Hostname: page-component-8448b6f56d-c4f8m Total loading time: 0 Render date: 2024-04-24T07:28:30.879Z Has data issue: false hasContentIssue false

Estimating the water use efficiency of spring barley using crop models

Published online by Cambridge University Press:  14 February 2018

E. Pohanková*
Affiliation:
Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4, 603 00 Brno, Czech Republic Institute of Agriculture Systems and Bioclimatology, Mendel University in Brno, Zemedelska 1, 613 00 Brno, Czech Republic
P. Hlavinka
Affiliation:
Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4, 603 00 Brno, Czech Republic Institute of Agriculture Systems and Bioclimatology, Mendel University in Brno, Zemedelska 1, 613 00 Brno, Czech Republic
M. Orság
Affiliation:
Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4, 603 00 Brno, Czech Republic Institute of Agriculture Systems and Bioclimatology, Mendel University in Brno, Zemedelska 1, 613 00 Brno, Czech Republic
J. Takáč
Affiliation:
Soil Science and Conservation Research Institute, Gagarinova 10, 827 13 Bratislava, Slovak Republic
K. C. Kersebaum
Affiliation:
Leibniz Centre for Agricultural Landscape Research (ZALF), 15374 Müncheberg, Germany
A. Gobin
Affiliation:
Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium
M. Trnka
Affiliation:
Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4, 603 00 Brno, Czech Republic Institute of Agriculture Systems and Bioclimatology, Mendel University in Brno, Zemedelska 1, 613 00 Brno, Czech Republic
*
Author for correspondence: E. Pohanková, E-mail: Eva.Pohankova@seznam.cz

Abstract

In the current study, simulations by five crop models (WOFOST, CERES-Barley, HERMES, DAISY and AQUACROP) were compared for 7–12 growing seasons of spring barley (Hordeum vulgare) at three sites in the Czech Republic. The aims were to compare how various process-based crop models with different calculation approaches simulate different values of transpiration (Ta) and evapotranspiration (ET) based on the same input data and compare the outputs of these simulations with reference data. From the outputs of each model, the water use efficiency (WUE) from Ta (WUETa) and from actual ET (WUEETa) was calculated for grain yields and above-ground biomass yield. The results of the first part of the study show that the model with the Penman approach for calculating ET simulates lower actual ET (ETa) sums, at an average of 250 mm during the growing season, than other models, which use the Penman–Monteith approach and simulate 330 mm on average during the growing season. In the second part of the current study, WUE reference values in the range 1.9–2.4 kg/m3 were calculated for spring barley and grain yield. Values of WUETa/WUEETa calculated from the outputs of individual models for grain yields and above-ground biomass yields ranged from 2.0/1.0 to 5.9/3.8 kg/m3 with an average value of 3.2/2.0 kg/m3 and from 3.9/2.1 to 10.5/6.8 kg/m3 with an average value of 6.5/4.0 kg/m3, respectively. The results confirm that the average values of all models are nearest to actual values.

