII accommodated only one genotype in each cluster. Cluster group means of characters revealed that genotypes accommodated under cluster IV have most of the desirable characters viz., number of primary branches per plant and secondary branches per plant, plant height, number of siliqua per plant, 1000 seed weight and average seed yield per plant. Days to 50% flowering contributed maximum towards divergence followed by number of secondary branches per plant, siliqua length, number of seeds per siliqua and 1000 seed weight.

Pages: 2093-2096  |  1276 Views  299 Downloads

How to cite this article:
Veena Kumari Tudu, Arun Kumar and Varsha Rani. Assessment of genetic divergence in Indian mustard (Brassica juncea L. Czern & Coss.) based on yield attributing traits. J Pharmacogn Phytochem 2018;7(1S):2093-2096.

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