Evaluation of G×E Interaction and Stability Parameters for Yield and Yield-related Traits in Rice Hybrids (Oryza sativa L.)

The present study was undertaken during the rabi (January–May, 2016) at three diverse locations of Telangana i.e., College of Agriculture, Rajendranagar, Agricultural Research Station (ARS), Kampasagar, and Regional Sugarcane and Rice Research Station (RSRRS), Rudrur to evaluate the adaptability and stability of rice hybrids. Stability analysis is essential for identifying genotypes with consistent performance across varying environmental conditions, particularly for yield and its contributing traits. A total of 20 rice hybrids and their parental lines were evaluated using analysis of variance (ANOVA) and the stability model, which involves regression coefficient (bi) and deviation from regression (S2di). The results revealed significant differences among genotypes, environments, and genotype× environment (G×E) interactions, indicating differential responses of genotypes across environments. Based on mean performance, bi values close to unity, and non-significant S2di values, stable parents such as IR-68897A and PUSA-5A and hybrids including PUSA-5A×AR-7-75 and IR-68897A×TCP-657 were identified. These hybrids not only exhibited stable performance across locations but also recorded higher grain yields compared to the standard hybrid check KRH-2, demonstrating wide adaptability and superior yield potential. The study highlights the importance of multi-environment testing and stability analysis in identifying promising rice genotypes. These findings can contribute to the development of high-yielding, stable rice hybrids suitable for cultivation under diverse agro-climatic conditions, thereby supporting food security and sustainable rice production.

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Publication Details

Journal
International Journal of Economic Plants
Published
2025-08-22
DOI
https://doi.org/10.23910/2/2025.6317a
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
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article

Evaluation of G×E Interaction and Stability Parameters for Yield and Yield-related Traits in Rice Hybrids (Oryza sativa L.)

P. Senguttuvel, Sarvendra Kumar, M. Sheshu Madhav, Srikanth Thippani et al.
International Journal of Economic Plants
Rice Cultivation and Yield Improvement
article

Evaluation of G×E Interaction and Stability Parameters for Yield and Yield-related Traits in Rice Hybrids (Oryza sativa L.)

P. Senguttuvel, Sarvendra Kumar, M. Sheshu Madhav, Srikanth Thippani, S. Narender Reddy
article en

Abstract

The present study was undertaken during the rabi (January–May, 2016) at three diverse locations of Telangana i.e., College of Agriculture, Rajendranagar, Agricultural Research Station (ARS), Kampasagar, and Regional Sugarcane and Rice Research Station (RSRRS), Rudrur to evaluate the adaptability and stability of rice hybrids. Stability analysis is essential for identifying genotypes with consistent performance across varying environmental conditions, particularly for yield and its contributing traits. A total of 20 rice hybrids and their parental lines were evaluated using analysis of variance (ANOVA) and the stability model, which involves regression coefficient (bi) and deviation from regression (S2di). The results revealed significant differences among genotypes, environments, and genotype× environment (G×E) interactions, indicating differential responses of genotypes across environments. Based on mean performance, bi values close to unity, and non-significant S2di values, stable parents such as IR-68897A and PUSA-5A and hybrids including PUSA-5A×AR-7-75 and IR-68897A×TCP-657 were identified. These hybrids not only exhibited stable performance across locations but also recorded higher grain yields compared to the standard hybrid check KRH-2, demonstrating wide adaptability and superior yield potential. The study highlights the importance of multi-environment testing and stability analysis in identifying promising rice genotypes. These findings can contribute to the development of high-yielding, stable rice hybrids suitable for cultivation under diverse agro-climatic conditions, thereby supporting food security and sustainable rice production.

International Journal of Economic PlantsVol. 12(Sep, 5)
Indian Institute of Rice Research (IN), Professor Jayashankar Telangana Agricultural University (IN)
Openalex Percentile: Top 81%
Rice Cultivation and Yield Improvement
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