Publisher Summary This chapter presents the statistical analysis of multilocation trials.
Multilocation trials play an important role in plant breeding and agronomic research. Data …

Genotype by environment interaction (G× E) refers to the comparative performances of
genotypes differing among environments, representing differences in genotype rankings or …

Crop yield trials provide information for agronomic recommendations and breeding
selections, but their value is often limited by inaccuracy and other problems. The relatively …

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

Introduction The two most common styles to analyze genotype-by-environment interaction
(GEI) and estimate genotypes are additive main effects and multiplicative interaction (AMMI) …

Following the recognition of the importance of dealing with the effects of genotype-by-
environment (G× E) interaction in multi-environment testing of genotypes in plant breeding …

Identification of high-yielding stable promising rice lines and determination of suitable areas
for rice lines would be done by additive main effects and multiplicative interaction (AMMI) …

In order to determine stable bread wheat genotypes with high grain yield via a single
parameter, field experiments were conducted with 14 genotypes for 3 consecutive years …

This chapter has two objectives: first, to discuss implications of genotype by environment
interaction (G× E) for breeding and second, to present major statistical models for assessing …

Multilocation trials are important for the CIMMYT Bread Wheat Program in producing high-
yielding, adapted lines for a wide range of environments. This study investigated procedures …