Principal Component Analysis in  advanced breeding lines of oat (A. sativa × A. sterilis)

  • Nagesh Dattatray Bichewar, A. K. Mehta,
  • Kadthala Bhargava and S. Ramakrishana

Abstract

One hundred advanced oat lines involving two checks were assessed for genetic variability and diversity based on 15 agro-morphological traits by using principal component analysis. Only four out of 19 principal components (PCs) exhibited more than one eigen value and 71.42 % variability. PC-1 accounted for 47.28 % of overall variability followed by PC-2, which exhibited 9.05% variability while PC-3 and PC-4 accounted for  8.15% and 6.95% variability respectively. PC3 contains most of the traits that contributes significantly to the yield hence, lines from PC3 can be selected for rapid improvement of yield. Based on PC scores, genotypes JO (IS) 12-4-9, JO (IS) 12-5-5, JO (IS) 12-5-14, JO (IS) 12-6-19, JO (IS) 12-8-2, JO (IS) 12-8-4, JO (IS) 12-8-5, JO (IS) 12-8-11 and JO (IS) 12-8-18 are the major sources of variation in the oat population and this information would be useful for selecting potential inbred lines for future oat improvement programme.

Keywords: Inbreds, Principal Component Analysis (PCA) and Oat.

Published
30-06-2023
How to Cite
Nagesh Dattatray Bichewar, A. K. Mehta, Kadthala Bhargava and S. Ramakrishana

Principal Component Analysis inandnbsp; advanced breeding lines of oat A. sativa × A. sterilis

. 2023. Electronic Journal of Plant Breeding, 14 2, 711-716. Retrieved from https://www.ejplantbreeding.org/index.php/EJPB/article/view/4527
Issue
Vol 14 No 2 (2023): EJPB
Section
Research Note

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