Documentation WOFOST

Documentation WOFOST

Manuals and reference guides

Presentations about WOFOST

Publications about or using WOFOST

Reference publications

Regional yield forecasting

  • Haberle, J. and Van Diepen, C.A., 1999. Variability of potential and water-limited sugar beet and spring wheat yields simulated with WOFOST model. Rostlinna Vyroba, 45(10): 433-438.
  • Lecerf, R., Ceglar, A., López-Lozano, R., Van Der Velde, M. and Baruth, B., 2019. Assessing the information in crop model and meteorological indicators to forecast crop yield over Europe. Agricultural systems, 168, pp.191-202.
  • López-Lozano, R. and Baruth, B., 2019. An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system. Agricultural systems, 168, pp.231-246.
  • Supit, I., 1997. Predicting national wheat yields using a crop simulation and trend models. Agricultural and Forest Meteorology, 88(1-4): 199-214.
  • Toreti, A., Maiorano, A., De Sanctis, G., Webber, H., Ruane, A.C., Fumagalli, D., Ceglar, A., Niemeyer, S. and Zampieri, M., 2019. Using reanalysis in crop monitoring and forecasting systems. Agricultural systems, 168, pp.144-153.
  • Van der Velde, M. and Nisini, L., 2019. Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015. Agricultural systems, 168, pp.203-212.
  • Vossen, P. and Rijks, D., 1995. Early crop yield assessment of the E.U. countries: the system implemented by the Joint Research Centre. EUR 16318, Publication of the Office for Offical Publications of the E.C., Luxembourg.
  • Wit A.J.W.d., Baruth B, Boogaard H, van Diepen K, van Kraalingen D, Micale F, te Roller J, Supit I, van den Wijngaart R 2010. Using ERA-INTERIM for regional crop yield forecasting in Europe. Climate Research. DOI: 10.3354/cr00872.
  • Wit, A. de. 2007. Regional crop yield forecasting using probalistic crop growth modelling and remote sensing data assimilation. PhD Thesis Wageningen University (http://edepot.wur.nl/18265).
  • Wit, A.J.W.d., Boogaard, H.L. and Diepen, C.A.v., 2005. Spatial resolution of precipitation and radiation: The effect on regional crop yield forecasts. Agricultural and Forest Meteorology, 135(1-4): 156-168.

