CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4.5

Lizaso Oñate, Jon Iñaqui and Boote, Kenneth J. and Jones, J.W. and Porter, C.H. and Echarte, L. and Westgate, M. E. and Sonohat, G. (2011). CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4.5. "Agronomy Journal", v. 103 (n. 3); pp. 766-779. ISSN 0002-1962. https://doi.org/10.2134/agronj2010.0423.

Description

Title: CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4.5
Author/s:
  • Lizaso Oñate, Jon Iñaqui
  • Boote, Kenneth J.
  • Jones, J.W.
  • Porter, C.H.
  • Echarte, L.
  • Westgate, M. E.
  • Sonohat, G.
Item Type: Article
Título de Revista/Publicación: Agronomy Journal
Date: 2011
ISSN: 0002-1962
Volume: 103
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Producción Vegetal: Fitotecnia [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Th e CERES-Maize model is the most widely used maize (Zea mays L.) model and is a recognized reference for comparing new developments in maize growth, development, and yield simulation. Th e objective of this study was to present and evaluate CSMIXIM, a new maize simulation model for DSSAT version 4.5. Code from CSM-CERES-Maize, the modular version of the model, was modifi ed to include a number of model improvements. Model enhancements included the simulation of leaf area, C assimilation and partitioning, ear growth, kernel number, grain yield, and plant N acquisition and distribution. Th e addition of two genetic coeffi cients to simulate per-leaf foliar surface produced 32% smaller root mean square error (RMSE) values estimating leaf area index than did CSM-CERES. Grain yield and total shoot biomass were correctly simulated by both models. Carbon partitioning, however, showed diff erences. Th e CSM-IXIM model simulated leaf mass more accurately, reducing the CSM-CERES error by 44%, but overestimated stem mass, especially aft er stress, resulting in similar average RMSE values as CSM-CERES. Excessive N uptake aft er fertilization events as simulated by CSM-CERES was also corrected, reducing the error by 16%. Th e accuracy of N distribution to stems was improved by 68%. Th ese improvements in CSM-IXIM provided a stable basis for more precise simulation of maize canopy growth and yield and a framework for continuing future model developments

More information

Item ID: 13641
DC Identifier: http://oa.upm.es/13641/
OAI Identifier: oai:oa.upm.es:13641
DOI: 10.2134/agronj2010.0423
Deposited by: Memoria Investigacion
Deposited on: 09 Jan 2013 07:58
Last Modified: 22 Sep 2014 10:59
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