kwstat/gge

GGE & GGB biplots

gge

Homepage: https://kwstat.github.io/gge

Repository: https://github.com/kwstat/gge

Functions for GGE (genotype plus genotype-by-environment) and GGB (genotype plus genotype-by-block-of-environments) biplots.

Key features

• Stable, well-tested.

• Many options to control graphic appearance.

Installation

# Install the released version from CRAN:
install.packages("gge")

# Install the development version from GitHub:
install.packages("devtools")
devtools::install_github("kwstat/gge")

Usage

In the example GGE biplot below, the genotypes are shown by green labels and the environments are shown by blue/gold labels. Each color determines a mega-environment or block-of-environments. A thick, solid line is drawn from the origin to the 'average' of the environments within each block, and then a thinner line is drawn from the average to the individual environments. These 'residual' vectors show the deviations within each group. A dashed line extends to the edge of the plotting window and labels the group.

gge's Issues

Add Average Environment Coordinate

Requested by A.Basile.

Feature Request:Discrimitiveness vs. representativenss

nice package really appreciate

Have you ever thought about adding Discrimitiveness vs. representativenss plot

thanks

Add option for different scaling methods

can you implement the Singular Value Partition methods (Yan 2002) option for GEN and ENV in the gge library? This option can be very useful for "gge" users.

Yan W. (2002). Singular-value partitioning in biplot analysis of multi-environment trial data. Agron. J. 94, 990–996.
https://dl.sciencesocieties.org/publications/aj/abstracts/94/5/990