Correlation and principal component analysis for study of yield improvement in chickpea genotypes in kashmir valley in north india

Author: 
Asma Hamid Mir., Humara Fayaz., Mohd. Ashraf Bhat., Aijaz A. Wani Parvaze A. Sofi and ReyazulRouf Mir

A total of 36 chickpea genotypes were evaluated to assess correlation and principal component analysis for seed yield per plant and its yield related characters. The seed yield per plant indicated highly significant and positive relationship with number of pods plant-1 (r = 0.820**), followed by plant height (r = 0.408**), days to flower bud initiation (r = 0.408**). A negative but significant correlation of seed yield plant-1 was found with hundred seed weight (r= -0.614**) and pod length (r=-0.395*) but non-significantly correlated with days to pod formation, days to maturity, no of seeds per pod and pod width.The results of the principal components analysis showed that the first three principal components with eigenvalue greater than one explained 77% of the total variation among genotypes (table 2). The first principal component was associated with traits related to productivity while as second principal component was associated with traits related to maturity. The results indicated that potential candidate traits for breeding materials could be obtained from genotypes in first and second principal components. The results evidently indicate that late flowering, late podding, and late maturity could be contributed for more number of pods plant-1 and hence, seed yield plant-1. And these traits can be encouraged for determination for higher seed yielding varieties in chickpea.

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