Climate Change

  • Alexandrov, V.A. and Eitzinger, J., 2005. The potential effect of climate change and elevated air carbon dioxide on agricultural crop production in central and southeastern Europe. Journal of Crop Improvement, 13(1-2): 291-331.
  • Bassu, S., Brisson, N., Durand, J.L., Boote, K., Lizaso, J., Jones, J.W., Rosenzweig, C., Ruane, A.C., Adam, M., Baron, C. and Basso, B., 2014. How do various maize crop models vary in their responses to climate change factors?. Global change biology, 20(7), pp.2301-2320.
  • Kanellopoulos, A., Reidsma, P., Wolf, J. and Van Ittersum, M.K., 2014. Assessing climate change and associated socio-economic scenarios for arable farming in the Netherlands: An application of benchmarking and bio-economic farm modelling. European journal of agronomy, 52, pp.69-80.
  • Kroes, J.G., Supit, I., 2011. Impact analysis of drought and salinity on grassland production in the Netherlands using historical and future climate data. Agriculture, Ecosystems and Environment. 144:370-381. DOI:10.1016/j.agee.2011.09.008.
  • Marletto, V. et al., 2005. Evaluation of downscaled DEMETER multi-model ensemble seasonal hindcasts in a nothern Italy location by means of a model of wheat growth and soil water balance. Tellus, Series A: Dynamic Meteorology and Oceanography, 57(3): 488-497.
  • Reidsma, P., Wolf, J., Kanellopoulos, A., Schaap, B.F., Mandryk, M., Verhagen, J. and van Ittersum, M.K., 2015. Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands. Environmental Research Letters, 10(4), p.045004.
  • Rötter, R., Veeneklaas, F.R. and C.A. van Diepen (1995). Impacts of changes in climate and socio-economic factors on land use in the Rhine basin: projections for the decade 2040-49.- Proceedings, International Conference of Climate Change Research, Maastricht 6-9 December 1994, Elsevier, Amsterdam, The Netherlands.
  • Rötter, R.P. and C.A. van Diepen (1994). Rhine basin study: Land use projections based on biophysical and socio-economic analyses. Volume 2.Climate change impact on crop yield and water use. SC-DLO Report 85.2 Wageningen, The Netherlands.
  • Schaap, B.F., Reidsma, P., Verhagen, J., Wolf, J. and van Ittersum, M.K., 2013. Participatory design of farm level adaptation to climate risks in an arable region in The Netherlands. European journal of agronomy, 48, pp.30-42.
  • Supit, I., van Diepen, C.A., de Wit, A.J.W., Wolf, J., Kabata, P., Baruth, B., Ludwig, F., 2012. Assessing climate change effects on European crop yields using the Crop Growth Monitoring System and a weather generator. Agricultural and Forest Meteorology, 164:96–111
  • Supit, I., Van Diepen, C.A., De Wit, A.J.W., Kabat, P., Baruth, B. and Ludwig, F., 2010. Recent changes in the climatic yield potential of various crops in Europe. Agricultural Systems, 103(9), pp.683-694.
  • Supit, I., van Diepen, C.A., Boogaard, H.L., Ludwig, F. and Baruth, B., 2010. Trend analysis of the water requirements, consumption and deficit of field crops in Europe. Agricultural and Forest Meteorology, 150(1): 77-88.
  • Van Walsum, P.E.V., Supit, I., 2012. Influence of ecohydrologic feedbacks from simulated crop growth on integrated regional hydrologic simulations under climate scenarios. Hydrol. Earth Syst. Sci., 16, 1577-1593. doi:10.5194/hess-16-1577-2012.
  • Wolf, J. and van Diepen, C.A., 1995. Effects of climate change on grain maize yield potential in the European Community. Climatic Change, 29(3): 299-331.
  • Wolf, J. and van Diepen, C.A., 1994. Effects of climate change on silage maize production potential in the European Community. Agricultural and Forest Meteorology, 71(1-2): 33-60.
  • Wolf, J., 1993. Effects of climate change on wheat production potential in the European Community. European Journal of Agronomy, 2(4): 281-292.

Crop yield analysis

  • Boogaard, H., Wolf, J., Supit, I., Niemeyer, S., Van Ittersum, M., 2013. A regional implementation of WOFOST for calculating yield gaps of autumn-sown wheat across the European Union. Field Crops Res., 143 (2013), pp 130–142.
  • Dobermann, A, Dawe, D, Rötter, RP & KG Cassman (2000). Reversal of rice yield decline in a long-term continuous cropping experiment. Agronomy Journal, 92:633-643.
  • Global Yield Gap Atlas (www.yieldgap.org). The Global Yield Gap and Water Productivity Atlas (GYGA) provides robust estimates of untapped crop production potential on existing farmland based on current climate and available soil and water resources. Specifically the national reports on crop calibrations to be accessed via www.yieldgap.org/en/web/guest/yieldgaps.
  • Rötter, R, Van Keulen, H., Jansen, MJW (1997). Variations in yield response to fertilizer application in the tropics: I. Quantifying risks and opportunities for smallholders based on crop growth simulation. Agricultural Systems, 53: 41-68.
  • Rötter, R & H Van Keulen, (1997). Variations in yield response to fertilizer application in the tropics: II. Risks and opportunities for smallholders cultivating maize on Kenya’s arable land. Agricultural Systems, 53: 69-95.
  • Rötter, R. and C. Dreiser (1994). Extrapolation of maize fertilizer trial results by using crop-growth simulation: Results for Murang'a district, Kenya. In: L.O. Fresco, L. Stroosnijder, J. Bouma & H. Van Keulen, eds., The Future of the Land, Mobilising and Integrating knowledge for land use options, John Wiley & Sons, p.249-260.
  • Rötter, R.P. (1993) Simulation of the biophysical limitations to maize production under rainfed conditions in Kenya. Evaluation and application of the model WOFOST. PhD Thesis, Universität Trier, Germany (= Materialien zur Ostafrika-Forschung, Heft 12), 297 p.
  • Schils, R., Olesen, J.E., Kersebaum, K.C., Rijk, B., Oberforster, M., Kalyada, V., Khitrykau, M., Gobin, A., Kirchev, H., Manolova, V. and Manolov, I., 2018. Cereal yield gaps across Europe. European journal of agronomy, 101, pp.109-120.
  • Timsina, J., Wolf, J., Guilpart, N., Van Bussel, L.G.J., Grassini, P., Van Wart, J., Hossain, A., Rashid, H., Islam, S. and Van Ittersum, M.K., 2018. Can Bangladesh produce enough cereals to meet future demand?. Agricultural systems, 163, pp.36-44.
  • Van Ittersum, Martin K., et al. "Can sub-Saharan Africa feed itself?." Proceedings of the National Academy of Sciences 113.52 (2016): 14964-14969.

Satellite data assimilation

  • Curnel, Y., de Wit, A.J.W., Duveiller, G. and Defourny, P., 2011. Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS Experiment. Agricultural and Forest Meteorology, 151(12): 1843-1855.
  • Roerink, G.J., Bojanowski, J.S., de Wit, A.J.W., Eerens, H., Supit, I., Leo, O. and Boogaard, H.L., 2012. Evaluation of MSG-derived global radiation estimates for application in a regional crop model. Agricultural and Forest Meteorology, 160: 36-47. doi:10.1016/j.agrformet.2012.02.006.
  • Shi, Liangsheng, Shun Hu, and Yuanyuan Zha. “Estimation of Sugarcane Yield by Assimilating UAV and Ground Measurements Via Ensemble Kalman Filter.” In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 8816–19. IEEE, 2018.
  • Wit A.J.W.d., Duveiller, G. and Defourny, P., 2012. Estimating regional winter wheat yield with WOFOST through the assimilation of green area index retrieved from MODIS observations. Agricultural and Forest Meteorology, 164: 39-52. http://dx.doi.org/10.1016/j.agrformet.2012.04.011.
  • Wit A.J.W.d. and van Diepen, C.A., 2008. Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs. International Journal of Applied Earth Observation and Geoinformation, 10(4): 414-425
  • Wit A.J.W.d. and van Diepen, C.A., 2007. Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts. Agricultural and Forest Meteorology, 146(1-2): 38-56
  • Wit A.J.W.d., Boogaard, H.L. and van Diepen, C.A., 2004. Using NOAA-AVHRR estimates of land surface temperature for regional agrometeorogical modelling. International Journal of Applied Earth Observation and Geoinformation, 5(3): 187-204
  • Wit A.J.W.d., 1999. Application of a genetic algorithm for crop model steering using NOAA-AVHRR data, Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of the 1999 Remote Sensing for Earth Science, Ocean, and Sea Ice Applications. Society of Photo-Optical Instrumentation Engineers, Florence, Italy, pp. 167-181.
  • Yuping, M. et al., 2008. Monitoring winter wheat growth in North China by combining a crop model and remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 10(4): 426-437.