Type
Crops and Soils Research Paper
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abrahamsen, P and Hansen, S (2000) Daisy: an open soil-crop-atmosphere system model. Environmental Modelling and Software 15, 313330.Google Scholar
Abrha, B, Delbecque, N, Raes, D, Tsegay, A, Todorovic, M, Heng, L, Vanutrecht, E, Geerts, S, Garcia-Vila, M and Deckers, S (2012) Sowing strategies for barley (Hordeum vulgare L.) based on modelled yield response to water with AquaCrop. Experimental Agriculture 48, 252271.Google Scholar
Allen, RG, Pereira, LS, Raes, D and Smith, M (1998) Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. Rome, Italy: FAO.Google Scholar
Allen, RG, Pruitt, WO, Wright, JL, Howell, TA, Ventura, F, Snyder, R, Itenfisu, D, Steduto, P, Berengena, J, Yrisarry, JB, Smith, M, Pereira, LS, Raes, R, Perrier, A, Alves, I, Walter, I and Elliott, R (2006) A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method. Agricultural Water Management 81(1), 122.Google Scholar
Andarzian, B, Bannayan, M, Steduto, P, Mazraeh, H, Barati, ME, Barati, MA and Rahnama, A (2011) Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management 100, 18.Google Scholar
Ashofteh, PS, Haddad, OB and Mariño, MA (2014) Risk analysis of water demand for agricultural crops under climate change. Journal of Hydrologic Engineering 20(4), 04014060.Google Scholar
Asseng, S, Ewert, F, Rosenzweig, C, Jones, JW, Hatfield, JL, Ruane, AC, Boote, KJ, Thorburn, PJ, Rötter, RP, Cammarano, D, Brisson, N, Basso, B, Martre, P, Aggarwal, PK, Angulo, C, Bertuzzi, P, Biernath, C, Challinor, AJ, Doltra, J, Gayler, S, Goldberg, R, Grant, R, Heng, L, Hooker, J, Hunt, LA, Ingwersen, J, Izaurralde, RC, Kersebaum, KC, Müller, C, Naresh Kumar, S, Nendel, C, O'Leary, G, Olesen, JE, Osborne, TM, Palosuo, T, Priesack, E, Ripoche, D, Semenov, MA, Shcherbak, I, Steduto, P, Stöckle, C, Stratonovitch, P, Streck, T, Supit, I, Tao, F, Travasso, M, Waha, K, Wallach, D, White, JW, Williams, JR and Wolf, J (2013) Uncertainty in simulating wheat yields under climate change. Nature Climate Change 3, 827832.Google Scholar
Bitri, M and Grazhdani, S (2015) Validation of Aqua Crop model in the simulation of sugar beet production under different water regimes in southeastern Albania. International Journal of Engineering Science and Innovative Technology (IJESIT) 4, 171181.Google Scholar
Blum, A (2005) Drought resistance, water-use efficiency, and yield potential – are they compatible, dissonant, or mutually exclusive? Australian Journal of Agricultural Research 56, 11591168.Google Scholar
Blum, A (2009) Effective use of water (EUW) and not water-use efficiency (WUE) is the target of crop yield improvement under drought stress. Field Crops Research 112, 119123.Google Scholar
Boogaard, HL, van Diepen, CA, Rötter, RP, Cabrera, JMCA and van Laar, HH (1998) WOFOST 7.1; User's Guide for the WOFOST 7.1 Crop Growth Simulation Model and WOFOST Control Center 1.5. Technical document/DLO Winand Staring Centre 52. Wageningen, The Netherlands: SC-DLO.Google Scholar
Cammarano, D, Rötter, RP, Asseng, S, Ewert, F, Wallach, D, Martre, P, Hatfield, JL, Jones, JW, Rosenzweig, C, Ruane, AC, Boote, KJ, Thorburn, PJ, Kersebaum, KC, Aggarwal, PK, Angulo, C, Basso, B, Bertuzzi, P, Biernath, C and Wolf, J (2016) Uncertainty of wheat water use: simulated patterns and sensitivity to temperature and CO2. Field Crops Research 198, 8092.Google Scholar
Cantero-Martinez, C, Angas, P and Lampurlanés, J (2003) Growth, yield and water productivity of barley (Hordeum vulgare L.) affected by tillage and N fertilization in Mediterranean semiarid, rainfed conditions of Spain. Field Crops Research 84, 341357.Google Scholar
Carlton, JS, Mase, AS, Knutson, CL, Lemos, MC, Haigh, T, Todey, DP and Prokopy, LS (2016) The effects of extreme drought on climate change beliefs, risk perceptions, and adaptation attitudes. Climatic Change 135, 211226.Google Scholar
