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 Mar 2021, 42 (2)                                     Back


nstantaneous and historical temperature effects on a-pinene

GGE biplot analysis of vegetable type soybean genotypes under multi-environmental conditions in India

 

V. Nataraj, N. Pandey, R. Ramteke, P. Verghese, R. Reddy, T. Onkarappa, S.P. Mehtre, S. Gupta*, G.K. Satpute, Y. Mohan, M. Shivakumar, S. Chandra and V. Rajesh

ICAR-Indian Institute of Soybean Research, Indore-452 001, India

*Corresponding Author Email : sanitaishu@gmail.com

 

Received: 24.01.2020                                                                           Revised: 04.07.2020                                                                          Accepted: 30.12.2020

 

 

Abstract

Aim: To understand the magnitude and pattern of genotype-environment interaction in vegetable type soybeans and to identify mega environment(s) and best performing genotype(s) across environments.

Methodology: Five vegetable type soybean genotypes were evaluated across five geographical locations viz., Indore, Parbhani, Adilabad, Bengaluru and Pune, during rainy season of 2018.  Genotypes were grown in a plot size of 1.35 x 3 m2 in three replications in randomized block design. Data on green pod yield, green seed test weight, days to 50% flowering, days to maturity and plant height were recorded using standard methods. GGE biplot analysis was performed using software “GGE Biplot version 7.0”.

Results: In the present investigation, except in case of green seed test weight, in remaining four traits, major portion of variation was contributed by location (52.95-79.4%) followed by genotype (17.7-42.7%) and genotype x location interaction (2.21-4.29%). Through GGE biplot analysis, Bengaluru was found to be near ideal environment and genotypes Karune and Harasoya were found to be the best performers across the locations with respect to green pod yield.               

Interpretation: Bengaluru was found to be near ideal environment for vegetable type soybean evaluation. Selection for genotypes having wider adaptability can be conducted at this location. Genotypes Karune and Harasoya were found to be the best performers with respect to green pod yield. These two genotypes can be included as parents for breeding as vegetable type soybean.      

Key words: GEE biplot, Multienvironmental analyses, Soybean genotypes

 

 

 

Copyright © 2021 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).