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

Lizaso Oñate, Jon Iñaqui; Boote, Kenneth J.; Jones, J.W.; Porter, C.H.; Echarte, L.; Westgate, M. E. y 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.

Descripción

Título: CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4.5
Autor/es:
  • Lizaso Oñate, Jon Iñaqui
  • Boote, Kenneth J.
  • Jones, J.W.
  • Porter, C.H.
  • Echarte, L.
  • Westgate, M. E.
  • Sonohat, G.
Tipo de Documento: Artículo
Título de Revista/Publicación: Agronomy Journal
Fecha: 2011
Volumen: 103
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Producción Vegetal: Fitotecnia [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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

Más información

ID de Registro: 13641
Identificador DC: http://oa.upm.es/13641/
Identificador OAI: oai:oa.upm.es:13641
Identificador DOI: 10.2134/agronj2010.0423
Depositado por: Memoria Investigacion
Depositado el: 09 Ene 2013 07:58
Ultima Modificación: 22 Sep 2014 10:59
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