Crop models; Evapotranspiration; Maize; Simulation; Water use; Yield; Forestry; Global and Planetary Change; Agronomy and Crop Science; Atmospheric Science
Abstract :
[en] Accurate simulation of crop water use (evapotranspiration, ET) can help crop growth models to assess the likely effects of climate change on future crop productivity, as well as being an aid for irrigation scheduling for today's growers. To determine how well maize (Zea mays L.) growth models can simulate ET, an initial inter-comparison study was conducted in 2019 under the umbrella of AgMIP (Agricultural Model Inter-Comparison and Improvement Project). Herein, we present results of a second inter-comparison study of 41 maize models that was conducted using more comprehensive datasets from two additional sites - Mead, Nebraska, USA and Bushland, Texas, USA. There were 20 treatment-years with varying irrigation levels over multiple seasons at both sites. ET was measured using eddy covariance at Mead and using large weighing lysimeters at Bushland. A wide range in ET rates was simulated among the models, yet several generally were able to simulate ET rates adequately. The ensemble median values were generally close to the observations, but a few of the models sometimes performed better than the median. Many of the models that did well at simulating ET for the Mead site did poorly for drier, windy days at the Bushland site, suggesting they need to improve how they handle humidity and wind. Additional variability came from the approaches used to simulate soil water evaporation. Fortunately, several models were identified that did well at simulating soil water evaporation, canopy transpiration, biomass accumulation, and grain yield. These models were older and have been widely used, which suggests that a larger number of users have tested these models over a wider range of conditions leading to their improvement. These revelations of the better approaches are leading to model improvements and more accurate simulations of ET.
Disciplines :
Agriculture & agronomy
Author, co-author :
Kimball, Bruce A. ; U.S. Arid-Land Agricultural Research Center, USDA-ARS, Maricopa, United States
Thorp, Kelly R. ; U.S. Arid-Land Agricultural Research Center, USDA-ARS, Maricopa, United States
Boote, Kenneth J.; University of Florida, Agricultural and Biological Engineering, Gainesville, United States
Stockle, Claudio; Biological Systems Engineering, Washington State University, Pullman, United States
Suyker, Andrew E.; School of Natural Resources, University of Nebraska-Lincoln, Lincoln, United States
Evett, Steven R.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Brauer, David K.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Coyle, Gwen G.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Copeland, Karen S.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Marek, Gary W.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Colaizzi, Paul D.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Acutis, Marco; Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy
Archontoulis, Sotirios ; Iowa State University, Department of Agronomy, Ames
Babacar, Faye; Institut de recherche pour le développement (IRD) ESPACE-DEV, Montpellier Cedex, France
Barcza, Zoltán ; ELTE Eötvös Loránd University, Department of Meteorology, Budapest, Hungary ; Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Prague, Czech Republic
Basso, Bruno; Michigan State University, Dept. Geological Sciences and W.K. Kellogg Biological Station, East Lansing, United States
Bertuzzi, Patrick; US1116 AgroClim, INRAE centre de recherche Provence-Alpes-Côte d'Azur, France
Constantin, Julie; AGIR, Université de Toulouse, INRAE, INPT, INP- EI PURPAN, CastanetTolosan, France
De Antoni Migliorati, Massimiliano ; Queensland Department of Environment & Science, Australia
Dumont, Benjamin ; Université de Liège - ULiège > TERRA Research Centre > Plant Sciences
Durand, Jean-Louis ; Unité de Recherches Pluridisciplinaire Prairies et Plantes Fourragères, INRAE, Lusignan, France
Fodor, Nándor; Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Prague, Czech Republic ; Agricultural Institute, Centre for Agricultural Research, Martonvásár, Hungary
Gaiser, Thomas ; US1116 AgroClim, INRAE centre de recherche Provence-Alpes-Côte d'Azur, France
Garofalo, Pasquale; AGIR, Université de Toulouse, INRAE, INPT, INP- EI PURPAN, CastanetTolosan, France
Gayler, Sebastian ; Queensland Department of Environment & Science, Australia
Giglio, Luisa; Council for Agricultural Research and Economics, Agriculture and Environment Research Center, BARI, Italy
Grant, Robert; Department of Renewable Resources, University of Alberta, Edmonton, Canada
Guan, Kaiyu; College of Agricultural, Consumer and Environmental Sciences (ACES), University of Illinois at Urbana-Champaign, Urbana, United States
Hoogenboom, Gerrit ; University of Florida, Agricultural and Biological Engineering, Gainesville, United States
Jiang, Qianjing; Department of Bioresource Engineering, Macdonald Campus, McGill University, Sanite-Anne-de-Bellevue, Canada