Cossani, CM, Slafer, GA and Savin, R (2012) Nitrogen and water use efficiencies of wheat and barley under a Mediterranean environment in Catalonia. Field Crops Research 128, 109118.Google Scholar
Dağdelen, N, Yilmaz, E, Sezgin, F and Gürbüz, T (2006) Water-yield relation and water use efficiency of cotton (Gossypium hirsutum L.) and second crop corn (Zea mays L.) in western Turkey. Agricultural Water Management 82, 6385.Google Scholar
Davies, JA and McKay, DC (1989) Evaluation of selected models for estimating solar radiation on horizontal surfaces. Solar Energy 43, 153168.Google Scholar
De Wit, CT and Van Keulen, H (1987) Modelling production of field crops and its requirements. Geoderma 40, 253265.Google Scholar
Doorenbos, J and Pruitt, WD (1977) Guidelines for Predicting Crop Water Requirements. FAO Irrigation and Drainage Paper No. 24, revised 1977. Rome, Italy: FAO.Google Scholar
Drechsel, P, Heffer, P, Magen, H, Mikkelsen, R and Wichelns, D (2015) Managing Water and Fertilizer for Sustainable Agricultural Intensification. Paris, France: International Fertilizer Industry Association (IFA), International Water Management Institute (IWMI), International Plant Nutrition Institute (IPNI), and International Potash Institute (IPI).Google Scholar
Eitzinger, J, Marinkovic, D and Hosch, J (2002) Sensitivity of different evapotranspiration calculation methods in different crop-weather models. In 1st International Congress on Environmental Modelling and Software, Lugano, Switzerland, June 2002. Provo, UT, USA: Brigham Young University, pp. 395400.Google Scholar
Eitzinger, J, Trnka, M, Hösch, J, Žalud, Z and Dubrovský, M (2004) Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecological Modelling 171, 223246.Google Scholar
Federer, CA, Vörösmarty, C and Fekete, B (1996) Intercomparison of methods for calculating potential evaporation in regional and global water balance models. Water Resources Research 32, 23152321.Google Scholar
Fischer, M (2012) Water balance of short rotation coppice. Ph.D. Thesis, Mendel University, Brno, Czech Republic.Google Scholar
Fischer, M, Trnka, M, Kučera, J, Deckmyn, G, Orság, M, Sedlák, P, Žalud, Z and Ceulemans, R (2013) Evapotranspiration of a high-density poplar stand in comparison with a reference grass cover in the Czech–Moravian Highlands. Agricultural and Forest Meteorology 181, 4360.Google Scholar
Flint, AL and Childs, SW (1991) Use of the Priestley-Taylor evaporation equation for soil water limited conditions in a small forest clear cut. Agricultural and Forest Meteorology 56, 247260.Google Scholar
Frére, M and Popov, GF (1979) Agrometeorological Crop Monitoring and Forecasting. FAO Plant Production and Protection Paper 17. Rome, Italy: FAO.Google Scholar
Fritsch, S and Wylie, P (2015) Finding More Yield and Profit from your Farming System. Canberra, Australia: Grains Research and Development Corporation. Available at https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2015/02/finding-more-yield-and-profit-from-your-farming-system (Accessed 24 January 2018).Google Scholar
Gohar, AA and Cashman, A (2016) A methodology to assess the impact of climate variability and change on water resources, food security and economic welfare. Agricultural Systems 147, 5164.Google Scholar
Gosain, AK (2017) Climate change impacts on water resources and adaptations. In Belavadi, VV, Nataraja Karaba, N and Gangadharappa, NR (eds). Agriculture under Climate Change: Threats, Strategies and Policies. New Delhi, India: Allied Publishers Pvt. Ltd, pp. 168173.Google Scholar
Greaves, GE and Wang, YM (2016) Assessment of FAO AquaCrop model for simulating maize growth and productivity under deficit irrigation in a tropical environment. Water 8, article no. 557.Google Scholar
