Inquisition on principal component and K- mean clustering analysis for yield and its contributing traits of bread wheat (Triticum aestivum L.)

DOI:10.37992/2025.1602.029

  • Rishabh Singh,
  • Vijay Kumar Yadav,
  • Prem Kumar,
  • Shivanshu Shekhar, Vaibhav Chauhan and Amit Kumar

Abstract

An experiment was conducted to assess genetic diversity via K cluster and principal component analysis (PCA) for yield and its contributing characters in 41 bread wheat genotypes at Crop Research Farm, Nawabganj, Chandra Shekhar Azad University of Agriculture & Technology, and Kanpur (U.P.) during Rabi season 2020-21. K- Clustering statistics was used to analyse the genetic divergence in the present group of material. All the 41 genotypes were classified into seven clusters.  Cluster I comprised of ten genotypes, cluster II comprised of eight genotypes, cluster III of ten genotypes, clusters IV, V and VI consisted of two genotypes while cluster of VII had seven genotypes. Cluster-VII ranked first in days to maturity, productive tiller per plant, ear length and 1000 seed weight (gm). The maximum contribution towards the expressions of genetic divergence was exhibited by grain yield per plant (30.73%) followed by plant height  (31.59%), chlorophyll content (13.41), number of spikelets per spike (6.95%), 1000 grains weight (5.73%), days to 50% flowering (4.63%), ear length (4.36%), days to maturity(1.83%) and number of grains per spike (0.61).  Cluster I and VI are most desirable for breeding programme for creating the desired variability and the genotypes in these clusters deserve due consideration for improvement of traits like chlorophyll content, plant height and spike length. The outcomes of this study can contribute to the strategic development of wheat breeding initiatives aimed at exploiting heterosis.

Keywords: Wheat, PCA, genetic diversity, cluster analysis, grain yield.

Published
04-07-2025
How to Cite
Rishabh Singh, Vijay Kumar Yadav, Prem Kumar, Shivanshu Shekhar, Vaibhav Chauhan and Amit Kumar

Inquisition on principal component and K- mean clustering analysis for yield and its contributing traits of bread wheat Triticum aestivum L.

. 2025. Electronic Journal of Plant Breeding, 16 2, 234-240. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/5276
Section
Research Note