1ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132 001, Haryana
Department of Genetic & Plant Breeding, Janta Vedic College, Baraut, Baghpat-250 611, Uttar Pradesh, India
*Corresponding author's e-mail: devmani.bind@gmail.com
Online published on 5 December, 2015.
Mahalanobis D2 statistics was used to assess genetic diversity in thirty brassica genotypes. Based on thirteen characters the genotypes were grouped into 7 clusters. Cluster I had largest number of genotypes (7) followed by cluster III, IV, VII, VI, V and II. Maximum intra cluster divergence was found in cluster III, cluster IV and maximum inter cluster distance was found in cluster V and cluster VI which indicates that efficient breeding programme can be formulated to improve yield potential by hybridization in this set of genotypes. Moderate magnitude of broad sense heritability coupled with genetic advance, phenotypic and genotypic coefficients in respect of number of branches, main shoot length, main shoot height, length of siliqua, number of seeds per siliqua and yield per plant indicates the scope for selection of superior genotypes due to preponderance of additive gene action.
Agro-morphological characters, Cluster analysis, Mustard, Variability