2014BIOINFOLET - A Quarterly Journal of Life SciencesRequires access

Genetic divergence studies in bread wheat (Triticum aestivum L.) Genotypes

Gazala H. Khan, Rakesh Vaishnavi, Gulzar S. Sanghera

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Abstract

Analysis of variance revealed significant differences for all the traits indicating diversity among the genotypes. Genetic divergence analysis was done based on multivariate analysis using Mahalanobis's D2 statistic, which grouped 25 genotypes into 8 clusters, with cluster I having maximum number of genotypes (10). Maximum inter cluster distance was observed between clusters VII and IV (998.33). The maximum intra cluster distance was observed in cluster III (113.29). Highest per cent contribution to divergence was due to grains spike−1, yield plot and plant−1 height.

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What this paper is about

Analysis of variance revealed significant differences for all the traits indicating diversity among the genotypes. Genetic divergence analysis was done based on multivariate analysis using Mahalanobis's D2 statistic, which grouped 25 genotypes into 8 clusters, with cluster I having maximum number of genotypes (10). Maximum inter cluster distance was observed between clusters VII and IV (998.33). The maximum intra cluster distance was observed in cluster III (113.29). Highest per cent contribution to divergence was due to grains spike−1, yield plot and plant−1 height.

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Available abstract

Analysis of variance revealed significant differences for all the traits indicating diversity among the genotypes. Genetic divergence analysis was done based on multivariate analysis using Mahalanobis's D2 statistic, which grouped 25 genotypes into 8 clusters, with cluster I having maximum number of genotypes (10). Maximum inter cluster distance was observed between clusters VII and IV (998.33). The maximum intra cluster distance was observed in cluster III (113.29). Highest per cent contribution to divergence was due to grains spike−1, yield plot and plant−1 height.

Key concepts: Mahalanobis distance, Genetic divergence, Divergence (linguistics), Cluster (spacecraft), Genetic diversity, Biology, Statistic, Multivariate statistics

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