Guo, X, Zhang, H, Kang, L, Du, J, Li, W and Zhu, Z (2007) Quality control and flux gap filling strategy for Bowen ratio method: revisiting the Priestley–Taylor evaporation model. Environmental Fluid Mechanics 7, 421437.Google Scholar
Hájková, L and Dahl, AE (2012) Atlas Fenologických Poměrů Česka (Atlas of the Phenological Conditions in Czechia). Olomouc, Praha: Český Hydrometeorologický Ústav.Google Scholar
Hartmann, HD (1981) The influence of irrigation on the development and yield of asparagus. Acta Horticulturae 119, 309316.Google Scholar
Hlavinka, P, Trnka, M, Semerádová, D, Dobrovský, M, Žalud, Z and Možný, M (2009) Effect of drought on yield variability of key crops in Czech Republic. Agricultural and Forest Meteorology 149, 431442.Google Scholar
Hlavinka, P, Trnka, M, Eitzinger, J, Smutny, V, Thaler, S, Žalud, Z, Rischbeck, P and Křen, J (2010) The performance of CERES-barley and CERES-wheat under various soil conditions and tillage practices in Central Europe. Die Bodenkultur 61, 517.Google Scholar
Howell, TA (2001) Enhancing water use efficiency in irrigated agriculture. Agronomy Journal 93, 281289.Google Scholar
Hsiao, TC and Acevedo, E (1974) Plant responses to water deficits, water-use efficiency, and drought resistance. Agricultural Meteorology 14, 5984.Google Scholar
Hsiao, TC, Heng, L, Steduto, P, Rojas-Lara, B, Raes, D and Fereres, E (2009) Aquacrop The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal 101, 448459.Google Scholar
Huang, Y, Shuman, B, Wang, Y, Webb, T, Grimm, EC and Jacobson, GL (2006) Climatic and environmental controls on the variation of C 3 and C 4 plant abundances in central Florida for the past 62,000 years. Palaeogeography, Palaeoclimatology, Palaeoecology 237, 428435.Google Scholar
Iglesias, A and Garrote, L (2015) Adaptation strategies for agricultural water management under climate change in Europe. Agricultural Water Management 155, 113124.Google Scholar
Jaoudé, MB, Katerji, N, Mastrorilli, M and Rana, G (2008) Analysis of the ozone effect on soybean in the Mediterranean region: II. The consequences on growth, yield and water use efficiency. European Journal of Agronomy 28, 519525.Google Scholar
Jones, CA and Kiniry, N (1986) CERES-Maize, A Simulation Model of Maize Growth and Development. College Station, TX, USA: Texas A&M University Press.Google Scholar
Kang, Y, Khan, S and Ma, X (2009) Climate change impacts on crop yield, crop water productivity and food security: a review. Progress in Natural Science 19, 16651674.Google Scholar
Karam, F, Breidy, J, Stephan, C and Rouphael, J (2003) Evapotranspiration, yield and water use efficiency of drip irrigated corn in the Bekaa Valley of Lebanon. Agricultural Water Management 63, 125137.Google Scholar
Karam, F, Masaad, R, Sfeir, T, Mounzer, O and Rouphael, Y (2005) Evapotranspiration and seed yield of field grown soybean under deficit irrigation conditions. Agricultural Water Management 75, 226244.Google Scholar
Karam, F, Lahoud, R, Masaad, R, Daccache, A, Mounzer, O and Rouphael, Y (2006) Water use and lint yield response of drip irrigated cotton to the length of irrigation season. Agricultural Water Management 85, 287295.Google Scholar
Katerji, N, Van Hoorn, JW, Hamdy, A and Mastrorilli, M (2003) Salinity effect on crop development and yield, analysis of salt tolerance according to several classification methods. Agricultural Water Management 62, 3766.Google Scholar
Katerji, N, Van Hoorn, JW, Fares, C, Hamdy, A, Mastrorilli, M and Oweis, T (2005) Salinity effect on grain quality of two durum wheat varieties differing in salt tolerance. Agricultural Water Management 75, 8591.Google Scholar
Katerji, N, Mastrorilli, M and Rana, G (2008) Water use efficiency of crops cultivated in the Mediterranean region: review and analysis. European Journal of Agronomy 28, 493507.Google Scholar
