AquaCrop parametrisation for quinoa in arid environments

  • Jorge Alvar-Beltrán | jorge.alvar@unifi.it Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Italy. https://orcid.org/0000-0003-2454-0629
  • Anne Gobin Flemish Institute for Technological Research (VITO), Mol, Belgium; Department of Earth and Environmental Sciences, Faculty of BioScience Engineering, University of Leuven, Belgium.
  • Simone Orlandini Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Italy.
  • Anna Dalla Marta Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Italy.

Abstract

Highlights
- 13% yield losses when comparing progressive drought with full irrigated treatments.
- 25% water savings when comparing progressive drought with full irrigated treatments.
- Calibrated and validated NRMSE values of 10.0% and 13.3% for biomass, respectively.
- Calibrated and validated NRMSE values of 19.2% and 7.3% for yield, respectively.

 

The resilience of quinoa to drought stress conditions makes the crop suitable for the Sahel region. It can support grain production during the dry season and be considered an alternative crop for alleviating food insecurity within the region. Given the importance of this crop outside the indigenous cultivation area, there is a requisite for the development of crop models to facilitate further expansion of quinoa along the Sahel region. Crop water models are of interest due to increasing pressure on water resources, and the portrayal of irrigation scheduling as the best option for water optimisation. The AquaCrop model was selected, as this model simulates crop development and derives both optimal frequencies and net applications of irrigation. Due to limited water resources in the region, different irrigation regimes [full irrigation, progressive drought (PD), deficit irrigation and extreme deficit irrigation] were proposed for analysing yield and biomass responses to water stress conditions. Results suggest that yields were stabilised at around 1.0 Mg ha–1 under PD, thereby prioritising maximum water productivity rather than maximum yields. Water optimisation was attained by watering less at a suggested 310 mm, but with more frequent irrigation events, 28 rather than 20.

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References

Adeboye OB, Schultz B, Adekalu KO, Prasad K, 2017. Modelling of response of the growth and yield of soybean to full and deficit irrigation by using Aquacrop. Irrig. Drain. 66:192-205. DOI: https://doi.org/10.1002/ird.2073

Akumaga U, Tarhule A, Yusuf A, 2017. Validation and testing of the FAO AquaCrop model under different levels of nitrogen fertiliser on rainfed maize in Nigeria, West Africa. Agric. Forest Meteorol. 232:225-34. DOI: https://doi.org/10.1016/j.agrformet.2016.08.011

Allen RG, Pereira LS, Raes D, Smith M, 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, 300(9), D05109. FAO, Rome, Italy.

Alvar-Beltrán J, Saturnin C, Dao A, Dalla Marta A, Sanou J, Orlandini S, 2019a. Effect of drought and nitrogen fertilisation on quinoa (Chenopodium quinoa Willd.) under field conditions in Burkina Faso. Ital. J. Agrometeorol. 1:33-43.

Alvar-Beltrán J, Dao A, Saturnin C, Dalla Marta A, Sanou J, Orlandini S, 2019b. Effect of drought, nitrogen fertilisation, temperature, and photoperiodicity on quinoa plant growth and development in the Sahel. Agron. J. 9:607. DOI: https://doi.org/10.3390/agronomy9100607

Alvar-Beltrán J, Dao A, Dalla Marta A, Heureux A, Sanou J, Orlandini S, 2020a. Farmers’ perceptions of climate change and agricultural adaptation in Burkina Faso. Atmosphere 11:827. DOI: https://doi.org/10.3390/atmos11080827

Alvar-Beltrán J, Verdi L, Dalla Marta A, Dao A, Vivoli R, Sanou J, Orlandini S, 2020b. The effect of heat stress on quinoa (cv. Titicaca) under controlled climatic conditions. J. Agric. Sci. 1-7. DOI: https://doi.org/10.1017/S0021859620000556

Araya A, Habtu S, Hadgu KM, Kebede A, Dejene T, 2010. Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agric. Water Manage. 97:1838-46. DOI: https://doi.org/10.1016/j.agwat.2010.06.021

Araya A, Kisekka I, Holman J, 2016. Evaluating deficit irrigation management strategies for grain sorghum using AquaCrop. Irrig. Sci. 34:465-81. DOI: https://doi.org/10.1007/s00271-016-0515-7

Barbier B, Yacouba H, Karambiri H, Zoromé M, Somé B, 2009. Human vulnerability to climate variability in the Sahel: farmers’ adaptation strategies in northern Burkina Faso. Environ. Manage. 43:790-803. DOI: https://doi.org/10.1007/s00267-008-9237-9

Biasutti M, Sobel AH, 2009. Delayed Sahel rainfall and global seasonal cycle in a warmer climate. Geophys. Res. Lett 36(23). DOI: https://doi.org/10.1029/2009GL041303

Breidy J, 2015. Final Report on quinoa Evaluation Trials in Lebanon. [Online-Report]. [Accessed on: 6th May 2017]. Available from: http://quinoa.agrinnovation.net

Centre National de Recherche Agronomique et Development Agricole (CNRADA), 2015. Technical assistance for the introduction of Quinoa and appropriation/institutionalisation of its production in Mauritania. Project: (TCP/RAB/3403). FAO, Rome, Italy.

