IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v230y2020ics0378377419320633.html
   My bibliography  Save this article

Determining threshold values for root-soil water weighted plant water deficit index based smart irrigation

Author

Listed:
  • Shi, Jianchu
  • Wu, Xun
  • Wang, Xiaoyu
  • Zhang, Mo
  • Han, Le
  • Zhang, Wenjing
  • Liu, Wen
  • Zuo, Qiang
  • Wu, Xiaoguang
  • Zhang, Hongfei
  • Ben-Gal, Alon

Abstract

Plant water deficit index (PWDI) represents the extent of water stress by relating soil moisture to the ability of a plant to take up water including consideration of the relative distribution of soil water to roots. However, for a smart irrigation decision support system, we are challenged in determining reliable thresholds of PWDI to initiate irrigation events to achieve predetermined yield and/or water use efficiency (WUE) targets. Taking drip irrigated maize and sprinkler irrigated alfalfa as examples, field experiments were conducted to investigate the choice and effects of PWDI thresholds. The results indicated that, with increasing PWDI thresholds, irrigation times and quantity of water, as well as crop transpiration, growth, and yield, were all significantly limited while WUE was enhanced except under extremely stressed conditions. To disconnect the unpredictable effects of other factors, yield and WUE were normalized to their corresponding potential values. Within the experimentally determined range of PWDI, relative yield and WUE were described with linear functions for maize, and linear and quadratic functions for alfalfa, allowing identification of the most efficient threshold value according to the objective parameter of choice. The method described can be adopted in smart irrigation decision support systems with consideration of spatial variability and after further verification and improvement under more complicated situations with various crop types and varieties, environmental conditions, cultivation modes, and wider or dynamic PWDI thresholds allowing regulated deficit irrigation.

