Modeling malt barley water use and evapotranspiration partitioning in two contrasting rainfall years. Assessing AquaCrop and SIMDualKc models

Abi Saab, 2015, Comparing AquaCrop and CropSyst models in simulating barley growth and yield under different water and nitrogen regimes. Does calibration year influence the performance of crop growth models, Agric. Water Manage., 147, 21, 10.1016/j.agwat.2014.08.001 Abrha, 2012, Sowing strategies for barley (Hordeum vulgare L.) based on modelled yield response to water with AquaCrop, Expl. Agric., 48, 252, 10.1017/S0014479711001190 Albrizio, 2010, Comparing the interactive effects of water and nitrogen on durum wheat and barley grown in a Mediterranean environment, Field Crops Res., 115, 179, 10.1016/j.fcr.2009.11.003 Allen, 2009, Estimating crop coefficients from fraction of ground cover and height, Irrig. Sci., 28, 17, 10.1007/s00271-009-0182-z Allen, 1998 Allen, 2005, FAO-56 Dual crop coefficient method for estimating evaporation from soil and application extensions, J. Irrig. Drain. Eng., 131, 2, 10.1061/(ASCE)0733-9437(2005)131:1(2) Allen, 2007, Water requirements, 208 Allen, 2011, Evapotranspiration information reporting: I. Factors governing measurement accuracy, Agric. Water Manage., 98, 899, 10.1016/j.agwat.2010.12.015 Andarzian, 2011, Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran, Agric. Water Manage., 100, 1, 10.1016/j.agwat.2011.08.023 Angus, 2001, Increasing water use and water use efficiency in dryland wheat, Agron. J., 93, 290, 10.2134/agronj2001.932290x Araya, 2010, Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare), Agric. Water Manage., 97, 1838, 10.1016/j.agwat.2010.06.021 Bellocchi, 2010, Validation of biophysical models: issues and methodologies: a review, Agron. Sustainable Dev., 30, 109, 10.1051/agro/2009001 Belhouchette, 2008, Integrating spatial soil organization data with a regional agricultural management simulation model: a case study in northern Tunisia T, ASABE, 51, 1099, 10.13031/2013.24512 Bodner, 2007, Cover crop evapotranspiration under semi-arid conditions using FAO dual crop coefficient method with water stress compensation, Agric. Water Manage., 93, 85, 10.1016/j.agwat.2007.06.010 Brisson, 2002, Response of the root system of a winter wheat crop to waterlogging, Plant Soil, 243, 43, 10.1023/A:1019947903041 Cantero-Martínez, 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 Res., 84, 341, 10.1016/S0378-4290(03)00101-1 Carter, 1985, Effects of irrigation and sowing date on yield and quality of barley and wheat, New Zeal. J. Exp. Agric., 13, 77, 10.1080/03015521.1985.10426062 Chen, 2010, Effects of winter wheat row spacing on evapotranspiration, grain yield and water use efficiency, Agric. Water Manage., 97, 1126, 10.1016/j.agwat.2009.09.005 Coffey, 2004, Statistical procedures for evaluating daily and monthlyhydrologic model predictions, Trans. ASAE, 47, 59, 10.13031/2013.15870 Day, 1987, The Effect of drought on barley yield and water use in two contrasting years, Irrig. Sci., 8, 115, 10.1007/BF00259476 Dehghanisanij, 2009, Assessment of wheat and maize water productivities and production function for cropping system decisions in arid and semiarid regions, Irrig. Drain., 58, 105, 10.1002/ird.397 Donatelli, 1997, Evaluation of CropSyst for cropping systems at two locations of northern and southern Italy, Eur. J. Agron., 6, 35, 10.1016/S1161-0301(96)02029-1 Doorenbos, 1979, Yield response to water, 33 Doorenbos, 1977, Guidelines for Predicting Crop Water Requirements Dwyer, 1988, Rooting characteristics of corn, soybeans and barley as a