Calibration and Validation of Daisy Model for Sunflower under Partial Root-Zone Drying

Document Type : Research Paper

Authors

1 Ph.D. Graduate, Department of Water Sciences, Faculty of Engineering Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Km 9 Farah Abad Road, Sari, 48181-68984 Mazandaran, Iran.

2 Professor, Department of Water Sciences, Faculty of Engineering Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Km 9 Farah Abad Road, Sari, 48181-68984 Mazandaran, Iran (

3 Professor, Department of Water Sciences, Faculty of Engineering Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Km 9 Farah Abad Road, Sari, 48181-68984 Mazandaran, Iran.

4 Associate professor, Water Engineering Dept., Faculty of Agriculture Sciences, University of Guilan, and Department of Water Engineering and Environment, Caspian Sea Basin Research Center, Rasht, 41889-58643 Iran.

5 Professor, Department of Agroecology, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark.

Abstract

Due to the increased water consumption and the depletion of water resources, deficit irrigation is an optimal strategy for cultivation, which is usually applied by utilizing the methods of Deficit Irrigation (DI), Regulated Deficit Irrigation (PRD), and Partial Root-zone Drying Irrigation (PRD). In the PRD method, just one side of the plant is irrigated in each irrigation interval. Under these conditions, in the part of the irrigated plant, the roots absorb enough water and grow, so that there is no change in the amount of the plan’s photosynthesis. There are some models, including WOFOST (Van Diepen et al., 1989; Boogaard et al., 1998), EPIC (Jones et al., 1991), AquoCrop (Steduto et al., 2009), and STICS (Brisson et al., 2003), that can simulate crop yield under different soil conditions, Climates, irrigation schedule, and agricultural managements (Hashemi et al., 2018). These models simulate PRD irrigation, such as the DI method. Daisy is the first model, differentiating the gained results between the two methods (Hansen et al., 1990; Hansen et al., 1991); a semi-experimental model that considers the Richards equation (Richards, 1931) to simulate the soil water content and the experimental equations to simulate crop yield parameters. The PRD sub-model in the Daisy was developed and upgraded based on the data gained from potato cultivation under PRD irrigation (Liu et al., 2008; Plauborg et al., 2010). Since this sub-model was developed only for the potato, the aim of the present study was calibration and validation of two parameters; stomatal slop factor (m) and specific leaf weight modifier (LeafAIMod) in the PRD sub-model, to run the Daisy model to simulate sunflower under the PRD irrigation.

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Main Subjects


  • Abrahamsen, p. 2014. Daisy Program Reference Manual. University of Copenhagen, Department of Basic Sciences and Environment, Environmental Chemistry and Physics.

 

  • Ahmadi, S.H., Andersen, M.N., Plauborg, F., Poulsen, R.T., Jensen, C.R., Sepaskhah, A.R., Hansen, S. 2010. Effects of irrigation strategies and soils on field grown potatoes: Yield and water productivity. Agricultural Water Management. 97(11). pp. 1923-1930.

 

  • Allen, R.G., Pereira, L.S., Raes, D and Smith, M. 1998. Crop Evapotranspiration: Guidelines for Computing Crop Requirements. FAO Irrigation and Drainage Paper 56. Food and Agricultural Organization, Rome.

 

  • Boogaard, H.L., C.A. van Diepen, R.P. Rötter, J.M.C.A. Cabrera, and H.H. van Laar. 1998. User’s guide for the WOFOST 7.1 crop growth simulation model and WOFOST Control Center 1.5. Tech. Doc. 52. DLOWinand Staring Centre, Wageningen, the Netherlands.

 

  • Brisson, N., C. Gary, E. Justes, R. Roche, B. Mary, D. Ripoche, D. Zimmer, J. Sierra, P. Bertuzzi, P. Burger, F. Bussiere, Y.M. Cabidoche, P. Cellier, P. Debaeke, J.P. Gaudillere, C. Henault, F. Maraux, B. Seguin, and H. Sinoquet. 2003. An overview of the crop model STICS. European Journal of Agronomy. 18. pp. 309–332.

 

  • Cheraghizadeh, M. 2018. Evaluation of the effect of irrigation interval by conducting partial rootzone drying (PRD) deficit irrigation and full irrigation (FI) on sunflower plant (Hysun25) and its simulation by using HYDRUS-2D model. D. dissertation, Sari Agricultural Sciences and Natural Resources University, Sari. (In Persian).

 

  • Cheraghizadeh, M., Shahnazari, A. and Ziatabar Ahamadi, M. 2018. Evaluation of the effect of irrigation interval by conducting partial rootzone drying (PRD) deficit irrigation and full irrigation (FI) on sunflower plant. Iranian Journal of Soil and Water Research, 49(2). 439-451. (In Persian)

 

  • Davies, W.J. and Hartung, W. 2004. Has extrapolation from biochemistry to crop functioning worked to sustain plant production under water scarcity? In New Directions for a Diverse Planet. Proceeding of the Fourth International Crop Science Congress. September 26–October 1, Brisbane, Australia.

