crop growth; lettuce; AquaCrop; water saving; water productivity; deficit irrigation
Abstract :
[en] Setting up water-saving irrigation strategies is a major challenge farmers face, in order to adapt to climate change and to improve water-use efficiency in crop productions. Currently, the production of vegetables, such as lettuce, poses a greater challenge in managing effective water irrigation, due to their sensitivity to water shortage. Crop growth models, such as AquaCrop, play an important role in exploring and providing effective irrigation strategies under various environmental conditions. The objectives of this study were (i) to parameterise the AquaCrop model for lettuce (Lactuca sativa var. crispa L.) using data from farmers’ fields in Cambodia, and (ii) to assess the impact of two distinct full and deficit irrigation scenarios in silico, using AquaCrop, under two contrasting soil types in the Cambodian climate. Field observations of biomass and canopy cover during the growing season of 2017 were used to adjust the crop growth parameters of the model. The results confirmed the ability of AquaCrop to correctly simulate lettuce growth. The irrigation scenario analysis suggested that deficit irrigation is a “silver bullet” water saving strategy that can save 20–60% of water compared to full irrigation scenarios in the conditions of this study.
Bae, J.; Dall'erba, S. Crop Production, Export of Virtual Water and Water-Saving Strategies in Arizona. Ecol. Econ. 2018, 146, 148-156
Rodríguez-Ferrero, N.; Salas-Velasco, M.; Sanchez-Martínez, M.T. Assessment of Productive Efficiency in Irrigated Areas of Andalusia. Int. J. Water Resour. Dev. 2010, 26, 365-379
Chartres, C. IsWater Scarcity a Constraint to Feeding Asia's Growing Population? Int. J. Water Resour. Dev. 2014, 30, 28-36
Jaramillo, F.; Destouni, G. Local Flow Regulation and Irrigation Raise Global HumanWater Consumption and Footprint. Science 2015, 350, 1248-1251
Toumi, J.; Er-Raki, S.; Ezzahar, J.; Khabba, S.; Jarlan, L.; Chehbouni, A. Performance Assessment of AquaCrop Model for Estimating Evapotranspiration, Soil Water Content and Grain Yield of Winter Wheat in Tensift Al Haouz (Morocco): Application to Irrigation Management. Agric. Water Manag. 2016, 163, 219-235
Linker, R.; Ioslovich, I. Assimilation of Canopy Cover and Biomass Measurements in the Crop Model AquaCrop. Biosyst. Eng. 2017, 162, 57-66
Touch, V.; Martin, R.J.; Scott, J.F.; Cowie, A.; Liu, D.L. Climate Change Adaptation Options in Rainfed Upland Cropping Systems in the Wet Tropics: A Case Study of Smallholder Farms in North-West Cambodia. J. Environ. Manag. 2016, 182, 238-246
Chhinh, N.; Millington, A. Drought Monitoring for Rice Production in Cambodia. Climate 2015, 3, 792-811
Montgomery, S.C.; Martin, R.J.; Guppy, C.; Wright, G.C.; Tighe, M.K. Farmer Knowledge and Perception of Production Constraints in Northwest Cambodia. J. Rural Stud. 2017, 56, 12-20
Moreira, M.A.; Dos Santos, C.A.P.; Lucas, A.A.T.; Bianchini, F.G.; De Souza, I.M.; Viégas, P.R.A. Lettuce Production according to Different Sources of Organic Matter and Soil Cover. Agric. Sci. 2014, 5, 99-105
Valenzuela, H.R.; Bernard, K.; John, C. Lettuce Production Guidelines for Hawaii; University of Hawaii: Honolulu, HI, USA, 1996
