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


Autoria(s): Lizaso Oñate, Jon Iñaqui; Boote, Kenneth J.; Jones, J.W.; Porter, C.H.; Echarte, L.; Westgate, M. E.; Sonohat, G.
Data(s)

2011

Resumo

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

Formato

application/pdf

Identificador

http://oa.upm.es/13641/

Idioma(s)

eng

Publicador

E.T.S.I. Agrónomos (UPM)

Relação

http://oa.upm.es/13641/1/INVE_MEM_2011_109394.pdf

info:eu-repo/semantics/altIdentifier/doi/10.2134/agronj2010.0423

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/restrictedAccess

Fonte

Agronomy Journal, ISSN 0002-1962, 2011, Vol. 103, No. 3

Palavras-Chave #Agricultura
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed