Legume Research
Web of Science
  • Year: 2024
  • Volume: 47
  • Issue: 8

AMMI and GGE biplot analysis for stability of yield in midearly pigeonpea [Cajanus cajan (L.) millspaugh] genotypes

  • Author:
  • P. Jagan Mohan Rao1, N. Sandhyakishore2,*, S. Sandeep3, G. Neelima4, A. Saritha5, P. Madhukar Rao6, D. Mohan Das7, N. Lingaiah8
  • Total Page Count: 8
  • Page Number: 1327 to 1334

1Seed Research and Technology Center, PJTSAU, Rajendranagr-500 030, Telangana, India

2Regional Agricultural Research Station, Warangal, PJTSAU, Warangal(U)-506 007, Telangana, India

3Agricultural Research Station, Tandur, PJTSAU, Vikarabad-501 141, Telangana, India

4Regional Agricultural Research Station, Palem, PJTSAU, Nagarkurnool-509 215, Telangana, India

5Agricultural Research Station, PJTSAU, Tornala, Siddipet-502 114, Telangana, India

6Regional Agricultural Research Station, PJTSAU, Polasa, Jagtial-505 529, Telangana, India

7Agricultural Research Station, PJTSAU, Adilabad-504 002, Telangana, India

8Agricultural College, Warangal, PJTSAU, Warangal Urban-506 007, Telangana, India

*Corresponding Author: N. Sandhyakishore, Regional Agricultural Research Station, Professor Jayashankar Telangana State Agricultural University, Warangal-506 007, Telangana, India, Email: kishoregene@gmail.com

Online published on 19 November, 2024.

Abstract

The genotype × environment interaction greatly influences the success of breeding and in multi-location trials complicates the identification of superior genotypes for a single location, due to magnitude of genotype by location interaction are often greater than genotype by year interaction. This necessitates genotype evaluation in multi environments trials in the advanced stages of selection.

Nine elite pigeonpea genotypes of mid-early duration were evaluated in six diverse locations in randomized complete block design with three replications during kharif, 2019 to ascertain the stable genotypes, environments discrimination and genotype by environment crossovers using AMMI and GGE biplot stability models.

The results in the present investigation revealed that first two principal components explained 73.4% of variation interaction, while, 80.50% in GGE biplot. Both the models identified WRGE-126 (G6) as stable performer with high yield (1733 kg ha-1) and among the locations Tandur (E1) measured as the ideal environment. Whereas, the environments, Adilabad (E3) and Warangal (E4) were observed representative with better discriminating ability.

Keywords

AMMI model, GGE biplot analysis, Genotype × Environment interaction, Mid-early pigeonpea