Sensitivity analysis of WOFOST

  • Confalonieri, Roberto. “Monte Carlo Based Sensitivity Analysis of Two Crop Simulators and Considerations on Model Balance.” European Journal of Agronomy 33, no. 2 (2010): 89–93.
  • Gilardelli, Carlo, Roberto Confalonieri, Giovanni Alessandro Cappelli, and Gianni Bellocchi. “Sensitivity of WOFOST-Based Modelling Solutions to Crop Parameters under Climate Change.” Ecological Modelling 368 (2018): 1–14.
  • Müller, C., Elliott, J., Kelly, D., Arneth, A., Balkovic, J., Ciais, P., Deryng, D., Folberth, C., Hoek, S., Izaurralde, R.C. and Jones, C.D., 2019. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. Scientific data, 6(1), p.50.
  • Paleari, Livia, and Roberto Confalonieri. “Sensitivity Analysis of a Sensitivity Analysis: We Are Likely Overlooking the Impact of Distributional Assumptions.” Ecological Modelling 340 (2016): 57–63.
  • Pirttioja, N., Carter, T.R., Fronzek, S., Bindi, M., Hoffmann, H., Palosuo, T., Ruiz-Ramos, M., Tao, F., Trnka, M., Acutis, M. and Asseng, S., 2015. Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces. Climate Research, 65, pp.87-105.
  • Richter, G. M., M. Acutis, P. Trevisiol, K. Latiri, and R. Confalonieri. “Sensitivity Analysis for a Complex Crop Model Applied to Durum Wheat in the Mediterranean.” European Journal of Agronomy 32, no. 2 (2010): 127–36.
  • Reidsma, P., Ewert, F., Boogaard, H. and Diepen, K.v., 2009. Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics on maize yields. Agricultural Systems, 100(1-3): 51-60.
  • Ruane, A.C., Hudson, N.I., Asseng, S., Camarrano, D., Ewert, F., Martre, P., Boote, K.J., Thorburn, P.J., Aggarwal, P.K., Angulo, C. and Basso, B., 2016. Multi-wheat-model ensemble responses to interannual climate variability. Environmental modelling & software, 81, pp.86-101.
  • Ruiz-Ramos, M., Ferrise, R., Rodríguez, A., Lorite, I.J., Bindi, M., Carter, T.R., Fronzek, S., Palosuo, T., Pirttioja, N., Baranowski, P. and Buis, S., 2018. Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment. Agricultural Systems, 159, pp.260-274.
  • Wang, Jing, Xin Li, Ling Lu, and Feng Fang. “Parameter Sensitivity Analysis of Crop Growth Models Based on the Extended Fourier Amplitude Sensitivity Test Method.” Environmental Modelling & Software 48 (2013): 171–82.

Selected papers on WOFOST calibration/validation studies for major crops

Barley

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. Crop-Specific Simulation Parameters for Yield Forecasting across the European Community. CABO-DLO [etc.], 1993.
  • Habekotté, B. Evaluatie van Een Gewasgroeimodel Voor Opbrengstberekening van Verschillende Gewassen Uitgevoerd Ten Behoeve van Het Project" Introductie Geintegreerde Akkerbouw". AB-DLO, 1994.
  • Peltonen-Sainio, Pirjo, Lauri Jauhiainen, Taru Palosuo, Kaija Hakala, and Kimmo Ruosteenoja. “Rainfed Crop Production Challenges under European High-Latitude Conditions.” Regional Environmental Change 16, no. 5 (2016): 1521–33.
  • Pohanková, E., P. Hlavinka, M. Orság, J. Takáč, K. C. Kersebaum, A. Gobin, and M. Trnka. “Estimating the Water Use Efficiency of Spring Barley Using Crop Models.” The Journal of Agricultural Science 156, no. 5 (2018): 628–44.
  • Rötter, Reimund P., Taru Palosuo, Kurt Christian Kersebaum, Carlos Angulo, Marco Bindi, Frank Ewert, Roberto Ferrise, Petr Hlavinka, Marco Moriondo, and Claas Nendel. “Simulation of Spring Barley Yield in Different Climatic Zones of Northern and Central Europe: A Comparison of Nine Crop Models.” Field Crops Research 133 (2012): 23–36.

Cotton

  • Bessembinder, J. J. E., A. S. Dhindwal, P. A. Leffelaar, T. C. Ponsioen, and Sher Singh. “Analysis of Crop Growth.” In Water Productivity of Irrigated Crops in Sirsa District, India, 59–83. Wageningen UR, 2003.
  • Falagas, A., and K. Karantzalos. “A Cotton Yield Estimation Model Based on Agrometeorological and High Resolution Remote Sensing Data.” In Precision Agriculture’19, 41–76. Wageningen Academic Publishers, 2019.
  • Venugopalan, M. V., P. Tiwary, D. K. Mandal, and O. Challa. “Validation and Application of WOFOST Model for Yield Gap Analysis in Selected Soils of Maharashtra.” Agropedology 20, no. 1 (2010): 30–37.

Field beans

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. Crop-Specific Simulation Parameters for Yield Forecasting across the European Community. CABO-DLO [etc.], 1993.
  • Habekotté, B. Evaluatie van Een Gewasgroeimodel Voor Opbrengstberekening van Verschillende Gewassen Uitgevoerd Ten Behoeve van Het Project" Introductie Geintegreerde Akkerbouw". AB-DLO, 1994.

