JEB logo

Journal of Environmental Biology

pISSN: 0254-8704 ; eISSN: 2394-0379 ; CODEN: JEBIDP
About Journal
    Home
    Obituary: Dr. R. C. Dalela
    Editorial Board
    Reviewer Panel
    Publication Policies
    Guidelines for Editors
    Guidelines for Reviewers
    Abstracting and Indexing
    Subscription and Payments
    Contact Journal
    About Triveni Enterprises
 
Read Journal
    Current Issue
    Journal Archives
 
For Authors
    Guidelines for Authors
    Terms and Conditions
    Author Resources
    Fees and Payments
    Track Paper Status
 

Google Search the Journal web-site:


    Abstract - Issue Nov 2019, 40 (6)                                     Back


nstantaneous and historical temperature effects on a-pinene

Identification of suitable mungbean genotypes for hilly terrains of India using GGE and AMMI biplot approaches

 

Paper received: 30.07.2018??????? ??????????? Revised received: 15.01.2019???? ???????????? Re-revised received: 05.03.2019??????????? ??????????????????? Accepted: 10.04.2019

 

 

Authors Info

M.S. Jeberson1, A.K. Parihar4*,

K.S. Shashidhar1, J. Dev2,

S.A. Dar3 and S. Gupta4

 

  

1Central Agricultural University,

Imphal-795 004, India

 

2Research Station, CSK HPKV

Krishi Vigyan Kendra,

Bilaspur-174 029, India

 

3Dryland Agriculture Research

Station, Sher-e-Kashmir University

of Agricultural Sciences &

Technology of Kashmir,

Budgam-190 001, India

 

4All India Coordinated

Research Project (MULLaRP),

ICAR-Indian Institute of Pulses

Research, Kanpur-208 024, India

 

    

*Corresponding Author Email :

ashoka.parihar@gmail.com

 

 

 

Abstract

 

Aim: The present investigation was conducted to approximate the magnitude of genotype ? environment interaction effects in mungbean crop and to identify suitable genotypes for northern hilly terrain of India.      

 

Methodology: Thirty one promising mungbean genotypes were evaluated in three diverse environments, viz., Srinagar, Berthin and Imphal of northern hilly terrains of India. The individual genotype was planted in 5 rows of 4m length in 3 replications in randomized block design. The statistical analysis was done for Additive Main effect and Multiplicative Interaction (AMMI) and genotype main effect plus genotype-by-environment interaction (GGE) biplots analysis.    

 

Results: ANOVA devised that the genotypes, environment and genotype ? environment interactions were significant for grain yield. The first two principal components, PC1 and PC2 described 73.65 and 26.35 percent variations, respectively, of total variation. According to AMMI I, the genotypes such as Pant M 6, RMG 1092, TMB 134, CoGG 13-19, KM 2349, DGG-8, TRCM 87-6-2-1, KM 2241 and MDGGv-16 were highly stable genotypes. GGE biplot analysis revealed that Pant M 6 and TMB 134 as winning genotypes for Berthin while NMK 15-12 and MDGGV-16 were the best genotypes for Srinagar. The genotypes IPM 14-7 and GAM 5 were found best for Imphal. Overall, high yield and most stable genotype was DGG-8 for northern hilly terrains of India.    

 

Interpretation: GGE biplot and AMMI approach could be instrumental in appraising the genotypes performance in multi-environments/locations testing for efficient selection of the stable genotypes.

 

Key words: AMMI plot, GGE, Mungbean, Stability

 

 

 

Copyright ? 2019 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).