Author(s):

Garima Vaishnav, RS Shukla and Suneeta Pandey

Abstract: An experiment was carried out to access principal component analysis (PCA) for yield and its attributing traits with 30 genotypes including 5 checks viz., MP 3288, MP3336, MP 3382 GW322 and JW3211 sown in RBD design with three replications at JNKVV research farm during Rabi 2017-18. Out of 19, only seven principal components (PCs) exhibited more than 1.0 eigen value and showed 76.84% variability among the traits studied. The first principal component accounted for highest variation with trait number of tillers per plant, number of ear per plant, biological yield per plant, grain yield per plant, canopy temperature and protein percent. The result of PCA revealed that PC1 contributed highest variation 18.78% followed by 15.47% (PC2). 10.63% (PC3), 10.03% (PC4), 7.98% (PC5), 7.46% (PC6) and 6.46% (PC7) respectively. Maximum variation was found in PC1 and PC2, therefore selection of lines for characters under PC1 and PC2 may be desirable. The result of present study could be exploited in planning and execution of future breeding programme in wheat.

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