Cahn, M.; Johnson, L. New Approaches to Irrigation Scheduling of Vegetables. Horticulturae 2017, 3, 1-20
Domingues, D.S.; Takahashi, H.W.; Camara, C.A.P.; Nixdorf, S.L. Automated System Developed to Control pH and Concentration of Nutrient Solution Evaluated in Hydroponic Lettuce Production. Comput. Electron. Agric. 2012, 84, 53-61
Sokhen, C.; Kanika, D.; Moustier, P. Vegetable Market Flows and Chains in Phnom Penh; CIRAD-AVRDC-French MOFA: Hanoi, Vietnam, 2004
De Bon, H.; Parrot, L.; Moustier, P. Sustainable Urban Agriculture in Developing Countries. A Review. Agron. Sustain. Dev. 2010, 30, 21-32
Morris, S.; Davies, W.; Baines, R.N. Challenges and Opportunities for Increasing Competitiveness of Vegetable Production in Cambodia. Acta Hortic. 2013, 1006, 253-260
Xue, J.; Huo, Z.;Wang, F.; Kang, S.; Huang, G. Untangling the Effects of Shallow Groundwater and Deficit Irrigation on Irrigation Water Productivity in Arid Region: New Conceptual Model. Sci. Total Environ. 2018, 619-620, 1170-1182
Adu, M.O.; Yawson, D.O.; Armah, F.A.; Asare, P.A.; Frimpong, K.A. Meta-Analysis of Crop Yields of Full, Deficit, and Partial Root-Zone Drying Irrigation. Agric. Water Manag. 2018, 197, 79-90
Liu, Y.; Luo, Y. A Consolidated Evaluation of the FAO-56 Dual Crop Coefficient Approach Using the Lysimeter Data in the North China Plain. Agric. Water Manag. 2010, 97, 31-40
Verstraeten, W.W.; Veroustraete, F.; Feyen, J. Assessment of Evapotranspiration and Soil Moisture Content across Different Scales of Observation. Sensors 2008, 8, 70-117
Hunsaker, D.J.; French, A.N.; Waller, P.M.; Bautista, E.; Thorp, K.R.; Bronson, K.F.; Andrade-Sanchez, P. Comparison of Traditional and ET-Based Irrigation Scheduling of Surface-Irrigated Cotton in the Arid Southwestern USA. Agric. Water Manag. 2015, 159, 209-224
Thompson, R.B.; Gallardo, M.; Valdez, L.C.; Fernández, M.D. Determination of Lower Limits for Irrigation Management Using in Situ Assessments of Apparent CropWater Uptake Made with Volumetric SoilWater Content Sensors. Agric. Water Manag. 2007, 92, 13-28
Ferreira, M.I.; Conceição, N.; Malheiro, A.C.; Silvestre, J.M.; Silva, R.M.Water Stress Indicators and Stress Functions to Calculate Soil Water Depletion in Deficit Irrigated Grapevine and Kiwi. Acta Hortic. 2017, 1150, 119-126
Li, S.; Kang, S.; Li, F.; Zhang, L. Evapotranspiration and Crop Coefficient of Spring Maize with Plastic Mulch Using Eddy Covariance in Northwest China. Agric. Water Manag. 2008, 95, 1214-1222
Kashyap, P.S.; Panda, R.K. Evaluation of Evapotranspiration Estimation Methods and Development of Crop-Coefficients for Potato Crop in a Sub-Humid Region. Agric. Water Manag. 2001, 50, 9-25
Inthavong, T.; Tsubo, M.; Fukai, S. A Water Balance Model for Characterization of Length of Growing Period and Water Stress Development for Rainfed Lowland Rice. Field Crop. Res. 2011, 121, 291-301
Davis, S.L.; Dukes, M.D. Irrigation Scheduling Performance by Evapotranspiration-Based Controllers. Agric. Water Manag. 2010, 98, 19-28
Pereira, L.S.; Paredes, P.; Sholpankulov, E.D.; Inchenkova, O.P.; Teodoro, P.R.; Horst, M.G. Irrigation Scheduling Strategies for Cotton to Cope with Water Scarcity in the Fergana Valley, Central Asia. Agric. Water Manag. 2009, 96, 723-735
