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Simulation-Based Analysis of Effects of Vrn and Ppd Loci on Flowering in Wheat

^a USDA-ARS, Arid Land Agricultural Research Center, 21881 N. Cardon Ln., Maricopa, AZ 85239
^b Institute of Crop Production and Grassland Research (340), Univ. of Hohenheim, Fruwirthstr. 23, D-70599 Stuttgart, Germany
^c Dep. of Plant Agriculture, Crop Science Bldg., Univ. of Guelph, Guelph, ON, Canada N1G 2W1
^d International Maize and Wheat Improvement Centre (CIMMYT), Ap. Postal 6-641, 06600, Mexico DF, Mexico
^e Dep. of Biological and Agricultural Engineering, College of Agricultural and Environmental Sciences, Univ. of Georgia, Griffin, GA 30223-1797. Mention of a specific product name by the U.S. Department of Agriculture does not constitute an endorsement and does not imply a recommendation over other suitable products

View larger version (16K): [in this window] [in a new window]   Figure 1. Comparisons of observed vs. simulated days to flowering for the evaluation datasets using different values of the coefficients P1V and P1D for the simulations: (A) conventionally estimated coefficients; (B) gene-based coefficients; (C) coefficients for a single generic cultivar (estimated as means of the conventional estimates). Fitted lines are for linear regressions with slopes and intercepts as given in Table 4.

View larger version (28K): [in this window] [in a new window]   Figure 2. Comparisons of residuals of regression with the generic cultivar vs. simulated days to flowering for the evaluation datasets using different values of the coefficients P1V and P1D for the simulations. Fitted lines are for linear regressions estimated separately for spring or winter types: (A) conventionally estimated coefficients; (B) gene-based coefficients.