Multi-environment Analysis Identified Hathi Panjara and Dokra–Dokri as Stable Rice (Oryza sativa L.) Genotypes for Hundred Seed Weight and Grain Length

Rice (Oryza sativa L.) is a staple crop for over half of the global population, with productivity significantly influenced by genotype × environment (G×E) interactions under diverse agro-climatic conditions. Evaluating the stability of rice genotypes across environments is essential to identify high-yielding and adaptable varieties for consistent production and enhanced food security. The present investigation was undertaken to evaluate fifteen rice genotypes including checks for yield and yield components, across four location viz., Raipur, Ambikapur, Jagdalpur and Bilaspur during Kharif 2025. The genotypes were evaluated in a randomized complete block design with three replication. Stability analysis was performed using Eberhart and Russell model. The highly significant differences among rice genotypes for all the studied characters over environments and genotype × environment interaction were observed, suggested the presence of wide variability. Significant pooled deviations observed for all the traits, suggested that there is a considerable genotypic differences. Based on the stability parameters, the rice genotype Hathi panjara (CGR : 13439) (4.72 g) and Dokra-dokri (CGR: 12126, IC: 301119) (13.8 mm) were found as the most promising stable genotypes for hundred seed weight and grain length respectively, as indicated by their higher mean performance across diverse locations. Hence the above genotypes should be given due importance while formulating crop improvement program.

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Journal
Journal of Advances in Biology & Biotechnology
Published
2026-04-16
DOI
https://doi.org/10.9734/jabb/2026/v29i43874
Primary Topic
Genetics and Plant Breeding
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article
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article

Multi-environment Analysis Identified Hathi Panjara and Dokra–Dokri as Stable Rice (Oryza sativa L.) Genotypes for Hundred Seed Weight and Grain Length

Deepak Gauraha, Mangla Parikh, Sonali Kar, Kiran Tigga et al.
Journal of Advances in Biology & Biotechnology
Genetics and Plant Breeding
article

Multi-environment Analysis Identified Hathi Panjara and Dokra–Dokri as Stable Rice (Oryza sativa L.) Genotypes for Hundred Seed Weight and Grain Length

Deepak Gauraha, Mangla Parikh, Sonali Kar, Kiran Tigga, Sunil Nair, D. J. Sharma, Maumita Burman, Ritu R. Saxena Bhawana Sharma, Abinav Sao
article en

Abstract

Rice (Oryza sativa L.) is a staple crop for over half of the global population, with productivity significantly influenced by genotype × environment (G×E) interactions under diverse agro-climatic conditions. Evaluating the stability of rice genotypes across environments is essential to identify high-yielding and adaptable varieties for consistent production and enhanced food security. The present investigation was undertaken to evaluate fifteen rice genotypes including checks for yield and yield components, across four location viz., Raipur, Ambikapur, Jagdalpur and Bilaspur during Kharif 2025. The genotypes were evaluated in a randomized complete block design with three replication. Stability analysis was performed using Eberhart and Russell model. The highly significant differences among rice genotypes for all the studied characters over environments and genotype × environment interaction were observed, suggested the presence of wide variability. Significant pooled deviations observed for all the traits, suggested that there is a considerable genotypic differences. Based on the stability parameters, the rice genotype Hathi panjara (CGR : 13439) (4.72 g) and Dokra-dokri (CGR: 12126, IC: 301119) (13.8 mm) were found as the most promising stable genotypes for hundred seed weight and grain length respectively, as indicated by their higher mean performance across diverse locations. Hence the above genotypes should be given due importance while formulating crop improvement program.

Journal of Advances in Biology & BiotechnologyVol. 29(4)
Indira Gandhi Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 23%
Genetics and Plant Breeding
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