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Title Analysis of a three-way interaction including multi-attributes
 
Names Varela, M.
Crossa, J.
Rane, J.
Joshi, A.K.
Trethowan R.M.
Date Issued 2006 (iso8601)
Abstract The additive main effect and multiplicative interaction (AMMI) has been widely used for studying and interpreting genotype×environment interaction (GEI) in agricultural experiments using multi-environment trials (METs). When METs are performed across several years the interaction is referred to as a 3-mode (3-way) data array, inwhich the modes are genotypes, environments, and years. The 3-way array can be applied to other conditions or factors artificially created by the researcher, such as different sowing dates or plant densities, etc. Three-way interaction data can be studied using the AMMI analysis. The objective of this study is to apply the 3-mode AMMI to 2 datasets. Dataset 1 comprises genotype (25)×location (4)×sowing time (4) interaction; 8 traits were measured. The structure of dataset 2 is genotype (20)×irrigation regimes (4)×year (3) on grain yield. Results of the 3-way AMMI on dataset 1 show that several important 3-way interactions were not detected when condensing location (4)×sowing time (4) into environments (16). An alternative 3-way array, genotype×attribute×locations for the early sowing date in Year 1, is considered. Results of the 3-way AMMI on dataset 2 show that different patterns of response of genotypes can be found at different irrigation methods and years.
Genre Article
Access Condition Restricted Access
Identifier http://hdl.handle.net/10883/1711