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Developing Genetic Coefficients for Crop Simulation Models with Data from Crop Performance Trials

^a Dep. of Agricultural and Biological Engineering, Univ. of Florida, Gainesville, FL 32611
^b Dep. of Agronomy, Univ. of Florida, Gainesville, FL 32611
^c Tropical Research and Education Center, Univ. of Florida, Homestead, FL 33031
^d Dep. of Biological and Agricultural Engineering, Univ. of Georgia, 30223

View larger version (18K): [in a new window]   Fig. 1. Comparison of simulated versus observed anthesis date for the soybean cultivar Stonewall. The 1:1 line (solid) and the regression line (dot) between the data are also shown

View larger version (19K): [in a new window]   Fig. 2. Comparison of simulated versus observed harvest maturity for the soybean cultivar Stonewall. The 1:1 line (solid) and the regression line (dot) between the data are also shown

View larger version (68K): [in a new window]   Fig. 3. Comparison of simulated and observed seed yield at Tifton (a) and Calhoun (b) for early (EP) and late plantings (LP), averaged over all soybean cultivars at each site per planting date

View larger version (17K): [in a new window]   Fig. 4. Comparison of simulated versus observed seed yield for the soybean cultivar Stonewall

View larger version (26K): [in a new window]   Fig. 5. Observed (a) and simulated (b) seed yield for each soybean cultivar of the orthogonal subset

View larger version (44K): [in a new window]   Fig. 6. The difference in soybean cultivar ranking (a) and yield (|Obs. – Sim|) (b) between observations over all environments (112 cases) of the orthogonal subset