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Published online 1 March 2007
Published in Crop Sci 47:477-484 (2007)
© 2007 Crop Science Society of America
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Analysis of Genotype-by-Environment Interaction in Wheat Using a Structural Equation Model and Chromosome Substitution Lines

P. Dhunganaa, K. M. Eskridgeb,*, P. S. Baenzigerb, B. T. Campbellc, K. S. Gilld and I. Dweikatb

a Monsanto Co., 800 N. Lindbergh Blvd., St. Louis, MO 63167
b Univ. of Nebraska, Lincoln, NE 68583-0940
c USDA-ARS, Florence, SC
d Washington State Univ., Pullman, WA. Published as Univ. of Nebraska ARD Journal Series no. 14689


Figure 1
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Figure 1. Path estimates of structural equation model of yield genotype-by-environment interaction (YLDGEI), yield component GEIs (spikes per square meter [SPSMGEI], kernels per spike [KPSGEI], and thousand kernel weight [TKWGEI]), and adjusted cross-products (marker * environmental covariate). T, mean daily temperature; SR; total solar irradiance; P, total precipitation; suffix 0, the 3-mo period before sowing; 1, the first developmental period; 2, the second developmental period; and 3, the third developmental period. Arrows represent the direction of influence of variables. The numbers by the arrow lines represent the estimated standardized coefficients. The terms {varepsilon}4, {varepsilon}3, {varepsilon}2, and {varepsilon}1 are the disturbance terms for yield and yield components and represent the unexplained variances of those variables. Covariances among all cross-product variables were estimated as part of the model but arrows among these variables were excluded to simplify the figure. Significance level: ***P < 0.001; **P < 0.01; *P < 0.05.

 





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