Genotype-by-Environment Interaction

Published:
February 06, 1996 by CRC Press - 416 Pages
Editor(s):
Manjit S. Kang, Punjab Agricultral University, Ludhiana, India; Hugh G. Gauch, Jr., Cornell University, Ithaca, New York, USA

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Hardback
$239.95
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ISBN 9780849340031
Cat# 4003
 

Features

  • Contains authoritative articles from around the world
  • Provides up-to-date compendium of techniques for analyzing GEI interaction
  • Offers a first-time treatment of molecular approaches in analyzing GEI interaction

    • Summary

    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, M.S. Kang and Robert Magari
    Incorporating Additional Information on Genotypes and Environments in Models for Two-Way Genotype-by-Environment Tables, F.A. Van Eeuwijk, J.-B. Denis, and M.S. Kang
    Relationships Among Analytical Methods Used to Study Genotype-by-Environment Interactions and Evaluation of Their Impact on Response to Selection, M. Cooper and I. DeLacy
    AMMI Analysis of Yield Trials, H.G. Gauch, Jr. and R.W. Zobel
    Identification of QTL That Are Affected by Environment, W.D. Beavis and P. Keim
    Analysis of Genotype-by-Environment Interaction and Phenotypic Stability, H.-P. Piepho
    Using the Shifted Multiplicative Model Cluster Methods for Crossover Genotype-by-Environment Interaction, J. Crossa, P.L. Cornelius, and M.S. Seyedsadr
    Statistical Tests and Estimators of Multiplicative Models for Genotype-by-Environment Interaction, P.L. Cornelius, J. Crossa, and M.S. Seyedsadr
    Nonparametric Analysis of Genotype-by-Environment Interactions by Ranks, M. Hühn
    Analysis of Multiple-Environment Trials Using the Probability of Outperforming a Check, K.M. Eskridge
    Breeding for Reliability Across Unpredictable, Widely Divergent Environments, P. Bramel-Cox
    Variable Active Genic Vs. Parental Genic Proportions Model for Genotype-by-Environment Interaction, L.P. Subedi
    Selection of Genotypes and Prediction of Performance by Analyzing Genotype-by-Environment Interactions, W.E. Weber, G. Wricke, and T. Westermann
    Spatial Analysis of Field Experiments: Fertilizer Experiments with Wheat and Tea, R.E. Eisenberg, H.G. Gauch, Jr., R.W. Zobel, and W. Killian
    Bibliography, J.-B. Denis, H.G. Gauch, Jr., M.S. Kang, and F.A. Van Eeuwijk

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