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Evaluation of the CROPGRO-Soybean model over a wide range of experiments

  • K. J. Boote
  • J. W. Jones
  • G. Hoogenboom
  • G. G. Wilkerson
Part of the Systems Approaches for Sustainable Agricultural Development book series (SAAD, volume 6)

Abstract

Crop simulation models are increasingly being used to predict yield responses to soil, weather, and management conditions. This requires that the models be evaluated for their abilities to accurately respond to those factors. Our objective in this paper was to evaluate the recently released CROPGRO-Soybean model for its ability to simulate soybean growth, seed yield, flowering dates, and season lengths over a wide range of conditions. Inputs (weather, soil characteristics, management practices) and data on growth and yield were assembled for several cultivars from various locations in the USA. The Bragg cultivar was evaluated in multiple years at Gainesville under varying water supply and showed the model ability to predict water limitations on growth. The Williams cultivar was evaluated in multiple years at sites in Iowa, Ohio, and Florida and illustrated CROPGRO ability to predict in different locations and climatic environments. Planting date studies were simulated for three cultivars in North Carolina to evaluate model ability to predict yield response to planting date. Model ability to predict growth and yield in two ‘on-farm’ soybean trials was evaluated. Three of the experiments (Williams cultivar in Florida, planting date trials, and on-farm trials) represent independent data never used in model calibration and illustrate the ability of CROPGRO to predict growth and yield in new locations and environments. We conclude that CROPGRO-Soybean gives reasonable predictions under a wide range of environmental conditions.

Key words

soybean modeling weather effects growth seed yield life cycle prediction 

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Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • K. J. Boote
    • 1
  • J. W. Jones
    • 2
  • G. Hoogenboom
    • 3
  • G. G. Wilkerson
    • 4
  1. 1.Department of AgronomyUniversity of FloridaGainesvilleUSA
  2. 2.Department of Agricultural EngineeringUniversity of FloridaGainesvilleUSA
  3. 3.Department of Agricultural Engineering, Georgia StationUniversity of GeorgiaGriffinUSA
  4. 4.Crop Science DepartmentNorth Carolina State UniversityRaleighUSA

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