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Effectiveness of RZWQM for Simulating Alternative Great Plains Cropping Systems
Author(s) -
Anapalli Saseendran S.,
Nielsen David C.,
Ma Liwang,
Ahuja Lajpat R.,
Vigil Merle F.,
Halvorson Ardell D.
Publication year - 2005
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2005.0019
Subject(s) - loam , environmental science , tillage , crop rotation , leaf area index , agronomy , soil water , dssat , cropping system , summer fallow , evapotranspiration , crop yield , dryland farming , water use efficiency , soil science , crop , irrigation , cropping , agriculture , biology , ecology
The Root Zone Water Quality Model (RZWQM) is a comprehensive agricultural system model with the capacity to predict crop–environmental response to varying soil and crop management systems. Our objective was to evaluate RZWQM for its ability to simulate a 2‐yr winter wheat ( Triticum aestivum L.)–fallow (WF) rotation and a more complex wheat–corn ( Zea mays L.)–fallow (WCF) rotation under tilled and no‐till (NT) conditions on a Weld silt loam soil in semi‐arid northeastern Colorado. Measured data from all phases of both rotations were compared with simulated values using root mean square error (RMSE) values to quantify the agreement. Soil water in different layers, total soil profile (180 cm) water contents, and grain yield were accurately predicted with RMSEs ranging between 0.055 and 0.061 m 3 m −3 , 4.6 and 7.1 cm, and 244 and 867 kg ha −1 , respectively. Leaf area index (LAI), evapotranspiration, and biomass predictions were less accurate with RMSEs between 0.7 and 1.6 cm 2 , 5.5 and 9.7 cm, and 1027 and 2714 kg ha −1 , respectively. Greater soil water and crop yield measured for NT compared with conventional tillage (CT) were simulated reasonably well. Predicted soil organic C was greater in the surface 0.10 m for NT compared with CT after 11 yr. Although the crop growth component of RZWQM needs improvement, especially with regard to LAI, we conclude the model has potential for simulating alternative crop rotations in the central Great Plains. One potential application for RZWQM in this region may be to predict viable cropping opportunities for evolving conservation programs such as the Conservation Security Program (CSP).