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Published online 24 January 2006
Published in Crop Sci 46:456-466 (2006)
© 2006 Crop Science Society of America
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A Gene-Based Model to Simulate Soybean Development and Yield Responses to Environment

C. D. Messina*,a, J. W. Jonesa, K. J. Booteb and C. E. Vallejosc

a Agric.& Biol. Eng. Dep.
b Dep. of Agronomy
c Horticultural Sci. Dep., Univ. of Florida, Gainesville, FL 32611


Figure 1
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  		Fig. 1. Relation between observed and predicted (A) time to flowering, (B) time to onset of pod addition, (C) time to last mainstem node (R5), and (D) time to physiological maturity. Soybean development simulated using CROPGRO-Soybean and cultivar-specific parameters calibrated for each near-isogenic line. Data collected in Gainesville, FL, during 2001.

 

Figure 2
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  		Fig. 2. Electrophoretic separation of SSR markers linked to four E loci. Selected soybean cultivars from Illionois are depicted in panels A–E, and near-isogenic lines with ‘Clark’ background in panels F–H. (A and E) E1-linked Satt557; (B, C, and G) E2-linked Satt581 and Satt038; (D and H) E3-linked Satt229; and (E) E4-linked Satt496.

 

Figure 3
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  		Fig. 3. Simulated and observed time to maturity (day of the year) and yield (kg ha–1) of seven soybean public varieties grown at eight locations and 5 yr in Illinois (1995–1999). Regression equations for time to maturity, y = –50.7 (± 9.7) + 0.8x (± 0.04), R2 = 0.75; and yield, y = 689 (± 192) + 0.77x (± 0.07), R2 = 0.54. Time to maturity and yield RMSE were 5.2 (days) and 393 (kg ha–1), respectively. Yield RMSE is 12.3% of the average observed yields.

 




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