Agronomists and breeders frequently collect yield data for a number of genotypes in a number of environments (site-years), resulting in a two-way data table. The Additive Main effects and Multiplicative Interaction (AMMI) model combines regular analysis of variance (ANOVA) for additive main effects with principal components analysis (PCA) for multiplicative structure within the interaction (that is, within the residual from ANOVA). AMMI is effective for (1) understanding genotype-environment interaction, (2) improving the accuracy of yield estimates, (3) increasing the probability of successfully selecting genotypes with the highest yields, (4) imputing missing data, and (5) increasing the flexibility and efficiency of experimental design...
The genotype by environment interaction (GEI) has an influence on the selection and recommendation o...
Abstract: In making decisions on the development of varieties and the identification of certain grow...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
Understanding the implication of genotype-by-environment (GE) interaction structure is an important ...
Multilocation trials is usually conducted to study the factors effect of genotype and environment in...
In making decisions on the development of varieties and the identification of certain growing regio...
Multilocation trials is usually conducted to study the factors effect of genotype and environment in...
Multi-locations trials play an important role in plant breeding and agronomic research. Study concer...
AbstractGeneralized AMMI (GAMMI) model has been widely used to model the Genotype × Environment Inte...
Additive Main Effects Multiplicative Interaction (AMMI) is a widely known analysis used in understan...
Genotype-by-environment (GE) interaction can be analyzed using different approaches. Among these, th...
The interpretation of new varieties performance is disturbed under the influence of genotype-by-envi...
Due to the interaction and noise in the experiments, yield trails for studying varieties are carried...
AMMI(Additive Main Effect Multiplicative Interaction)model for interactions in two-way table provide...
In a two-way cross-classified experiment, one is almost always interested in whether the two factors...
The genotype by environment interaction (GEI) has an influence on the selection and recommendation o...
Abstract: In making decisions on the development of varieties and the identification of certain grow...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...
Understanding the implication of genotype-by-environment (GE) interaction structure is an important ...
Multilocation trials is usually conducted to study the factors effect of genotype and environment in...
In making decisions on the development of varieties and the identification of certain growing regio...
Multilocation trials is usually conducted to study the factors effect of genotype and environment in...
Multi-locations trials play an important role in plant breeding and agronomic research. Study concer...
AbstractGeneralized AMMI (GAMMI) model has been widely used to model the Genotype × Environment Inte...
Additive Main Effects Multiplicative Interaction (AMMI) is a widely known analysis used in understan...
Genotype-by-environment (GE) interaction can be analyzed using different approaches. Among these, th...
The interpretation of new varieties performance is disturbed under the influence of genotype-by-envi...
Due to the interaction and noise in the experiments, yield trails for studying varieties are carried...
AMMI(Additive Main Effect Multiplicative Interaction)model for interactions in two-way table provide...
In a two-way cross-classified experiment, one is almost always interested in whether the two factors...
The genotype by environment interaction (GEI) has an influence on the selection and recommendation o...
Abstract: In making decisions on the development of varieties and the identification of certain grow...
The AMMI model combines regular analysis of variance for additive main effects with principal compon...