 

  • English, M.J., Musick, J.T. and Murty, V.V.N. 1990. Deficit irrigation. In Management of farm irrigation systems. ASAE Monograph no. 9. American Society of Agricultural Engineers publisher.

 

  • Ghadami Firouzabadi, A. 2015. The water use management and soil changes by full irrigation and partial rootzone drying (PRD) in sunflower.D. dissertation, Sari Agricultural Sciences and Natural Resources University, Sari. (In Persian).

 

  • Ghadami Firouzabadi, A., Shahnazari, A., Raeini, M. and Zareabyaneh, H. 2015. Effect of the deficit irrigation and partial root-zone irrigation on Yield, chlorophyll fluorescence and the growing parameters of sunflower. Journal of Water Research in Agriculture. 29(2). 167-157. (In Persian).

 

  • Hansen, S., Jensen, H.E., Nielsen, N.E. and Svendsen, H. 1990. DAISY: Soil Plant Atmosphere System Model. NPO Report No. A 10. The National Agency for Environmental Protection, Copenhagen. (http://daisy.ku.dk/publications/A10.pdf).

 

  • Hansen S., Jensen H.E., Nielsen N.E. and Svendsen H. 1991. Simulation of nitrogen dynamics and biomass production in winter wheat using the Danish simulation model Daisy. Fertilizer Research. 27. pp. 245-259.

 

  • Hansen, S. 2002. Daisy, a flexible Soil-Plant-Atmosphere system Model. The Royal Veterinary and agricultural University, Department of Agriculture Science, Laboratory for Agrohyrology and Bioclimatology.

 

  • Hashemi, S.F., Shahnazari, A., Raeini, M., Ghadami Firouzabadi, A. and Amiri, A. 2018. Evaluation of plant input coefficient of WOFOST in partial root-zone drying condition for sunflower. Journal of Water and Soil. 32(4). pp. 647-660. (In Persian).

 

  • Honari, M., Asharafzadeh, A., Khaledian, M., Vazifedoust, M. and Mailhol J. C. 2017. Comparison of HYDRUS-3D soil moisture simulations of Subsurface drip irrigation with experimental Observations in the south of France. Journal of Irrigation and Drainage Engineering, 143(7). 04017014-1:8.

 

  • Huber, K., Vanderborght, J., Javaux, M. and Vereeken, H. 2015. Simulating transpiration and leaf water relations in response to heterogeneous soil moisture and different stomatal control mechanisms. Plant Soil. 394 (1-2). pp. 109-1126.

 

  • Jones, C.A., Dyke, P.T., Williams, J.R., Kiniry, J.R., Benson, C.A. and Griggs, R.H. 1991. EPIC: An operational model for evaluation of agricultural sustainability. Agricultural Systems. 37. pp. 341–350.

 

  • Jones, H.G. 1992. Plants and microclimate: a quantitative approach to environmental plant physiology. (2nd edition). Cambridge. Cambridge university press.

 

  • Jovanovic, Z. and Stikic, R. 2018. Partial root-zone drying technique: from water saving to the improvement of a fruit quality. Frontiers in Sustainable Food Systems. 1 (3). doi: 10.3389/fsufs.2017.00003.

 

  • Karandish, F. and Simunek, J. 2018. An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS. Agriculture Water Management. 208. pp. 67-82.

 

  • Karandish, F., Mirlatifi, M., Shanazari, A., Abbasi, F. and Gheisari, M. 2013. Effect of partial root-zone drying and deficit irrigation on yield and yield components of Miaze. Iranian Journal of Soil and Water Research. 44 (1). 33-44 (In Persian).

 

  • Kirda, C., Cetin, M., Dasgan, Y., Topcu, S., Kaman, H., Ekici, B., Derici, M.R. and Ozguven, A.I. 2004. Yield response of greenhouse grown tomato to partial root drying and conventional deficit irrigation. Agricultural Water Management. 69. pp. 191–201.

 

  • Khaleghi, M., Hasanpour, F., Shahnazari, A. and Karandish, F. 2016. Influence of partial root-zone drying management with a combination of sea water on water productivity and sunflower yield. Iranian Journal of Soil and Water Research. 47(3). 613-623. (In Persian).

 

  • Lascano R.J. and Sojka R.E. 2007. Irrigation of agricultural crops. Preface. In Agronomy Monograph no. 30 (2nd edition). ASA-CSSA-SSSA publishing, Madison, WI, pp. ix.

 

  • Lee, H., Park, J. and Kim, J. 2019. Incremental capacity curve peak points-based regression analysis for the state-of-health predicition of a retired LiNiCoAlO2 series/Parallel configured battery pack. 8. pp. 1118. (doi:10.3390/electronics8101118).

 

  • Liu, F., Shahnazari, A., Andersen, M.N., Jacobsen, S.-E. and Jensen, C.R. 2006. Physiological responses of potato (Solanum tuberosum L.) to partial root-zone drying: ABA signalling, leaf gas exchange, and water use efficiency. Journal of Experimental Botany. 57. pp. 3727–3735.

