Legume Research
Web of Science
  • Year: 2024
  • Volume: 47
  • Issue: 9

Multivariate Analysis for Identification of Heat Tolerant Superior Chickpea (Cicer arietinum L.) Genotypes

  • Author:
  • Vikesh Tanwar1,*, Krishan Kumar1, Neeraj Kumar2, Kartik Madankar1, Pankaj1, Deepak Kaushik1, Ajeev Kumar2
  • Total Page Count: 7
  • Page Number: 1473 to 1479

1Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar-125 001, Haryana, India

2Department of Botany and Plant Physiology, CCS Haryana Agricultural University, Hisar-125 001, Haryana, India

*Corresponding Author: Vikesh Tanwar, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar-125 001, Haryana, India, Email: vikeshtanwar.60@gmail.com

Online Published on 20 November, 2024.

Abstract

Chickpea being a winter season crop, often experiences high temperature during its reproductive phase resulting in yield losses due to the direct effect of it, on different physiological processes. Therefore, identification and development of heat stress tolerant genotypes is an important aspect in chickpea breeding especially in view of the changing climate scenario.

An experiment was conducted during Rabi season 2017-18 at pulses research field, CCS HAU, Hisar, Haryana comprising 60 genotypes in randomized block design with three replications under two environmental conditions namely, normal and late sown to find out heat stress tolerant genotypes. A total of eleven morpho-physiological yield attributes noted down under both normal and late sown conditions and various multivariate statistical methods were used to find out tolerant chickpea genotypes.

The present study has led the understanding of many inter-related traits involved in the genetic variation of chickpea seed yield under normal as well as late sown conditions. This would certainly provide guidelines for selection of parents as well as effective selection of promising chickpea genotypes and also have paramount importance in formulating plant model for selection of segregating generations in chickpea breeding programmes for development of high yielding varieties.

Keywords

Chickpea, Correlation, Cluster analysis, Multivariate, PCA, Seed yield