PJB-2018-325
EVALUATION OF CHICKPEA GENOTYPES FOR GENETIC DIVERSITY THROUGH MULTIVARIATE ANALYSIS
MUHAMMAD TARIQ MAHMOOD
Abstract
Fifteen chickpea genotypes (Cicer arientinum L.) were evaluated for exploration of genetic diversity through principal component analysis and cluster analysis. Results regarding PCA revealed that three components i.e. PC1, PC2 and PC3 extracted more than 1 Eigen values which account for 50.5 %, 19.99 % and 15.86 % respectively in total variation and collectively share 86.15 % of total variation. Principle component analysis extracted higher loadings for yield kg ha-1, harvest index, pods plant-1, 100 seed weight, days to 50 % flowering and plant height exhibited most significant contributions to genetic variability among chickpea genotypes under study. Through cluster analysis, genotypes were distributed in three clusters on the basis of similarity in characters. Dendrogram was constructed on the basis of similarity by Euclidean distance among genotypes. Dendrogram depicted that members of cluster I and III are genetically most divergent. Data was evident that considerable genetic variation exists in chickpea genotypes in performance of various attributes under study and the genotypes may be utilized in chickpea breeding program.
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