Genetic diversity and principal component analyses for yield, yield components and quality traits of advanced lines of wheat

Abstract

The present research work comprises sixty advanced lines of wheat, collected from Wheat Improvement Project, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur. These genotypes were evaluated in a randomized complete block design (RCBD) with three replications at Seed Breeding Farm, Department of Genetics and Plant Breeding, College of Agriculture, Jabalpur during Rabi 2016-17. The presence of genetic divergence among these lines was observed by Mahalanobis’s D2 statistic. All the accesses were grouped into five distinct clusters. The highest number of genotypes appeared in cluster I (45) followed by cluster III (8) and cluster IV (5) while the lowest numbers of entries were reported in cluster II (1) & V (1). Principal component analysis (PCA) indicated that the seven principal components (PC1 to PC7) showed 66.22% of the total variability. The highest value of yield and its attributing traits were present in PC3, PC2, and PC1 respectively, whereas PC4 & PC7 were related to quality traits.