Principal Component Analysis of Yield and Fibre-Related Traits in Cotton Genotypes

Principal Component Analysis of Yield and Fibre-Related Traits in Cotton Genotypes

Authors

  • Muzammil Mahboob Ur Rehman MSc Hons student, Department of Plant Breeding & Genetics, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan
  • Muhammad Mohibullah Assistant Professor, Department of Plant Breeding & Genetics, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan
  • Muhammad Mudasir MSc Hons student, Department of Plant Breeding & Genetics, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan
  • Irfan Ahmad Khan MSc Hons student, Department of Soil Science, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan
  • Nasr Ullah Khan Assistant Professor, Department of Plant Breeding & Genetics, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan
  • Rima Bibi MSc Hons students, Department of Plant Breeding & Genetics, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan
  • Riffat Mustansir MSc Hons students, Department of Plant Breeding & Genetics, Faculty of Agriculture, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan

Keywords:

Genetic, diversity, heritability, cluster, component, analysis

Abstract

Studies on principal component analysis of cotton genotypes for hereditary diversity by yield and related characters, including fibre quality attributes, were conducted at the Research Farm of the Plant Breeding and Genetics Department, Faculty of Agriculture, Gomal University, D I K, during the cotton crop season 2023. The trial was conducted to examine the impact of genetic variability in cotton accessions, using Principal Component Analysis (PCA), and to estimate heritability and genetic gain for fibre quality, yield, and associated factors in cotton germplasm. Sixty-four cotton germplasms were assessed in an RCB design with three replications. Statistics were documented for various yield and related attributes along with fibre quality attributes like plant height, monopodia, sympodia, and No. of bolls, weight, population, seed cotton produce, GOT, fibre length, strength, micronaire value, and uniformity index. Results revealed that estimations of genotypic and phenotypic quantity of difference were observed to be maximum and commonly similar to each other, whereas environmental quantity of variance was low, indicating that all evaluated traits were organized heritarily with a minute environmental impact. Heritability estimates were highest for all the studied attributes, depicting very little influence of the environment on these genotypes. Similarly, genetic advance was also maximum for all the evaluated attributes. Among the 14 principal components, 5 had eigenvalues greater than 1 and an aggregate variation of 78% for entirely evaluated traits. PC I and PC II contribute approximately 50 % of the aggregate variances. Sixty-four germplasms were organized into three clusters (1, 2, and 3) with an average similarity level of 79.83% among clusters. Baghdadi, CIM 622, Sitara 008, CEMB 66, Leader 5, Cyto 178, FH Lalazar, CRIS 600, AA 703, and Sitara 009 were assessed as heritably maximum varied genotypes which can be successfully used in the cotton development program in the future.

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Additional Files

Published

15-04-2025

How to Cite

Muzammil Mahboob Ur Rehman, Muhammad Mohibullah, Muhammad Mudasir, Irfan Ahmad Khan, Khan, N. U., Rima Bibi, & Riffat Mustansir. (2025). Principal Component Analysis of Yield and Fibre-Related Traits in Cotton Genotypes. International Journal of Agriculture Innovations and Cutting-Edge Research (HEC Recognised), 3(2), 26–35. Retrieved from https://jai.bwo-researches.com/index.php/jwr/article/view/114

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