Principal component analysis in maize land races (Zea mays L.) under irrigated and
moisture stress conditions

Byadmin

Sravani D*1 , Sumalini K 2 , Pandarwara3 , Usharani G1 , Vanisri S4 , Madhukar Rao P5 , Rajinikanth, E6 , Vijaybhaskar, A 7 , Manjulatha, G5

Abstract:

In the present study, 18 genotypes of maize were evaluated under irrigated and moisture stress conditions in RBD during the post rainy season 2021-22 at ARS, Karimnagar to estimate the contribution of fourteen quantitative traits to the total variability through Principal component analysis. Out of fourteen , five principal components (PCs) exhibited greater than 1.00 Eigen value under irrigated and moisture stress conditions, and explained 87.05% and 91.44% cumulative variability under irrigated and stress conditions, respectively. The PC1 displayed 31.20% and 51.72% up to PC2 and PC3 51.33% , 65.71 and 68.21%, 77.49% cumulative variability was observed among the landraces under irrigated and stress conditions, respectively. The first principal component PC1 was positively contributed mainly by two characters viz., Shelling % and SPAD Chlorophyll content under both conditions. The second principal component PC2 was contributed mostly by grain yield plant-1 and yield attributing traits i.e.ear length, ear diameter , number of kernel rows ear-1, number of kernels row-1 and thousand kernel weight. Based on principal component analysis the landraces IC 611609 and IC 627707 had maximum contribution for yield attributing traits. This study will identify variability contributing parameters and selection of suitable genotypes for breeding and utilization in maize improvement for yield attributing traits.

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