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Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)

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  • Wellens, Joost
  • Raes, Dirk
  • Fereres, Elias
  • Diels, Jan
  • Coppye, Cecilia
  • Adiele, Joy Geraldine
  • Ezui, Kodjovi Senam Guillaume
  • Becerra, Luis-Augusto
  • Selvaraj, Michael Gomez
  • Dercon, Gerd
  • Heng, Lee Kheng

Abstract

FAO’s water-driven crop growth simulation model, AquaCrop, was calibrated and validated for cassava (Manihot esculenta Crantz). Existing datasets, used in similar published works, were shared covering several years and regions (Colombia, Nigeria and Togo). Different varieties were tested for the case of Colombia and a single variety (TME-419) for Nigeria and Togo. Overall calibrated biomass simulations resulted in an R2 of 0.96 and a RMSE of 1.99 tonne DM/ha. As for dry tuber yield estimates, it was not possible to find a single harvest index for the ensembled varieties given their varying characteristics and limited data per variety. However, for the TME-419 variety (Nigeria and Togo) calibrated root tuber simulations yielded and R2 of 0.94 and a RMSE of 2.37 tonne DM/ha. A single crop-file was developed for different cassava varieties and agro-ecological regions, which can be applied with confidence to further study cassava related food security, water productivity, improved agronomic practices, etc.

Suggested Citation

  • Wellens, Joost & Raes, Dirk & Fereres, Elias & Diels, Jan & Coppye, Cecilia & Adiele, Joy Geraldine & Ezui, Kodjovi Senam Guillaume & Becerra, Luis-Augusto & Selvaraj, Michael Gomez & Dercon, Gerd & H, 2022. "Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)," Agricultural Water Management, Elsevier, vol. 263(C).
    • Handle: RePEc:eee:agiwat:v:263:y:2022:i:c:s0378377422000385
    DOI: 10.1016/j.agwat.2022.107491
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    References listed on IDEAS

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    1. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    2. Wellens, Joost & Raes, Dirk & Traore, Farid & Denis, Antoine & Djaby, Bakary & Tychon, Bernard, 2013. "Performance assessment of the FAO AquaCrop model for irrigated cabbage on farmer plots in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 127(C), pages 40-47.
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    Cited by:

    1. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Vimbayi Grace Petrova Chimonyo & Tendai Polite Chibarabada & Dennis Junior Choruma & Richard Kunz & Sue Walker & Festo Massawe & Albert Thembinkosi Modi & Tafadzwanashe Mabhaudhi, 2022. "Modelling Neglected and Underutilised Crops: A Systematic Review of Progress, Challenges, and Opportunities," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    3. Ricardo Flores-Marquez & Jesús Vera-Vílchez & Patricia Verástegui-Martínez & Sphyros Lastra & Richard Solórzano-Acosta, 2024. "An Evaluation of Dryland Ulluco Cultivation Yields in the Face of Climate Change Scenarios in the Central Andes of Peru by Using the AquaCrop Model," Sustainability, MDPI, vol. 16(13), pages 1-22, June.
    4. Yalong Du & Qiuping Fu & Pengrui Ai & Yingjie Ma & Yang Pan, 2024. "Modeling Comprehensive Deficit Irrigation Strategies for Drip-Irrigated Cotton Using AquaCrop," Agriculture, MDPI, vol. 14(8), pages 1-24, August.

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