Suggested Citation

  • Shi, Jianchu & Wu, Xun & Wang, Xiaoyu & Zhang, Mo & Han, Le & Zhang, Wenjing & Liu, Wen & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2020. "Determining threshold values for root-soil water weighted plant water deficit index based smart irrigation," Agricultural Water Management, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:agiwat:v:230:y:2020:i:c:s0378377419320633
    DOI: 10.1016/j.agwat.2019.105979
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419320633
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.105979?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. Wu, Xun & Zhang, Wenjing & Liu, Wen & Zuo, Qiang & Shi, Jianchu & Yan, Xudong & Zhang, Hongfei & Xue, Xuzhang & Wang, Lichun & Zhang, Mo & Ben-Gal, Alon, 2017. "Root-weighted soil water status for plant water deficit index based irrigation scheduling," Agricultural Water Management, Elsevier, vol. 189(C), pages 137-147.
    2. Kang, Shaozhong & Zhang, Lu & Liang, Yinli & Hu, Xiaotao & Cai, Huanjie & Gu, Binjie, 2002. "Effects of limited irrigation on yield and water use efficiency of winter wheat in the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 55(3), pages 203-216, June.
    3. English, Marshall & Raja, Syed Navaid, 1996. "Perspectives on deficit irrigation," Agricultural Water Management, Elsevier, vol. 32(1), pages 1-14, November.
    4. Emekli, Yasar & Bastug, Ruhi & Buyuktas, Dursun & Emekli, Nefise Yasemin, 2007. "Evaluation of a crop water stress index for irrigation scheduling of bermudagrass," Agricultural Water Management, Elsevier, vol. 90(3), pages 205-212, June.
    5. Rodriguez-Ortega, W.M. & Martinez, V. & Rivero, R.M. & Camara-Zapata, J.M. & Mestre, T. & Garcia-Sanchez, F., 2017. "Use of a smart irrigation system to study the effects of irrigation management on the agronomic and physiological responses of tomato plants grown under different temperatures regimes," Agricultural Water Management, Elsevier, vol. 183(C), pages 158-168.
    6. Davis, S.L. & Dukes, M.D., 2010. "Irrigation scheduling performance by evapotranspiration-based controllers," Agricultural Water Management, Elsevier, vol. 98(1), pages 19-28, December.
    7. Wang, Feng-Xin & Kang, Yaohu & Liu, Shi-Ping, 2006. "Effects of drip irrigation frequency on soil wetting pattern and potato growth in North China Plain," Agricultural Water Management, Elsevier, vol. 79(3), pages 248-264, February.
    8. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.
    9. Jalota, S.K. & Singh, Sukhvinder & Chahal, G.B.S. & Ray, S.S. & Panigraghy, S. & Bhupinder-Singh & Singh, K.B., 2010. "Soil texture, climate and management effects on plant growth, grain yield and water use by rainfed maize-wheat cropping system: Field and simulation study," Agricultural Water Management, Elsevier, vol. 97(1), pages 83-90, January.
    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. Shi, Jianchu & Wu, Xun & Zhang, Mo & Wang, Xiaoyu & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2021. "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 248(C).
    2. Meng, Wenjie & Xing, Jinliang & Niu, Mu & Zuo, Qiang & Wu, Xun & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Optimizing fertigation schemes based on root distribution," Agricultural Water Management, Elsevier, vol. 275(C).
    3. Liu, Lining & Zuo, Qiang & Shi, Jianchu & Wu, Xun & Wei, Congmin & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Balancing economic benefits and environmental repercussions based on smart irrigation by regulating root zone water and salinity dynamics," Agricultural Water Management, Elsevier, vol. 285(C).
    4. Lim, Chun Hsion & Lim, Steven & How, Bing Shen & Ng, Wendy Pei Qin & Ngan, Sue Lin & Leong, Wei Dong & Lam, Hon Loong, 2021. "A review of industry 4.0 revolution potential in a sustainable and renewable palm oil industry: HAZOP approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    5. Wang, Tianshu & Xu, Yanqi & Zuo, Qiang & Shi, Jianchu & Wu, Xun & Liu, Lining & Sheng, Jiandong & Jiang, Pingan & Ben-Gal, Alon, 2023. "Evaluating and improving soil water and salinity stress response functions for root water uptake," Agricultural Water Management, Elsevier, vol. 287(C).
    6. Zhang, Ting & Zuo, Qiang & Ma, Ning & Shi, Jianchu & Fan, Yuchuan & Wu, Xun & Wang, Lichun & Xue, Xuzhang & Ben-Gal, Alon, 2023. "Optimizing relative root-zone water depletion thresholds to maximize yield and water productivity of winter wheat using AquaCrop," Agricultural Water Management, Elsevier, vol. 286(C).
    7. Aliasghar Montazar & Daniel Putnam, 2023. "Evapotranspiration and Yield Impact Tools for More Water-Use Efficient Alfalfa Production in Desert Environments," Agriculture, MDPI, vol. 13(11), pages 1-21, November.
    8. Liao, Renkuan & Zhang, Shirui & Zhang, Xin & Wang, Mingfei & Wu, Huarui & Zhangzhong, Lili, 2021. "Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: Proof of concept," Agricultural Water Management, Elsevier, vol. 245(C).
    9. Liu, Lining & Wang, Tianshu & Wang, Lichun & Wu, Xun & Zuo, Qiang & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2022. "Plant water deficit index-based irrigation under conditions of salinity," Agricultural Water Management, Elsevier, vol. 269(C).
    10. Wu, Peng & Liu, Fu & Wang, Junying & Liu, Yihan & Gao, Yuan & Zhang, Xuanqi & Chen, Guangzhou & Huang, Fangyuan & Ahmad, Shakeel & Zhang, Peng & Cai, Tie & Jia, Zhikuan, 2022. "Suitable fertilization depth can improve the water productivity and maize yield by regulating development of the root system," Agricultural Water Management, Elsevier, vol. 271(C).

