Supplemental irrigation management of rainfed grapevines under drought conditions using the CropSyst model
Aim of study: To determine how much water should be used and when it should be applied in rain-fed grapevine using a cropping system simulation model (CropSyst), and also the economic analysis of supplemental irrigation for rainfed grapevine.
Area of study: This study was conducted at the School of Agriculture, Shiraz University, Shiraz, Iran, in 2012, 2013 and 2014.
Material and methods: The CropSyst model was calibrated to predict the rainfed yields of ‘Askari’ and ‘Yaghooti’ grapevines in different climates using four amounts of SI: 250 L (I1), 500 L (I2), 1000 L (I3) and 0 (I4), five SI times: single in March (T1), single in April (T2), single in March + single in April (T3), single in May (T4) and single in June (T5).
Main results: Treatment T3 increased the average simulated yield of ‘Askari’ by 15% to 40% at regions with P/ETo>0.6, 17% to 61% at 0.2<P/ETO<0.6, and 26% to 61% at P/ETO<0.2, while in ‘Yaghooti’ it increased about 2% to 41% at regions with P/ETo>0.6, 4% to 36% at 0.2<P/ETO<0.6 and 2% to 26% at P/ETO<0.2. By increasing the water price by 30% and 50%, net benefits for the ‘Askari’ decreased by about 31% and 54%, while 6% and 18%, for ‘Yaghooti’ respectively.
Research highlights: The CropSyst model can successfully predict soil water content and grapevine yields. Application of SI in May increased significantly the grapevine yield as compared to other SI times.
Bagheri E, Sepaskhah AR, 2014. Rain-fed fig yields as affected by rainfall distribution. Theor Appl Climatol 117: 433-439. https://doi.org/10.1007/s00704-013-1001-2
Basile B, Marsal J, Mata M, Valiverdu X, Belivert J, Girona J, 2011. Phenological sensitivity of Cabernet Sauvignon to water stress: Vine physiology and berry composition. Am J Enol Vitic 62: 452-461. https://doi.org/10.5344/ajev.2011.11003
Cabelguenne M, Jones CA, Marty JR, Dyke PT, Williams JR, 1990. Calibration and validation of EPIC for crop rotations in southern France. Agric Sys 33: 153-171. https://doi.org/10.1016/0308-521X(90)90078-5
Deloire A, Carbonneau A, Wang ZP, Ojeda H, 2004. Vine and water a short review. J Int Sci Vigne Vin 38 (1): 1-13. https://doi.org/10.20870/oeno-one.2004.38.1.932
English M, 1990. Deficit irrigation. I: Analytical framework. J Irrig Drain Eng 116: 399-412. https://doi.org/10.1061/(ASCE)0733-9437(1990)116:3(399)
English M, James L, 1990. Deficit irrigation. II: Observation in Colombia basin. J Irrig Drain Eng 116: 413-426. https://doi.org/10.1061/(ASCE)0733-9437(1990)116:3(413)
Eradli N, 2014. A bioeconomic analysis of climate change impacts on grape growers in the Niagara Peninsula. M.Sc. Thesis. Dept. Agric. Econ., McGill Univ., Montreal, Canada.
Frone DF, Frone S, 2015. The importance of water security for sustainable development in the Romanian agri-food sector. Agr Agr Sci Procedia 6: 674-681. https://doi.org/10.1016/j.aaspro.2015.08.120
Ghanad T, 2013. The effect of supplemental irrigation on grapevine growth and yield prediction by using CropSyst model. M.Sc. Thesis. Irrig. Depart., Shiraz Univ. Shiraz, Iran. (In Persian).
Ghasemi VR, Mahmoudi S, Ghafari AAA, de Pauw E, 2008. Agro-climate zoning (ACZ) through UNESCO approach and modifiedaridity index in some parts of East Azerbaijan and Ardabil provinces. Iran J Agric Sci 39: 281-289.