Kemanian, AR, Stöckle, CO and Huggins, DR (2005) Transpiration-use efficiency of barley. Agricultural and Forest Meteorology 130, 111.Google Scholar
Kersebaum, KC (1995) Application of a simple management model to simulate water and nitrogen dynamics. Ecological Modelling 81, 145156.Google Scholar
Litschmann, T (2010) Měření Půdní Vlhkosti. Amet, Expert Lecture. Brno, Czech Republic: Masarykova University. Available at http://www.is.muni.cz/el/1431/jaro2010/Z0075/um/Prednaska_Dr_Litschmann_PudniVlhkost.pdf (Accessed 10 January 2018).Google Scholar
Mall, RK, Gupta, A and Sonkar, G (2016) Effect of climate change on agricultural crops. In Dubey, SK, Pandey, A and Sangwan, RS (eds). Current Developments in Biotechnology and Bioengineering: Crop Modification, Nutrition, and Food Production. Amsterdam, The Netherlands: Elsevier, pp. 2346.Google Scholar
Mastrorilli, M, Katerji, N, Rana, G and Steduto, P (1995) Sweet sorghum in Mediterranean climate: radiation use and biomass water use efficiencies. Industrial Crops and Products 3, 253260.Google Scholar
Medrano, H, Tomas, M, Martorell, S, Flexas, J, Hernández, E, Rosseló, J, Pou, A, Escalona, JM and Bota, J (2015) From leaf to whole-plant water use efficiency (WUE) in complex canopies: limitations of leaf WUE as a selection target. The Crop Journal 3, 220228.Google Scholar
Nash, JE (1989) Potential evaporation and ‘the complementary relationship. Journal of Hydrology 111, 17.Google Scholar
Nawarathna, NB, Ao, T, Kazama, S, Sawamoto, M and Takeuchi, K (2001) Influence of human activities on the BTOPMC model runoff simulations in large-scale watersheds. In Li, G, Wang, Z, Pettijean, A and Fisher, RK (eds). Proceedings of the 29th Congress of the International Association for Hydraulic Research, Theme A. Beijing, China: IAHR, pp. 9399.Google Scholar
Ngongondo, C, Xu, CY, Tallaksen, LM and Alemaw, B (2013) Evaluation of the FAO Penman–Montheith, Priestley–Taylor and Hargreaves models for estimating reference evapotranspiration in southern Malawi. Hydrology Research 44, 706722.Google Scholar
Nouna, BB, Katerji, N and Mastrorilli, M (2000) Using the CERES-maize model in a semi-arid Mediterranean environment. Evaluation of model performance. European Journal of Agronomy 13, 309322.Google Scholar
Novák, V (1995) Vyparovanie Vody v Prírode a Metódy Jeho Určovania. Bratislava, Slovakia: VEDA.Google Scholar
Palosuo, T, Kersebaum, KC, Angulo, C, Hlavinka, P, Moriondo, M, Olesen, JE, Patil, RH, Ruget, F, Rumbaurc, C, Takáč, J, Trnka, M, Bindi, M, Çaldağ, B, Ewert, F, Ferrise, R, Mirschel, W, Şaylan, L, Šiška, B and Rötter, R (2011) Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models. European Journal of Agronomy 35, 103114.Google Scholar
Penman, HL (1948) Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 193, 120145.Google Scholar
Penman, HL (1956) Evaporation: an introductory survey. Netherlands Journal of Agricultural Science 4, 929.Google Scholar
Ponce, VM (1989) Engineering Hydrology: Principles and Practices. Englewood Cliffs, NJ, USA: Prentice Hall.Google Scholar
Priestly, CHB and Taylor, RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review 100, 8192.Google Scholar
Rácz, C, Nagy, J and Dobos, AC (2013) Comparison of several methods for calculation of reference evapotranspiration. Acta Silvatica et Lignaria Hungarica 9, 924.Google Scholar
Reichstein, M, Falge, E, Baldocchi, D, Papale, D, Aubinet, M, Berbigier, P, Bernhofer, C, Buchmann, N, Gilmanov, T, Granier, A, Grünwald, T, Havránková, K, Ilvesniemi, H, Janous, D, Knoh, A, Laurila, T, Lohila, A, Loustau, D, Matteucci, G, Meyers, T, Miglietta, F, Ourcival, J-M, Pumpanen, J, Rambal, S, Rotenberg, E, Sanz, M, Tenhunen, J, Seufert, G, Vaccari, F, Vesala, T, Yakir, D and Valentini, R (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology 11, 14241439.Google Scholar
