scholarly journals Additive Main Effect and Multiplicative Interaction (AMMI) model analysis for yield performances and G×E Interaction in multi environmental trial of aromatic fine rice in Bangladesh

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Shams Shaila Islam ◽  
Ahmed Khairul Hasan ◽  
A. B. M. Khaldun ◽  
Novizar Nazir
Keyword(s):  
Model Analysis ◽  
Multiplicative Interaction ◽  
Main Effect ◽  
Ammi Model

scholarly journals Choosing components in the additive main effect and multiplicative interaction (AMMI) models

2006 ◽  
Vol 63 (2) ◽  
pp. 169-175 ◽  
Author(s):  
Carlos Tadeu dos Santos Dias ◽  
Wojtek Janusz Krzanowski
Keyword(s):  
Simulated Data ◽  
User Needs ◽  
Data Set ◽  
Multiplicative Interaction ◽  
Main Effect ◽  
Ammi Model

The additive main effect and multiplicative interaction (AMMI) models allows analysts to detect interactions between rows and columns in a two-way table. However, there are many methods proposed in the literature to determine the number of multiplicative components to include in the AMMI model. These methods typically give different results for any particular data set, so the user needs some guidance as to which methods to use. In this paper we compare four commonly used methods using simulated data based on real experiments, and provide some general recommendations.

scholarly journals GENOTYPE-LOCATION INTERACTION OF INDICA RICE USING AMMI MODEL

2011 ◽  
Vol 24 (2) ◽  
pp. 09-18
Author(s):  
M. J. Hasan ◽  
M. U. Kulsum ◽  
M. S. Hossain ◽  
M. M. Billah ◽  
A Ansary
Keyword(s):  
Interaction Effect ◽  
Indica Rice ◽  
Average Yield ◽  
Phenotypic Stability ◽  
Positive Interaction ◽  
G X E Interaction ◽  
Main Effect ◽  
Days To Maturity ◽  
Ammi Model ◽  
Rice Genotypes

Phenotypic stability of 12 rice genotypes for plant height, days to maturity and yield were assessed at five different locations through regression and deviation from regression using Additive Main Effect and Multiplicative Interaction (AMMI) model. The result showed highly significant genotypic and G x E interaction. The G x E interaction influenced the relative ranking of the genotypes tested, BR1A/BR827R, Teea, BRRI dhan33 and Mayna showed low interaction effect with score nearest to zero with above average yield. While two genotypes BRRI hybrid dhan4 and Heera995 exhibited high positive interaction effect, gave mean grain yield around 5 ton/ha and was better suited to favorable environments. Similarly AMMI characterized the environments and identified Satkhira as a favorable environment for the better expression of the trait studied.DOI: http://dx.doi.org/10.3329/bjpbg.v24i2.17001

Study of genotype by environment interaction in tall fescue genotypes and their polycross progenies in Iran based on AMMI model analysis

2016 ◽  
Vol 67 (7) ◽  
pp. 792
Author(s):  
M. R. Dehghani ◽  
M. M. Majidi ◽  
A. Mirlohi ◽  
G. Saeidi
Keyword(s):  
Tall Fescue ◽  
Genotype By Environment Interaction ◽  
Model Analysis ◽  
Forage Yield ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
Yield Data ◽  
Genotype By Environment ◽  
Wide Range ◽  
Ammi Model

Development of forage grass genotypes which maintain a high level of performance over a wide range of environments is a goal of most breeding programs. In this study the additive main effects and multiplicative interactions (AMMI) model analysis was used to understand the complexity of genotype by environment interaction and to evaluate the adaptability and yield stability of some tall fescue genotypes and their selected polycross progenies. Replicated forage yield data of 72 genotypes (24 parental, 24 early flowering and 24 late flowering progenies) from six main cropping seasons (2008–14) at two locations and under two levels of irrigation were used for this purpose. The AMMI-1 analysis results accounted for 47.6% of the genotype by environment interaction. Interaction patterns revealed by AMMI-1 biplots indicated that most of the tall fescue genotypes were narrowly adapted and among all evaluated genotypes, only four genotypes (G22, G50, G62 and G65) with yield performance above the average were considered broadly adapted. The AMMI-1 mega-environment analysis indicated that all the environments in Lavark were grouped in one mega-environment, except for E1 and E2. For this mega-environment the winning genotypes were the genotypes G9, G48 and G72. The environments in Isfahan location, except for E13, were grouped in another mega-environment. The genotypes G23, G8 and G15 were the winners in this mega-environment.