Pereira, L.S.; Cordery, I.; Iacovides, I. Improved Indicators ofWater Use Performance and Productivity for Sustainable Water Conservation and Saving. Agric. Water Manag. 2012, 108, 39-51
Afzal, M.; Battilani, A.; Solimando, D.; Ragab, R. Improving Water Resources Management Using Different Irrigation Strategies andWater Qualities: Field and Modelling Study. Agric. Water Manag. 2016, 176, 40-54
Geerts, S.; Raes, D. Deficit Irrigation as an on-Farm Strategy to Maximize CropWater Productivity in Dry Areas. Agric. Water Manag. 2009, 96, 1275-1284
Chai, Q.; Gan, Y.; Zhao, C.; Xu, H.L.; Waskom, R.M.; Niu, Y.; Siddique, K.H.M. Regulated Deficit Irrigation for Crop Production under Drought Stress. A Review. Agron. Sustain. Dev. 2016, 36, 1-21
Lopez, J.R.;Winter, J.M.; Elliott, J.; Ruane, A.C.; Porter, C.; Hoogenboom, G. Integrating Growth Stage Deficit Irrigation into a Process Based Crop Model. Agric. For. Meteorol. 2017, 243, 84-92
Kögler, F.; Söffker, D. Water (Stress) Models and Deficit Irrigation: System-Theoretical Description and Causality Mapping. Ecol. Model. 2017, 361, 135-156
Patanè, C.; Tringali, S.; Sortino, O. Effects of Deficit Irrigation on Biomass, Yield, Water Productivity and Fruit Quality of Processing Tomato under Semi-Arid Mediterranean Climate Conditions. Sci. Hortic. (Amsterdam) 2011, 129, 590-596
Abd El-Wahed, M.H.; Baker, G.A.; Ali, M.M.; Abd El-Fattah, F.A. Effect of Drip Deficit Irrigation and Soil Mulching on Growth of Common Bean Plant, Water Use Efficiency and Soil Salinity. Sci. Hortic. (Amsterdam) 2017, 225, 235-242
Samperio, A.; Moñino, M.J.; Vivas, A.; Blanco-Cipollone, F.; Martín, A.G.; Prieto, M.H. Effect of Deficit Irrigation during Stage II and Post-Harvest on TreeWater Status, Vegetative Growth, Yield and Economic Assessment in 'Angeleno' Japanese Plum. Agric. Water Manag. 2015, 158, 69-81
Yang, C.; Luo, Y.; Sun, L.;Wu, N. Effect of Deficit Irrigation on the Growth, Water Use Characteristics and Yield of Cotton in Arid Northwest China. Pedosphere 2015, 25, 910-924
Payero, J.O.; Melvin, S.R.; Irmak, S.; Tarkalson, D. Yield Response of Corn to Deficit Irrigation in a Semiarid Climate. Agric. Water Manag. 2006, 84, 101-112
Karam, F.; Mounzer, O.; Sarkis, F.; Lahoud, R. Yield and Nitrogen Recovery of Lettuce under Different Irrigation Regimes. J. Appl. Hortic. 2002, 4, 70-76
Kuslu, Y.; Dursun, A.; Sahin, U.; Kiziloglu, F.M.; Turan, M. Short Communication. Effect of Deficit Irrigation on Curly Lettuce Grown under Semiarid Conditions. Span. J. Agric. Res. 2008, 6, 714-719
Geerts, S.; Raes, D.; Garcia, M. Using AquaCrop to Derive Deficit Irrigation Schedules. Agric. Water Manag. 2010, 98, 213-216
Hassanli, M.; Ebrahimian, H.; Mohammadi, E.; Rahimi, A.; Shokouhi, A. Simulating Maize Yields When Irrigating with Saline Water, Using the AquaCrop, SALTMED, and SWAP Models. Agric. Water Manag. 2016, 176, 91-99
Abderrahman, W.A.; Mohammed, N.; Al-Harazin, I.M. Computerized and Dynamic Model for Irrigation Water Management of Large Irrigation Schemes in Saudi Arabia. Int. J. Water Resour. Dev. 2001, 17, 261-270
Wolf, J.; Evans, L.G.; Semenov, M.A.; Eckersten, H.; Iglesias, A. Comparison of Wheat Simulation Models under Climate Change. I. Model Calibration and Sensitivity Analyses. Clim. Res. 1996, 7, 253-270
