Author(s):

Bhawana Sharma, Priyanka Biswas and Mangla Parikh

Abstract: Principal component analysis was utilized to examine the variation in 225 rice genotypes and to estimate the relative contribution of various yield and lodging resistant characters for total variability. The PC1 showed 22.155%, while, PC2, PC3, PC4, PC5, PC 6, PC 7 and PC 8 exhibited 11.941%, 10.012%, 7.590%, 7.125%, 6.190%, 5.038% and 4.782% variability. Principal component analysis highlights the characters with maximum variability. The results revealed that PC1 and PC2 yield and yield attributing traits while PC3, PC 4, PC 5, PC6 and PC 7 exhibited better performance in yield, low lodging incidence with good diameter of basal internodes. Bashabhog, IC 299800, Ganga Godavari, RAU 3061, Assamchudi (A179 II), Pratiksha, IC 300381, IC 125666 (Deshi safri) were identified for developing high yielding varieties. Kolijoha exhibited better performance in yield, low lodging incidence with good diameter of basal internodes. Likewise IC 125666 (Chhote dubraj) has relation with high yield and low lodging incidence traits.

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