IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v208y2018icp107-119.html
   My bibliography  Save this article

Calibration and validation of the AquaCrop model for repeatedly harvested leafy vegetables grown under different irrigation regimes

Author

Listed:
  • Nyathi, M.K.
  • van Halsema, G.E.
  • Annandale, J.G.
  • Struik, P.C.

Abstract

Traditional leafy vegetables (TLVs’) are vegetables that were introduced in an area a long time ago, where they adapted to local conditions and became part of the local culture. In Sub-Saharan Africa, the use of TLVs’ as a nutrient dense alternative food source to combat micronutrient deficiency of rural resource-poor households (RRPHs), has gained attention in debates on food and nutrition security. However, TLVs’ are underutilised because of lack of information on their yield response to water and fertiliser. To better assess TLVs’ yield response to water stress, the AquaCrop model was calibrated (using 2013/14 data) and validated (using 2014/15 data) for three repeatedly harvested leafy vegetables [Amaranthus cruentus (Amaranth), Cleome gynandra (Spider flower), and Beta vulgaris (Swiss chard)] in Pretoria, South Africa. Experiments were conducted during two consecutive seasons, in which the selected leafy vegetables were subjected to two irrigation regimes; well-watered (I30) and severe water stress (I80). Measured parameters were canopy cover (CC), soil water content (SWC), aboveground biomass (AGB), actual evapotranspiration (ETa), and water productivity (WP). Statistical indicators [root mean square error (RMSE), RMSE-standard deviation ratio (RSR), R2, and relative deviation] showed good fit between measured and simulated (0.60 < R2 < 0.99, 0.94 < RMSE < 5.44, and 0.04 < RSR < 0.79) values for the well-watered treatment. However, the fit was not as good for the water-stressed treatment for CC, SWC, ETa and WP. Nevertheless, the model simulated the selected parameters satisfactorily. These results revealed that there was a clear difference between transpiration water productivity (WPTr) for C4 crops (Amaranth and Spider flower) and a C3 crop (Swiss chard); WPTr for the C4 crops ranged from 4.61 to 6.86 kg m−3, whereas for the C3 crop, WPTr ranged from 3.11 to 4.43 kg m−3. It is a challenge to simulate yield response of repeatedly harvested leafy vegetables because the model cannot run sequential harvests at one time; therefore, each harvest needs to be simulated separately, making it cumbersome. To design sustainable food production systems that are health-driven and inclusive of RRPHs, we recommend that more vegetables (including traditional vegetables) should be included in the model database, and that sequential harvesting be facilitated.

