Stability Analysis in Field Pea (Pisum sativum L.) Genotypes under Various Environmental Conditions
Neelesh Patel *
Department of Genetics & Plant Breeding, Jawaharlal Nehru Krishi Vishwavidyalaya Jabalpur, M.P., India.
J. P. Lakhani
Department of Genetics & Plant Breeding, Jawaharlal Nehru Krishi Vishwavidyalaya Jabalpur, M.P., India.
Sanjay Kumar Singh
Department of Genetics & Plant Breeding, Jawaharlal Nehru Krishi Vishwavidyalaya Jabalpur, M.P., India.
Pankaj Chauhan
Department of Genetics & Plant Breeding, Jawaharlal Nehru Krishi Vishwavidyalaya Jabalpur, M.P., India.
Dhuruv Dangi
Department of Genetics & Plant Breeding, Jawaharlal Nehru Krishi Vishwavidyalaya Jabalpur, M.P., India.
Pramod Kumar Prajapati
Department of Genetics & Plant Breeding, Jawaharlal Nehru Krishi Vishwavidyalaya Jabalpur, M.P., India.
*Author to whom correspondence should be addressed.
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.
Keywords: Stability analysis, stable genotypes, field pea
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References
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