Ran, H.; Kang, S.; Li, F.; Tong, L.; Ding, R.; Du, T.; Li, S.; Zhang, X. Performance of AquaCrop and SIMDualKc Models in Evapotranspiration Partitioning on Full and Deficit Irrigated Maize for Seed Production under Plastic Film-Mulch in an Arid Region of China. Agric. Syst. 2017, 151, 20-32
Steduto, P.; Hsiao, T.C.; Raes, D.; Fereres, E. AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles. Agron. J. 2009, 101, 426-437
Singh, A.; Saha, S.; Mondal, S. Modelling Irrigated Wheat Production Using the FAO AquaCrop Model in West Bengal, India, for Sustainable Agriculture. Irrig. Drain. 2013, 62, 50-56
Tavakoli, A.R.; Mahdavi Moghadam, M.; Sepaskhah, A.R. Evaluation of the AquaCrop Model for Barley Production under Deficit Irrigation and Rainfed Condition in Iran. Agric. Water Manag. 2015, 161, 136-146
Paredes, P.; Wei, Z.; Liu, Y.; Xu, D.; Xin, Y.; Zhang, B.; Pereira, L.S. Performance Assessment of the FAO AquaCrop Model for Soil Water, Soil Evaporation, Biomass and Yield of Soybeans in North China Plain. Agric. Water Manag. 2015, 152, 57-71
Todorovic, M.; Albrizio, R.; Zivotic, L.; Saab, M.-T.A.; Stöckle, C.; Steduto, P. Assessment of AquaCrop, CropSyst, and WOFOST Models in the Simulation of Sunflower Growth under Different Water Regimes. Agron. J. 2009, 101, 509-521
Farahani, H.J.; Izzi, G.; Oweis, T.Y. Parameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cotton. Agron. J. 2009, 101, 469-476
Hussein, F.; Janat, M.; Yakoub, A. Simulating Cotton Yield Response to Deficit Irrigation with the FAO AquaCrop Model. Span. J. Agric. Res. 2011, 9, 1319-1330
Hsiao, T.C.; Heng, L.; Steduto, P.; Rojas-Lara, B.; Raes, D.; Fereres, E. AquaCrop-The FAO Crop Model to Simulate Yield Response toWater: III. Parameterization and Testing for Maize. Agron. J. 2009, 101, 448-459
Malik, A.; Shakir, A.S.; Ajmal, M.; Khan, M.J.; Khan, T.A. Assessment of AquaCrop Model in Simulating Sugar Beet Canopy Cover, Biomass and Root Yield under Different Irrigation and Field Management Practices in Semi-Arid Regions of Pakistan. Water Resour. Manag. 2017, 31, 4275-4292
Andarzian, B.; Bannayan, M.; Steduto, P.; Mazraeh, H.; Barati, M.E.; Barati, M.A.; Rahnama, A. Validation and Testing of the AquaCrop Model under Full and Deficit Irrigated Wheat Production in Iran. Agric.Water Manag. 2011, 100, 1-8
Mkhabela, M.S.; Bullock, P.R. Performance of the FAO AquaCrop Model for Wheat Grain Yield and Soil Moisture Simulation in Western Canada. Agric. Water Manag. 2012, 110, 16-24
Rankine, D.R.; Cohen, J.E.; Taylor, M.A.; Coy, A.D.; Simpson, L.A.; Stephenson, T.; Lawrence, J.L. Parameterizing the FAO AquaCrop Model for Rainfed and Irrigated Field-Grown Sweet Potato. Agron. J. 2015, 107, 375-387
Casa, A. De; Ovando, G.; Bressanini, L.; Martínez, J. Aquacrop Model Calibration in Potato and Its Use to Estimate Yield Variability under Field Conditions. Atmos. Clim. Sci. 2013, 3, 397-407
Wellens, J.; Raes, D.; Traore, F.; Denis, A.; Djaby, B.; Tychon, B. Performance Assessment of the FAO AquaCrop Model for Irrigated Cabbage on Farmer Plots in a Semi-Arid Environment. Agric. Water Manag. 2013, 127, 40-47
Deb, P.; Tran, D.A.; Udmale, P.D. Assessment of the Impacts of Climate Change and Brackish Irrigation Water on Rice Productivity and Evaluation of Adaptation Measures in Ca Mau Province, Vietnam. Theor. Appl. Climatol. 2016, 125, 641-656
