GENOTYPE BY ENVIRONMENT INTERACTION AND STABILITY ANALYSIS OF SEED YIELD, AGRONOMIC CHARACTERS IN MUNGBEAN (Vigna radiata L. Wilczek) GENOTYPES

Win, KyawSwar; Win, Kyi; Min, ThanDa; Htwe, NyoMar; Shwe, Tun

doi:10.21474/ijar01/6750

Cited by 6 publications

(9 citation statements)

References 10 publications

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“…The genotypes BARI Mung-7 and BARI Mung-8 were region-centric and confirmed the earlier assumption (Figure 3). The genotypes near the center indicated minimal interaction with environments, and away from the origin in the biplot, indicating that the genotypes were more sensitive to the environmental effects [56]. Our results indicated that the genotypes BMX-010015 and BMX-08010-2 were moderate grain yielding genotypes, and obsessed wide adaptation to tested environments, whereas the genotypes BARI Mung-7 and BARI Mung-8 were high grain yielding and well adapted to specific environments.…”

Section: Estimation Of Grain Yield Stability and Genotype Environment Interactionmentioning

confidence: 64%

“…The genotypes BMX-010015 and BMX-08010-2 showed low ASV values with considerable grain yield having good stability performance across the environments. In an earlier study reported that the genotypes with a high 'bi' value indicated better responsiveness to a favorable environment, whereas the genotypes with a low 'bi' value indicated the genotype suited to a poor environment [56]. Based on the yield stability index (Table 9), the BMX-08010-2 genotype performed better with a CV value of 8.51%.…”

Section: Estimation Of Grain Yield Stability and Genotype Environment Interactionmentioning

confidence: 95%

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Yield Stability and Genotype Environment Interaction of Water Deficit Stress Tolerant Mung Bean (Vigna radiata L. Wilczak) Genotypes of Bangladesh

Islam

Sarker

Alam³

et al. 2021

Agronomy

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Water deficit stress is a critical abiotic constraint to mung bean production that affects plant growth and development and finally reduces crop yield. Therefore, a field experiment was conducted at five diverse environments using four water stress-tolerant genotypes, namely BARI Mung-8, BMX-08010-2, BMX-010015, and BMX-08009-7, along with two popular cultivated varieties (check) of BARI Mung-6 and BARI Mung-7 to evaluate more stable tolerant genotypes across the country. Stability analysis was performed based on the grain yield. The combined analysis of variance showed significant variations among genotypes, environments, and their interactions. The AMMI analysis of variance indicated that genotype accounted for 91% of the total sum of squares for grain yield, followed by genotype × environment interaction (5%), and environment (4%). Partitioning of interaction indicated that the first three interaction principal components (IPCA1–IPCA3) were highly significant (p ≤ 0.01). Using these significant IPCAs, AMMI stability parameters and non-parameter indices BMX-010015 was found stable across the environment based on yield traits and grain yield. The BMX-08010-2 genotype also showed significant regression coefficient (bi) more than unity, and non-significant deviation from regression (S2di) values, indicating suitable for a favorable environment considering grain yield. So, based on the stability analysis (Eberhart and Russell), additive main effects, and multiplicative interactions (AMMI) analysis, the BMX-010015 and BMX-08010-2 could be suitable for having tolerance to water deficit stress.

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Section: Estimation Of Grain Yield Stability and Genotype Environment Interactionmentioning

confidence: 64%

Section: Estimation Of Grain Yield Stability and Genotype Environment Interactionmentioning

confidence: 95%

Yield Stability and Genotype Environment Interaction of Water Deficit Stress Tolerant Mung Bean (Vigna radiata L. Wilczak) Genotypes of Bangladesh

Islam

Sarker

Alam³

et al. 2021

Agronomy

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“…The trait number of pods per plant was the yield driving trait in all the three environments. Win et al (2018) also reported the better performance of particular mungbean genotypes for each environment under study. Based on GSI, the following genotypes viz., G52 (V2802BG), G43 (HG 22), and G49 (EC 396098) were identified as stable and high yielding across all the test environments under study.…”

Section: Discussionmentioning

confidence: 86%

“…Many researchers have conducted the studies on stability performance for grain yield using different set of mungbean genotypes at diverse agro-climatic zones (Ullah et al, 2012;Win et al, 2018). To date, several statistical models proposed to analyze stability and G×E interaction of traits by conventional analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, AMMI and GGE have been found particularly useful in visualizing G×E effects in graphical representation. Also, both models were widely used to examine the mungbean genotype in the multi-environment cultivar trials (Thangavel et al, 2011;Asfaw et al, 2012;Ullah et al, 2012;Win et al, 2018). Thangavel et al (2011) evaluated the yield-related traits data of 58 mungbean genotypes including local cultivars, landraces and advanced breeding lines at six moisture stress location-year environments.…”

Section: Introductionmentioning

confidence: 99%

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Delineation of Genotype × Environment Interaction for Identification of Stable Genotypes to Grain Yield in Mungbean

et al. 2020

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In the present study, fifty-two mungbean (Vigna radiata) genotypes were evaluated for seven morphological traits at three different environments in South Indian state Tamil Nadu, namely Virinjipuram (E1), Eachangkottai (E2), and Bhavanisagar (E3) during Kharif 2017, 2018, and 2019, respectively. The data collected were subjected to variability and correlation analyses, followed by stability analysis using additive main effects and multiplicative interaction (AMMI) model, genotype and genotype × environment interaction effects (GGE) biplot. Variablility was observed among the genotypes for the following traits viz., plant height, days to fifty per cent flowering, number of pods per plant, pod length, number of seeds per pod, hundred seed weight and grain yield. Correlation analysis showed that the trait number of pods per plant was significantly associated with grain yield. The G × E was smaller than the genetic variation of grain yield as it portrayed the maximum contribution of genotypic effects (61.07%). GGE biplot showed E3 as a highly discriminating and representative environment. It also identified environment-specific genotypes viz., EC 396111 for E1, EC 396125 for E2 and EC 396101 for E3 environments. The genotypes with minimum genotype stability index (GSI) viz., V2802BG (7), HG 22 (13), and EC 396098 (13) were observed with wide adaptation and high yields across all the three environments. In summary, we identified stable genotypes adapted across environments for grain yield. These genotypes can be used as parent/pre-breeding materials in future mungbean breeding programs.

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Deciphering of Genotype × Environment Interaction to Identify Stable Heat-Tolerant Mung Bean Genotypes by GGE Biplot Analysis

Iqbal

Shabbir

Shah

et al. 2021

J Soil Sci Plant Nutr

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GENOTYPE BY ENVIRONMENT INTERACTION AND STABILITY ANALYSIS OF SEED YIELD, AGRONOMIC CHARACTERS IN MUNGBEAN (Vigna radiata L. Wilczek) GENOTYPES

Cited by 6 publications

References 10 publications

Yield Stability and Genotype Environment Interaction of Water Deficit Stress Tolerant Mung Bean (Vigna radiata L. Wilczak) Genotypes of Bangladesh

Yield Stability and Genotype Environment Interaction of Water Deficit Stress Tolerant Mung Bean (Vigna radiata L. Wilczak) Genotypes of Bangladesh

Delineation of Genotype × Environment Interaction for Identification of Stable Genotypes to Grain Yield in Mungbean

Deciphering of Genotype × Environment Interaction to Identify Stable Heat-Tolerant Mung Bean Genotypes by GGE Biplot Analysis

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