Genetic Coefficients in the CROPGROSoybean Model
Links to Field Performance and Genomics
K. J. Boote*,a,
J. W. Jonesb,
W. D. Batchelorc,
E. D. Nafzigerd and
O. Myerse
a Dep. of Agronomy, P.O. Box 110500, Univ. of Florida, Gainesville, FL 32611-0500
b Dep. of Agric. and Biol. Eng., Univ. of Florida, Gainesville, FL 32611
c Dep. of Agric. Eng., Iowa State Univ., Ames, IA 50011
d Dep. of Agronomy, Univ. of Illinois, Urbana, IL 61801
e Dep. of Plant, Soil and General Agriculture, Southern Illinois Univ., Carbondale, IL 62901

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Fig. 1. Timeline of life cycle phases as predicted by the CROPGRO model for MG 7 soybean sown 12 June 1984 at Gainesville, FL (29°40' N lat). Reprinted from Boote et al. (1998a) with permission.
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Fig. 2. Simulated soybean seed yield response to varying the filling period duration (beginning seed, R5, to physiological maturity) at Ames, IA, for 19801996 rainfed weather. Treatments include standard N mobilization and 20% slower N mobilization (both with 11 adequate rainfall years) and standard N mobilization (with 6 drought-prone years). Horizontal bar represents feasible genetic range for filling period duration. Reprinted from Boote et al. (2001) with permission.
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Fig. 3. Simulated soybean seed harvest index in response to varying the filling period duration (beginning seed, R5, to physiological maturity) at Ames, IA, for 19801996 rainfed weather. Treatments include standard N mobilization and 20% slower N mobilization (both with 11 adequate rainfall years) and standard N mobilization (with 6 drought-prone years). Horizontal bar represents feasible genetic range for filling period duration. Reprinted from Boote et al. (2001) with permission.
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Fig. 4. Simulated soybean yield as a function of variation in leaf Pmax, attributed to inherent rate (no change in SLW), or attributed (coupled) only to SLW. Simulated over 17 rainfed seasons at Ames, IA. Horizontal bar represents feasible genetic range for Pmax about the mean of reported literature values.
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Fig. 5. (a) Simulated leaf area index, and (b) simulated biomass accumulation, as affected by varying early vegetative vigor of soybean (by varying a parameter called SIZELF) for the 1980 season at Ames, IA, when sown on Day 122 in 0.91-m rows at 30 plants m-2.
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Fig. 6. Simulated plant height and seed harvest index (HI) for hypothetical determinate and indeterminate soybean cultivars grown in a nonstressed year (1981) at Ames, IA.
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Fig. 7. Simulated soybean yield and SD for yield as affected by rate of root depth progression (cm PTD-1), averaged over 17 rainfed seasons at Ames, IA. Horizontal bar represents feasible genetic range for rate of root depth progression about the default reference point.
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Fig. 8. Simulated soybean yield response to varying the filling period duration (beginning seed, R5, to physiological maturity) at Ames, IA, for 19801996 rainfed weather under two scenarios (Year 1958: 315 CO2 µmol mol-1, 0.91-m row spacing, 25 plants m-2; Year 2000: 370 CO2 µmol mol-1, 0.18-m row spacing, 30 plants m-2).
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Fig. 9. Comparison of simulated vs. observed days to maturity for the Stressland soybean cultivar, grown at 11 sites for 3 yr in the Northern Uniform Regional Soybean Trials. The 1:1 line is also shown.
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Fig. 10. Comparison of simulated vs. observed seed yield for the Stressland soybean cultivar, grown at 11 sites for 3 yr in the Northern Uniform Regional Soybean Trials. The 1:1 line is also shown.
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Copyright © 2003 by the American Society of Agronomy.