Description
Book SynopsisResearch 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 analysis of research data and may revolutionize the way researchers analyze data. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists introduces the theory of the GGE biplot methodology and describes its applications in visual analysis of multi-environment trial (MET) data and other types of research data.
The text includes three parts: I) Genotype by environment interaction and stability analysis, II) GGE biplot and multi-environment trial (MET) data analysis, and III) GGE biplot software and applications in analyzing other types of two-way data. Part I presents a comprehensive but succinct treatment of genotyp
Table of ContentsGenotype-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.
