GENOTYPE-BY-ENVIRONMENT INTERACTION AND STABILITY ANALYSIS; ; Genotype-by-Environment Interaction; Heredity and Environment; Genotype-by-Environment Interaction; Implications of GEI in Crop Breeding; Causes of Genotype-by-Environment Interaction; ; Stability Analyses in Plant Breeding and Performance Trials; Stability Analysis in Plant Breeding and Performance Trials; Stability Concepts and Statistics; Dealing with Genotype-by-Environment Interaction; GGE Biplot: Genotype + GE Interaction; ; GGE BIPLOT AND MULTI-ENVIRONMENTAL TRIAL ANALYSIS; ; Theory of Biplot; The Concept of Biplot; The Inner-Product Property of a Biplot; Visualizing the Biplot; Relationships among Columns and among Rows; Biplot Analysis of Two-Way Data; ; Introduction to GGE Biplot; The Concept of GGE and GGE Biplot; The Basic Model for a GGE Biplot; Methods of Singular Value Partitioning; An Alternative Model for GGE Biplot; Three Types of Data
Transformation; Generating a GGE Biplot Using Conventional Methods; ; Biplot Analysis of Multi-Environment Trial Data; Objectives of Multi-Environment Trial Data Analysis; Simple Comparisons Using GGE Biplot; Mega-Environment Investigation; Cultivar Evaluation for a Given Mega-Environment; Evaluation of Test Environments; Comparison with the AMMI Biplot; Interpreting Genotype-by-Environment Interaction; ; GGE BIPLOT SOFTWARE AND APPLICATIONS TO OTHER TYPES OF TWO-WAY DATA; ; GGE Biplot Software-The Solution for GGE Biplot Analyses; The Need for GGE Biplot Software; The Terminology of Entries and Testers; Preparing Data File for GGE Biplot; Organization of GGE Biplot Software; Functions for a Genotype-by-Environment Dataset; Function for a Genotype-by-Strain Dataset; Application of GGE Biplot to Other Types of Two-way Data; GGE Biplot Continues to Evolve; ; Cultivar Evaluation Based on Multiple Traits; Why Multiple Traits?; Cultivar
Evaluation Based on Multiple Traits; Identifying Traits for Indirect Selection for Loaf Volume; Identification of Redundant Traits; Comparing Cultivars as Packages of Traits; Investigation of Different Selection Strategies; Systems Understanding of Crop Improvement; Three-Mode Principal Component Analysis and Visualization; ; QTL Identification Using GGE Biplot; Why Biplot?; Data Source and Model; Grouping of Linked Markers; Gene Mapping Using Biplot; QTL Identification via GGE Biplot; Interconnectedness among Traits and Pleiotropic Effects of a Given Locus; Understanding DH Lines through the Biplot Pattern; QTL and GE Interaction; ; Biplot Analysis of Diallel Data; Model for Biplot Analysis of Diallel Data; General Combining Ability of Parents; Specific Combining Ability of Parents; Heterotic Groups; The Best Testers for Assessing General Combining Ability of Parents; The Best Crosses; Hypothesis on the Genetic Constitution of
Parents; Targeting a Large Dataset; Advantages and Disadvantages of the Biplot Approach; ; Biplot Analysis of Host Genotype-by-Pathogen Strain Interactions; Vertical vs. Horizontal Resistance; Genotype-By-Strain Interaction for a Barley Net Blotch; Genotype-by-Strain Interaction for Wheat Fusarium Head Blight; ; Biplot Analysis to Detect Synergism between Genotypes of Different Species; Genotype-by-Strain Interaction for Nitrogen-Fixation; Wheat-Maize Interaction for Wheat Haploid Embryo Formation; ; References; ; Index
Bibliography
Includes bibliographical references (pages 255-262) and index