Remesan, R and Holman, IP (2015) Effect of baseline meteorological data selection on hydrological modelling of climate change scenarios. Journal of Hydrology 528, 631642.Google Scholar
Richards, LA (1931) Capillary conduction of liquids through porous mediums. Journal of Applied Physics 1, 318333.Google Scholar
Ritchie, JT, Singh, U, Godwin, DC and Bowen, WT (1998) Cereal growth, development and yield. In Tsuji, GY, Hoogenboom, G and Thornton, PK (eds). Understanding Options for Agricultural Production. Dordrecht, The Netherlands: Springer, pp. 7998.Google Scholar
Ritchie, JT (1972) Model for predicting evaporation from a row crop with incomplete cover. Water Resources Research 8, 10241213.Google Scholar
Rötter, RP, Palosuo, T, Kersebaum, KC, Angulo, C, Bindi, M, Ewert, F, Ferrise, R, Hlavinka, P, Moriondo, M, Nendel, C, Olesen, JE, Patil, RH, Ruget, F, Takáč, J and Trnka, M (2012) Simulation of spring barley yield in different climatic zones of Northern and Central Europe: a comparison of nine crop models. Field Crops Research 133, 2336.Google Scholar
Sadras, VO and Angus, JF (2006) Benchmarking water-use efficiency of rainfed wheat in dry environments. Crop and Pasture Science 57, 847856.Google Scholar
Sadras, VO and McDonald, G (2012) Water Use Efficiency of Grain Crops in Australia: Principles, Benchmarks and Management. Change. Kingston, ACT, Australia: Grains Research and Development Corporation, South Australian Research and Development Institute and University of Adelaide.Google Scholar
Sezen, SM and Yazar, A (1996) Determination of water-yield relationship of wheat under Cukurova conditions. Turkish Journal of Agriculture and Forestry 20, 4148, in Turkish, with English abstract.Google Scholar
Schneider, K, Ketzer, B, Breuer, L, Vaché, KB, Bernhofer, C and Frede, HG (2007) Evaluation of evapotranspiration methods for model validation in a semi-arid watershed in northern China. Advances in Geosciences 11, 3742.Google Scholar
Siddique, KHM, Tennant, D, Perry, MW and Belford, RK (1990) Water use and water use efficiency of old and modern wheat cultivars in a Mediterranean-type environment. Crop and Pasture Science 41, 431447.Google Scholar
Sinclair, TR, Tanner, CB and Bennett, JM (1984) Water-use efficiency in crop production. Bioscience 34, 3640.Google Scholar
Stanhill, G (1986) Water use efficiency. Advances in Agronomy 39, 5385.Google Scholar
Steduto, P (1996) Water use efficiency. In Pereira, LS, Feddes, RA, Gilley, JR and Lesaffre, B (eds). Sustainability of Irrigated Agriculture. Dordrecht, The Netherlands: Springer, pp. 193209.Google Scholar
Steduto, P, Alvino, A, Magliulo, V and Sisto, L (1986) Analysis of the physiological and reproductive responses of five wheat varieties under rainfed and irrigated conditions in Southern Italy. In Monti, L and Porceddu, E (eds). Drought Resistance in Plants: Physiological and Genetic Aspects. Luxembourg: Commission of the European Communities, pp. 1923.Google Scholar
Steduto, P, Hsiao, TC and Fereres, E (2007) On the conservative behavior of biomass water productivity. Irrigation Science 25, 189207.Google Scholar
Stewart, BA and Steiner, JL (1990) Water-use efficiency. In Singh, RP, Parr, JF and Stewart, BA (eds). Advances in Soil Science. New York, USA: Springer, pp. 151173.Google Scholar
Subedi, A and Chávez, JL (2015) Crop evapotranspiration (ET) estimation models: a review and discussion of the applicability and limitations of ET methods. Journal of Agricultural Science, Canada 7, 5068.Google Scholar
Supit, I, Hooijer, AA and Van Diepen, CA (1994) System Description of the Wofost 6.0 Crop Simulation Model Implemented in CGMS, Vol. 1: Theory and Algorithms. Luxembourg: Joint Research Centre, Commission of the European Communities.Google Scholar