Kim, Soo-Hyung ; 25School of Environmental and Forest Sciences, University of Washington, Seattle, United States
Kisekka, Isaya; Agricultural Water Management and Irrigation Engineering, University of California Davis, Departments of Land, Air, Water Resources and of Biological and Agricultural Engineering, Davis, United States
Lizaso, Jon; Technical University of Madrid (UPM), Dept. Producción Agraria-CEIGRAM, Ciudad Universitaria, Madrid, Spain
Masia, Sara; Land and Water Management Department, IHE Delft Institute for Water Education, Delft, Netherlands
Meng, Huimin; Center of Agricultural Water Research, China Agricultural University, China
Mereu, Valentina ; Fondazione CMCC - Euro-Mediterranean Centre on Climate Change, Impacts on Agriculture, Forests and Ecosystem Services division (IAFES), Sassari, Italy
Mukhtar, Ahmed; Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan and Swedish University of Agricultural Sciences, Umea, Sweden
Perego, Alessia; Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy
Peng, Bin; College of Agricultural, Consumer and Environmental Sciences (ACES), University of Illinois at Urbana-Champaign, Urbana, United States
Priesack, Eckart; Helmholtz Center Munich, Institute of Biochemical Plant Pathology, Neuherberg, Germany
Qi, Zhiming; Department of Bioresource Engineering, Macdonald Campus, McGill University, Sanite-Anne-de-Bellevue, Canada
Shelia, Vakhtang ; University of Florida, Agricultural and Biological Engineering, Gainesville, United States
Spano, Donatella; Fondazione CMCC - Euro-Mediterranean Centre on Climate Change, Impacts on Agriculture, Forests and Ecosystem Services division (IAFES), Sassari, Italy
Srivastava, Amit; Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
Thomson, Aimee ; University of Pretoria, Pretoria, South Africa
Timlin, Dennis; Crop Systems and Global Change Research Unit, USDA-ARS, Beltsville, United States
Trabucco, Antonio ; Fondazione CMCC - Euro-Mediterranean Centre on Climate Change, Impacts on Agriculture, Forests and Ecosystem Services division (IAFES), Sassari, Italy
Webber, Heidi; Leibniz Centre for Agricultural Landscape Research (ZALF), Mucheberg, Germany
Weber, Tobias ; Universitat Hohenheim, Institute of Soil Science and Land Evaluation, Stuttgart, Germany
Willaume, Magali ; AGIR, Université de Toulouse, INRAE, INPT, INP- EI PURPAN, CastanetTolosan, France
Williams, Karina ; Hadley Centre, FitzRoy, United Kingdom ; Global Systems Institute, University of Exeter, Exeter, United Kingdom
van der Laan, Michael; University of Pretoria, Pretoria, South Africa
Ventrella, Domenico ; Council for Agricultural Research and Economics, Agriculture and Environment Research Center, BARI, Italy
Viswanathan, Michelle; Universitat Hohenheim, Institute of Soil Science and Land Evaluation, Stuttgart, Germany
Xu, Xu; Center of Agricultural Water Research, China Agricultural University, China
Zhou, Wang ; College of Agricultural, Consumer and Environmental Sciences (ACES), University of Illinois at Urbana-Champaign, Urbana, United States
We appreciate access to the comprehensive dataset from Mead, Nebraska, USA, which was collected by the following scientists: Shashi B. Verma, Achim Dobermann, Kenneth G. Cassman, Daniel T. Walters, Johannes M. Knops, Timothy J. Arkebauer, George G. Burba, Brigid Amos, Haishum Yang, Daniel Ginting, Kenneth G. Hubbard, Anatoly A. Gitelson, and Elizabeth A. Walter-Shea. The dataset was collected with support from the DOE-Office of Science (BER: Grant Nos. DE-FG03–00ER62996 and DE-FG02–03ER63639 ), DOE-EPSCoR (Grant No. DE-FG02–00ER45827 ), and the Cooperative State Research, Education, and Extension Service, US Department of Agriculture (Agreement No. 2001–38700–11092 ). Funding was also provided by the National Multidisciplinary Laboratory for Climate Change , RRF-2.3.1–21–2022–00014 project. Additional support was provided by grant " Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution ", No. CZ.02.1.01/0.0/0.0/16_019/0000803 financed by OP RDE. KW was supported by the Met Office Hadley centre Climate Programme funded by BEIS .We appreciate access to the comprehensive dataset from Mead, Nebraska, USA, which was collected by the following scientists: Shashi B. Verma, Achim Dobermann, Kenneth G. Cassman, Daniel T. Walters, Johannes M. Knops, Timothy J. Arkebauer, George G. Burba, Brigid Amos, Haishum Yang, Daniel Ginting, Kenneth G. Hubbard, Anatoly A. Gitelson, and Elizabeth A. Walter-Shea. The dataset was collected with support from the DOE-Office of Science (BER: Grant Nos. DE-FG03–00ER62996 and DE-FG02–03ER63639), DOE-EPSCoR (Grant No. DE-FG02–00ER45827), and the Cooperative State Research, Education, and Extension Service, US Department of Agriculture (Agreement No. 2001–38700–11092). Funding was also provided by the National Multidisciplinary Laboratory for Climate Change, RRF-2.3.1–21–2022–00014 project. Additional support was provided by grant "Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution", No. CZ.02.1.01/0.0/0.0/16_019/0000803 financed by OP RDE. KW was supported by the Met Office Hadley centre Climate Programme funded by BEIS.
Allen, R.G., Pereira, L.S., Raes, D., Smith, M., Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. 1998, Food and Agriculture Organization of the United Nations, Rome, Italy FAO Irrigation and Drainage Paper 56.
Allen, R.G., Walter, I.A., Elliott, R., Howell, T., Itenfisu, D., Jensen, M., Snyder, R.L., The ASCE Standardized Reference Evapotranspiration Equation. 2005, American Society of Civil Engineers, Reston, Virginia, 195.
Annandale, J.G., Benade, N., Jovanovic, N.Z., Steyn, J.M., Du Sautoy, N., 1999. Facilitating irrigation by means of the soil water balance model. Water Research Commission, WRC Report No. 753/1/99, ISBN No. 1 86845 559 9, Pretoria, South Africa.
Asseng, S., Ewert, F., Rosenzweig, C., Jones, J.W., Hatfield, J.L., Ruane, A.C., Boote, K.J., Thorburn, P.J., Rötter, R.P., Cammarano, D., Brisson, N., Basso, B., Martre, P., Aggarwal, P.K., Angulo, C., Bertuzzi, P., Biernath, C., Challinor, A.J., Doltra, J., Gayler, S., Goldberg, R., Grant, R., Heng, L., Hooker, L., Hunt, L.A., Ingwersen, J., Izaurralde, R.C., Kersebaum, K.C., Müller, C., Naresh Kumar, S., Nendel, C., O'Leary, G., Olesen, J.E., Osborne, T.M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, M.A., I Shcherbak, I., Steduto, P., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Travasso, M., Waha, M.K., Wallach, D., White, J.W., Williams, J.R., Wolf, J., Uncertainties in simulating wheat yields under climate change. Nature Clim. Change 3 (2013), 827–832.
Asseng, S., Ewert, F., Martre, P., Rotter, R.P., Lobell, D.B., Cammarano, D., Kimball, B.A., Ottman, M.J., Wall, G.W., White, J.W., Reynolds, M.P., Alderman, P.D., Prasad, P.V.V., Aggarwal, P.K., Anothai, J., Basso, B., Biernath, C., Challinor, A.J., De Sanctis, G., Doltra, J., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L.A., Izaurralde, R.C., Jabloun, M., Jones, C.D., Kersebaum, K.C., Koehler, A.K., Muller, C., Naresh Kumar, S., Nendel, C., O/'Leary, G., Olesen, J.E., Palosuo, T., Priesack, E., Eyshi Rezaei, E., Ruane, A.C., Semenov, M.A., Shcherbak, I., Stockle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P.J., Waha, K., Wang, E., Wallach, D., Wolf, J., Zhao, Z., Zhu, Y., Rising temperatures reduce global wheat production. Nature Clim. Change 5 (2015), 143–147.
Basso, B., Ritchie, J.T., Simulating crop growth and biogeochemical fluxes in response to land management using the SALUS model. Hamilton, S.K., Doll, J.E., Robertson, G.P., (eds.) The Ecology of Agricultural Landscapes: Long-Term Research On the Path to Sustainability, 2015, Oxford University Press, New York, New York, USA, 252–274.
Bassu, S., Brisson, N., Durand, J.-L., Boote, K., Lizaso, J., Jones, J.W., Rosenzweig, C., Ruane, A.C., Adam, M., Baron, C., Basso, B., Biernath, C., Boogaard, H., Conijn, S., Corbeels, M., Deryng, D., DeSanctis, G., Gayler, S., Grassini, P., Hatfield, J., Hoek, S., Izaurralde, C., Jongschaap, R., Kemanian, A.R., Kersebaum, K.C., Kim, S.-H., Kumar, N.S., Makowski, D., Mueller, C., Nendel, C., Priesack, E., Pravia, M.V., Sau, F., Shcherbak, I., Tao, F., Teixeira, E., Timlin, D., Waha, K., How do various maize crop models vary in their responses to climate change factors?. Global Change Biol. 20 (2014), 2301–2320, 10.1111/gcb.12520.
Best, M.J., Pryor, M., Clark, D.B., Rooney, G.G., Essery, Ménard, C.B., Edwards, J.M., Hendry, M.A., Porson, A., Gedney, A.N., Mercado, L.M., Sitch, S., Blyth, E., Boucher, O., Cox, P.M., Grimmond, C.S.B., The Joint UK Land Environment Simulator (JULES), model description Part 1: energy and water fluxes. Geosci. Model Dev. 4:3 (2011), 677–699, 10.5194/gmd-4-677-2011 (01 September 2011).
Brisson, N., Perrier, A., A semi-empirical model of bare soil evaporation for crop simulation models. Water Resour. Res. 27 (1991), 719–727.
Brisson, N., Itier, B., L'Hotel, J.C., Lorendeau, J.Y., Parameterisation of the Shuttleworth-Wallace model to estimate daily maximum transpiration for use in crop models. Ecol. Model. 107 (1998), 159–169.
Brisson, N., Gary, C., Justes, E., Roche, R., Mary, B., Ripoche, D., Zimmer, D., Sierra, J., Bertuzzi, P., Burger, P., Bussière, F., Cabidoche, Y.M., Cellier, P., Debaeke, P., Gaudillère, J.P., Hènault, C., Maraux, F., Sequin, B., Sinoquet, H., An overview of crop model STICS. Eur. J. of Agron. 18 (2003), 309–332.
Cammarano, D., Rötter, R.P., Asseng, S., Ewert, F., Wallach, W., Martre, P., Hatfield, J.L., Jones, J.W., Rosenzweig, C., Ruane, A.C., Boote, K.J., Thorburn, P.J., Kersebaum, K.C., Aggarwal, P.K., Angulo, C., Basso, B., Bertuzzi, P., Biernath, C., Brisson, N., Challinor, A.J., Doltra, J., Gayler, S., Goldberg, R., Heng, L., Hooker, J.E., Hunt, L.A., Ingwersen, J., Izaurraldez, R.C., Müller, C., Kumar, S.N., Nendel, C., O'Leary, G., Olesen, J.E., Osborne, T.M., Priesack, E., Ripoche, D., Steduto, P., Stöckle, C.O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Travasso, M., Waha, K., White, J.W., Wolf, J., Uncertainty of wheat water use: simulated patterns and sensitivity to temperature and CO2. Field Crops Res 198 (2016), 80–92, 10.1016/j.fcr.2016.08.015.
Constantin, J., Willaume, M., Murgue, C., Lacroix, B., Therond, O., The soil-crop models STICS and AqYield predict yield and soil water content for irrigated crops equally well with limited data. Agric. For. Meteorol. 206 (2015), 55–68.
DeJonge, K.C., Thorp, K.R., Standardized reference evapotranspiration and dual crop coefficient approach in the DSSAT cropping system model. Trans. ASABE 60:6 (2017), 1965–1981.
Doorenbos, J., Pruitt. W.O., 1985. Guidelines for predicting crop water requirements. FAO Irrig. and Drain. Paper 24. FAO, Rome.
Durand, J.L., Delusca, K., Boote, K.J., Lizaso, J., Manderscheid, R., Weigel, H.J., Ruane, A.C., Rosenzweig, C., Ahuja, L., Anapalli, S., Basso, B., Baron, C., Bertuzzi, P., Deryng, D., Ewert, F., Gaiser, T., Gayler, S., Heinlein, F., Kersebaum, F.C., Kim, S.H., Muller, C., Nendel, C., Olioso, A., Priesack, E., Villegas, J.R., Ripoche, D., Seidel, S.I., Srivastava, A., Tao, F., Timlin, D., Twine, T., Wang, E., Webber, H., Zhao, Z., How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?. Eur. J. Agron., 2018 (in press).
Evett, S.R., Heng, L.K., Moutonnet, P., Nguyen, M.L., (eds.) Field Estimation of Soil Water content: A practical Guide to methods, instrumentation, and Sensor Technology, 2008, International Atomic Energy Agency, Vienna, Austria.
Evett, S.R., Kustas, W.P., Gowda, P.H., Anderson, M.C., Prueger, J.H., Howell, T.A., Overview of the Bushland evapotranspiration and agricultural remote sensing experiment 2008 (BEAREX08): a field experiment evaluating methods for quantifying ET at multiple scales. Adv. Water. Resour. 50 (2012), 4–19, 10.1016/j.advwatres.2012.03.010.
Evett, S.R., Marek, G.W., Colaizzi, P.D., Ruthardt, B.B., Copeland, K.S., A subsurface drip irrigation system for weighing lysimetry. Appl. Eng. Agric. 34:1 (2018), 213–221, 10.13031/aea.12597.
Evett, S.R., Marek, G.W., Colaizzi, P.D., Brauer, D.K., O'Shaughnessy, S.A., Corn and sorghum ET, E, yield, and CWP as affected by irrigation application method: SDI versus mid-elevation spray irrigation. Trans. ASABE 62:5 (2019), 1377–1393, 10.13031/trans.13314.
Evett, S.R., Marek, G.W., Colaizzi, P.D., Brauer, D.K., Howell, T.A., Are crop coefficients for SDI different from those for sprinkler irrigation application?. Trans. ASAB 63:5 (2020), 1233–1242, 10.13031/trans.13920.
Evett, S.R., Copeland, K.S., Ruthardt, B.B., Marek, G.W., Colaizzi, P.D., Howell, T.A. Sr., Brauer, D.K., The Bushland, Texas Maize for Grain Datasets. Ag Data Commons, 2022, 10.15482/USDA.ADC/1526317.
Fleisher, D.H., Condori, B., Quiroz, R., Alva, A., Asseng, S., Barreda, C., Bindi, M., Boote, K.J., Ferrise, R., Franke, A.C., Govindakrishnan, P.M., Harahagazwe, D., Hoogenboom, G., Naresh Kumar, S., Merante, P., Nendel, C., Olesen, J.E., Parker, P.S., Raes, D., Raymundo, R., Ruane, A.C., Stockle, C., Supit, I., Vanuytrecht, E., Wolf, J., Woli, P., A potato model intercomparison across varying climates and productivity levels. Global Change Biol 23 (2017), 1258–1281.
Gauch, H.G., Hwang, J.T.G., Fick, G.W., Model evaluation by comparison of model-based predictions and measured values. Agron. J. 95 (2003), 1442–1446.
Goudriaan, J., Crop Micrometerology: A Simulation Study. Simulation Monographs. 1977, PUDOC, Wageningen, the Netherlands.
Grant, R.F., Arkebauer, T.J., Dobermann, A., Hubbard, K.G., Schimelfenig, T.T., Suyker, A.E., Verma, S.B., Walters, D.T., Net biome productivity of irrigated and rainfed maize – soybean rotations: modelling vs. measurements. Agron. J. 99 (2007), 1404–1423.
Grant, R.F., Flanagan, L.B., Modeling stomatal and nonstomatal effects of water deficits on CO2 fixation in a semiarid grassland. J. Geophys. Res., 112, 2007, G03011, 10.1029/2006JG000302.
Hasegawa, T., Lai, T., Yin, X., Zhu, Y., Boote, K., Baker, J., Bregaglio, S., Buis, S., Confalonieri, R., Fugice, J., Fumoto, T., Gaydon, D., Naresh Kumar, S., Lafarge, T., Marcaida, M., Masutomi, Y., Nakagawa, H., Oriol, P., Ruget, F., Singh, U., Tang, L., Tao, F., Wakatsuki, H., Wallach, D., Wang, Y., Wilson, L.T., Yang, L., Yang, Y., Yoshida, H., Zhang, Z., Zhu, J., Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments. Sci. Rep., 7, 2017, 14858, 10.1038/s41598-017-13582-y.
Hidy, D., Barcza, Z., Marjanović, H., Ostrogović Sever, M.Z., Dobor, L., Gelybó, G., Fodor, N., Pintér, K., Churkina, G., Running, S., Thornton, P., Bellocchi, G., Haszpra, L., Horváth, F., Suyker, A., Nagy, Z., Terrestrial Ecosystem Process Model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities. Geosci. Model Dev. 9 (2016), 4405–4437, 10.5194/gmd-9-4405-2016.
Hoogenboom, G., Porter, C.H., Boote, K.J., Shelia, V., Wilkens, P.W., Singh, U., White, J.W., Asseng, S., Lizaso, J.I., Moreno, L.P., Pavan, W., Ogoshi, R., Hunt, L.A., Tsuji, G.Y., Jones, J.W., The DSSAT crop modeling ecosystem. Boote, K., (eds.) Advances in Crop Modelling for a Sustainable Agriculture, 2019, Burleigh Dodds Science Publishing, Cambridge, UK ISBN: 978 1 78676 240 5 www.bdspublishing.com.
Hoogenboom, G., Porter, C.H., Shelia, V., Boote, K.J., Singh, U., White, J.W., Hunt, L.A., Ogoshi, R., Lizaso, J.I., Koo, J., Asseng, S., Singles, A., Moreno, L.P., Jones, J.W., Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.7. 2019, DSSAT Foundation, Prosser, Washington http://dssat.net.
Jones, C.A., Kiniry, J.R., CERES-Maize: A Simulation Model of Maize Growth and Development. 1986, Texas A&M University Press, College Station, Texas, 194.
Keating, B.A., Carberry, P.S., Hammer, G.L., Probert, M.E., Robertson, M.J., Holzworth, D., Huth, N.I., Hargreaves, J.N.G., Meinke, H., Hochman, Z., McLean, G., Verburg, K., Snow, V., Dimes, J.P., Silburn, M., Wang, E., Brown, S., Bristow, K.L., Asseng, S., Chapman, S., McCown, R.L., Freebairn, D.M., Smith, C.J., An overview of APSIM, a model designed for farming system simulation. Europ. J. Agron. 18 (2003), 267–288.
Kimball, B., Boote, K., Hatfield, J.L., Ahuja, L.R., Stockle, C., Archontoulis, S., Caron, C., Basso, B., Bertuzzi, P., Constantin, J., Deryng, D., Dumont, B., Durand, J., Ewert, F., Gaiser, T., Gayler, S., Hoffmann, M.P., Jiang, Q., Kim, S., Lizaso, J., Moulin, S., Nednel, C., Parker, P., Palosuo, T., Priesack, E., Qi, Z., Srivastava, A., Tommaso, S., Tau, F., Thorp, K.R., Timlin, D.J., Twine, T.E., Webber, H., Willaume, M., Williams, K., Simulation of maize evapotranspiration: an inter-comparison among 29 maize models. Agric. For. Meteorol. 271 (2019), 264–284.
Li, T., Hasegawa, T., Yin, X., Zhu, Y., Boote, K., Adam, M., Bregaglio, S., Buis, S., Confalonieri, R., Fumoto, T., Gaydon, D., Marcaida, M. III, Nakagawa, H., Oriol, P., Ruane, A.C., Ruget, F., Singh, B., Singh, U., Tang, L., Tao, F., Wilkens, P., Yoshida, H., Zhang, Z., Bouman, B., Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions. Global Change Biol 21 (2015), 1328–1341.
Liu, B., Asseng, S., Müller, C., Ewert, F., Elliott, J., Lobell, D.P., Matre, P., Ruane, A.C., Wallach, D., Jones, J.W., Rosenzweig, C., Aggarwal, P.K., Alderman, P.D., Anothai, J., Basso, B., Biernath, C., Cammarano, C.D., Challinor, A., Deryng, D., De Sanctis, G., Doltra, J., Fereres, E., Folberth, C., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L.A., Izaurralde, R.C., Jabloun, M., Jones, C.D., Kersebaum, K.C., Kimball, B.A., Koehler, A.-K., Kumar, A.-K., Nendel, S.N., O'Leary, C., Olesen, G.J., Ottman, J.E., Palosuo, M.J., Prasad, T., Priesack, P.V.V., Pugh, E., Reynolds, T.A.M., Rezaei, M., Rötter, E.E., Schmid, R.P., Semenov, E., Shcherbak, M.A., Stehfest, I.E., Stöckle, C.O., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wall, G.W., Wang, E., White, J.W., Wolf, J., Zhao, Z., Zhu, Y., Similar estimates of temperature impacts on global wheat yield by three independent methods. Nat. Clim. Chang 6 (2016), 1130–1138 10.10.38/NCLIMATE3115.
Lopez-Cedron, F.X., Boote, K.J., Pineiro, J., Sau, F., Improving the CERES-Maize model ability to simulate water deficit effects on maize production and yield components. Agron. J. 100 (2008), 296–307.
Maiorano, A., Martre, P., Asseng, S., Ewert, F., Müller, C., Rötter, R.P., Ruane, A.C., Seminov, M.A., Wallach, D., Wang, E., Alderman, P.D., Kassie, B.T., Biernath, C., Basso, B., Cammarano, D., Challinor, A.J., Doltra, J., Dumont, B., Rezaei, E.E., Gayler, S., Kersebaum, K.C., Kimball, B.A., Koehler, A.-K., Liu, B., O'Leary, G.J., Olesen, J.E., Ottman, M.J., Priesach, E., Reynolds, M., Stratonovitch, P., Streck, T., Thorburn, P.J., Waha, K., Wall, G.W., White, J.W., Zhao, Z., Zhu, Y., Crop model improvement reduces the uncertainty to temperature of multi-model ensembles. Field Crops Res., 202 (2017), 5–20.
Mancosu, N., Spano, D., Orang, M., Sarreshteh, S., Snyder, R.L., SIMETAW#—a model for agricultural water demand planning. Water Resour. Manag. 30 (2016), 541–557, 10.1007/s11269-015-1176-7.
Marek, T.H., Schneider, A.D., Howell, T.A., Ebeling, L.L., Design and construction of large weighing monolithic lysimeters. Trans. ASAE 31:2 (1988), 477–484, 10.13031/2013.30734.
Monteith, J.L., Evaporation and environment. 19th Symposia of the Society for Experimental Biology, 19, 1965, University Press, Cambridge, 205–234.
Moore, C., Berardi, D., Blanc-Betes, E., DeLucia, E.H., Dracup, E.C., Egenriether, S., Gomez-Casanovas, S.N., Hartman, M.D., Hudiburg, T., Kantola, I., Masters, M.D., Parton, W.J., van Allen, R., von Haden, A.C., Wang, W.H., Bernacchi, C.J., The carbon and nitrogen cycle impacts of reverting perennial bioenergy switchgrass to an annual maize crop rotation. GCB Bioenergy 12 (2020), 941–954, 10.1111/gcbb.12743.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E., Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12 (2011), 2825–2830.
Perego, A., Giussani, A., Sanna, M., Fumagalli, M., Carozzi, M., Alfieri, L., Brenna, S., Acutis, M., The ARMOSA simulation crop model: overall features, calibration and validation results. Ital. J. Agrometeorol. 3 (2013), 23–38.
Penman, H.L., Natural evaporation from open water, bare soil, and grass. Proc. Ro. Soc. London 194 (1948), 120–145.
Priesack, E., Gayler, S., Hartmann, H.P., The impact of crop growth sub-model choice on simulated water and nitrogen balances. Nutrient Cycl. Agroecosyst. 75 (2006), 1–13, 10.1007/s10705-006-9006-1.
Priestley, C.H.B., Taylor, R.J., On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Rev 100 (1972), 81–92.
Probert, M.E.E., Dimes, J.P.P., Keating, B.A.A., Dalal, R.C.C., Strong, W.M.M., APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agric. Syst. 56 (1998), 1–28, 10.1016/S0308-521X(97)00028-0.
Ritchie, J.T., Model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 8 (1972), 1204–1213.
Sau, F., Boote, K.J., Bostick, W.M., Jones, J.W., Minguez, M.I., Testing and improving evapotranspiration and soil water balance of the DSSAT crop models. Agron. J. 96 (2004), 1243–1257.
Seidel, S.J., Palosuo, T., Thorburn, P., Wallach, D., Towards improved calibration of models – Where are we now and where should we go?. Eur. J. Agron. 94 (2018), 25–35, 10.1016/j.eja.2018.01.006.
Shelia, V., Šimůnek, J., Boote, K.J., Hoogenboom, G., Coupling DSSAT and HYDRUS-1D for simulations of soil water dynamics in the soil-plant-atmosphere system. J. Hydrol. Hydromech. 66:2 (2018), 232–245.
Shuttleworth, W.J., Wallace, J.S., Evaporation from sparse crops - an energy combination theory. Quart. J. Roy. Meteorol. Soc. 111 (1985), 839–855.
Šimůnek, J., Huang, K., van Genuchten, M., The HYDRUS Code for Simulating the One- Dimensional Movement of Water, Heat, and Multiple Solutes in Variably-Saturated Media, Version 6.0. 1998, U.S. Salinity Lab., United States Dep. of Agriculture, Agricultural Research Service Tech. Rep. 144.
Šimůnek, J., van Genuchten, M.T., Šejna, M., Development and applications of the HYDRUS and STANMOD software packages and related codes. Vadose Zone J., 7(2), 2008, 587, 10.2136/vzj2007.0077.
Soltani, A., Sinclair, T.R., Modeling Physiology of Crop Development, Growth and Yield. 2012, 2012, CABI International, 322.
Stöckle, C.O., Donatelli, M., Nelson, R., CropSyst, a cropping systems simulation model. Eur. J. Agron. 18 (2003), 289–307.
Suleiman, A.A., Ritchie, J.T., Modeling soil water redistribution during second-stage evaporation. Soil Sci. Soc. Amer. J. 67 (2003), 377–386.
Suleiman, A.A., Ritchie, J.T., Modifications to the DSSAT vertical drainage model for more accurate soil water dynamics estimation. Soil Sci. 169 (2004), 745–757, 10.1097/01.ss.0000148740.90616.fd.
Suyker, A.E., Verma, S.B., Burba, G.G., Arkebauer, T.J., Walters, D.T., Hubbard, K.G., Growing season carbon dioxide exchange in irrigated and rainfed maize. Agric. For. Meteorol. 124 (2004), 1–13.
Suyker, A.E., Verma, S.B., Burba, G.G., Arkebauer, T.J., Gross primary production and ecosystem respiration of irrigated maize and irrigated soybean during a growing season. Agric For Meteorol 131 (2005), 180–190.
Suyker, A.E., Verma, S.B., Interannual water vapor and energy exchange in an irrigated maize-based agroecosystem. Agric. For. Meteorol. 148 (2008), 417–427.
Suyker, A.E., Verma, S.B., Evapotranspiration of irrigated and rainfed maize-soybean cropping systems. Agric. For. Meteorol. 149 (2009), 443–452.
Thorp, K.R., Marek, G.W., DeJonge, K.C., Evett, S.R., Comparison of evapotranspiration methods in the DSSAT Cropping System Model: II. Algorithm performance. Comput. Electron. Agric., 177, 2020, 105679.
van Dam, J.C., Huygen, J., Wesseling, J.G., Feddes, R.A., Kabat, P., van Walsum, P.E.V., et al. Theory of SWAP Version 2.0. Simulation of Water Flow, Solute Transport and Plant Growth in the Soil–Water–Atmosphere–Plant Environment, Department of Water resources, WAU, Report 71, Technical Document 45. 1997, DLO Winand Staring Centre-DLO.
van Laar, H.H., Goudriaan, J., and van Keulen, H. (eds), 1992. Simulation of crop growth for potential and water-limited production situations (as applied to spring wheat). Simulation Reports CABO-TT, no. 27, Wageningen, 72 pp.
Villalobos, F.J., Fereres, E., Evaporation measurements beneath corn, cotton, and sunflower canopies. Agron. J. 82 (1990), 1152–1159.
Wang, E., Engel, T., SPASS: a generic process-oriented crop model with versatile windows interfaces. Environ. Modell. Softw. 15 (2000), 179–188.
Wang, E., Martre, P., Ewert, F., Zhao, Z., Maiorano, A., Rötter, R.P., Kimball, B.A., Ottman, M.J., Wall, G.W., White, J.W., Reynolds, M.P., Alderman, P.D., Aggarwal, P.K., Anothai, J., Basso, B., Biernath, Cammarano, D., Challinor, A.J., De Sanctis, G., Doltra, J., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L.A., Izaurralde, R.C., Jabloun, M., Jones, C.D., Kersebaum, K.C., Koehler, A.-K., Müller, C., Liu, L., Kumar, S.N., Nendel, C., O'Leary, G., Olesen, J.E., Palosuo, T., Priesack, E., Rezaei, E.E., Ripoche, D., Ruane, A.C., Semenov, M.A., Shcherbak, I., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wallach, D., Wang, Z., Wolf, J., Zhu, Y., Asseng, S., The uncertainty of crop yield projections is reduced by improved temperature response functions. Nat. Plants 3:1702 (2017), 1–11, 10.1038/nplants.2017.102.
Willmott, C.J., Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 63:11 (1982), 1309–1313.
Wolf, J., User Guide for LINTUL5: Simple Generic Model for Simulation of Crop Growth Under Potential, Water Limited and Nitrogen, Phosphorus and Potassium Limited Conditions. 2012, Wageningen University.
Xu, X., Sun, C., Neng, F.T., Fu, J., Huang, G.H., AHC: An integrated numerical model for simulating agroecosystem processes-Model description and application. Ecological Modelling 390 (2018), 23–39.
Yang, Y., Kim, S.-H., Timlin, D.J., Fleisher, D.H., Quebedeaux, B., Reddy, V.R., Simulating canopy evapotranspiration and photosynthesis of corn plants under different water status using a coupled MaizeSim+2DSOIL Model. Trans. ASAEB 52:3 (2009), 1011–1024.