Suggested Citation

  • Nyathi, M.K. & van Halsema, G.E. & Annandale, J.G. & Struik, P.C., 2018. "Calibration and validation of the AquaCrop model for repeatedly harvested leafy vegetables grown under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 208(C), pages 107-119.
    • Handle: RePEc:eee:agiwat:v:208:y:2018:i:c:p:107-119
    DOI: 10.1016/j.agwat.2018.06.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418307984
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2018.06.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Mustafa, S.M.T. & Vanuytrecht, E. & Huysmans, M., 2017. "Combined deficit irrigation and soil fertility management on different soil textures to improve wheat yield in drought-prone Bangladesh," Agricultural Water Management, Elsevier, vol. 191(C), pages 124-137.
    3. 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.
    4. Abdul Malik & Abdul Sattar Shakir & Muhammad Ajmal & Muhammad Jamal Khan & Taj Ali Khan, 2017. "Assessment of AquaCrop Model in Simulating Sugar Beet Canopy Cover, Biomass and Root Yield under Different Irrigation and Field Management Practices in Semi-Arid Regions of Pakistan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4275-4292, October.
    5. Montoya, F. & Camargo, D. & Ortega, J.F. & Córcoles, J.I. & Domínguez, A., 2016. "Evaluation of Aquacrop model for a potato crop under different irrigation conditions," Agricultural Water Management, Elsevier, vol. 164(P2), pages 267-280.
    6. 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.
    7. Foster, T. & Brozović, N. & Butler, A.P. & Neale, C.M.U. & Raes, D. & Steduto, P. & Fereres, E. & Hsiao, T.C., 2017. "AquaCrop-OS: An open source version of FAO's crop water productivity model," Agricultural Water Management, Elsevier, vol. 181(C), pages 18-22.
    8. Razzaghi, Fatemeh & Zhou, Zhenjiang & Andersen, Mathias N. & Plauborg, Finn, 2017. "Simulation of potato yield in temperate condition by the AquaCrop model," Agricultural Water Management, Elsevier, vol. 191(C), pages 113-123.
    9. Eric Obedy Gido & Oscar Ingasia Ayuya & George Owuor & Wolfgang Bokelmann, 2017. "Consumption intensity of leafy African indigenous vegetables: towards enhancing nutritional security in rural and urban dwellers in Kenya," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-16, December.
    10. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    11. Tavakoli, Ali Reza & Mahdavi Moghadam, Mehran & Sepaskhah, Ali Reza, 2015. "Evaluation of the AquaCrop model for barley production under deficit irrigation and rainfed condition in Iran," Agricultural Water Management, Elsevier, vol. 161(C), pages 136-146.
    12. Yuan, M. & Zhang, L. & Gou, F. & Su, Z. & Spiertz, J.H.J. & van der Werf, W., 2013. "Assessment of crop growth and water productivity for five C3 species in semi-arid Inner Mongolia," Agricultural Water Management, Elsevier, vol. 122(C), pages 28-38.
    13. Geneille E. Greaves & Yu-Min Wang, 2017. "Identifying Irrigation Strategies for Improved Agricultural Water Productivity in Irrigated Maize Production through Crop Simulation Modelling," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    14. Renault, D. & Wallender, W. W., 2000. "Nutritional water productivity and diets," Agricultural Water Management, Elsevier, vol. 45(3), pages 275-296, August.
    15. International Food Policy Research Institute, 2016. "Global Food Policy Report 2016," Working Papers id:10538, eSocialSciences.
    16. van Halsema, Gerardo E. & Vincent, Linden, 2012. "Efficiency and productivity terms for water management: A matter of contextual relativism versus general absolutism," Agricultural Water Management, Elsevier, vol. 108(C), pages 9-15.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    2. Thando Lwandile Mthembu & Richard Kunz & Shaeden Gokool & Tafadzwanashe Mabhaudhi, 2024. "The Use of Agricultural Databases for Crop Modeling: A Scoping Review," Sustainability, MDPI, vol. 16(15), pages 1-20, July.
    3. Delorit, Justin D. & Parker, Dominic P. & Block, Paul J., 2019. "An agro-economic approach to framing perennial farm-scale water resources demand management for water rights markets," Agricultural Water Management, Elsevier, vol. 218(C), pages 68-81.
    4. Raeisi, Leila Goli & Morid, Saeed & Delavar, Majid & Srinivasan, Raghavan, 2019. "Effect and side-effect assessment of different agricultural water saving measures in an integrated framework," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    5. 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.
    6. Shahzad Ali & Muhammad Umair & Tyan Alice Makanda & Siqi Shi & Shaik Althaf Hussain & Jian Ni, 2024. "Modeling Current and Future Potential Land Distribution Dynamics of Wheat, Rice, and Maize under Climate Change Scenarios Using MaxEnt," Land, MDPI, vol. 13(8), pages 1-26, July.
    7. Adeboye, Omotayo B. & Schultz, Bart & Adekalu, Kenneth O. & Prasad, Krishna C., 2019. "Performance evaluation of AquaCrop in simulating soil water storage, yield, and water productivity of rainfed soybeans (Glycine max L. merr) in Ile-Ife, Nigeria," Agricultural Water Management, Elsevier, vol. 213(C), pages 1130-1146.
    8. Nyathi, M.K. & Du Plooy, C.P. & Van Halsema, G.E. & Stomph, T.J. & Annandale, J.G. & Struik, P.C., 2019. "The dual-purpose use of orange-fleshed sweet potato (Ipomoea batatas var. Bophelo) for improved nutritional food security," Agricultural Water Management, Elsevier, vol. 217(C), pages 23-37.