Maize

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. “Crop-Specific Simulation Parameters for Yield Forecasting across the European Community.” CABO-DLO [etc.], 1993.
  • Bussay, Attila, Marijn van der Velde, Davide Fumagalli, and Lorenzo Seguini. “Improving Operational Maize Yield Forecasting in Hungary.” Agricultural Systems 141 (2015): 94–106.
  • Cheng, Zhiqiang, Jihua Meng, and Yiming Wang. “Improving Spring Maize Yield Estimation at Field Scale by Assimilating Time-Series HJ-1 CCD Data into the WOFOST Model Using a New Method with Fast Algorithms.” Remote Sensing 8, no. 4 (2016): 303.
  • Danalatos, N. G., C. S. Kosmas, P. M. Driessen, and N. Yassoglou. “The Change in the Specific Leaf Area of Maize Grown under Mediterranean Conditions.” Agronomie 14, no. 7 (1994): 433–43.
  • Djaby, Bakary, Kouadio Louis, Moussa El Jarroudi, De Wit Allard, and Bernard Tychon. “Spatial Distribution of Calibrated WOFOST Parameters and Their Influence on the Performances of a Regional Yield Forecasting System.” Sustainable Agriculture Research, 2013.
  • Eweys, Omar Ali, Abeer A. Elwan, and Taha I. Borham. “Integrating WOFOST and Noah LSM for Modeling Maize Production and Soil Moisture with Sensitivity Analysis, in the East of The Netherlands.” Field Crops Research 210 (2017): 147–61.
  • Hack ten Broeke, M.J., Kroes, J.G., Bartholomeus, R.P., Dam, J.C.V., de Wit, A.J., Supit, I., Walvoort, D.J., Bakel, P.J.T. and Ruijtenberg, R., 2016. Quantification of the impact of hydrology on agricultural production as a result of too dry, too wet or too saline conditions. Soil, 2(3), pp.391-402.
  • Hassanli, Mohammad, Hamed Ebrahimian, Ehsan Mohammadi, Amirreza Rahimi, and Amirhossein Shokouhi. “Simulating Maize Yields When Irrigating with Saline Water, Using the AquaCrop, SALTMED, and SWAP Models.” Agricultural Water Management 176 (2016): 91–99.
  • Kassie, B. T., M. K. Van Ittersum, H. Hengsdijk, S. Asseng, J. Wolf, and Reimund P. Rötter. “Climate-Induced Yield Variability and Yield Gaps of Maize (Zea Mays L.) in the Central Rift Valley of Ethiopia.” Field Crops Research 160 (2014): 41–53.
  • Li, Y., W. Kinzelbach, J. Zhou, G. D. Cheng, and X. Li. “Modelling Irrigated Maize with a Combination of Coupled-Model Simulation and Uncertainty Analysis, in the Northwest of China.” Hydrology and Earth System Sciences 16, no. 5 (2012): 1465–80.
  • Liu, Buchun, Xurong Mei, Guohua Lv, Youlu Yang, Meilan Bai, Yongfeng Wu, Jiqing Song, and Wenbo Bai. “The Maize Evapotranspiration in the Background of Climate Change: A Case Study in Arid Area.” Hydrological Processes 26, no. 5 (2012): 633–39.
  • Wokabi, S. M. “Effectiveness of the Wofost Simulation Model to Predict Maize Yield Gaps on the Eastern Slopes of Mt Kenya.” East African Agricultural and Forestry Journal 69, no. 2 (2003): 139–47.
  • Wu, Dingrong, Qiang Yu, Enli Wang, and Huib Hengsdijk. “Impact of Spatial-Temporal Variations of Climatic Variables on Summer Maize Yield in North China Plain.” International Journal of Plant Production, 2008.
  • Zhang, SuQing, JianTao Zhang, JiRui Li, YongZheng Cheng, and GuoQiang Li. “Calibration and Validation of WOFOST in Main Maize-Producing Regions in Henan.” Journal of Henan Agricultural Sciences 43, no. 8 (2014): 152–56.

Millet

  • Dutta, Dipanwita, N. R. Patel, and V. Venus. Analyzing The Applicability Of PS-N Crop Growth Model For Prediction Of Millet Yield In Eastern Rajasthan Of India, n.d.
  • Klaij, M. C., and G. Vachaud. “Seasonal Water Balance of a Sandy Soil in Niger Cropped with Pearl Millet, Based on Profile Moisture Measurements.” Agricultural Water Management 21, no. 4 (1992): 313–30.