Intrigliolo DS, Castel JR, 2010. Response of Vitis vinifera CV. Tempranillo to timing and amount of irrigation: Water relations, yield and fruit and wine composition. Irrig Sci 28: 113-125. https://doi.org/10.1007/s00271-009-0164-1
Kamyab S, 2014. Effect of time and amount of supplemental irrigation on growth, yield and root growth of rain-fed Askari grapevine in Badjgah area. M.Sc. Thesis. Irrig. Dept., Shiraz Univ. Shiraz, Iran. (In Persian).
Khozaei M, Sepaskhah AR, 2018. Economic analysis of the optimal level of supplemental irrigation for rain-fed figs. Iran Agric Res 37 (2): 17-26.
Kropff MJ, van Lair HH, Matthews RB, 1994. ORYZA1, an eco-physiological model for irrigated rice production. In: SARP Res Proc, & DLO-Res Inst for Agrobiol and Soil Fertil, 110 pp. ISBN 9789073384231.
Lakso AN, White MD, Tustin DS, 2001. Simulation modeling of the eﬀects of short and long-term climatic variations on carbon balance of apple trees. Acta Hortic 557: 473-480. https://doi.org/10.17660/ActaHortic.2001.557.63
Lakso AN, Poni S, 2005. "VitiSim" a simpliﬁed carbon balance model of a grapevine. Proc XIV GiESCO Symp, pp: 478-484.
Lakso AN, Intrigliolo D, Eissenstat DM, 2008. Modeling Concord grapes with "VitiSim", a simpliﬁed carbon balance model: understanding pruning eﬀects. Acta Hortic 803: 243-250. https://doi.org/10.17660/ActaHortic.2008.803.31
Lengnick LL, Fox RH., 1994. Simulation by NCSWAP of seasonal nitrogen dynamics in corn: II. Corn growth and yield. Agron J 86: 176-182. https://doi.org/10.2134/agronj1994.00021962008600010031x
Marsal J, Stöckle CO, 2012. Use of CropSyst as a decision support system for scheduling regulated deﬁcit irrigation in a pear orchard. Irrig Sci 30: 139-147. https://doi.org/10.1007/s00271-011-0273-5
Marsal J, Girona J, Casadesus J, Lopez G, Stöckle CO, 2013. Crop coefﬁcient (Kc) for apple: comparison between measurements by a weighing lysimeter and prediction by CropSyst. Irrig Sci 31: 455-463. https://doi.org/10.1007/s00271-012-0323-7
Marsal J, Johnson S, Casadesus J, Lopez G, Girona J, Stöckle CO, 2014. Fraction of canopy intercepted radiation relates differently with crop coefficient depending on the season and the fruit tree species. Agric for Meteorol 184: 1-11. https://doi.org/10.1016/j.agrformet.2013.08.008
Mazaheri-Tehrani M, 2012. Physiological and yield responses of 'Yaghooti' grapevine under different time and amount of supplemental irrigation in Badjgah area. M.Sc. Thesis. Irrig. Dept., Shiraz Univ., Shiraz, Iran. (In Persian).