Adeboye, O.B.; Schultz, B.; Adekalu, K.O.; Prasad, K. Modelling of Response of the Growth and Yield of Soybean to Full and Deficit Irrigation by Using Aquacrop. Irrig. Drain. 2017, 66, 192-205
Zeleke, K.T.; Luckett, D.; Cowley, R. Calibration and Testing of the FAO AquaCrop Model for Canola. Agron. J. 2011, 103, 1610-1618
Greaves, G.E.; Wang, Y.M. Assessment of Fao Aquacrop Model for Simulating Maize Growth and Productivity under Deficit Irrigation in a Tropical Environment. Water 2016, 8, 1-18
Montoya, F.; Camargo, D.; Ortega, J.F.; Córcoles, J.I.; Domínguez, A. Evaluation of Aquacrop Model for a Potato Crop under Different Irrigation Conditions. Agric. Water Manag. 2016, 164, 267-280
Klocke, N.L.; Fischbach, P.E. G84-690 Estimating Soil Moisture by Appearance and Feel. In Historical Materials from University of Nebraska-Lincoln Extension; University of Nebraska: Lincoln, NE, USA, 1984; pp. 1-9
Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. Irrig. Drain. 1998, 300, 300
Pansu, M.; Gautheyrou, J. Handbook of Soil Analysis: Mineralogical, Organic and Inorganic Methods; Springer Science & Business Media: Berlin, Germany, 2007
Margesin, R.; Schinner, F. Manual for Soil Analysis-Monitoring and Assessing Soil Bioremediation; Springer Science & Business Media: Berlin, Germany, 2005
Ket, P.; Garré, S.; Oeurng, C.; Degré, A. A Comparison of Soil Water Retention Curves Obtained Using Field, Lab and Modelling Methods in Monsoon Context of Cambodia; ARES-CCD: Brussels, Belgium, 2018
Gallardo, M.; Jackson, L.E.E.; Schulbach, K.; Snyder, R.L.L.; Thompson, R.B.B.; Wyland, L.J.J. Production and Water Use in Lettuces under Variable Water Supply. Irrig. Sci. 1996, 16, 125-137
Razzaghi, F.; Zho, Z.; Andersen, M.; Plauborg, F. Simulation of Potato Yield in Temperate Condition by the AquaCrop Model. Agric. Water Manag. 2017, 191, 113-123
Raes, D.; Steduto, P.; Hsiao, T.C.; Fereres, E. AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description. Agron. J. 2009, 101, 438-447
Steduto, P.; Raes, D.; Hsiao, T.; Fereres, E. AquaCrop: A New Model for Crop Prediction under Water Deficit Conditions. Options Méditerr. 2009, 33, 285-292
Steduto, P.; Hsiao, T.C.; Fereres, E.; Raes, D. Crop Yield Response to Water; The Food and Agriculture Organization (FAO): Rome, Italy, 2012
Paredes, P.; de Melo-Abreu, J.P.; Alves, I.; Pereira, L.S. 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 Manag. 2014, 144, 81-97
Stott, L.D. The Influence of Diet on the δ13C of Shell Carbon in the Pulmonate Snail Helix Aspersa. Earth Planet. Sci. Lett. 2002, 195, 249-259
Krause, P.; Boyle, D.P. Comparison of Different Efficiency Criteria for Hydrological Model Assessment. Adv. Geosci. 2005, 5, 89-97
Wellens, J.; Raes, D.; Tychon, B. On the Use of Decision-Support Tools for Improved Irrigation Management: AquaCrop-Based Applications. In Current Perspective on Irrigation and Drainage; INTECH: London, UK, 2017; pp. 53-67
Zhuo, L.; Hoekstra, A. The Effect of Different Agricultural Management Practices on Irrigation Efficiency, Water Use Efficiency and Green and BlueWater Footprint. Front. Agric. Sci. Eng. 2017, 4, 185-194
Raes, D.; Steduto, P.; Hsiao, T.C.; Fereres, E. Calculation Procedures. In AquaCrop-Reference Manual; The Food and Agriculture Organization (FAO): Rome, Italy, 2017
