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
recommendation has been an important issue in plant breeding and agricultural research. A
genotype main effect plus genotype× environment interaction (GGE) biplot based on MET
data allows visualizing (i) the which‐won‐where pattern of the MET,(ii) the interrelationship
among test environments, and (iii) the ranking of genotypes based on both mean …

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
recommendation has been an important issue in plant breeding and agricultural research. A
genotype main effect plus genotype× environment interaction (GGE) biplot based on MET
data allows visualizing (i) the which-won-where pattern of the MET,(ii) the interrelationship
among test environments, and (iii) the ranking of genotypes based on both mean …