    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. Shi, Jianchu & Wu, Xun & Zhang, Mo & Wang, Xiaoyu & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2021. "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 248(C).
    2. Liu, Lining & Wang, Tianshu & Wang, Lichun & Wu, Xun & Zuo, Qiang & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2022. "Plant water deficit index-based irrigation under conditions of salinity," Agricultural Water Management, Elsevier, vol. 269(C).
    3. Wu, Xun & Zhang, Wenjing & Liu, Wen & Zuo, Qiang & Shi, Jianchu & Yan, Xudong & Zhang, Hongfei & Xue, Xuzhang & Wang, Lichun & Zhang, Mo & Ben-Gal, Alon, 2017. "Root-weighted soil water status for plant water deficit index based irrigation scheduling," Agricultural Water Management, Elsevier, vol. 189(C), pages 137-147.
    4. Liu, Lining & Zuo, Qiang & Shi, Jianchu & Wu, Xun & Wei, Congmin & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Balancing economic benefits and environmental repercussions based on smart irrigation by regulating root zone water and salinity dynamics," Agricultural Water Management, Elsevier, vol. 285(C).
    5. Sun, Hong-Yong & Liu, Chang-Ming & Zhang, Xi-Ying & Shen, Yan-Jun & Zhang, Yong-Qiang, 2006. "Effects of irrigation on water balance, yield and WUE of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 211-218, September.
    6. Liu, Hao & Li, Huanhuan & Ning, Huifeng & Zhang, Xiaoxian & Li, Shuang & Pang, Jie & Wang, Guangshuai & Sun, Jingsheng, 2019. "Optimizing irrigation frequency and amount to balance yield, fruit quality and water use efficiency of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 226(C).
    7. Abdul Rehman & Luan Jingdong, 2017. "An econometric analysis of major Chinese food crops: An empirical study," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1323372-132, January.
    8. Li, Jiamin & Inanaga, Shinobu & Li, Zhaohu & Eneji, A. Egrinya, 2005. "Optimizing irrigation scheduling for winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 76(1), pages 8-23, July.
    9. Qi, Dongliang & Hu, Tiantian & Liu, Tingting, 2020. "Biomass accumulation and distribution, yield formation and water use efficiency responses of maize (Zea mays L.) to nitrogen supply methods under partial root-zone irrigation," Agricultural Water Management, Elsevier, vol. 230(C).
    10. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    11. Chen, Shichao & Du, Taisheng & Wang, Sufen & Parsons, David & Wu, Di & Guo, Xiuwei & Li, Donghao, 2021. "Quantifying the effects of spatial-temporal variability of soil properties on crop growth in management zones within an irrigated maize field in Northwest China," Agricultural Water Management, Elsevier, vol. 244(C).
    12. Kang, Jian & Hao, Xinmei & Zhou, Huiping & Ding, Risheng, 2021. "An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect," Agricultural Water Management, Elsevier, vol. 255(C).
    13. Sezen, S.M. & Yazar, A. & Kapur, B. & Tekin, S., 2011. "Comparison of drip and sprinkler irrigation strategies on sunflower seed and oil yield and quality under Mediterranean climatic conditions," Agricultural Water Management, Elsevier, vol. 98(7), pages 1153-1161, May.
    14. Lovelli, S. & Perniola, M. & Ferrara, A. & Di Tommaso, T., 2007. "Yield response factor to water (Ky) and water use efficiency of Carthamus tinctorius L. and Solanum melongena L," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 73-80, August.
    15. Çolak, Yeşim Bozkurt & Yazar, Attila & Gönen, Engin & Eroğlu, E. Çağlar, 2018. "Yield and quality response of surface and subsurface drip-irrigated eggplant and comparison of net returns," Agricultural Water Management, Elsevier, vol. 206(C), pages 165-175.
    16. Meena, Raj Pal & Karnam, Venkatesh & R, Sendhil & Rinki, & Sharma, R.K. & Tripathi, S.C. & Singh, Gyanendra Pratap, 2019. "Identification of water use efficient wheat genotypes with high yield for regions of depleting water resources in India," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    17. Wang, Yaosheng & Liu, Fulai & Andersen, Mathias N. & Jensen, Christian R., 2010. "Carbon retention in the soil-plant system under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 98(3), pages 419-424, December.
    18. Zhang, Buchong & Li, Feng-Min & Huang, Gaobao & Cheng, Zi-Yong & Zhang, Yanhong, 2006. "Yield performance of spring wheat improved by regulated deficit irrigation in an arid area," Agricultural Water Management, Elsevier, vol. 79(1), pages 28-42, January.
    19. Lv, Zhaoyan & Diao, Ming & Li, Weihua & Cai, Jian & Zhou, Qin & Wang, Xiao & Dai, Tingbo & Cao, Weixing & Jiang, Dong, 2019. "Impacts of lateral spacing on the spatial variations in water use and grain yield of spring wheat plants within different rows in the drip irrigation system," Agricultural Water Management, Elsevier, vol. 212(C), pages 252-261.
    20. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Gleason, Sean, 2018. "Comparison of three crop water stress index models with sap flow measurements in maize," Agricultural Water Management, Elsevier, vol. 203(C), pages 366-375.

    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:230:y:2020:i:c:s0378377419320633. 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.