The recently developed GGE biplot methodology is a superior approach to the graphical analysis of research data that may revolutionize the way researchers analyze data and increase their productivity. GGE Biplot Analysis systematically presents the theory and applications of the GGE biplot methodology in quantitative genetics and plant breeding. The first part of the text is devoted to general aspects of genotype-by-environment interaction and stability analyses in crop breeding. The second part is a thorough treatment of the GGE biplot approach and applications in the life and agricultural sciences.

Weikai Yan is a Research Scientist and Oat Breeder with Agriculture and Agri-Food Canada. Manjit S. Kang (Punjab Agricultral University, Ludhiana, India).

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 understanding large data sets with complex interconnectedness and interactions. The newly developed GGE biplot methodology is a superior approach to the graphical analys

Genotype-by-Environment Interaction. Stability Analyses in Plant Breeding and Performance Trials. Theory of Biplot. Introduction to GGE Biplot. Biplot Analysis of Multi-environment Trial Data. GGE Biplot Software-The Solution for GGE Biplot Analyses. Cultivar Evaluation Based on Multiple Traits. QTL Identification Using Biplots. Biplot Analysis of Diallel Data. Biplot Analysis of Host Genotype-by-Pathogen Strain Interactions. Biplot Analysis to Detect Synergism Between Genotypes of Different Species.