Tolasz, R (2007) Atlas Podnebí Česka (Climate Atlas of Czechia). Prague, Czech Republic: Český Hydrometeorologický Ústav.Google Scholar
Tomiška, Z, Sládková, J and Vaňková, L (2003) Bodové hodnocení Produkční Schopnosti půd (Vybraná stanoviště ČR) – Souhrnná Zpráva. Prague, Czech Republic: Výzkumný Ústav Meliorací a Ochrana Půd.Google Scholar
Trnka, M, Hlavinka, P, Semerádová, D, Dubrovský, M, Žalud, Z and Možný, M (2007) Agricultural drought and spring barley yields in the Czech Republic. Plant Soil and Environment 53, 306316.Google Scholar
Trnka, M, Rötter, RP, Ruiz-Ramos, M, Kersebaum, KC, Olesen, JE, Žalud, Z and Semenov, MA (2014) Adverse weather conditions for European wheat production will become more frequent with climate change. Nature Climate Change 4, 637643.Google Scholar
Tsuji, GY, Hogenboom, G and Thorton, PK (1998) Understanding Options for Agricultural Production. Dordrecht, The Netherlands: Kluwer Academic Publishers.Google Scholar
van Dam, JC and Feddes, RA (2000) Numerical simulation of infiltration, evaporation and shallow groundwater levels with the Richards equation. Journal of Hydrology 233, 7285.Google Scholar
van Diepen, CA, Rappoldt, C, Wolf, J and Van Keulen, H (1988) CWFS Crop Growth Simulation Model WOFOST Documentation, Version 4.1. Staff Working Paper SOW-88-01. Wageningen, The Netherlands: Centre for World Food Studies.Google Scholar
Wang, XX, Wang, QJ, Fan, J and Fu, QP (2013) Evaluation of the AquaCrop model for simulating the impact of water deficits and different irrigation regimes on the biomass and yield of winter wheat grown on China's Loess Plateau. Agricultural Water Management 129, 95104.Google Scholar
Willmott, CJ (1981) On the validation of models. Physical Geography 2, 184194.Google Scholar
Wolf, J and De Wit, A (2003) Calibration of WOFOST Crop Growth Simulation Model for use within CGMS. Report, RIZa. Wageningen, The Netherlands: SC. DLO.Google Scholar
Wu, L and Kersebaum, KC (2008) Modeling water and nitrogen interaction responses and their consequences in crop models. In Ahuja, LR, Reddy, VR, Saseendran, SA and Yu, Q (eds). Response of Crops to Limited Water: Understanding and Modeling Water Stress Effects on Plant Growth Processes. Madison, WI, USA: ASA, CSSA, SSSA, pp. 215249.Google Scholar
Xing, Z, Chow, L, Meng, FR, Rees, HW, Stevens, L and Monteith, J (2008) Validating evapotranspiration equations using Bowen ratio in New Brunswick, Maritime, Canada. Sensors 8, 412428.Google Scholar
Xu, CY and Singh, VP (2002) Cross comparison of empirical equations for calculating potential evapotranspiration with data from Switzerland. Water Resources Management 16, 197219.Google Scholar
Yazar, A, Howell, TA, Dusek, DA and Copeland, KS (1999) Evaluation of crop water stress index for LEPA irrigated corn. Irrigation Science 18, 171180.Google Scholar
Zadoks, JC, Chang, TT and Konzak, CF (1974) A decimal code for the growth stages of cereals. Weed Research 14, 415421.Google Scholar
Zeleke, KT, Luckett, D and Cowley, R (2011) Calibration and testing of the FAO AquaCrop model for canola. Agronomy Journal 103, 16101618.Google Scholar
Zhang, J, Ren, W, An, P, Pan, Z, Wang, L, Dong, Z, He, D, Yang, J, Pan, S and Tian, H (2015) Responses of crop water use efficiency to climate change and agronomic measures in the semiarid area of northern China. PloS ONE 10, e0137409. doi: 10.1371/journal.pone.0137409.Google Scholar
Zhang, Y, Kendy, E, Yu, Q, Liu, C, Shen, Y and Sun, H (2004) Effect of soil water deficit on evapotranspiration, crop yield, and water use efficiency in the North China Plain. Agricultural Water Management 64, 107122.Google Scholar
Supplementary material: File

Pohanková et al. supplementary material

Pohanková et al. supplementary material 1

Download Pohanková et al. supplementary material(File)
File 908.1 KB