My Account: Log In | Join | Renew
Search
Author
Title
Vol.
Issue
Year
1st Page

Abstract

 

This article in CS

  1. Vol. 41 No. 3, p. 656-663
     
    Received: Feb 14, 2000
    Published: May, 2001


    * Corresponding author(s): wyan@uoguelph.ca
 View
 Download
 Alerts
 Permissions
 Share

doi:10.2135/cropsci2001.413656x

Two Types of GGE Biplots for Analyzing Multi-Environment Trial Data

  1. Weikai Yan *a,
  2. Paul L. Corneliusb,
  3. Jose Crossac and
  4. L.A. Hunta
  1. a Dep. of Plant Agriculture, Univ. of Guelph, Guelph, Ontario, Canada N1G 2W1
    b Dep. of Agronomy and Dep. of Statistics, Univ. of Kentucky, Lexington, KY 40546-0091
    c Biometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Lisboa 27, Apdo. Postal 6-641, 06600 Mexico D.F., Mexico

Abstract

SA genotype main effect plus genotype × environment interaction (GGE) biplot graphically displays the genotypic main effect (G) and the genotype × environment interaction (GE) of the multienvironment trial (MET) data and facilitates visual evaluation of both the genotypes and the environments. This paper compares the merits of two types of GGE biplots in MET data analysis. The first type is constructed by the least squares solution of the sites regression model (SREG2), with the first two principal components as the primary and secondary effects, respectively. The second type is constructed by Man-del's solution for sites regression as the primary effect and the first principal component extracted from the regression residual as the secondary effect (SREGM+1). Results indicate that both the SREG2 biplot and the SREGM+1 biplot are equally effective in displaying the “which-won-where” pattern of the MET data, although the SREG2 biplot explains slightly more GGE variation. The SREGM+1 biplot is more desirable, however, in that it always explicitly indicates the average yield and stability of the genotypes and the discriminating ability and representativeness of the test environments.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © 2001. Crop Science Society of AmericaPublished in Crop Sci.41:656–663.