Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI

The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.

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Additive Main Effects and Multiplicative Interaction Analysis of European Linseed (Linum Ustatissimum L.) Cultivars under South African Conditions

Advances in Plants & Agriculture Research ◽

10.15406/apar.2015.02.00049 ◽

2015 ◽

Vol 2 (3) ◽

Author(s):

MJ Jacobsz

Keyword(s):

South African ◽

Interaction Analysis ◽

Multiplicative Interaction ◽

Main Effects

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Genotype by environment interaction and stability analysis for rice genotypes under Boro condition

Genetika ◽

10.2298/gensr1402521b ◽

2014 ◽

Vol 46 (2) ◽

pp. 521-528 ◽

Cited By ~ 2

Author(s):

Lotan Bose ◽

Nitiprasad Jambhulkar ◽

Kanailal Pande

Keyword(s):

Interaction Analysis ◽

Block Design ◽

Principal Component ◽

Stability Index ◽

Yield Stability ◽

Environment Interaction ◽

Multiplicative Interaction ◽

Genotype Effect ◽

Rice Genotypes ◽

Stability Statistics

Genotype (G)?Environment (E) interaction of nine rice genotypes possessing cold tolerance at seedling stage tested over four environments was analyzed to identify stable high yielding genotypes suitable for boro environments. The genotypes were grown in a randomized complete block design with three replications. The genotype ? environment (G?E) interaction was studied using different stability statistics viz. Additive Main effects and Multiplicative Interaction (AMMI), AMMI stability value (ASV), rank-sum (RS) and yield stability index (YSI). Combined analysis of variance shows that genotype, environment and G?E interaction are highly significant. This indicates possibility of selection of stable genotypes across the environments. The results of AMMI (additive main effect and multiplicative interaction) analysis indicated that the first two principal components (PC1-PC2) were highly significant (P<0.05). The partitioning of TSS (total sum of squares) exhibited that the genotype effect was a predominant source of variation followed by G?E interaction and environment. The genotype effect was nine times higher than that of the G?E interaction, suggesting the possible existence of different environment groups. The first two interaction principal component axes (IPCA) cumulatively explained 92 % of the total interaction effects. The study revealed that genotypes GEN6 and GEN4 were found to be stable based on all stability statistics. Grain yield (GY) is positively and significantly correlated with rank-sum (RS) and yield stability index (YSI). The above mentioned stability statistics could be useful for identification of stable high yielding genotypes and facilitates visual comparisons of high yielding genotype across the multi-environments.

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