scholarly journals Stability analysis of bread wheat landraces and lines using biometrical genetic models

Genetika ◽  
2018 ◽  
Vol 50 (2) ◽  
pp. 449-464
Author(s):  
Fatemeh Bavandpori ◽  
Jafar Ahmadi ◽  
Sayyed Hossaini
Keyword(s):  
Bread Wheat ◽  
Block Design ◽  
Gge Biplot ◽  
Breeding Programs ◽  
Biplot Analysis ◽  
Genotype Effect ◽  
Randomized Complete Block Design ◽  
Main Effect ◽  
Ammi Analysis ◽  
Ammi Model

In order to evaluate yield stability of twenty genotypes of bread wheat, an experiment was conducted in randomized complete block design (RCBD) with three replications under irrigated and rainfed conditions in Razi University of Kermanshah for three years (2011-2013). Combined analysis of variance showed highly significant differences for the GEI. Stability determined by AMMI analysis indicated that the first two AMMI model (AMMI1-AMMI2) were highly significant (P<0.01). The GEI was three times higher than that of the genotype effect. The results of Biplot AMMI2 showed that, genotypes WC-47359, WC-47472, WC-4611, WC-47388 and WC-47403 had general adaptability. Based on the ASV and GSI, the genotypes number WC-47403 and WC-47472 revealed the highest stability. GGE biplot analysis of yield displaying main effect G and GEI justified 57.5 percent of the total variation. The first two principal components (PC1 and PC2) were used to create a 2-dimensional GGE biplot and explained 34.3, 23.2 of GGE sum of squares (SS), respectively. Genotypes WC-47403, PISHGAM2 exhibited the highest mean yield and stability. Based on the results obtained the best genotypes were WC-47403, PISHGAM2, WC-4968, WC-47472 and WC-47528 for breeding programs.

scholarly journals Using Additive Main Effect and Multiplicative Interaction Model for Exploration of Yield Stability in Some Lentil (Lens Culinaris Medik.) Genotypes

2014 ◽  
Vol 67 (1) ◽  
pp. 45-59
Author(s):  
Naser Sabaghnia ◽  
Rahmatollah Karimizadeh ◽  
Mohtasham Mohammadi
Keyword(s):  
Analysis Of Variance ◽  
Lens Culinaris ◽  
Interaction Model ◽  
Stability Parameters ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Semiarid Environments ◽  
Main Effect ◽  
Ammi Analysis ◽  
Validation Procedure

AbstractThe additive main effect and multiplicative interaction (AMMI) analysis has been indicated to be effective in interpreting complex genotype by environment (GE) interactions of lentil (Lens culinarisMedik.) multienvironmental trials. Eighteen improved lentil genotypes were grown in 12 semiarid environments in Iran from 2007 to 2009. Complex GE interactions are difficult to understand with ordinary analysis of variance (ANOVA) or conventional stability methods. Combined analysis of variance indicated the genotype by location interaction (GL) and three way interactions (GYL) were highly significant. FGH1and FGH2tests indicated the five significant components; FRatioshowed three significant components and F-Gollob detected seven significant components. The RMSPD (root mean square predicted difference) values of validation procedure indicated seven significant components. Using five components in AMMI stability parameters (EVFI, SIP-CFI, AMGEFI and DFI) indicated that genotypes G5 and G6 were the most stable genotypes while considering three components in of AMMI stability parameters (EVFII, SIPCFII, AMGEFII and DFII) showed that genotypes G8 and G18 were the most stable genotypes. Also genotypes G2, G5 and G18 were the most stable genotypes according to AMMI stability parameters which calculated from seven components (EVFIII, SIP-CFIII, AMGEFIII and DFIII). Among these stable genotypes, only genotypes G2 (1365.63 kg × ha-1), G11 (1374.13 kg × ha′1) and G12 (1334.73 kg × ha-1) had high mean yield and so could be regarded as the most favorable genotype. These genotypes are therefore recommended for release as commercial cultivars.

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