JSM Activity #211

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Activity ID:  211
Title Room
* ! Statistical Analysis of Genotype-Environment Interaction H-Clayton
Date / Time Sponsor Type
08/07/2001    2:00 PM  -  3:50 PM Section on Statistical Consulting*, ENAR Topic Contributed
Organizer: Kaine Bondari, University of Georgia
Chair: Kaine Bondari, University of Georgia
Discussant:  
Floor Discussion 3:45 PM
Description

The objective of this session is to explore the statistical methodologies (e.g., factorial/joint regression methods, partial least-squares regression, two-way ANOVA, the Additive Main Effects and Multiplicative Interaction known as AMMI model, variance components, etc.) used to analyze the genotype X environment data.
  300563  By:  Dallas Johnson 2:05 PM 08/07/2001
An Introduction to AMMI Models Used in G X E Experiments.

  300522  By:  Paul Cornelius 2:25 PM 08/07/2001
Contributions to Multiplicative Model Analysis of Genotype-Environment Data

  300614  By:  Hans-Peter Piepho 2:45 PM 08/07/2001
Mixed Modeling for Genotype-by-Environment Data

  300517  By:  Jose Crossa 3:05 PM 08/07/2001
Linear, Bilinear and Linear-Bilinear Models for Analyzing Genotype X Environment Interaction

  301057  By:  Kert Viele 3:25 PM 08/07/2001
Bayesian Analysis of the AMMI Model

JSM 2001

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Revised March 2001