IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v9y2019i6p126-d240248.html
   My bibliography  Save this article

Intercropping Simulation Using the SWAP Model: Development of a 2×1D Algorithm

Author

Listed:
  • Victor Meriguetti Pinto

    (Soil Physics Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, PO Box 96, Piracicaba SP 13416-970, Brazil)

  • Jos C. van Dam

    (Department of Environmental Sciences, Wageningen University and Research Centre, PO Box 47, 6700 AA Wageningen, The Netherlands)

  • Quirijn de Jong van Lier

    (Soil Physics Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, PO Box 96, Piracicaba SP 13416-970, Brazil)

  • Klaus Reichardt

    (Soil Physics Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, PO Box 96, Piracicaba SP 13416-970, Brazil)

Abstract

Intercropping is a common cultivation system in sustainable agriculture, allowing crop diversity and better soil surface exploitation. Simulation of intercropped plants with integrated soil–plant–atmosphere models is a challenging procedure due to the requirement of a second spatial dimension for calculating the soil water lateral flux. Evaluations of more straightforward approaches for intercrop modeling are, therefore, mandatory. An adaptation of the 1D model Soil, Water, Atmosphere and Plant coupled to the World Food Studies (SWAP/WOFOST) to simulate intercropping (SWAP 2×1D) based on solar radiation and water partitioning between plant strips was developed and the outcomes are presented. An application of SWAP 2×1D to maize–soybean (MS) strip intercropping was evaluated against the monocropping maize (M) and soybean (S) simulated with the 1D model SWAP/WOFOST, and a sensitivity analysis of SWAP 2×1D was carried out for the intercropping MS. SWAP 2×1D was able to simulate the radiation interception by both crops in the intercropping MS and also to determine the effect of the radiation attenuation by maize on soybean plants. Intercropped plants presented higher transpiration and resulted in lower soil evaporation when compared to their equivalent monocropping cultivation. A numerical issue involving model instability caused by the simulated lateral water flux in the soil from one strip to the other was solved. The most sensitive plant parameters were those related to the taller plant strips in the intercropping, and soil retention curve parameters were overall all significantly sensitive for the water balance simulation. This implementation of the SWAP model presents an opportunity to simulate strip intercropping with a limited number of parameters, including the partitioning of radiation by a well-validated radiation sharing model and of soil water by simulating the lateral soil water fluxes between strips in the 2×1D environment.

Suggested Citation

  • Victor Meriguetti Pinto & Jos C. van Dam & Quirijn de Jong van Lier & Klaus Reichardt, 2019. "Intercropping Simulation Using the SWAP Model: Development of a 2×1D Algorithm," Agriculture, MDPI, vol. 9(6), pages 1-19, June.
    • Handle: RePEc:gam:jagris:v:9:y:2019:i:6:p:126-:d:240248
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/9/6/126/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/9/6/126/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baumann, D. T. & Bastiaans, L. & Goudriaan, J. & van Laar, H. H. & Kropff, M. J., 2002. "Analysing crop yield and plant quality in an intercropping system using an eco-physiological model for interplant competition," Agricultural Systems, Elsevier, vol. 73(2), pages 173-203, August.
    2. Heike Knörzer & Simone Graeff-Hönninger & Bettina U. Müller & Hans-Peter Piepho & Wilhelm Claupein, 2010. "A Modeling Approach to Simulate Effects of Intercropping and Interspecific Competition in Arable Crops," International Journal of Information Systems and Social Change (IJISSC), IGI Global, vol. 1(4), pages 44-65, October.
    3. de Jong van Lier, Quirijn, 2017. "Field capacity, a valid upper limit of crop available water?," Agricultural Water Management, Elsevier, vol. 193(C), pages 214-220.
    4. Gao, Yang & Duan, Aiwang & Qiu, Xinqiang & Liu, Zugui & Sun, Jingsheng & Zhang, Junpeng & Wang, Hezhou, 2010. "Distribution of roots and root length density in a maize/soybean strip intercropping system," Agricultural Water Management, Elsevier, vol. 98(1), pages 199-212, December.
    5. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    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. Rares Halbac-Cotoara-Zamfir & Asdrubal Jesus Farias-Ramirez & Jarbas Honorio de Miranda & Maria Alejandra Moreno-Pizani & Sergio Nascimento Duarte & Franklin Javier Paredes-Trejo & Luca Salvati & Cris, 2022. "Simulation of Subsurface Drainage in the Sugarcane Crop under Different Spacing and Drain Depths," Land, MDPI, vol. 11(5), pages 1-20, April.