Dao A, Guira A, Alvar-Beltrán J, Gnanda A, Nebie L, Sanou J, 2020. Quinoa’s response to different sowing periods in two agro-ecological zones of Burkina Faso. Ital. Agrometeorol. 63-72.

Darko RO, Shouqi Y, Haofang Y, Liu J, Abbey A. 2016. Calibration and validation of AquaCrop for deficit and full irrigation of tomato. Int. J. Agricult. Biol. Engine. 9:104-10.

de Fraiture C, Kouali GN, Sally H, Kabre P, 2014. Pirates or pioneers? Unplanned irrigation around small reservoirs in Burkina Faso. Agric. Water Manage. 131:212-20. DOI: https://doi.org/10.1016/j.agwat.2013.07.001

Djamal S, 2015. Technical assistance for the introduction of quinoa and appropriation/institutionalisation of its production in Algeria-Second Evaluation Report. [Online-Report]. [Accessed on: 6th May 2017]. Available from: http://quinoa.agrinnovation.net

Farahani HJ, Izzi G, Oweis TY, 2009. Parameterisation and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agron. J. 101:469-76. DOI: https://doi.org/10.2134/agronj2008.0182s

Food and Agriculture Organisation (FAO), 1990. Chapter 2: FAO Penman-Monteith equation. [Accessed on 8th April 2019] Available from: http://www.fao.org

Food and Agriculture Organisation (FAO), 2011. Aquastat database: Burkina Faso. [Accessed on 8th April 2019] Available from: http://www.fao.org

Food and Agriculture Organisation (FAO), 2019. Land and Water, Databases and Software: Aquacrop [Accessed on 22nd April 2019] Available from: http://www.fao.org/aquacrop

Garcia M, Raes D, Jacobsen SE, 2003. Evapotranspiration analysis and irrigation requirements of quinoa (Chenopodium quinoa) in the Bolivian highlands. Agric. Water Manage. 60:119-34. DOI: https://doi.org/10.1016/S0378-3774(02)00162-2

Gebreselassie Y, Ayana M, Tadele K, 2015. Field experimentation-based simulation of yield response of maize crop to deficit irrigation using AquaCrop model, Arba Minch, Ethiopia. Afr. J. Agric. Res. 10:269-80. DOI: https://doi.org/10.5897/AJAR2014.8703

Geerts S, Raes D, Garcia M, Vacher J, Mamani R, Mendoza J, Taboada C, 2008. Introducing deficit irrigation to stabilise yields of quinoa (Chenopodium quinoa Willd.). Eur. J. Agron. 28:427-36. DOI: https://doi.org/10.1016/j.eja.2007.11.008

Geerts S, Raes D, Garcia M, Miranda R, Cusicanqui JA, Taboada C, Mamani J, 2009. Simulating yield response of quinoa to water availability with AquaCrop. Agron. J. 101:499-508. DOI: https://doi.org/10.2134/agronj2008.0137s

Geerts S, Raes D, Garcia M, 2010. Using AquaCrop to derive deficit irrigation schedules. Agric. Water Manage. 98:213-6. DOI: https://doi.org/10.1016/j.agwat.2010.07.003

Hargreaves GH, Samani ZA, 1985. Reference crop evapotranspiration from temperature. Appl. Engine. Agricult. 1:96-9. DOI: https://doi.org/10.13031/2013.26773

Hassan L, 2015. Iraq final evaluation report on quinoa. [Online-Report]. [Accessed on: 5th May 2017]. Available from: http://quinoa.agrinnovation.net

Hatfield JL, Prueger JH, 2015. Temperature extremes: Effect on plant growth and development. Weather Climate Extremes 10:4-10. DOI: https://doi.org/10.1016/j.wace.2015.08.001

Ibrahim B, Karambiri H, Polcher J, Yacouba H, Ribstein P, 2014. Changes in rainfall regime over Burkina Faso under the climate change conditions simulated by 5 regional climate models. Climate Dynamics 42:1363-81. DOI: https://doi.org/10.1007/s00382-013-1837-2

Jacobsen SE, Bach AP, 1998. The influence of temperature on seed germination rate in quinoa (Chenopodium quinoa Willd. Seed Sci. Technol (Switzerland) 26:515-23.

Jacovides CP, Kontoyiannis H. 1995. Statistical procedures for the evaluation of evapotranspiration computing models. Agric. Water Manage. 27:365-71. DOI: https://doi.org/10.1016/0378-3774(95)01152-9

Karunaratne AS, Azam-Ali SN, Izzi G, Steduto P, 2011. Calibration and validation of FAO-AquaCrop model for irrigated and water deficient bambara groundnut. Exper. Agric. 47:509-27. DOI: https://doi.org/10.1017/S0014479711000111

Kra E, 2014. FAO-56 Penman-Monteith daily from linear regression calibrated Hargreaves equation with wind terms in tropics with Limited data. Int. J. Agron. 2014;article ID 402809, 9 pages. DOI: https://doi.org/10.1155/2014/402809

Leu JM, Traore S, Wang YM, Kan CE, 2010. The effect of organic matter amendment on soil water holding capacity change for irrigation water saving: Case study in Sahelian environment of Africa. Sci. Res. Essays 5:3564-71.

