Assessment of Genetic Variability, Performance and Evaluation of Mungbean [Vigna radiata (L.)Wilzeck] Genotypes for Agro-Morphological and Physio-Biochemical Traits under Arid Zone Conditions of Rajasthan https://doi.org/10.21276/AATCCReview.2025.13.03.264 Mungbean, a climate-resilient legume, encounters productivity obstacles owing to escalating
abiotic stresses. This investigation evaluated 35 genotypes in the arid Rajasthan’s region to
evaluate the genetic variability of 17 yield and stress-adaptive characters. The study aimed to
identify high-performing genotypes exhibiting superior drought tolerance and yield potential,
providing pivotal data to facilitate the development of climate-smart varieties and bolster food
security in water-constrained environments. A total of thirty-five mungbean genotypes were
assessed through a randomized block experimental design, with three replications conducted
across four distinct environments at SKRAU, Bikaner, Rajasthan, during the summer of 2019
and the Kharif season of 2019-20. Standard agronomic practices were implemented throughout
the evaluation process. Furthermore, genetic parameters were estimated via variance component
analysis utilizing R-software, following established quantitative genetic methodologies. ANOVA
revealed highly significant differences among the genotypes across all the evaluated traits.
Particularly noteworthy was the substantial variation observed in stress-responsive parameters,
including membrane stability index, proline content, and relative water content. The genotypes
exhibited high levels of both genotypic and phenotypic coefficients of variation for proline
content, biological yield, and harvest index. Furthermore, traits such as days to maturity, plant
height, number of pods per plant, membrane stability index, proline content, biological yield,
harvest index, and seed yield exhibited high heritability estimates coupled with a high genetic
advance as a percentage of the mean, suggesting that additive gene action governs these
characters and selection would be effective. The superior performing genotypes encompassed
GM-4, RMG-344, and RMG-62. Notably, genotypes such as IC-52081, IC-52087, and GM-4
recorded high proline content and membrane stability index, which are indicative of enhanced
drought tolerance. Additionally, SML-832 exhibited the highest relative water content, indicating
better water retention under limited moisture conditions.

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Original Research Article
https://doi.org/10.21276/AATCCReview.2025.13.03.264

Abstract

Mungbean, a climate-resilient legume, encounters productivity obstacles owing to escalating
abiotic stresses. This investigation evaluated 35 genotypes in the arid Rajasthan’s region to
evaluate the genetic variability of 17 yield and stress-adaptive characters. The study aimed to
identify high-performing genotypes exhibiting superior drought tolerance and yield potential,
providing pivotal data to facilitate the development of climate-smart varieties and bolster food
security in water-constrained environments. A total of thirty-five mungbean genotypes were
assessed through a randomized block experimental design, with three replications conducted
across four distinct environments at SKRAU, Bikaner, Rajasthan, during the summer of 2019
and the Kharif season of 2019-20. Standard agronomic practices were implemented throughout
the evaluation process. Furthermore, genetic parameters were estimated via variance component
analysis utilizing R-software, following established quantitative genetic methodologies. ANOVA
revealed highly significant differences among the genotypes across all the evaluated traits.
Particularly noteworthy was the substantial variation observed in stress-responsive parameters,
including membrane stability index, proline content, and relative water content. The genotypes
exhibited high levels of both genotypic and phenotypic coefficients of variation for proline
content, biological yield, and harvest index. Furthermore, traits such as days to maturity, plant
height, number of pods per plant, membrane stability index, proline content, biological yield,
harvest index, and seed yield exhibited high heritability estimates coupled with a high genetic
advance as a percentage of the mean, suggesting that additive gene action governs these
characters and selection would be effective. The superior performing genotypes encompassed
GM-4, RMG-344, and RMG-62. Notably, genotypes such as IC-52081, IC-52087, and GM-4
recorded high proline content and membrane stability index, which are indicative of enhanced
drought tolerance. Additionally, SML-832 exhibited the highest relative water content, indicating
better water retention under limited moisture conditions.

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