function of available water and soil physical characteristics, Can. J. Soil Sci., 68, 121, 10.4141/cjss88-011 Eisenhauer, 2003, Regression through the origin, Teach. Stat., 25, 76, 10.1111/1467-9639.00136 Er-Raki, 2007, Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region, Agric. Water Manage., 87, 41, 10.1016/j.agwat.2006.02.004 Er-Raki, 2010, Using the dual approach of FAO-56 for partitioning ET into soil and plant components for olive orchards in a semi-arid region, Agric. Water Manage., 97, 1769, 10.1016/j.agwat.2010.06.009 FAO, 2006 Farahani, 2009, Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton, Agron. J., 101, 469, 10.2134/agronj2008.0182s Ferreira, 2012, Crop and stress coefficients in rainfed and deficit irrigation vineyards using sap flow techniques, Irrig. Sci., 30, 433, 10.1007/s00271-012-0352-2 Ferrise, 2011, Probabilistic assessments of climate change impacts on durum wheat in the Mediterranean region, Nat. Hazard Earth Syst. Sci., 11, 1293, 10.5194/nhess-11-1293-2011 Francia, 2011, Determinants of barley grain yield in a wide range of Mediterranean environments, Field Crop. Res., 120, 169, 10.1016/j.fcr.2010.09.010 García-Vila, 2009, Deficit irrigation optimization of cotton with AquaCrop, Agron. J., 101, 477, 10.2134/agronj2008.0179s Hansson, 1987, Root dynamics in barley, lucerne and meadow fescue investigated with a mini-rhizotron technique, Plant Soil, 103, 33, 10.1007/BF02370664 Heng, 2009, Validating the FAO AquaCrop model for irrigated and water deficient field maize, Agron. J., 101, 488, 10.2134/agronj2008.0029xs Holden, 2006, Adaptation of water and nitrogen management of spring barley and potato as a response to possible climate change in Ireland, Agric. Water Manage., 82, 297, 10.1016/j.agwat.2005.07.026 Howell, 2004, Evapotranspiration of full-, deficit-irrigated, and dryland cotton on the Northern Texas High Plains, J. Irrig. Drain. E. ASCE, 130, 277, 10.1061/(ASCE)0733-9437(2004)130:4(277) Hsiao, 2009, AquaCrop – the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize, Agron J., 101, 448, 10.2134/agronj2008.0218s Hunsaker, 2002, Alfalfa basal crop coefficients for FAO?56 procedures in the desert regions of the southwestern. U. S, Trans. ASAE, 45, 1799, 10.13031/2013.11431 Iqbal, 2014, Evaluation of the FAO AquaCrop model for winter wheat on the NorthChina Plain under deficit irrigation from field experiment to regional yield simulation, Agric. Water Manage., 135, 61, 10.1016/j.agwat.2013.12.012 Janssen, 1995, Calibration of process-oriented models, Ecol. Model., 83, 55, 10.1016/0304-3800(95)00084-9 Jeuffroy, 1997, Crop physiology and productivity, Field Crops Res., 53, 3, 10.1016/S0378-4290(97)00019-1 Johnson, 2010, Ceptometer deployment method affects measurement of fraction of intercepted photosynthetically active radiation, Agron. J., 102, 1132, 10.2134/agronj2009.0478 Katerji, 2009, Durum wheat and barley productivity in saline–drought environments, Eur. J. Agron., 31, 1, 10.1016/j.eja.2009.01.003 Katerji, 2013, Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region, Agric. Water Manage., 130, 14, 10.1016/j.agwat.2013.08.005 Kato, 2006, Determination of a crop coefficient for evapotranspiration in a sparse sorghum field, Irrig. Drain., 55, 165, 10.1002/ird.225 Kool, 2014, A review of approaches for evapotranspiration partitioning, Agr. For. Meteorol., 184, 56, 10.1016/j.agrformet.2013.09.003 Lampurlanés, 2002, Tillage effects on water storage during fallow, and on barley root growth and yield in two contrasting soils of the semi-arid Segarra region in Spain, Soil Tillage Res., 65, 