Genotype-by-Environment Interaction (GEI) is a prevalent issue among crop farmers, plant breeders, geneticists, and production agronomists. This book brings together contributions from expert plant breeders and quantitative geneticists to better understand the relationship between crop performance and environment. This information can reduce the cost of extensive genotype evaluation by eliminating unnecessary testing sites and by fine-tuning breeding programs.
Molecular aspects of GEI are discussed for the first time and key bibliographical references on GEI are included in an appendix.
Table of Contents
New Developments in Selecting for Phenotypic Stability in Crop Breeding. Incorporating Additional Information on Genotypes and Environments in Models for Two-Way Genotype-by-Environment Tables. Relationships Among Analytical Methods Used to Study Genotype-by-Environment Interactions and Evaluation of Their Impact on Response to Selection. AMMI Analysis of Yield Trials. Identification of QTL That Are Affected by Environment. Analysis of Genotype-by-Environment Interaction and Phenotypic Stability. Using the SHifted Multiplicative Model Cluster Methods for Crossover Genotype-by-Environment Interaction. Statistical Tests and Estimators of Multiplicative Models for Genotype-by-Environment Interaction. Nonparametric Analysis of Genotype-by-Environment Interactions by Ranks. Analysis of Multiple-Environment Trials Using the Probability of Outperforming a Check. Breeding for Reliability Across Unpredictable, Widely Divergent Environments. Variable Active Genic Vs. Parental Genic Proportions Model for Genotype-by-Environment Interaction. Selection of Genotypes and Prediction of Performance by Analyzing Genotype-by-Environment Interactions. Spatial Analysis of Field Experiments: Fertilizer Experiments with Wheat and Tea. Bibliography.
Kang, Manjit S.; Gauch, Jr.