Stability Analysis in Field Pea (Pisum sativum L.) Genotypes under Various Environmental Conditions

Patel, Neelesh and Lakhani, J. P. and Singh, Sanjay Kumar and Chauhan, Pankaj and Dangi, Dhuruv and Prajapati, Pramod Kumar (2023) Stability Analysis in Field Pea (Pisum sativum L.) Genotypes under Various Environmental Conditions. International Journal of Environment and Climate Change, 13 (11). pp. 2829-2833. ISSN 2581-8627

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Abstract

Present study was undertaken to estimate the G x E interactions and identify the stable genotypes for yield traits in field pea. A total of 43 field pea genotypes were evaluated in Randomized Complete Block Design (RCBD) in three replications along with three different dates of sowing at BSP Soybean Unit, Department of Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur during Rabi Season 2022-2023. The analysis of variance was applied on 16 different quantitative traits both individually and pooled under various environmental conditions. The stability analysis for seed yield per plant was assessed using Eberhart and Russell's model, revealing significant variations among different genotypes and environmental conditions. The mean squares attributed to both environments and genotype-environment interactions (E + G x E) indicated significant interactions between genotypes and environments. Further, partitioning of genotype-environment (linear) interactions was found to be highly significant for seed yield per plant. Genotypes Shikha, KPMR 485 and HFP 94-12 were found ideal and stable genotypes for seed yield per plant as that possessed mean value higher than general mean, regression coefficient near to unity (Bi=1) with minimum deviation from regression (S2di~0). Thus, identified stable genotypes can be utilized for different seasons and regions for obtaining the stable yield performance.

Item Type: Article
Subjects: Open Research Librarians > Agricultural and Food Science
Depositing User: Unnamed user with email support@open.researchlibrarians.com
Date Deposited: 15 Nov 2023 04:32
Last Modified: 15 Nov 2023 04:32
URI: http://stm.e4journal.com/id/eprint/2098

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