Results 161 to 170 of about 34,732 (217)

Using the CERES-Maize model in a semi-arid Mediterranean environment. Evaluation of model performance

European Journal of Agronomy, 2000
The CERES-Maize model was tested in a semi-arid Mediterranean environment during a period of 2 years under three different soil moisture conditions (well-watered and two limited irrigation regimes). In well-watered plots, growth and yield were adequately simulated by the model (differences between simulated values and observations were less than 10 ...
Ben Nouna, B., Katerji, Nader, Mastrorilli, M.   +2 more
openaire   +2 more sources

Optimization of Sowing Date, Irrigation, and Nitrogen Management of Summer Maize Using the DSSAT-CERES-Maize Model in the Guanzhong Plain, China

, 2020
HighlightsGood applicability of DSSAT was validated in simulating summer maize yield in the Guanzhong Plain, China.Optimal sowing dates of summer maize were obtained for different climatic years.The optimal irrigation and nitrogen management strategy ...
Hongzheng Shen, Fang Xu, Rongheng Zhao, Xuguang Xing, Xiaoyi Ma   +4 more
semanticscholar   +1 more source

Testing the CERES-Maize simulation model in a semi-arid tropical environment

Field Crops Research, 1989
Abstract 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
P.S. Carberry, R.C. Muchow, R.L. McCown
openaire   +1 more source

Using the CERES-Maize model to estimate production for the U.S. Cornbelt

Agricultural and Forest Meteorology, 1987
Abstract The ability of the CERES-Maize model to estimate annual fluctuations in maize ( Zea mays L.) production for the U.S. Cornbelt was tested for the years 1982–1985. The model was run for 51 weather stations in the 14 states of the Cornbelt, which account for 85% of U.S. maize production.
T HODGES, D BOTNER, C SAKAMOTO, J HAYSHAUG   +3 more
openaire   +1 more source

The effect of salinity on corn yield using the CERES-maize model

Irrigation and Drainage Systems, 1997
In most cases, when calculating soil water availability, only thewater content is considered. The effect of salinity on the wiltingpoint is neglected. The objective of this work is to use asimulation model (CERES-maize) in order to predict cornyields as a function of water salinity under severalenvironmental, agrotechnical, and plant characteristics. A
José Beltrão, Jiftah Ben Asher
openaire   +1 more source

Performance Assessment of DSSAT / CERES ‐Maize Model in Simulating Evapotranspiration and Water Productivity Under Tropical Conditions

Journal of Agronomy and Crop Science
This study assessed the DSSAT/CERES‐Maize model's ability to simulate daily and cumulative ET, water productivity (WP) and water use efficiency (WUE) for maize in tropical conditions. Observed ET data were obtained using the Bowen ratio (BREB) method
Taís Souza dos Santos Dias, Livia Betanho Sandoval, M. L. D. de Melo, H. B. Brunetti, T. G. F. da Silva, F. R. Marin   +5 more
semanticscholar   +1 more source

On the application of the CERES-Maize model to the North China Plain

Agricultural and Forest Meteorology, 1989
Abstract The crop-environment resource synthesis (CERES)-Maize model was used to simulate maize yields for 1979–1984 in Anhui, Jiangsu, Shandong, Henan and Hebei provinces in the North China Plain. The model was calibrated for the five provinces by developing five sets of genetic parameters using data for 1979 and 1980.
Yihua Wu, C.M. Sakamoto, D.M. Botner
openaire   +1 more source

Evaluating maize growth models “CERES-Maize” and “IXIM-Maize” under elevated temperature conditions

Journal of Crop Science and Biotechnology, 2015
It would be preferable to use a reliable crop growth model for studies on climate change impact assessment. The objectives of this study was to evaluate simulation performance for two maize models, including CERES-Maize and IXIM models, included in the DSSAT model (version 4.6) in terms of phenology and yield. Two early maturing cultivars, Chalok#1 and
Ho-Young Ban, Dana Sim, Kyu-Jong Lee, Junhwan Kim, Kwang Soo Kim, Byun-Woo Lee   +5 more
openaire   +1 more source

Estimating Genetic Coefficients for the CSM‐CERES‐Maize Model in North Carolina Environments

Agronomy Journal, 2009
CSM‐CERES‐Maize has been extensively used worldwide to simulate corn growth and grain production, but has not been evaluated for use in North Carolina. The objectives of this study were to calibrate CSM‐CERES‐Maize soil parameters and genetic coefficients using official variety trial data, evaluate model performance in North Carolina, and determine the
Zhengyu Yang, Gail G. Wilkerson, Gregory S. Buol, Daryl T. Bowman, Ronnie W. Heiniger   +4 more
openaire   +1 more source

Simulating Planting Date Effects on Corn Production Using RZWQM and CERES‐Maize Models

Agronomy Journal, 2005
Corn (Zea mays L.) production in northeastern Colorado is constrained by a frost‐free period averaging 11 May to 27 September. For optimization of yield, planting at the appropriate time to fit the hybrid maturity length and growing season is critical. Crop models could be used to determine optimum planting windows for a locality.
Saseendran S. Anapalli, L. Ma, D. C. Nielsen, M. F. Vigil, L. R. Ahuja   +4 more
openaire   +1 more source