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February 8, 2026International Journal of Farm Sciences0 citationsOpen Access

Stability analysis of chickpea (Cicer arietinum L) genotypes for major quantitative traits

RKR.D. KambleDLDB LadABA.A. Bhagat

Key Points

  • The research aims to evaluate the stability and performance of chickpea genotypes in different sowing environments.
  • Conducted a study with 16 chickpea genotypes across three sowing environments
  • Utilized a randomized block design for analysis
  • Assessed five key quantitative traits
  • Identified genotype × environment interaction for all traits
  • Found that the earliest sowing date led to the best growth and yield
  • Identified stable, high-yielding genotypes, including Phule Vikram, PG-1609-4-19, and PG-1628-15-13
  • Discovered one genotype (PG-211110) with above-average stability suitable for less favorable conditions

Abstract

AbstractA study was conducted to evaluate the stability and performance of 16 chickpea genotypes across three different sowing environments in Pune, Maharashtra. The research utilized a randomized block design and analyzed five key traits. The results confirmed a significant genotype × environment (G × E) interaction for all traits, indicating that genotypes performed differently depending on the sowing date. The earliest sowing date (20 October) proved to be the most favourable environment, leading to the best overall growth and yield. The analysis successfully identified several genotypes with average stability, meaning they were well-suited for a range of environments. Specifically, Phule Vikram, PG-1609-4-19 and PG-1628-15-13 were found to be stable, high-yielding genotypes. The study also identified genotypes with unpredictable performance and one (PG-211110) with above-average stability, making it ideal for less favourable conditions. These findings provide valuable information for breeders and farmers seeking to select stable, high-yielding chickpea varieties adapted to diverse environments.

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Cite This Study

Kamble et al. (2025) studied this question.

synapsesocial.com/papers/698827b40fc35cd7a884692chttps://doi.org/10.5958/2250-0499.2025.00050.2
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