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GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data

^a Eastern Cereal and Oilseed Research Centre (ECORC), Agric. and Agri-Food Canada (AAFC), 960 Carling Ave., Ottawa, ON, Canada, K1A 0C6
^b Dep. of Agronomy & Environ. Mgmt., Louisiana State Univ. Agric. Center, Baton Rouge, LA 70803-2110
^c Cereal Research Center (CRC), AAFC, 195 Dafoe Road, Winnipeg, MB, Canada, R3T 2M9
^d Dep. of Plant and Soil Sciences and Dep. of Statistics, Univ. of Kentucky, Lexington, KY 40506. ECORC contribution number: 06-688

View larger version (17K): [in this window] [in a new window]   Figure 1. The "which-won-where" view of the GGE biplot based on the G x E data in Table 1. The data were not transformed ("Transform = 0"), not scaled ("Scaling = 0"), and were environment-centered ("Centering = 2"). The biplot was based on environment-focused singular value partitioning ("SVP = 2") and therefore is appropriate for visualizing the relationships among environments. It explained 78% of the total G+GE. The genotypes are labeled as G1 to G18 and the environments are labeled as E1 to E9.

View larger version (17K): [in this window] [in a new window]   Figure 2. The "mean vs. stability" view of the GGE biplot based on a subset of the G x E data in Table 1. The data were not transformed ("Transform = 0"), not scaled ("Scaling = 0"), and were environment-centered ("Centering = 2"). The biplot was based on genotype-focused singular value partitioning ("SVP = 1") and therefore is appropriate for visualizing the similarities among genotypes. It explained 79.5% of the total G+GE for the subset.

View larger version (20K): [in this window] [in a new window]   Figure 3. The "discriminating power vs. representativeness" view of the GGE biplot based on a subset of the G x E data in Table 1. The data were not transformed ("Transform = 0"), not scaled ("Scaling = 0"), and were environment-centered ("Centering = 2"). The biplot was based on genotype-focused singular value partitioning ("SVP = 2") and therefore is appropriate for visualizing the relationships among environments. It explained 79.5% of the total G+GE for the subset.