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Authors
Affiliations
1 Department of Genetics and Plant Breeding, Allahabad School of Agriculture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad (U.P.), IN
Source
Asian Journal of Bio Science, Vol 11, No 1 (2016), Pagination: 77-84
Abstract
To discriminate maize inbred lines based on morpho-physiological and yield traits using D2 statistics and principal component analysis (PCA), fifty five genotypes available at Department of Genetics and Plant breeding, Sam Higginbottom Institute of Agriculture Science and Technology, Allahabad were tested during Rabi 2013-14 under irrigation condition in Randomized Block Design with three replications. Analysis of variance revealed significant differences for 18 characters studied among the genotypes. The D2 statistics displayed that cluster I, being largest group, comprises 37 maize genotypes followed by cluster II (13), III (3), IV (1) and V (1). The maximum intra-cluster distance was obtained for cluster I (624.35) while cluster IV and V showedNull values for it indicating homogeneous nature of the genotypes within the cluster. Further more, maximum inter-cluster distance was recorded between cluster IV and V (22331.82) followed by clusters III and V (15174.83) and clusters II and IV 14480.99). D2 statistics and principal component analysis (PCA) emphasized that days to 50 per cent tasseling, silking and maturity, anthesis-silking interval, seed fill duration, cob weight, 100 seed weight and grain yield/plant were major contributing traits for total genetic diversity. Research results indicated that the inbreds under study are highly diversified and hence, high heterotic hybrids would be resulted through the crossing of diverse lines clubbed under different clusters as parent in any breeding programme aimed to enhance grain yield.
Keywords
D2 Statistics, Heritability, Genetic Advance, PCA.
