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Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed conditions

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  • Sandhu, Rupinder
  • Irmak, Suat

Abstract

A well-tested crop model can be an important tool in assessment of different crop management scenarios to improve crop yield and water productivity. In this study, the FAO AquaCrop model was evaluated for predicting maize (Zea mays L.) canopy cover (CC), available soil-water (ASW), grain yield, crop evapotranspiration (ETc), and water use efficiency (WUE) when grown at three different planting dates and densities under rainfed and subsurface drip-irrigated conditions in Nebraska, USA. The model adequately simulated CC in 2011 with root mean squared error (RMSE) and model efficiency (EF) in the range of 5.3 to 12.7% and 0.42 to 0.94, respectively; while in drier 2012, CC was substantially under-predicted with higher RMSE of 24.4%. ASW was consistently underestimated in both years with negative EF value for most treatments in 2011, while in 2012, this trend was more pronounced in irrigated treatments, especially during mid-season. ETc estimates were marginal with prediction error of up to 15% in 2011 and 18% in 2012, and overall RMSE of 35 mm for both years. Simulated grain yield was acceptable in 2011 with deviations from measured data up to 8% while in 2012, the deviations were much higher up to 40% for rainfed treatments with overestimations in both years. The errors in ETc and yield simulations are considered high, especially when considering the model application in water-limiting or/and rainfed conditions, and low-yielding areas in which these errors can be a substantial portion of the total yields produced and in seasonal total ETc from production fields and can cause challenges for growers and decision-makers. The overestimation of yield and underestimation of ETc resulted in overestimation of WUE, producing inconsistent estimates in both years. Detailed analyses of model performance and potential reasons for the discrepancies and areas that require improvements in the model are presented.

Suggested Citation

  • Sandhu, Rupinder & Irmak, Suat, 2019. "Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed cond," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    • Handle: RePEc:eee:agiwat:v:224:y:2019:i:c:14
    DOI: 10.1016/j.agwat.2019.105753
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    1. Paredes, P. & Wei, Z. & Liu, Y. & Xu, D. & Xin, Y. & Zhang, B. & Pereira, L.S., 2015. "Performance assessment of the FAO AquaCrop model for soil water, soil evaporation, biomass and yield of soybeans in North China Plain," Agricultural Water Management, Elsevier, vol. 152(C), pages 57-71.
    2. El-Hendawy, Salah E. & El-Lattief, Essam A. Abd & Ahmed, Mohamed S. & Schmidhalter, Urs, 2008. "Irrigation rate and plant density effects on yield and water use efficiency of drip-irrigated corn," Agricultural Water Management, Elsevier, vol. 95(7), pages 836-844, July.
    3. Sandhu, Rupinder & Irmak, Suat, 2019. "Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    4. Abedinpour, M. & Sarangi, A. & Rajput, T.B.S. & Singh, Man & Pathak, H. & Ahmad, T., 2012. "Performance evaluation of AquaCrop model for maize crop in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 110(C), pages 55-66.
    5. Hassanli, Mohammad & Ebrahimian, Hamed & Mohammadi, Ehsan & Rahimi, Amirreza & Shokouhi, Amirhossein, 2016. "Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models," Agricultural Water Management, Elsevier, vol. 176(C), pages 91-99.
    6. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Ding, Risheng & Du, Taisheng & Li, Sien & Zhang, Xiaotao, 2017. "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," Agricultural Systems, Elsevier, vol. 151(C), pages 20-32.
    7. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    8. Stricevic, Ruzica & Cosic, Marija & Djurovic, Nevenka & Pejic, Borivoj & Maksimovic, Livija, 2011. "Assessment of the FAO AquaCrop model in the simulation of rainfed and supplementally irrigated maize, sugar beet and sunflower," Agricultural Water Management, Elsevier, vol. 98(10), pages 1615-1621, August.
    9. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
    10. Nyakudya, Innocent Wadzanayi & Stroosnijder, Leo, 2014. "Effect of rooting depth, plant density and planting date on maize (Zea mays L.) yield and water use efficiency in semi-arid Zimbabwe: Modelling with AquaCrop," Agricultural Water Management, Elsevier, vol. 146(C), pages 280-296.
    11. Araya, A. & Habtu, Solomon & Hadgu, Kiros Meles & Kebede, Afewerk & Dejene, Taddese, 2010. "Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare)," Agricultural Water Management, Elsevier, vol. 97(11), pages 1838-1846, November.
    12. Ko, Jonghan & Piccinni, Giovanni & Steglich, Evelyn, 2009. "Using EPIC model to manage irrigated cotton and maize," Agricultural Water Management, Elsevier, vol. 96(9), pages 1323-1331, September.
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