Mermoud A, Tamini TD, Yacouba H, 2005. Impacts of different irrigation schedules on the water balance components of an onion crop in a semi-arid zone. Agric. Water Manage. 77:282-95. DOI: https://doi.org/10.1016/j.agwat.2004.09.033

Mora C, Frazier AG, Longman RJ, Dacks RS, Walton MM, Tong EJ, Ambrosino CM, 2013. The projected timing of climate departure from recent variability. Nature 502:183. DOI: https://doi.org/10.1038/nature12540

Niang I, Ruppel OC, Abdrabo MA, Essel A, Lennard C, Padgham J, Urquhart P, 2014. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Barros, V.R., C.B. Field, D.J. Dokken, M.D. Mastrandrea, K.J. Mach, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1199-1265.

Patrignani A, Ochsner TE, 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover. Agron. J. 107:2312-20. DOI: https://doi.org/10.2134/agronj15.0150

Präger A, Munz S, Nkebiwe PM, Mast B, Graeff-Hönninger S, 2018. Yield and quality characteristics of different quinoa (Chenopodium quinoa Willd.) Cultivars grown under field conditions in Southwestern Germany. Agronomy 8:197. DOI: https://doi.org/10.3390/agronomy8100197

Raes D, Steduto P, Hsiao TC, Fereres E, 2009. AquaCrop-the FAO crop model to simulate yield response to water: II. Main algorithms and software description. Agron. J. 101:438-47. DOI: https://doi.org/10.2134/agronj2008.0140s

Raes D, Steduto P, Hsiao TC, Fereres E, 2018a. Chapter 1: FAO crop-water productivity model to simulate yield response to water. Reference Manual. Food Agricultural Organisation (FAO), Rome, Italy.

Raes D, Steduto P, Hsiao TC, Fereres E, 2018b. Chapter 2 : Users guide. AquaCrop version 6.0-6.1. Reference Manual. Food Agricultural Organisation (FAO), Rome, Italy, pp. 2-302.

Razzaghi F, Plauborg F, Jacobsen SE, Jensen CR, Andersen MN, 2012. Effect of nitrogen and water availability of three soil types on yield, radiation use efficiency and evapotranspiration in field-grown quinoa. Agric. Water Manage. 109:20-9. DOI: https://doi.org/10.1016/j.agwat.2012.02.002

Saeed AL, 2015. Yemen Progress Report on quinoa. [Online-Report] [Accessed on: 6th May 2017]. Available from: http://quinoa.agrinnovation.net

Sawadogo H, Bock L, Lacroix D, Zombré NP, 2008. Restauration des potentialités de sols dégradés à l'aide du zaï et du compost dans le Yatenga (Burkina Faso). Biotechnol. Agron. Soc. Environ. 12:279-90.

Sam-Amoah LK, Darko RO, Owusu-Sekyere JD, 2013. Calibration and validation of Aqua Crop for full and deficit irrigation of hot pepper. J. Agric. Biol. Sci. 8:175-8.

Steduto P, Hsiao TC, Raes D, Fereres E, 2009. AquaCrop - The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron. J. 101:426-37. DOI: https://doi.org/10.2134/agronj2008.0139s

Steduto P, Hsiao TC, Fereres E, Raes D, 2012. Crop yield response to water (Vol. 1028). FAO, Rome, Italy.

Tabari H, Grismer ME, Trajkovic S, 2013. Comparative analysis of 31 reference evapotranspiration methods under humid conditions. Irrig. Sci. 31:107-17. DOI: https://doi.org/10.1007/s00271-011-0295-z

Wang YM, Traore S, Kerh T, 2009. Applying evapotranspiration reference model and rainfall contribution index for agricultural water management plan in Burkina Faso. Afr. J. Agricult. Res. 4:1493-504.

Willmott CJ, 1984. On the evaluation of model performance in physical geography. In: G.L. Gaile, C.J. Willmott (Eds.), Spatial Statistics and Models. D. Reidel, Boston, USA, pp 443-460. DOI: https://doi.org/10.1007/978-94-017-3048-8_23

Yabi I, Afouda F, 2012. Extreme rainfall years in Benin (West Africa). Quatern. Int. 262:39-43. DOI: https://doi.org/10.1016/j.quaint.2010.12.010

Published
2020-12-23
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Original Articles
Keywords:
Water management, calibration, validation, climate resilient crops, Sahel region.
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How to Cite
Alvar-Beltrán, J., Gobin, A., Orlandini, S., & Dalla Marta, A. (2020). AquaCrop parametrisation for quinoa in arid environments. Italian Journal of Agronomy, 16(1). https://doi.org/10.4081/ija.2020.1749