    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. Pinheiro, Everton Alves Rodrigues & de Jong van Lier, Quirijn & Šimůnek, Jirka, 2019. "The role of soil hydraulic properties in crop water use efficiency: A process-based analysis for some Brazilian scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 364-377.
    2. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    3. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    4. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    5. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    6. Guodong Chen & Yunlong Zhai & Jianguo Zhou & Yanfang Li & Jiao Lin & Sumei Wan & Quanzhong Wu, 2022. "Optimizing Maize Belt Width Enhances Productivity in Wheat/Maize Intercropping Systems," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    7. Lamsal, Abhishes & Welch, S.M. & Jones, J.W. & Boote, K.J. & Asebedo, Antonio & Crain, Jared & Wang, Xu & Boyer, Will & Giri, Anju & Frink, Elizabeth & Xu, Xuan & Gundy, Garrison & Ou, Junjun & Arachc, 2017. "Efficient crop model parameter estimation and site characterization using large breeding trial data sets," Agricultural Systems, Elsevier, vol. 157(C), pages 170-184.
    8. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    9. Haofang Yan & Song Huang & Jianyun Zhang & Chuan Zhang & Guoqing Wang & Lanlan Li & Shuang Zhao & Mi Li & Baoshan Zhao, 2022. "Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    10. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    11. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    12. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
    13. Pengrui Ai & Yingjie Ma, 2020. "Estimation of Evapotranspiration of a Jujube/Cotton Intercropping System in an Arid Area Based on the Dual Crop Coefficient Method," Agriculture, MDPI, vol. 10(3), pages 1-14, March.
    14. Ling Dong & Lijie Li & Yao Meng & Hongliang Liu & Jing Li & Yang Yu & Chunrong Qian & Shi Wei & Wanrong Gu, 2022. "Exogenous Spermidine Optimizes Nitrogen Metabolism and Improves Maize Yield under Drought Stress Conditions," Agriculture, MDPI, vol. 12(8), pages 1-20, August.
    15. Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
    16. Wenwen Wei & Tingting Liu & Lei Shen & Xiuyuan Wang & Shuai Zhang & Wei Zhang, 2022. "Effect of Maize ( Zeal mays ) and Soybean ( Glycine max ) Intercropping on Yield and Root Development in Xinjiang, China," Agriculture, MDPI, vol. 12(7), pages 1-16, July.
    17. Gabriel Ribeiro Castellano & Landerlei Almeida Santos & Amauri Antonio Menegário, 2022. "Carbon Soil Storage and Technologies to Increase Soil Carbon Stocks in the South American Savanna," Sustainability, MDPI, vol. 14(9), pages 1-22, May.
    18. Liu, Zhongyi & Chen, Hang & Huo, Zailin & Wang, Fengxin & Shock, Clinton C., 2016. "Analysis of the contribution of groundwater to evapotranspiration in an arid irrigation district with shallow water table," Agricultural Water Management, Elsevier, vol. 171(C), pages 131-141.
    19. Lena, Bruno Patias & Bondesan, Luca & Pinheiro, Everton Alves Rodrigues & Ortiz, Brenda V. & Morata, Guilherme Trimer & Kumar, Hemendra, 2022. "Determination of irrigation scheduling thresholds based on HYDRUS-1D simulations of field capacity for multilayered agronomic soils in Alabama, USA," Agricultural Water Management, Elsevier, vol. 259(C).
    20. Zheng, Chenghao & Wang, Ruoshui & Zhou, Xuan & Li, Chaonan & Dou, Xiaoyu, 2021. "Effects of mulch and irrigation regimes on water distribution and root competition in an apple–soybean intercropping system in Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 246(C).

    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:gam:jagris:v:9:y:2019:i:6:p:126-:d:240248. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.