On approaches and applications of the Wageningen crop models

Ittersum, M.K. van; Leffelaar, P.A.; Keulen, H. van; Kropff, M.J.; Bastiaans, L.; Goudriaan, J.

doi:10.1016/s1161-0301(02)00106-5

Cited by 535 publications

(316 citation statements)

References 77 publications

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“…Soil N availability is modeled from indigenous soil N and fertilizer N, without simulating any N transformation processes in the soil. The effect of N limitations on leaf area growth is accounted for a reduction factor based on the actual and maximum leaf N concentration, and the effect of N stress on leaf loss by a factor based on the actual and potential amount of N in the crop (Bouman et al, 2001;van Ittersum et al, 2003;Bouman and van Laar, 2006;Jing et al, 2007).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Artacho

Meza

Alcalde

2011

Chilean J. Agric. Res.

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ORYZA2000 is a growth model for tropical lowland rice (Oryza sativa L.) developed by the International Rice Research Institute and Wageningen University. This model has been evaluated extensively in a wide range of environments. However, reports examining japonica cultivars growing in temperate climates are scarce. In this study, ORYZA2000 was calibrated and evaluated using data from experiments carried out in the South-Central area of Chile. These experiments were performed on a japonica rice cultivar growing under an irrigated Mediterranean environment at various N rates. ORYZA2000 was then applied to explore potential yield and grain yield response to N fertilization under likely weather conditions in the major rice-producing area in Chile. ORYZA2000 was sufficiently accurate to simulate grain yield and crop N uptake at the end of the season. Final crop N uptake was simulated with a root mean squared error (RMSE) of 20 kg ha -1 (15%) and grain yield with a RMSE of 1666 kg ha -1 (19%). However, the prediction of biomass and N uptake of individual organs throughout the season was poor. A long-term simulation study confirmed a potential yield as high as 12 000 kg ha -1 in the Parral area, as well as the existence of a scope for yield increase. The yield response to N fertilization was predicted even at rates of 300 kg ha -1 , although a significant probability of low yields was also observed. This trend supports the need to incorporate dynamic N management in Chilean rice production.

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Section: Methodsmentioning

confidence: 99%

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Artacho

Meza

Alcalde

2011

Chilean J. Agric. Res.

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“…From a scientific perspective the model has a solid biophysical basis and included many algorithms that were developed and tested in earlier 'School of C. T. de Wit' crop models (see Bouman et al 1996, van Ittersum et al 2003 for an overview). The biophysical basis allowed the model to be applied over a large range of climatic and management conditions.…”

Section: Spatially Distributed Crop Growth Modelmentioning

confidence: 99%

Using ERA-INTERIM for regional crop yield forecasting in Europe

Wit¹,

Baruth²,

Boogaard³

et al. 2010

Clim. Res.

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Agrometeorological systems for regional crop yield forecasting have traditionally relied on weather data derived from weather stations for crop simulation and yield prediction. In recent years, numerical weather prediction (NWP) models have become an interesting source of weather data with the potential to replace observed weather data. This is a result of the steadily decreasing NWP grid sizes and the availability of long and consistent time-series through the so-called reanalysis projects. We evaluated the ERA-INTERIM reanalysis data set from the European Centre for Medium-range Weather Forecasting for regional crop yield forecasting. Crop simulations were carried out using 2 identical model implementations: one using interpolated observed weather, the other using weather data derived from ERA-INTERIM. Output for both sources of weather variables was generated for the EU27 and neighbouring countries and 14 crops, aggregated to national level and validated using reported crop yields from the European Statistical Office. The results indicate that the system performs very similar in terms of crop yield forecasting skill for both sources of weather variables. In 38% of the crop-country combinations, the forecasting error can be reduced by more than 10% of the baseline forecast (the trend only) for both sources of weather variables. In almost 20% of the crop-country combinations, the forecasting error can be reduced by more than 25% of the baseline forecast. The results demonstrate that the ERA-INTERIM data set is highly suitable for regional crop yield forecasting over Europe and may be used for implementing regional crop forecasting over data-sparse regions. Finally, we conclude that there is a need to improve the crop calendar and/or calibration for some of the modelled crops.

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“…In this model, daily potential grass reference evapotranspiration is simulated using a modified Penman approach with daily global radiation, air temperature, air humidity and wind speed as input, and growth of grass cover is calculated based on algorithms obtained from the WOFOST6.0 model (Supit et al 1994, van Ittersum 2003. The model calculates phenological development, CO 2 assimilation, transpiration, growth and maintenance respiration, distribution of assimilates between stem, leaf, fruit and root, as well as dry matter formation.…”

Section: Model For Grass-cover Growthmentioning

confidence: 99%

Modelling hourly evapotranspiration and soil water content at the grass-covered boundary-layer field site Falkenberg, Germany

Wegehenkel

Beyrich

2014

Hydrological Sciences Journal

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The study analyses a 2-year period of hourly rates of real evapotranspiration (ETr) derived from eddy covariance measurements and soil water contents at depths from 8 to 90 cm, monitored by time domain reflectometry probes at the grass-covered boundary-layer field site Falkenberg of the Lindenberg Meteorological Observatory -Richard-Aßmann-Observatory, operated by the German Meteorological Service (DWD). The ETr rates and soil water contents were compared with the results of a modelling approach consisting of the Penman-Monteith equation and the soil water balance model Hydrus-1D using a noncompensatory and a compensatory root-water uptake model. After optimization of soil hydraulic parameters by inverse modelling, using measured soil water contents as the objective function, simulated and measured model outputs showed good agreement for soil water contents above 90 cm depth and for ETr rates simulated by our modelling approaches using noncompensatory root-water uptake. The application of a compensatory root-water uptake model led to a decrease in the simulation quality for the total investigation period.

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On approaches and applications of the Wageningen crop models

Cited by 535 publications

References 77 publications

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Evaluation of the ORYZA2000 Rice Growth Model under Nitrogen-Limited Conditions in an Irrigated Mediterranean Environment

Using ERA-INTERIM for regional crop yield forecasting in Europe

Modelling hourly evapotranspiration and soil water content at the grass-covered boundary-layer field site Falkenberg, Germany

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