207, 10.1016/S0167-1987(01)00285-9 Legates, 1999, Evaluating the use of goodness of fit measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35, 233, 10.1029/1998WR900018 Li, 2011, Comparison of spatial interpolation methods for yield response factor of winter wheat and its spatial distribution in Haihe basin of north China, Irrig. Sci., 29, 455, 10.1007/s00271-010-0251-3 Liu, 2006, Fluxes through the bottom boundary of the root zone in silty soils: parametric approaches to estimate groundwater contribution and percolation, Agric. Water Manage., 84, 27, 10.1016/j.agwat.2006.01.018 Martins, 2013, Dual crop coefficients for full and deficit irrigated maize in southern Brazil: model calibration and validation for sprinkler and drip irrigation and mulched soil, Biosyst. Eng., 115, 291, 10.1016/j.biosystemseng.2013.03.016 Mkhabel, 2012, Performance of the FAO AquaCrop model for wheat grain yield and soil moisture simulation in Western Canada, Agric. Water Manage., 110, 16, 10.1016/j.agwat.2012.03.009 Morell, 2011, Yield and water use efficiency of barley in a semiarid Mediterranean agroecosystem: Long-term effects of tillage and N fertilization, Soil Tillage Res., 117, 76, 10.1016/j.still.2011.09.002 Moriasi, 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885, 10.13031/2013.23153 Nain, 2007, Calibration and validation of CERES model for simulating water and nutrients in Germany Nash, 1970, River flow forecasting through conceptual models: Part 1 A discussion of principles, J. Hydrol., 10, 282, 10.1016/0022-1694(70)90255-6 Ouazaa, 2015, Effect of the start-stop cycle of center-pivot towers on irrigation performance: experiments and simulations, Agric. Water Manage., 147, 163, 10.1016/j.agwat.2014.05.013 Paço, 2012, The dual crop coefficient approach using a density factor to simulate the evapotranspiration of a peach orchard: SIMDualKc model vs. eddy covariance measurements, Irrig. Sci., 30, 115, 10.1007/s00271-011-0267-3 Paço, 2014, Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations, J. Hydrol., 519, 2067, 10.1016/j.jhydrol.2014.09.075 Pang, 2004, Growth and physiological responses of six barley genotypes towaterlogging and subsequent recovery, Aust. J. Agric. Res., 55, 895, 10.1071/AR03097 Paredes, 2014, Partitioning evapotranspiration, yield prediction and economic returns of maizeunder various irrigation management strategies, Agric. Water Manage., 135, 27, 10.1016/j.agwat.2013.12.010 Paredes, 2014, Assessing the performance of the FAO AquaCrop model to estimate maize yields and water use under full and deficit irrigation with focus on model parameterization, Agric. Water Manage., 144, 81, 10.1016/j.agwat.2014.06.002 Paredes, 2015, Performance assessment of the FAO AquaCrop model for soil water, soil evaporation, biomass and yield of soybeans in North China Plain, Agric. Water Manage., 152, 57, 10.1016/j.agwat.2014.12.007 Pereira, 2015, Crop evapotranspiration estimation with FAO56: past and future, Agric. Water Manage., 147, 4, 10.1016/j.agwat.2014.07.031 Qureshi, 2009, Response of two-row malting spring barley to water cutoff under sprinkler irrigation, Agric. Water Manage., 96, 141, 10.1016/j.agwat.2008.07.012 Raes, 2006, Simulation of yield decline as a result of water stress with a robust soil water balance model, Agric. Water Manage., 81, 335, 10.1016/j.agwat.2005.04.006 Raes, 2012, Crop water productivity. Calculation procedures and calibration guidance Ramos, 2014, Comparação de diferentes funções de pedotransferência para estimar as propriedades hidráulicas em Portugal, 29 Ritchie, 1972, Model for predicting evaporation from a row crop with incomplete cover, Water Resour. Res., 8, 1204, 10.1029/WR008i005p01204 Rosa, 2012, Implementing the dual crop coefficient approach in interactive software. 