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Science, Technology and Development Vol. 37 (4), 2018
Research Article
Exploration of Genetic Divergence and Performance of Morpho-Agronomic Traits of Chickpea
Ch. Muhammad Rafiq, Muhammad Tariq Mahmood, Mushtaq Ahmad, Imtiaz Ali, Muhammad Shafiq, Irfan Rasool, Abdul Latif and Muhammad Zubair
 
Abstract: Genetic diversity for morpho-agronomic traits among various strains of desi chickpea (Cicerarientinum L.) under moisture stress conditions was assessed at Gram Breeding Research Station, Kallurkot, Pakistan. D2 statistics, principal component analysis (PCA) and cluster analysis were employed for the purpose. Mean performance of attributes showed wide dispersion of data for range, coefficient of variation and standard deviation indicating presence of sufficient amount of genetic variation. Principal component analysis revealed six PCs, out of which, first two PCs expressed more than one Eigen value and explained 77.67% of total genetic variability. PCA revealed that maximum variation was contributed by 100 seed weight (28%), followed by grain yield (25%) and plant height (17%). Cluster analysis distinguished the strains in five clusters on the basis of similarity. Dendrogram was constructed, using Euclidean distance. Maximum Euclidean distance was observed in cluster-V in performance of morpho-agronomic traits. Relatively higher values for plant height, 100 seed weight and grain yield were observed in members of cluster-V, followed by cluster-I, indicating that the members of clusters-V and cluster-I possess the best constitution of morpho-agronomic traits exhibiting major contribution in genetic diversity. The study suggested that the members of these clusters have sufficient genetic diversity and they may be included in future chickpea breeding program.
 
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