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