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Mega-environment classification based on the GGE pattern

 

The GGE biplot for a trait, e.g., yield, can be used to visually investigate whether the test environments can be divided into meaningful mega-environments. For example, the following GGE biplot is based on the yield data from a barley mapping dataset, using environment-focused SVP.

It can be seen that the 25 environments fall into two groups of environments. The group on the right contains all environments from Ontario (ON), Prince Edward Island (PE), Manitoba (MB), and one of the two Quebec (QC) environments. Since the environments in this group are located mostly in the eastern part of Canada, it may be regarded as the Eastern mega-environment, although it also contains two environments from Saskatchewan (SK), and one environment from Montana (MO, should be shortened as MT). The group on the left contains all environments from Alberta (AB), most environments from SK, and environments from some US states, including Washington (WA), North Dakota (ND), and Alaska (AK). One exception is that it includes a QC environment. Therefore, this group may be called the Western mega-environment.

 

Also see:

 

What are mega-environments{linkID=280}

 

Mega-environment vs. which-won-where

 

Mega-environment classification based on the covariate-effect biplot