 

  • Liu, F., Song, R., Zhang, X., Shahnazari, A., Andersen, M.N., Plauborg, F., Jacobsen, S.-E. and Jensen, C.R. 2008. Measurement and modeling of ABA signaling in potato (Solanum tuberosum L.) during partial root-zone drying. Environmental and Experimental Botany. 63. 385–391.

 

  • Makkink, G.F. 1957. Ekzameno de la formula de Penman. Netherlands Journal of Agricultural Science.5. pp. 290-305.

 

  • Manevski, K., Børgesen, C.D., Xiaoxin, L., Andersen, M.N., Abrahamsen, P., Chunsheng, H. and Hansen, S. 2016. Integrated modelling of crop production and nitrate leaching with the Daisy model. MethodsX,. 3. pp. 350-363.

 

  • Miner, G.l., and Bauerle, W. 2017. Seasonal variability of the parameters of the Ball-Berry model of stomatal conductance in maize (Zra mays L.) and sunflower (Helianthus annuus L.) under well-watered and water stressed conditions. Plant, Cell and Environment. 40(9).1874-1886.

 

  • Nash, J.E. and Sutcliffe, J.V. 1970. River flow forecasting through conceptual models Part 1. A discussion of principles. Journal of Hydrology. 10. pp. 282–290.

 

  • Plauborg, F., Abrahamsen, P., Gjettermann, B., Mollerup, M., Iversen, B.V., Liu, F., Andersen, M.N. and Hansen, S. 2010. Modeling of root ABA synthesis, stomatal conductance, transpiration and potato production under water saving irrigation regimes. Agricultural Water Management. pp. 425-439.

 

  • Richards, L.A. 1931. Capillary conductivity of liquids in porous mediums. Physics. 1. 318-333.

 

  • A.R. and Akbari, D. 2005. Deficit irrigation planning under variable seasonal rainfall. Biosystems Engineering. 92(1). pp. 97-106.

 

  • Sepaskhah, A.R. and Ahmadi, S.H. 2010. A review on partial root-zone drying irrigation. International Journal of Plant Production. 4(4). 241-258.

 

  • Sepaskhah, A.R., Tavakoli, A.R. and Mosavi, F. 2006. Principle and application of deficit irrigation. Iranian National Committee on Irrigation and Drainge. Issue No: 100.

 

  • Shahnazari, A., Jensen, C.R., Liu, F., Jacobsen, S.-E. and Andersen, M.N. 2005. Partial root zone drying for water saving. Organized by Kasetsart University and Swiss federal institute of technology (eds). In Ikke angivet. Kasetsart University. pp. 75-80.
  • Shahnazari, A., Liu, F., Andersen, M.N., Jacobsen, S.-E. and Jensen, C.R. 2007. Effects of partial root-zone drying on yield, tuber size and water use efficiency in potato under field Field Crops Research. 100. pp. 117-124.

 

  • Shahnazari, A., Ahmadi, S.H., Lærke, P.E., Liu, F., Plauborg, F., Jacobsen, S.E., Jensen, C.R. and Andersen, M.N. 2008. Nitrogen dynamics in the soil-plant system under deficit and partial root-zone drying irrigation strategies in potatoes. European Journal of Agronomy. 28. pp. 65-73.

 

  • Smith, M., Allen, R., Monteith, J.L., Pereira, L.A. and Segeren, A. 1990. Expert consultation on revision of FAO methodologies for crop water requirements. Annex V. FAO Penman-Monteith Formula.

 

  • Steduto, P., Hsiao, T.C., Raes, D. and Fereres, E. 2009. AquaCrop—The FAO crop model for predicting yield response to water: I. Concepts and underlying principles. Agronom Journal. 101. pp. 426–437.

 

  • Tang, L.S., Li, Y. and Zhang, J. 2005. Physiological and yield responses of cotton under partial root-zone irrigation. Field Crops Research. 94. pp. 214-223.

 

  • Van Diepen, C.A., Wolf, J., Van Keulen, H., and C. Rappoldt. 1989. WOFOST: A simulation model of crop production. Soil Use and Management. 5. pp. 16–24.

 

  • Wahbi, S., Wakrim, R., Aganchich, B., Tahi, H. and Serraj, R. 2005. Effects of partial root-zone drying (PRD) on adult olive tree (Olea europaea) in field conditions under arid climate I. Physiological and agronomic responses. Agriculture, Ecosystems & Environment, 106, 289-301.

 

  • Yousefian, M., Shahnazari, A., Ziatabar Ahmadi, M., Raeini, M. and Arabzadeh, B. 2018. Effect of regulated deficit irrigation and partial root-zone irrigation on Yeild, yield components and water efficiency of rice in furrow and basin irrigation methods. Journal of Water Research in Agriculture, 32(3), 341-483. (In Persian).

 

  • Zegbe, J.A., Behboudian, M.H. and Clothier, B.E., 2006. Responses of 'Petopride' processing tomato to partial rootzone drying at different phenological stages. Irrigation Science, 24, 203-210.
Volume 45, Issue 3
December 2022
Pages 15-30
  • Receive Date: 24 May 2021
  • Revise Date: 23 September 2021
  • Accept Date: 25 September 2021
  • First Publish Date: 23 October 2022