Potato

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. “Crop-Specific Simulation Parameters for Yield Forecasting across the European Community.” CABO-DLO [etc.], 1993.
  • De Koning, G. H. J., C. A. Van Diepen, and G. J. Reinds. “Crop Growth Model WOFOST Applied to Potatoes.” In Modelling and Parameterization of the Soil-Plant-Atmosphere System: A Comparison of Potato Growth Models, 275–97, 1995.
  • Dua, V. K., P. M. Govindakrishnan, and B. P. Singh. “Calibration of WOFOST Model for Potato in India.” Potato Journal 41, no. 2 (2014).
  • Dua, V. K., J. S. Minhas, Sanjay Rawal, S. P. Singh, S. K. Singh, Prince Kumar, Radhika Pathania, Tanvi Kapoor, Jagdev Sharma, and S. K. Sharma. “Calibration and Validation of WOFOST Model for Seven Potato (Solanum Tuberosum) Cultivars in India.” Indian Journal of Agronomy 63, no. 3 (2018): 357–65.
  • Habekotté, B. Evaluatie van Een Gewasgroeimodel Voor Opbrengstberekening van Verschillende Gewassen Uitgevoerd Ten Behoeve van Het Project" Introductie Geintegreerde Akkerbouw". AB-DLO, 1994.
  • Mazurczyk, W., B. Lutomirska, and A. Wierzbicka. “Relation between Air Temperature and Length of Vegetation Period of Potato Crops.” Agricultural and Forest Meteorology 118, no. 3–4 (2003): 169–72.
  • Wang, N., P. Reidsma, A. A. Pronk, A. J. W. de Wit, and M. K. van Ittersum. “Can Potato Add to China’s Food Self-Sufficiency? The Scope for Increasing Potato Production in China.” European Journal of Agronomy 101 (2018): 20–29.
  • Yan, Yulin, Pytrik Reidsma, and Joop Kroes. “Application of SWAP-WOFOST to Evaluate the Influence of Water and Oxygen Stress on Potato Yield in a Dutch Farm.” Unpublished M. Sc, Plant Production Systems. Thesis, Wageningen Agricultural University, Department of Plant Production Systems, Wageningen, The Netherlands, 2015, 61.

Rapeseed

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. “Crop-Specific Simulation Parameters for Yield Forecasting across the European Community.” CABO-DLO [etc.], 1993.
  • Gilardelli, C., T. Stella, N. Frasso, G. Cappelli, S. Bregaglio, M. E. Chiodini, B. Scaglia, and R. Confalonieri. “WOFOST-GTC: A New Model for the Simulation of Winter Rapeseed Production and Oil Quality.” Field Crops Research 197 (2016): 125–32.

Rice

  • Bessembinder, J. J. E., A. S. Dhindwal, P. A. Leffelaar, T. C. Ponsioen, and Sher Singh. “Analysis of Crop Growth.” In Water Productivity of Irrigated Crops in Sirsa District, India, 59–83. Wageningen UR, 2003.
  • Biswas, Ria, Saon Banerjee, and Banjul Bhattacharyya. “Impact of Temperature Increase on Performance of Kharif Rice at Kalyani, West Bengal Using WOFOST Model.” Journal of Agrometeorology 20, no. 1 (2018): 28–30.
  • Cabrerea, JMCA, R. Roetter, and H. H. Van Laar. “Preliminary Results of Crop Model Development and Evaluation for Rice,” 1998.
  • Confalonieri, Roberto, Marco Acutis, Gianni Bellocchi, and Marcello Donatelli. “Multi-Metric Evaluation of the Models WARM, CropSyst, and WOFOST for Rice.” Ecological Modelling 220, no. 11 (2009): 1395–1410.
  • Dobermann, Achim, David Dawe, Reimund P. Roetter, and Kenneth G. Cassman. “Reversal of Rice Yield Decline in a Long-Term Continuous Cropping Experiment.” Agronomy Journal 92, no. 4 (2000): 633–43.
  • Ma, Shangjie, Zhiyuan Pei, and Yajuan He. “Study on Simulation of Rice Yield with WOFOST in Heilongjiang Province.” In International Conference on Computer and Computing Technologies in Agriculture, 40–51. Springer, 2016.
  • Mukherjee, JOYDEEP, G. Singh, S. K. Bal, HARPREET Singh, and P. Kaur. “Comparative Evaluation of WOFOST and ORYZA2000 Models in Simulating Growth and Development of Rice (Oryza Sativa L.) in Punjab.” J Agrometeorol 13, no. 2 (2011): 86–91.
  • Xie, Wenxia, Lijiao Yan, and Guanghuo Wang. “Simulation and Validation of Rice Potential Growth Process in Zhejiang by Utilizing WOFOST Model.” Zhongguo Shuidao Kexue 20, no. 3 (2006): 319–23.

