INVESTIGADORES
CAVIGLIA Octavio Pedro
congresos y reuniones científicas
Título:
Calibration and Validation of CERES-Maize for Yield and Plant Nitrogen Dynamic
Autor/es:
ALBARENQUE, S.M.; MELCHIORI, R.J.M.; CAVIGLIA, O.P.
Lugar:
Pittsburgh, PA, USA
Reunión:
Congreso; ASA-CSSA-SSSA International Annual Meetings; 2009
Institución organizadora:
ASA-CSSA-SSSA
Resumen:
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Crop growth
simulation models are usually calibrated and validated for a few variables,
e.g. yield and it components. The use of variables related to nitrogen dynamics
to calibrate and validate CERES-Maize is rarely reported. The objectives of
this study were to i) calibrate CERES-Maize crop growth model for variables
related to plant nitrogen dynamics, and ii) compare the predictions with
observed, independent data from field experiments. Two years (2003 and 2004) of
maize fertilization experiments were used to calibrate and two years (2006 and
2007) of similar experiment to validate the model. The experiments included
four nitrogen rates at sowing (0, 70, 140, 210 kg N ha-1)
and in-season applications at different growth stages, and conducted at Parana, Argentina
(31.5ºS 60.3ºW). Model parameters as mineralization factor (SLNF), nitrogen
content in above ground biomass at emergence (TANCE) and radiation use
efficiency (RUE) were optimized during calibration process. Model performance
was assessed through regression analysis, and the root mean square error (RMSE)
using IRENE software. The model predicts adequately the studied variables. The
simulation of grain yield closely matched the observed data (r 2 =
0.96, RMSE = 1011 kg
ha-1), whereas biomass was simulated with less accuracy (r2 =
0.64, RMSE = 4541 kg
ha-1). Simulated grain size (r2 = 0.94, RMSE = 0.016 mg
grain-1) was more accurate predicted than grain number (r2 =
0.74, RMSE = 567 grain m-2). Tops nitrogen at maturity was
adequately simulated (r2 = 0.76, RMSE = 56 kg ha-1), but
less accurately than grain nitrogen at maturity (r2 = 0.86, RMSE = 51 kg ha-1).
CERES-Maize showed an adequate prediction of crop yield and its components
adding to an acceptable simulation of variables related to nitrogen plant
dynamics.