Indian Journal of Ecology
Web of Science
  • Year: 2026
  • Volume: 52
  • Issue: 2

Genetic Diversity Based on Principal Component Analysis for yield and its Contributing Character in Linseed (Linum usitatissimum L.)

  • Author:
  • Ashok Kumar Meena1*, Sandhya1
  • Total Page Count: 5
  • Page Number: 364 to 368

1Department of Genetics and Plant Breeding, College of Agriculture, Ummedganj, Agriculture University, Kota-324 001, India

*E-mail: akmeena015@gmail.com

Abstract

A field experiment was carried out to determine the principal component among eleven traits of linseed using 36 genotypes along with three checks. The data of eleven traits were recorded and analyzed to find out principal component to reveal the diversity among the linseed genotypes. the first five principal components exhibited more than one eigen values and consider for 70.60% of the total variation that consist of 20.56% (PC 1), 16.75% (PC 2), 11.87% (PC 3), 11.42% (PC 4) and 10.10% (PC 5) for eleven traits. PC I contributed maximum towards the variability (20.57%) followed by PC II (16.75%) and PC III (11.87%). The genotypes 180513 along PCA I axis and RL-15580 along PCA II axis identified on extreme positive side on both the axis were ponder to be the superior genotypes PC1 contributed the maximum towards the total variability (20.56%). The characters viz., days to maturity, number of primary branches per plant, number of capsules per plant, number of seeds per capsule clarify the maximum variance in PC1. This study helps to the characterization, reduction of overlap in the data collection and evaluation of genetic diversity in linseed.

Keywords

Diversity, Eigen values, Linseed, Principal component analysis, Scatter plot