Mazaheri-Tehrani M, Kamgar-Haghighi AA, Razzaghi F, Sepaskhah AR, Zand-Parsa S, Eshghi S, 2016. Physiological and yield responses of rainfed grapevine under different supplemental irrigation regimes in Fars province, Iran. J Sci Hort 202: 133-141. https://doi.org/10.1016/j.scienta.2016.02.036
Nagamani K, Nethaji Mariappan VE, 2017. Remote sensing, GIS and crop simulation models - A review. Int J Curr Res Biosci Plant Biol 4 (8): 80-92. https://doi.org/10.20546/ijcrbp.2017.408.011
Oyarzun RA, Stöckle CO, Whiting MD, 2007. A simple approach to modeling radiation interception by fruit-tree orchards. Agric for Meteorol 142: 12-24. https://doi.org/10.1016/j.agrformet.2006.10.004
Pellegrino A, Lebon E, Simonneau T, Wery J, 2005. Towards a simple indicator of water stress in grapevine (Vitis vinifera L.) based on the differential sensitivities of vegetative growth components. Aust J Grape Wine Res 11: 306-315. https://doi.org/10.1111/j.1755-0238.2005.tb00030.x
Poni S, Palliotti A, Bernizonni F, 2006. Calibration and evaluation of a STELLAsoftware-based daily CO2 balance model in Vitis vinifera L. Am Soc Hort Sci 131 (2): 273-283. https://doi.org/10.21273/JASHS.131.2.273
Rajaei H, Yazdanpanah P, Dadbin M, Kamgar-Haghighi AA, Sepaskhah AR, Eslamzadeh T, 2013. Comparison of root anatomy and xylem vessel structure in rain-fed and supplementary irrigated 'Yaghooti-Syah Shiraz' grapevine (Vitis vinifera L.). Hortic Environ Biotechnol 54: 297-302. https://doi.org/10.1007/s13580-013-0079-x
Rey D, Holman IP, Knox JW, Daccache A, Morris J, Weatherhead EK, 2016. Modelling and mapping the economic value of supplemental irrigation in a humid climate Agric Water Manage 173: 13-22. https://doi.org/10.1016/j.agwat.2016.04.017
Sadeghi A, Kamgar-Haghighi A, Sepaskhah AR, Khalili D, Zand-Parsa S, 2002. Regional classification for dryland agriculture in southern Iran. J Arid Environ 50: 333-341. https://doi.org/10.1006/jare.2001.0822
Samperio A, Monino MJ, Marsal J, Prieto MH, Stöckle C, 2014. Use of CropSystas a tool to predict water use and crop coefficient in Japanese plum trees. Agric Water Manage 146: 57-68. https://doi.org/10.1016/j.agwat.2014.07.019
Sepaskhah AR, Akbari D, 2005. Deficit irrigation planning under variable seasonal rainfall. Biosyst Eng 92 (1): 97-106. https://doi.org/10.1016/j.biosystemseng.2005.05.014
Stockle CO, Martin S, Campbell GS, 1994. CropSyst, a cropping systems model: water/nitrogen budgets and crop yield. Agric Syst 46: 335-359. https://doi.org/10.1016/0308-521X(94)90006-2
Stöckle CO, Donatelli M, Nelson R, 2003. CropSyst, a cropping systems simulation model. Eur J Agron 18: 289-307. https://doi.org/10.1016/S1161-0301(02)00109-0
Stockle CO, Nelson RL, 1994. CropSyst User's manual (vers. 1.0). Biol. Syst. Eng. Dept., Washington State Univ., Pullman, WA, USA.
Tapia R, Botti C, Carrasco O, Prat L, Franck N, 2003. Effect of four irrigation rates on growth of six fig tree varieties. Acta Hortic 605: 113-118. https://doi.org/10.17660/ActaHortic.2003.605.17
Tavakoli AR, Liaghat A, Oweis T, Alizadeh A, 2012. The role of limited irrigation and advanced management on improving water productivity of rain-fed wheat at semi-cold region of upper Karkheh River Basin, Iran. Int J Agric Crop Sci 4: 939-948.
Torabi-Haghighi A, Keshtkaran P, 2008. Method of facing with drought in Fars Province-Iran. XXIV Conf. Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management Bled.
UNESCO, 1979. Map of the world distribution of arid regions: explanatory note. http://catalogue.unccd.int/1060_1977_unesco_mab_technicalnotes_arid_lands_map.pdf
Valdés E, Moreno D, Gamero E, Uriarte D, Prieto MH, Manzano R, Picón J, Intrigliolo D, 2009. Effects of cluster thinning and irrigation amount on water relations, growth, yield and fruit and wine composition of Tempranillo grapes in Extremadura (Spain). J Int Sci Vigne Vin 43: 67-76. https://doi.org/10.20870/oeno-one.2009.43.2.799
World Bank, 2017. Annual Report 2017. Washington, D.C. http://documents.worldbank.org/curated/en/143021506909711004/World-Bank-Annual-Report-2017
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