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 2022, 43 (2)                                     Back


nstantaneous and historical temperature effects on a-pinene

Identification of drought tolerant, high yielding rice genotypes for rainfed upland ecosystem of Uttarakhand hills through different drought tolerance indices

 

J.P. Aditya1*, A. Bhartiya1, R.S. Pal1, L. Kant2 and A. Pattanayak3

1ICrop Improvement Division, ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora-263 601, India

2ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora-263 601, India     

3ICAR-Indian Institute of Agricultural Biotechnology, Ranchi-834 003, India

*Corresponding Author Email : Jay.Aditya@icar.gov.in

 

Received: 23.01.2021                                                                                                Revised: 07.04.2021                                                                       Accepted: 09.07.2021

 

 

Abstract

Aim: To identify drought tolerant rice genotypes for rainfed upland hills at reproductive stage through different drought tolerance indices, PCA Biplot Analysis and Cluster Analysis.

Methodology: Forty eight rainfed upland genotypes were evaluated under drought stress at reproductive stage and non-stress (irrigated) conditions. Different drought tolerance indices viz., drought tolerance efficiency (DTE), mean productivity index (MPI), relative efficiency (REI), mean relative performance (MRP), stress tolerance index (STI), drought yield index(DYI), stress tolerance (TOL), stress susceptibility index (SSI) and Schneider’s stress susceptibility index (SSSI)were used for screening genotypes.

Results: The reduction in grain yield was observed in all the genotypes grown under drought stress condition and the per cent reduction in grain yield between stress and non-stress trial varied from 23.62% to 67.69%. The highest value of DTE was recorded in VL 20541 (76.38%) whereas VL 20441 showed the highest value for MPI (2656), REI (1.478), MRP (2.44) and STI (0.79). The lowest value of DYI (1.31), TOL (625), SSI (0.51) and SSSI (-0.23) was observed in VL 20541. Highest value for DTE, MPI, REI, MRP, STI and lowest value for DYI, TOL, SSI, SSSI are preferred and desirable as it indicate drought tolerance. A positive and highly significant correlation was exhibited by grain yield under stress (YS) with DTE, MPI, REI, MRP, STI and highly negative significant with DYI, TOL, SSI SSSI indicating that selection of low DYI, TOL, SSI, SSSI value and high DTE, MPI, REI, MRP, STI for screening of rice genotypes under drought stresses condition. Principal component analysis revealed that PC1 and PC2 accounted for 80.05% and 19.40% of the total variations, respectively. Cluster analysis grouped the 48 rice genotypes into two main clusters.

Interpretation: On the basis of drought tolerant indices, PCA Biplot analysis and Cluster analysis six genotypes viz., VL 20441, VL 20225, VL 20541, VL 20468, VL 8549, and VL 20316 were identified as drought tolerant.

Key words: Cluster Analysis, Drought tolerant indices, Hill rice, PCA Biplot

 

 

 

Copyright © 2022 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).