Raes, D.; Geerts, S.; Kipkorir, E.; Wellens, J.; Sahli, A. Simulation of Yield Decline as a Result of Water Stress with a Robust SoilWater Balance Model. Agric. Water Manag. 2006, 81, 335-357
Navarro-Hellín, H.; Martínez-del-Rincon, J.; Domingo-Miguel, R.; Soto-Valles, F.; Torres-Sánchez, R. A Decision Support System for Managing Irrigation in Agriculture. Comput. Electron. Agric. 2016, 124, 121-131
Raes, P.D.; Steduto, T.C.; Hsiao, E.F. FAO Crop.-Water Productivity Model to Simulate Yield Response to Water. Reference Manual; Food and Agriculture Organization of the United Nations: Rome, Italy, 2017
Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M.; Ab, W. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements. In FAO Irrigation and Drainage Paper 56; Food and Agriculture Organization: Rome, Italy, 1998; pp. 1-15
Lamn, F.; Ayars, J.; Nakayama, F. Irrigation Scheduling. In Microirrigation for Crop Production; Developments in Agricultural Engineering 13; Freddie, R., Lamm James, E., Ayars Francis, S., Nakayama, Eds.; Elsevier: Houston, TX, 2015; pp. 61-128
Sutton, B.; Merit, N. Maintenance of Lettuce Root Zone at Field Capacity Gives Best Yields with Drip Irrigation. Sci. Hortic. (Amsterdam) 1993, 56, 1-11
Tan, S.;Wang, Q.; Zhang, J.; Chen, Y.; Shan, Y.; Xu, D. Performance of AquaCrop Model for Cotton Growth Simulation under Film-Mulched Drip Irrigation in Southern Xinjiang, China. Agric. Water Manag. 2018, 196, 99-113
Fazilah, W.; Ilahi, F.; Ahmad, D.; Husain, M.C. Effects of Root Zone Cooling on Butterhead Lettuce Grown in Tropical Conditions in a Coir-Perlite Mixture. Hortic. Environ. Biotechnol. 2017, 58, 1-4
Zhang, G.; Johkan, M.; Hohjo, M.; Tsukagoshi, S.; Maruo, T. Plant Growth and Photosynthesis Response to Low Potassium Conditions in Three Lettuce (Lactuca sativa) Types. Hortic. J. 2017, 86, 229-237
Dufault, R.J.; Ward, B.; Hassell, R.L. Dynamic Relationships between Field Temperatures and Romaine Lettuce Yield and Head Quality. Sci. Hortic. (Amsterdam) 2009, 120, 452-459
Parker, R.O. Plant. & Soil Science: Fundamentals and Applications, 1st ed.; Delmar Cengage Learning: Independence, KY, USA, 2009
Wheeler, T.R.; Hadley, P.; Morison, J.I.; Ellis, R.H. Effects of Temperature on the Growth of Lettuce (Lactuca sativa L.) and the Implications for Assessing the Impacts of Potential Climate Change. Eur. J. Agron. 1993, 2, 305-311
Abdullah, K.; Ismail, T.G.; Yusuf, U.; Belgin, C. Effects of Mulch and Irrigation Water Amounts on Lettuce's Yield, Evapotranspiration, Transpiration and Soil Evaporation in Isparta Location, Turkey. J. Biol. Sci. 2004, 4, 751-755
Gallardo, M.; Snyder, R.L.; Schulbach, K.; Jackson, L.E. Crop Growth and Water Use Model for Lettuce. Irrig. Drain. Eng. 1996, 122, 354-359
Boote, K.J.; Jones, J.W.; Pickering, N.B. Potential Uses and Limitations of Crop Models. Agron. J. 1996, 88, 704-716
Silvestro, P.C.; Pignatti, S.; Yang, H.; Yang, G.; Pascucci, S.; Castaldi, F.; Casa, R. Sensitivity Analysis of the Aquacrop and SAFYE Crop Models for the Assessment ofWater LimitedWinter Wheat Yield in Regional Scale Applications. PLoS ONE 2017, 12, 1-30
Wallach, D.; Keussayan, N.; Brun, F.; Lacroix, B.; Bergez, J. Assessing the Uncertainty When Using a Model to Compare Irrigation Strategies. Agron. J. 2008, 104, 1274-1283