    9. Admire Isaac Tichafa Shayanowako & Oliver Morrissey & Alberto Tanzi & Maud Muchuweti & Guillermina M. Mendiondo & Sean Mayes & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "African Leafy Vegetables for Improved Human Nutrition and Food System Resilience in Southern Africa: A Scoping Review," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    10. Nyathi, M.K. & Van Halsema, G.E. & Beletse, Y.G. & Annandale, J.G. & Struik, P.C., 2018. "Nutritional water productivity of selected leafy vegetables," Agricultural Water Management, Elsevier, vol. 209(C), pages 111-122.
    11. Dhouib, M. & Zitouna-Chebbi, R. & Prévot, L. & Molénat, J. & Mekki, I. & Jacob, F., 2022. "Multicriteria evaluation of the AquaCrop crop model in a hilly rainfed Mediterranean agrosystem," Agricultural Water Management, Elsevier, vol. 273(C).
    12. Nyathi, M.K. & Mabhaudhi, T. & Van Halsema, G.E. & Annandale, J.G. & Struik, P.C., 2019. "Benchmarking nutritional water productivity of twenty vegetables - A review," Agricultural Water Management, Elsevier, vol. 221(C), pages 248-259.
    13. Tinashe Lindel Dirwai & Aidan Senzanje & Tafadzwanashe Mabhaudhi, 2021. "Calibration and Evaluation of the FAO AquaCrop Model for Canola ( Brassica napus ) under Varied Moistube Irrigation Regimes," Agriculture, MDPI, vol. 11(5), pages 1-18, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmadzadeh Araji, Hamidreza & Wayayok, Aimrun & Massah Bavani, Alireza & Amiri, Ebrahim & Abdullah, Ahmad Fikri & Daneshian, Jahanfar & Teh, C.B.S., 2018. "Impacts of climate change on soybean production under different treatments of field experiments considering the uncertainty of general circulation models," Agricultural Water Management, Elsevier, vol. 205(C), pages 63-71.
    2. Xu, Junzeng & Bai, Wenhuan & Li, Yawei & Wang, Haiyu & Yang, Shihong & Wei, Zheng, 2019. "Modeling rice development and field water balance using AquaCrop model under drying-wetting cycle condition in eastern China," Agricultural Water Management, Elsevier, vol. 213(C), pages 289-297.
    3. Alex Zizinga & Jackson Gilbert Majaliwa Mwanjalolo & Britta Tietjen & Bobe Bedadi & Ramon Amaro de Sales & Dennis Beesigamukama, 2022. "Simulating Maize Productivity under Selected Climate Smart Agriculture Practices Using AquaCrop Model in a Sub-humid Environment," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    4. López-Urrea, R. & Domínguez, A. & Pardo, J.J. & Montoya, F. & García-Vila, M. & Martínez-Romero, A., 2020. "Parameterization and comparison of the AquaCrop and MOPECO models for a high-yielding barley cultivar under different irrigation levels," Agricultural Water Management, Elsevier, vol. 230(C).
    5. Nyathi, M.K. & Van Halsema, G.E. & Beletse, Y.G. & Annandale, J.G. & Struik, P.C., 2018. "Nutritional water productivity of selected leafy vegetables," Agricultural Water Management, Elsevier, vol. 209(C), pages 111-122.
    6. 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.
    7. Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
    8. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    9. Fawen Li & Dong Yu & Yong Zhao, 2019. "Irrigation Scheduling Optimization for Cotton Based on the AquaCrop Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 39-55, January.
    10. Razzaghi, Fatemeh & Zhou, Zhenjiang & Andersen, Mathias N. & Plauborg, Finn, 2017. "Simulation of potato yield in temperate condition by the AquaCrop model," Agricultural Water Management, Elsevier, vol. 191(C), pages 113-123.
    11. Toumi, J. & Er-Raki, S. & Ezzahar, J. & Khabba, S. & Jarlan, L. & Chehbouni, A., 2016. "Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management," Agricultural Water Management, Elsevier, vol. 163(C), pages 219-235.
    12. Tafadzwanashe Mabhaudhi & Tendai Chibarabada & Albert Modi, 2016. "Water-Food-Nutrition-Health Nexus: Linking Water to Improving Food, Nutrition and Health in Sub-Saharan Africa," IJERPH, MDPI, vol. 13(1), pages 1-19, January.
    13. 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.
    14. Mustafa, S.M.T. & Vanuytrecht, E. & Huysmans, M., 2017. "Combined deficit irrigation and soil fertility management on different soil textures to improve wheat yield in drought-prone Bangladesh," Agricultural Water Management, Elsevier, vol. 191(C), pages 124-137.
    15. 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).
    16. 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.
    17. Marjan Aziz & Sultan Ahmad Rizvi & Muhammad Sultan & Muhammad Sultan Ali Bazmi & Redmond R. Shamshiri & Sobhy M. Ibrahim & Muhammad A. Imran, 2022. "Simulating Cotton Growth and Productivity Using AquaCrop Model under Deficit Irrigation in a Semi-Arid Climate," Agriculture, MDPI, vol. 12(2), pages 1-18, February.
    18. Ćosić, Marija & Stričević, Ružica & Djurović, Nevenka & Moravčević, Djordje & Pavlović, Miloš & Todorović, Mladen, 2017. "Predicting biomass and yield of sweet pepper grown with and without plastic film mulching under different water supply and weather conditions," Agricultural Water Management, Elsevier, vol. 188(C), pages 91-100.
    19. Giorgio Baiamonte & Mario Minacapilli & Giuseppina Crescimanno, 2020. "Effects of Biochar on Irrigation Management and Water Use Efficiency for Three Different Crops in a Desert Sandy Soil," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    20. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng & Zhang, Xiaotao, 2018. "Parameterization of the AquaCrop model for full and deficit irrigated maize for seed production in arid Northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 438-450.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:208:y:2018:i:c:p:107-119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.