Principal Component and Diversity Metrics on Biochemical, Yield and its Attributing Traits of Oat Genotypes

Authors

  • Bhoomika Dept. of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India
  • Satyawan Arya Dept. of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India
  • Ravish Panchata Dept. of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India
  • K. Neeraj Dept. of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India
  • Axay Bhuker Dept. of Seed Science and Technology, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India
  • Sachin Dept. of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India https://orcid.org/0009-0002-2680-4544
  • Sonu Langaya Dept. of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (125 004), India

DOI:

https://doi.org/10.23910/1.2026.6398

Keywords:

Principal components, cluster analysis, genetic variability, genetic divergence

Abstract

The present study was conducted during rabi November–February, 2022 at Forage Research Area, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana, India to to assess the genetic diversity and variability among different oat genotypes. Fifty (50) elite Oat genotypes was grown were grown with three replications in a randomised block design (RBD). The 16 morpho-physiological and biochemical observations were recorded in five randomly selected plants of each genotype across all three replications and the data were analysed. The diverse genotypes were clustered into six groups. Higher inter-cluster distances as compared to intra-cluster distances indicated greater homogeneity within clusters and cluster I exhibited the highest intra-cluster distance. Maximum inter-cluster distances were observed between clusters I and II, whereas the smallest distance was between clusters II and IV. Crosses among genotypes from Clusters I and II likely to produce novel recombinants due to the high degree of divergence. Six principal components (PCs) had eigenvalues greater than one, contributing to 72.61% of the variability. From the PCA and cluster analysis it was inferred that the genotypes RO 19, HFO 1123, PLP-27, HFO 806, HFO 1222 and HFO 1003 could be used for green fodder yield, whereas UPO-20-3, HFO-1003, HFO 806 for seed yield plant-1.

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Published

2026-01-22

How to Cite

1.
Bhoomika, Arya S, Panchata R, Neeraj K, Bhuker A, Sachin, et al. Principal Component and Diversity Metrics on Biochemical, Yield and its Attributing Traits of Oat Genotypes. IJBSM [Internet]. 2026 Jan. 22 [cited 2026 Jan. 24];17(Jan, 1):01-9. Available from: https://ojs.pphouse.org/index.php/IJBSM/article/view/6398

Issue

Vol. 17 No. Jan, 1 (2026)

Section

Articles

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Copyright (c) 2026 Bhoomika, Satyawan Arya, Ravish Panchata, K. Neeraj, Axay Bhuker, Sachin, Sonu Langaya

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