Principle Component Analysis (PCA) of Wheat Genotypes Concerning Morphological Responses to Heat Stress

Abstract

This study was conducted at Dev Bhoomi Uttarakhand University in Dehradun, India, with three replications using the Randomized Block Design (RBD) pattern to assess morphological responses to stress conditions in eight wheat genotypes (PBW-550, PBW-343, PBW-292, RAJ-3765, HD-2967, HD-3086, and NABI MG {BLACK WHEAT}. Wheat genotypes were subjected to Principle Component Analysis (PCA) during the investigation. The 1st principal component accounted for 47.2689% of the total variance (PC1). The second main component (PC2) contributed 24.6007% of the total variance. The 3rd main component was responsible for 16.3402% of the overall variance (PC3). The fourth main component accounted for 8.3215 percent of the total variance (PC4). The ratio between the four major components to overall variance was 96.5311%. In the principal component, FLA had the largest positive component loading (0.294), followed by PH (0.038). There are six variables with the largest negative connection with this component: PL (-0.117), NPT (-0.319), DTH (-0.469), DTF (-0.477), DTM (-0.479), and GY (-0.346). The genotypes utilized in the study exhibit significantly different morphological responses. For breeders who additionally aspire to create variation, this is important, and it is a beneficial approach to use such genotypes as genitors in breeding studies.