Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis

Yield stability, alongside high yield potential and broad adaptation to various agroclimatic environments, is a key objective for rice breeders aiming to ensure food security. This study aimed to explore the most suitable and stable Boro rice genotypes for Bangladesh. Ten Boro rice genotypes underwe...

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Main Authors: Shams Shaila Islam, Md. Borhan Uddin Sarker, Md. Masud Rana, Ahmed Khairul Hasan, Md. Rashed Karim, Thanet Khomphet
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Scientifica
Online Access:http://dx.doi.org/10.1155/2024/7800747
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author Shams Shaila Islam
Md. Borhan Uddin Sarker
Md. Masud Rana
Ahmed Khairul Hasan
Md. Rashed Karim
Thanet Khomphet
author_facet Shams Shaila Islam
Md. Borhan Uddin Sarker
Md. Masud Rana
Ahmed Khairul Hasan
Md. Rashed Karim
Thanet Khomphet
author_sort Shams Shaila Islam
collection DOAJ
description Yield stability, alongside high yield potential and broad adaptation to various agroclimatic environments, is a key objective for rice breeders aiming to ensure food security. This study aimed to explore the most suitable and stable Boro rice genotypes for Bangladesh. Ten Boro rice genotypes underwent testing in four environments during the 2022 Boro season to investigate genotype-environment interaction (GEI) and yield stability performance. The experiment utilized three replications of a completely randomized block design. Yield stability performance was assessed through combined analysis and the additive main effects and multiplicative interaction (AMMI) model. The combined ANOVA revealed that the environment explained 10.23%, while GEI accounted for 9.17%, and the genotypes captured 80.60% of the variance, significantly impacting grain yield. Significance was observed in the environment, genotype main effects, and GEI. Analysis indicated that BRRI dhan 68 yielded the highest (6,754 kg·ha−1) and BRRI dhan 88 the lowest (5,620 kg·ha−1) among the investigated genotypes. In addition, genotypes BRRI dhan 84, BRRI dhan 81, and BRRI dhan 67 exhibited the highest grain yields. The Rangpur environment demonstrated considerable stability across the four environments with a high mean value of grain yield (7,206 kg·ha−1). Therefore, the AMMI model emerges as a valuable tool for identifying the most suitable and stable Boro rice genotypes with high-yielding potential across various regions in Bangladesh, as well as under diverse conditions.
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spelling doaj-art-f28ace18f49f498bb4a44500f6e83e312025-02-03T07:23:44ZengWileyScientifica2090-908X2024-01-01202410.1155/2024/7800747Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI AnalysisShams Shaila Islam0Md. Borhan Uddin Sarker1Md. Masud Rana2Ahmed Khairul Hasan3Md. Rashed Karim4Thanet Khomphet5Department of AgronomyDepartment of AgronomyDepartment of AgronomyDepartment of AgronomyDepartment of Geography and EnvironmentSchool of Agricultural Technology and Food IndustryYield stability, alongside high yield potential and broad adaptation to various agroclimatic environments, is a key objective for rice breeders aiming to ensure food security. This study aimed to explore the most suitable and stable Boro rice genotypes for Bangladesh. Ten Boro rice genotypes underwent testing in four environments during the 2022 Boro season to investigate genotype-environment interaction (GEI) and yield stability performance. The experiment utilized three replications of a completely randomized block design. Yield stability performance was assessed through combined analysis and the additive main effects and multiplicative interaction (AMMI) model. The combined ANOVA revealed that the environment explained 10.23%, while GEI accounted for 9.17%, and the genotypes captured 80.60% of the variance, significantly impacting grain yield. Significance was observed in the environment, genotype main effects, and GEI. Analysis indicated that BRRI dhan 68 yielded the highest (6,754 kg·ha−1) and BRRI dhan 88 the lowest (5,620 kg·ha−1) among the investigated genotypes. In addition, genotypes BRRI dhan 84, BRRI dhan 81, and BRRI dhan 67 exhibited the highest grain yields. The Rangpur environment demonstrated considerable stability across the four environments with a high mean value of grain yield (7,206 kg·ha−1). Therefore, the AMMI model emerges as a valuable tool for identifying the most suitable and stable Boro rice genotypes with high-yielding potential across various regions in Bangladesh, as well as under diverse conditions.http://dx.doi.org/10.1155/2024/7800747
spellingShingle Shams Shaila Islam
Md. Borhan Uddin Sarker
Md. Masud Rana
Ahmed Khairul Hasan
Md. Rashed Karim
Thanet Khomphet
Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis
Scientifica
title Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis
title_full Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis
title_fullStr Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis
title_full_unstemmed Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis
title_short Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis
title_sort comprehensive assessment of the genotype environment interaction and yield stability of boro rice genotypes under four environments in bangladesh using ammi analysis
url http://dx.doi.org/10.1155/2024/7800747
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