Sorghum

  • Wolf, J., K. Ouattara, and I. Supit. “Sowing Rules for Estimating Rainfed Yield Potential of Sorghum and Maize in Burkina Faso.” Agricultural and Forest Meteorology 214 (2015): 208–18.

Sugar beet

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. “Crop-Specific Simulation Parameters for Yield Forecasting across the European Community.” CABO-DLO [etc.], 1993.
  • Habekotté, B. “Evaluatie van Een Gewasgroeimodel Voor Opbrengstberekening van Verschillende Gewassen Uitgevoerd Ten Behoeve van Het Project" Introductie Geintegreerde Akkerbouw".” AB-DLO, 1994.
  • Haberle, J., and J. Klir. “Simulated and Observed Sugar Beet and Spring Wheat Yields and Yield Variability in a Long-Term Field Experiment.” Rostlinna Vyroba-UZPI (Czech Republic), 2001.

Sugarcane

  • Hu, Shun, Liangsheng Shi, Kai Huang, Yuanyuan Zha, Xiaolong Hu, Hao Ye, and Qi Yang. “Improvement of Sugarcane Crop Simulation by SWAP-WOFOST Model via Data Assimilation.” Field Crops Research 232 (2019): 49–61.
  • Scarpare, Fábio Vale. Simulação Do Crescimento Da Cana-de-Açúcar Pelo Modelo Agrohidrológico SWAP/WOFOST. Universidade de Sao Paulo, Escola Superior de Agricultura ‘Luiz de Queiroz’, Piracicaba, Brazil, 2011.
  • Shi, Liangsheng, Shun Hu, and Yuanyuan Zha. “Estimation of Sugarcane Yield by Assimilating UAV and Ground Measurements Via Ensemble Kalman Filter.” In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 8816–19. IEEE, 2018.

Sunflower

  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. “Crop-Specific Simulation Parameters for Yield Forecasting across the European Community.” CABO-DLO [etc.], 1993.
  • Ludwig, F., Biemans, H., Jacobs, C., Supit, I., van Diepen, C.A., Fawell, J., Capri, E. and Steduto, P., 2011. Water use of oil crops: current water use and future outlooks. ILSI Europe aisbl.
  • Todorovic, Mladen, Rossella Albrizio, Ljubomir Zivotic, Marie-Therese Abi Saab, Claudio Stöckle, and Pasquale Steduto. “Assessment of AquaCrop, CropSyst, and WOFOST Models in the Simulation of Sunflower Growth under Different Water Regimes.” Agronomy Journal 101, no. 3 (2009): 509–21.
  • Zhu, Jiangxu, Wenzhi Zeng, Tao Ma, Guoqing Lei, Yuanyuan Zha, Yuanhao Fang, Jingwei Wu, and Jiesheng Huang. Testing and Improving the WOFOST Model for Sunflower Simulation on Saline Soils of Inner Mongolia, China. Agronomy 8, no. 9 (2018): 172.

