Genotype-environment interaction (GEI) is an age-old, universal issue that relates to all
living organisms. Genotypes and environments interact to produce an array of phenotypes …

Research data is expensive and precious, yet it is seldom fully utilized due to our ability of
comprehension. Graphical display is desirable, if not absolutely necessary, for fully …

Superior crop cultivars must be identified through multi‐environment trials (MET) and on the
basis of multiple traits. The objectives of this paper were to describe two types of biplots, the …

The Additive Main effects and Multiplicative Interaction (AMMI) model, Genotype main effects
and Genotype× Environment interaction (GGE) model, and Principal Components Analysis …

Multienvironment trials (MET) are conducted every year for all major crops throughout the
world, and best use of the information contained in MET data for cultivar evaluation and …

Variety trials are an essential step in crop breeding and production. These trials are a
significant investment in time and resources and inform numerous decisions from cultivar …

Genotype× environment (GE) interaction effect is one of the major challenges in identifying
cultivars with stable performance across environments and years. Objective of the present …

Biplot analysis has been used for studying genotype× environment interaction (GE) or any
two‐way table. Its descriptive and visualization capabilities along with the availability of user …

Yield data of 25 bread wheat genotypes tested across 9 rain-fed environments during the
2002-2003 growing season were analyzed using the GGE (ie G, genotype+ GEI, genotype …

Multienvironment trials (MET) generate two types of two‐way data: genotype× environment
data for a target trait and genotype× trait data in individual or across environments. These …