TY  - JA
AU  - Carberry,P.S.
AU  - McCown,R.L.
AU  - Muchow,R.C.
TI  - Testing the CERES-Maize simulation model in a Semi-arid tropical environment
PY  - 1989///
N1  - Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0378-4290
N2  - Crop simulation models are proposed as tools for agricultural risk analysis in order to explore potential cropping locations and appropriate farming systems in the semi-arid tropics. This study takes the initial step of independently validating the STANDARD CERES-Maize simulation model in the semi-arid tropics, and reports some modifications made to improve its performance. The CERES-Maize model did not accurately predict grain-yield of cultivar Dekalb XL82 which was grown over a range of sowing dates and water regimes at Katherine, N.T. Experimental yields (at 15.5% moisture) ranged from 0 to 9840 kg ha−1. Calibration of CERES-Maize reduced the root mean square deviation (rmsd) for observed grain-yields from 3480 to 2015 kg ha−1. Functions describing phenology, leaf growth and senescence, assimilate production and grain growth were revised and validated against field data. The revisions to CERES-Maize not only provide a model more applicable to the semi-arid tropics but also identify the parameters that may require calibration for other maize genotypes and locations in this climatic zone. Further validations of the functions describing nitrogen cycling and rainfall infiltration and runoff are required to increase the model's applicability to risk-analysis studies
T2  - Field Crops Research
DO  - https://doi.org/10.1016/0378-4290(89)90072-5
ER  -