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Numerical and Graphical Measures to Facilitate the Interpretation of GGE Biplots
Author(s) -
Laffont JeanLouis,
Hanafi Mohamed,
Wright Kevin
Publication year - 2007
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2006.08.0549
Subject(s) - biplot , biology , interpretation (philosophy) , statistics , biological system , computational biology , econometrics , genetics , mathematics , computer science , genotype , gene , programming language
The genotype + genotype‐by‐environment (GGE) biplot technique has been widely used in the recent years for the analysis of multienvironment trials, as is evident by the large number of articles published where there is a reference to this technique. One question often raised by the users of this technique is how much of genotype and/or genotype‐by‐environment variability is captured by the GGE biplot axes. This article provides an answer to this question by establishing a link between the partitioning of the total sum of squares (TSS) of the genotype‐by‐environment‐centered matrix provided by singular value decomposition and the partitioning of this TSS provided by the analysis of variance technique. An artificial dataset is used to illustrate this link, which is visualized through a mosaic plot. This new GGE biplot interpretation tool is found to be useful and is discussed in contrast with other interpretation tools.