1, Background Comput. Strat., 103, 8 Rosa, 2012, Implementing the dual crop coefficient approach in interactive software 2. Model testing, Agric. Water Manage., 103, 62, 10.1016/j.agwat.2011.10.018 Rötter, 2012, Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models, Field Crops Res., 133, 23, 10.1016/j.fcr.2012.03.016 Saadi, 2015, Climate change and Mediterranean agriculture: impacts on winter wheat and tomato crop evapotranspiration, irrigation requirements and yield, Agric. Water Manage., 147, 103, 10.1016/j.agwat.2014.05.008 Sarkar, 2007, Interactive effect of tillage depth and mulch on soil temperature, productivity and water use pattern of rainfed barley (Hordium vulgare L.), Soil Tillage Res., 92, 79, 10.1016/j.still.2006.01.014 Shuttleworth, 1985, Evaporation from sparse crops: an energy combination theory, Quart. J. Royal Meteorol. Soc., 111, 839, 10.1002/qj.49711146910 2012, Crop yield response to water, 66, 500 Stewart, 1977 Thameur, 2012, Drought effect on growth, gas exchange and yield, in two strains of local barley Ardhaoui, under water deficit conditions in southern Tunisia, J. Environ. Manage., 113, 495, 10.1016/j.jenvman.2012.05.026 Tolk, 2001, Measured and simulated evapotranspiration of grain sorghum with full and limited irrigation in three High Plains soils, Trans. ASAE, 44, 1553 Ugarte, 2007, Grain weight and grain number responsiveness to pre-anthesis temperature in wheat, barley and triticale, Field Crops Res., 100, 240, 10.1016/j.fcr.2006.07.010 Valín, 2012, Depivot: a model for center-pivot design and evaluation, Comput. Electron. Agric., 87, 159, 10.1016/j.compag.2012.06.004 Wang, 2012, EPIC and APEX:model use, calibration, and validation, Trans. ASABE, 55, 1447, 10.13031/2013.42253 Wei, 2015, Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain, Agric. Water Manage., 147, 43, 10.1016/j.agwat.2014.05.004 Wu, 2015, Water use by a groundwater dependent maize in a semi-arid region of Inner Mongolia: evapotranspiration partitioning and capillary rise, Agric. Water Manage., 152, 222, 10.1016/j.agwat.2015.01.016 Yau, 2013, Differential impacts of climate variability on yields of rainfed barley and legumes in semi-arid Mediterranean conditions, Arch. Agron. Soil Sci., 59, 1659, 10.1080/03650340.2013.766322 Yau, 2011, Early sowing and irrigation to increase barley yields and water use efficiency in Mediterranean conditions, Agric. Water Manage., 98, 1776, 10.1016/j.agwat.2011.07.009 Yu, 2009, Experimental investigation of soil evaporation and evapotranspiration of winter wheat under sprinkler irrigation, Agric. Sci. China, 8, 1360, 10.1016/S1671-2927(08)60348-X Zeleke, 2011, Calibration and testing of the FAO AquaCrop model for canola, Agron. J., 103, 1610, 10.2134/agronj2011.0150 Zhang, 2011, A rigorous approach of determining FAO56 dual crop coefficient using soil sensor measurements and inverse modeling techniques, Agric. Water Manage., 98, 1081, 10.1016/j.agwat.2011.02.001 Zhang, 2013, The dual crop coefficient approach to estimate and partitioning evapotranspiration of the winter wheat - summer maize crop sequence in North China Plain, Irrig. Sci., 31, 1303, 10.1007/s00271-013-0405-1 Zhao, 2013, Dual crop coefficient modelling applied to the winter wheat – summer maize crop sequence in North China Plain: basal crop coefficients and soil evaporation component, Agric. Water Manage., 117, 93, 10.1016/j.agwat.2012.11.008