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Vol. 10, Issue 7 (2021)

Genetic diversity and principal component analyses for yield and yield components of advanced lines of wheat (Triticum aestivum L.)

Author(s):
Juhi Pandey, RM Tripathi, Aman Singh, Vinod Singh and Upendra KU Mishra
Abstract:
The present research work comprises eighty-four advanced lines of wheat including checks, conducted at Main Experimental Station Research Farm of Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) during Rabi 2019-20. The genotypes were evaluated in Augmented Block Design for character association and genetic divergence analysis, divided into 5 blocks of equal size. Each block had 20 plots of test entries along with 4 checks (viz. HD-2967, HD-2733.NW-5054 and DBW-187). The presence of genetic divergence among these lines was observed by Mahalanobis’s D2 statistic. All the accesses were grouped into ten distinct clusters. The highest number of genotypes appeared in cluster III (16) followed by cluster X (14) and cluster V (12) while the lowest numbers of entries were reported in cluster VIII (3) & IX (4). Principal component analysis (PCA) indicated that the five principal components (PC1 to PC5) showed 85.8% of the total variability. PC1 to PC3 related to yield and its attributing traits, whereas PC4 was related to reproductive development.
Pages: 998-1003  |  464 Views  243 Downloads


The Pharma Innovation Journal
How to cite this article:
Juhi Pandey, RM Tripathi, Aman Singh, Vinod Singh, Upendra KU Mishra. Genetic diversity and principal component analyses for yield and yield components of advanced lines of wheat (Triticum aestivum L.). Pharma Innovation 2021;10(7):998-1003.

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