Wheat

  • Bessembinder, J. J. E., A. S. Dhindwal, P. A. Leffelaar, T. C. Ponsioen, and Sher Singh. “Analysis of Crop Growth.” In Water Productivity of Irrigated Crops in Sirsa District, India, 59–83. Wageningen UR, 2003.
  • Boogaard, Hendrik, Joost Wolf, Iwan Supit, Stefan Niemeyer, and Martin van Ittersum. “A Regional Implementation of WOFOST for Calculating Yield Gaps of Autumn-Sown Wheat across the European Union.” Field Crops Research 143 (2013): 130–42.
  • Boons-Prins, E. R., G. H. J. De Koning, and C. A. Van Diepen. “Crop-Specific Simulation Parameters for Yield Forecasting across the European Community.” CABO-DLO [etc.], 1993.
  • Bregaglio, Simone, Nicolò Frasso, Valentina Pagani, Tommaso Stella, Caterina Francone, Giovanni Cappelli, Marco Acutis, Riad Balaghi, Hassan Ouabbou, and Livia Paleari. “New Multi-Model Approach Gives Good Estimations of Wheat Yield under Semi-Arid Climate in Morocco.” Agronomy for Sustainable Development 35, no. 1 (2015): 157–67.
  • Castañeda-Vera, Alba, Peter A. Leffelaar, Jorge Álvaro-Fuentes, Carlos Cantero-Martínez, and M. I. Mínguez. “Selecting Crop Models for Decision Making in Wheat Insurance.” European Journal of Agronomy 68 (2015): 97–116.
  • Ceglar, A., R. Van der Wijngaart, A. De Wit, R. Lecerf, H. Boogaard, L. Seguini, M. Van den Berg, A. Toreti, M. Zampieri, and D. Fumagalli. “Improving WOFOST Model to Simulate Winter Wheat Phenology in Europe: Evaluation and Effects on Yield.” Agricultural Systems 168 (2019): 168–80.
  • Habekotté, B. Evaluatie van Een Gewasgroeimodel Voor Opbrengstberekening van Verschillende Gewassen Uitgevoerd Ten Behoeve van Het Project" Introductie Geintegreerde Akkerbouw". AB-DLO, 1994.
  • Huang, Jianxi, Shiling Jia, Hongyuan Ma, Yingyu Hou, and Liang He. “Dynamic Simulation of Growth Process of Winter Wheat in Main Production Areas of China Based on WOFOST Model.” Transactions of the Chinese Society of Agricultural Engineering 33, no. 10 (2017): 222–28.
  • Ma, Guannan, Jianxi Huang, Wenbin Wu, Jinlong Fan, Jinqiu Zou, and Sijie Wu. “Assimilation of MODIS-LAI into the WOFOST Model for Forecasting Regional Winter Wheat Yield.” Mathematical and Computer Modelling 58, no. 3–4 (2013): 634–43.
  • Mishra, S. K, A. M. Shekh, S. B. Yadav, Anil Kumar, G. G. Patel, V. Pandey, and H. R. Patel. “Simulation of Growth and Yield of Four Wheat Cultivars Using WOFOST Model under Middle Gujarat Region.” Journal of Agrometeorology 15, no. 1 (2013): 43.
  • Mishra, Sudhir Kumar, A. M. Shekh, V. Pandey, S. B. Yadav, and H. R. Patel. “Sensitivity Analysis of Four Wheat Cultivars to Varying Photoperiod and Temperature at Different Phenological Stages Using WOFOST Model.” Journal of Agrometeorology 17, no. 1 (2015): 74.
  • Shekhar, Chander, Diwan Singh, R. Singh, and V. Rao. “Prediction of Wheat Growth and Yield Using WOFOST Model.” Journal of Agrometeorology (Special Issue-Part 2) 400 (2008): 402.
  • Song, Yanling, Deliang Chen, and Wenjie Dong. “Influence of Climate on Winter Wheat Productivity in Different Climate Regions of China, 1961–2000.” Climate Research 32, no. 3 (2006): 219–27.
  • Wolf, Joost, Rudi Hessel, Hendrik Boogaard, Allard de Wit, Wies Akkermans, and Kees van Diepen. “Modeling Winter Wheat Production across Europe with WOFOST—The Effect of Two New Zonations and Two Newly Calibrated Model Parameter Sets.” Methods of Introducing System Models into Agricultural Research, no. methodsofintrod (2011): 297–326.
  • Wu, Lu, Liping Feng, Yi Zhang, Jiachen Gao, and Jing Wang. “Comparison of Five Wheat Models Simulating Phenology under Different Sowing Dates and Varieties.” Agronomy Journal 109, no. 4 (2017): 1280–93.