AMMI Analysis for Grain Yield Stability in Lentil Genotypes Tested in the Highlands of Bale, Southeastern Ethiopia

Tadesse, Tilahun; Sefera, Gashaw; Asmare, Belay; Tekalign, Amanuel

doi:10.11648/j.jps.20210901.12

Cited by 7 publications

(8 citation statements)

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“…Preferences of genotypes varied from HB14-40, HB 14-07, HB14-36 based on W1 to HB14-40, HB14-15, HB14-36 as per W2 values while HB14-40, HB14-15, HB14-07 by values of WAAS (Table 4). The genotype's ranking was altered utilizing more number of IPCAs in the stability estimation which was also supported by the findings of Tadesse et al (2021). Higher average yield selected HB14.32, HB14-18, HB14-14 genotypes, while the lowest yield was of Vikrant (Table 4).…”

Section: Resultssupporting

confidence: 62%

“…Faba bean (Vicia faba L.) is a multi-purpose crop in warmer areas and very well accommodated in dominant cropping cycles owing to short growing season as observed in south eastern Ethiopia (Tadesse et al 2021) . Genotype × Environment interaction is one of the most important aspects of the crop breeding as the response of the cultivars generally varies under different environments due to the genotypic differential responses in multi-dimensional environment (Papastylianou et al 2021).…”

Section: Introductionmentioning

confidence: 99%

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Superiority indices as per ammi analysis to assess stability of faba bean (Vicia Faba L.) Genotypes

Arya,

Dahiya,

Verma

et al. 2023

Bangladesh J. Bot.

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AMMI stability values along with adaptability measures MASV and MASV1 identified HB14-15, HB14-40, HB14-16 genotypes. Relative Performance of Genotypic Values (RPGV) measure had settled for HB14.32, HB14-18, HB14-14 genotypes. Superiority indexes allowed variable weights to yield and stability measures considered HB14.32, HB14-18, HB14-20 as of genotypes with high yield and stable performance. Highly significant variations due to environments (64.2%), GxE(11.4%) and genotypes (9.1%) were observed in AMMI analysis of Faba bean genotypes Hisar under field trials from rabi 2013-14 to rabi 2018-19. Biplot analysis had observed a cluster of RPGV, MHRPGV, along with the superiority measures as per arithmetic, geometric and harmonic means of yield values. Association analysis observed the stability measures W1, W2 and WAAS maintained direct relationship with AMMI based measures. Superiority indexes exhibited positive strong correlation with Sdev, PRVG and MHPRVG measures. Bangladesh J. Bot. 52(3): 723-730, 2023 (September)

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Section: Resultssupporting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Superiority indices as per ammi analysis to assess stability of faba bean (Vicia Faba L.) Genotypes

Arya,

Dahiya,

Verma

et al. 2023

Bangladesh J. Bot.

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show abstract

“…The WAASB method selects the genotypes according to mean performance and stability. A wide range of studies have previously reported the significant interaction of the genotype with the environment (Abbas et al 2019;Shobeiri et al 2021;Tadesse et al 2021). However, the simulation of the genotype × environment interaction in previous studies has been mainly performed using AMMI and bi-plot GGE (the genotype main effect plus the genotype × environment interaction), particularly in chickpea and lentil.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Efficiency of Weighted Average of Stability and Mean Performance Estimated by Linear Mixed Models for Identifying High‐Yielding Lentil Genotypes Adapted to Rainfed Regions

Shobeiri,

Pezeshkpour,

Naseri

2024

Legume Science

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A combination of the two methods of stability analysis, the additive main effect and multiplicative interaction (AMMI) and the best linear unbiased prediction (BLUP), based on weighted average of stability (WAASB) estimated by the linear mixed models (LMM) index identified the improved genotypes. In this study, 17 advanced genotypes of lentil were studied at two locations, Zanjan and Maragheh, during the two seasons. To examine the genotype × environment interaction, the AMMI and BLUP methods using the WAASB and weighted average of mean performance (WAASBY) index were combined to evaluate the performance stability of genotypes according to different experimental plots. Considering the significant genotype × environment interaction based on likelihood ratio test (LRT), data were analyzed by the BLUP method. The highest grain yield was detected for genotype 13, followed by genotypes 7, 11, 20, 5, 12, and 19 with higher productivity than the grand mean. To select genotypes according to yield and stability, the WAASBY index was defined by combining mean grain yield and stability. Considering 50:50 contributions for the two components, the grain yield and stability of the 13 genotypes were higher than the grand mean. The highest WAASBY was observed for genotypes 7, 20, and 12, which were determined as the best genotypes of lentil under agroecological conditions encountered in the current study regions.

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“…As yield is a quantitative trait and highly influenced by environmental factors, genotype  environment interaction (GEI) manifests the stability and heritability of yield and its component traits (Das et al, 2019b;Tamang et al, 2021). In recent decade, understanding of GEI towards identification of stable genotypes in lentil have been carried out deploying several methodologies (Jeberson et al, 2019;Tadesse et al, 2021). Among all these methodologies, the HA-GGE biplots are gaining popularity for proper delineation of environments and genotypes from METs (Yan and Holland, 2010).…”

Section: Introductionmentioning

confidence: 99%

Delineation of Stable High Yielding Lentil Genotypes Through HA-GGE and REML/BLUP Method for Gangetic Alluvial Zone of India

Bhattacharya

Das

Banerjee

et al. 2022

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Background: Delineation of high yielding stable lentil genotypes (G) with least environmental (E) influence is a challenging issue. In the present study, an attempt has been made to unravel the magnitude of the effect of GEI for appraising the stable lentil genotypes through deploying HA-GGE biplot along with linear unbiased prediction (BLUP) using restricted maximum likelihood (REML) and other stability indices. Methods: The present experiment was conducted with 30 promising lentil genotypes grown at four different locations of West Bengal during two consecutive years for recording grain yield. Subsequently, G x E interaction was deciphered integrating HA-GGE and REML/BLUP method. Result: Genotypes appraisal detected presence of adequate genetic variability and significant G ´ E interaction. Integration of GGE biplot along with REML/BLUP precisely delineated G30 (IC 521442); G9 (BM 5); G11 (IC 560212) and G8 (Moitree) as stable and desirable lentil genotypes with coherent response across the locations over the years.

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AMMI Analysis for Grain Yield Stability in Lentil Genotypes Tested in the Highlands of Bale, Southeastern Ethiopia

Cited by 7 publications

References 0 publications

Superiority indices as per ammi analysis to assess stability of faba bean (Vicia Faba L.) Genotypes

Superiority indices as per ammi analysis to assess stability of faba bean (Vicia Faba L.) Genotypes

Evaluation of Efficiency of Weighted Average of Stability and Mean Performance Estimated by Linear Mixed Models for Identifying High‐Yielding Lentil Genotypes Adapted to Rainfed Regions

Delineation of Stable High Yielding Lentil Genotypes Through HA-GGE and REML/BLUP Method for Gangetic Alluvial Zone of India

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