Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2022
  • Volume: 82
  • Issue: 4

Assessment of extra early field pea (Pisum sativum L.) genotypes performance using GGE biplot

  • Author:
  • Ashok K. Parihar*, Deepak Singh1, Amrit Lamichaney, Anil K. Singh, Girish P. Dixit
  • Total Page Count: 8
  • Page Number: 440 to 447

1ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110 012, India

ICAR-Indian Institute of Pulses Research, Kanpur-208024, Uttar Pradesh, India

*Corresponding Author: Ashok Kumar Parihar, ICAR-Indian Institute of Pulses Research, Kanpur-208024, Uttar Pradesh, India, E-Mail: ashoka.parihar@gmail.com

Online published on 9 August, 2023.

Abstract

Extra earliness in terms of flowering and maturity coupled with higher grain yield is an ultimate strategy for field pea promotion in short-season environments and to escape prevailing terminal stresses. Therefore, the development of stable, extra early and high-yielding genotypes has been the focus of the field pea breeding program. The study aimed to understand the role of genotype, environment, and their interaction in the performance of extra-early genotypes. The integration of GGE biplot analysis and multiple comparison tests detected that a higher proportion of variation in studied traits was due to genotypes as an interactive factor followed by genotype x environment interaction, justifying the requisite of multi-environment testing. The present study effectively recognized “Mega environment” for environment-specific breeding. The GGE biplot identified genotypes namely IPFD 18-14 and IPFD 18-20 as ‘ideal’ genotypes for earliness and grain yield, respectively, and these genotypes could be exploited in the future breeding programme for developing extra early and high-yielding field pea varieties.

Keywords

Earliness, Grain yield, G x E interaction, GGE biplot