IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v305y2024ics0378377424004402.html
   My bibliography  Save this article

Optimizing wheat supplementary irrigation: Integrating soil stress and crop water stress index for smart scheduling

Author

Listed:
  • Kumari, Arti
  • Singh, D.K.
  • Sarangi, A.
  • Hasan, Murtaza
  • Sehgal, Vinay Kumar

Abstract

A two-year field experiment was conducted to integrate soil moisture stress with the Crop Water Stress Index (CWSI) for optimizing irrigation in winter wheat (Triticum aestivum L.) under varying irrigation regimes. The study took place at the Water Technology Centre (WTC-02) of ICAR-IARI, New Delhi, where the climate shows a blend of monsoon-influenced humid subtropical and semi-arid conditions. Using a randomized block design (RBD), five irrigation treatments were applied: full irrigation and deficit irrigation (DI) at 15 %, 30 %, 45 %, and 60 % levels. Canopy and ambient air temperature data, along with vapor pressure deficit (VPD), were recorded using a developed integrated sensing device to empirically determine the lower baseline equations and upper threshold for CWSI computation at pre-heading and post-heading stages. The slope (m), intercept (c) of the lower baseline equation, and upper threshold (UL) for pre-heading and post-heading were found: m: −1.94, c: −1.33, UL: 1.92°C and m: −1.30, c: −2.37, UL: 2.0°C, respectively. Results showed that increasing water deficit levels led to significant reductions in grain yield, biomass production, and harvest index. A strong negative correlation (R² = 0.95 and 0.93) between mean seasonal CWSI and yield attributes highlighted the utility of CWSI in yield prediction under varying irrigation regimes. It is recommended to schedule irrigation based on the CWSI approach when CWSI ≥0.35 for optimum wheat yields. Integrating CWSI with soil moisture stress provides valuable real-time insights into crop water status, enabling more precise and smart irrigation scheduling.

Suggested Citation

  • Kumari, Arti & Singh, D.K. & Sarangi, A. & Hasan, Murtaza & Sehgal, Vinay Kumar, 2024. "Optimizing wheat supplementary irrigation: Integrating soil stress and crop water stress index for smart scheduling," Agricultural Water Management, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:agiwat:v:305:y:2024:i:c:s0378377424004402
    DOI: 10.1016/j.agwat.2024.109104
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424004402
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2024.109104?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. Alderfasi, Ali Abdullah & Nielsen, David C., 2001. "Use of crop water stress index for monitoring water status and scheduling irrigation in wheat," Agricultural Water Management, Elsevier, vol. 47(1), pages 69-75, February.
    2. Samiha Ouda & Tahany Noreldin & Juan José Alarcón & Ragab Ragab & Gianluca Caruso & Agnieszka Sekara & Magdi T. Abdelhamid, 2021. "Response of Spring Wheat ( Triticum aestivum ) to Deficit Irrigation Management under the Semi-Arid Environment of Egypt: Field and Modeling Study," Agriculture, MDPI, vol. 11(2), pages 1-13, January.
    3. Jalota, S.K. & Sood, Anil & Chahal, G.B.S. & Choudhury, B.U., 2006. "Crop water productivity of cotton (Gossypium hirsutum L.)-wheat (Triticum aestivum L.) system as influenced by deficit irrigation, soil texture and precipitation," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 137-146, July.
    4. Li, Quanqi & Dong, Baodi & Qiao, Yunzhou & Liu, Mengyu & Zhang, Jiwang, 2010. "Root growth, available soil water, and water-use efficiency of winter wheat under different irrigation regimes applied at different growth stages in North China," Agricultural Water Management, Elsevier, vol. 97(10), pages 1676-1682, October.
    5. Gontia, N.K. & Tiwari, K.N., 2008. "Development of crop water stress index of wheat crop for scheduling irrigation using infrared thermometry," Agricultural Water Management, Elsevier, vol. 95(10), pages 1144-1152, October.
    6. Anzhen Qin & Dongfeng Ning & Zhandong Liu & Sen Li & Ben Zhao & Aiwang Duan, 2021. "Determining Threshold Values for a Crop Water Stress Index-Based Center Pivot Irrigation with Optimum Grain Yield," Agriculture, MDPI, vol. 11(10), pages 1-16, October.
    7. Yang, Hui & Du, Taisheng & Qiu, Rangjian & Chen, Jinliang & Wang, Feng & Li, Yang & Wang, Chenxia & Gao, Lihong & Kang, Shaozhong, 2017. "Improved water use efficiency and fruit quality of greenhouse crops under regulated deficit irrigation in northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 193-204.
    8. O’Shaughnessy, Susan A. & Evett, Steven R. & Colaizzi, Paul D., 2015. "Dynamic prescription maps for site-specific variable rate irrigation of cotton," Agricultural Water Management, Elsevier, vol. 159(C), pages 123-138.
    9. Adu, Michael O. & Yawson, David O. & Armah, Frederick A. & Asare, Paul A. & Frimpong, Kwame A., 2018. "Meta-analysis of crop yields of full, deficit, and partial root-zone drying irrigation," Agricultural Water Management, Elsevier, vol. 197(C), pages 79-90.
    10. Wang, Feng & Xiao, Junfu & Ming, Bo & Xie, Ruizhi & Wang, Keru & Hou, Peng & Liu, Guangzhou & Zhang, Guoqiang & Chen, Jianglu & Liu, Wanmao & Yang, Yunshan & Qin, Anzhen & Li, Shaokun, 2021. "Grain yields and evapotranspiration dynamics of drip-irrigated maize under high plant density across arid to semi-humid climates," Agricultural Water Management, Elsevier, vol. 247(C).
    11. Katimbo, Abia & Rudnick, Daran R. & DeJonge, Kendall C. & Lo, Tsz Him & Qiao, Xin & Franz, Trenton E. & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Crop water stress index computation approaches and their sensitivity to soil water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    12. King, B.A. & Tarkalson, D.D. & Sharma, V. & Bjorneberg, D.L., 2021. "Thermal Crop Water Stress Index Base Line Temperatures for Sugarbeet in Arid Western U.S," Agricultural Water Management, Elsevier, vol. 243(C).
    13. Yuan, Guofu & Luo, Yi & Sun, Xiaomin & Tang, Dengyin, 2004. "Evaluation of a crop water stress index for detecting water stress in winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 64(1), pages 29-40, January.
    14. DeJonge, Kendall C. & Taghvaeian, Saleh & Trout, Thomas J. & Comas, Louise H., 2015. "Comparison of canopy temperature-based water stress indices for maize," Agricultural Water Management, Elsevier, vol. 156(C), pages 51-62.
    15. Panda, R. K. & Behera, S. K. & Kashyap, P. S., 2003. "Effective management of irrigation water for wheat under stressed conditions," Agricultural Water Management, Elsevier, vol. 63(1), pages 37-56, November.
    16. Erdem, Yesim & Arin, Levent & Erdem, Tolga & Polat, Serdar & Deveci, Murat & Okursoy, Hakan & Gültas, Hüseyin T., 2010. "Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)," Agricultural Water Management, Elsevier, vol. 98(1), pages 148-156, December.
    17. Khorsand, Afshin & Rezaverdinejad, Vahid & Asgarzadeh, Hossein & Majnooni-Heris, Abolfazl & Rahimi, Amir & Besharat, Sina, 2019. "Irrigation scheduling of maize based on plant and soil indices with surface drip irrigation subjected to different irrigation regimes," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    18. Sezen, S. Metin & Yazar, Attila & Daşgan, Yıldız & Yucel, Seral & Akyıldız, Asiye & Tekin, Servet & Akhoundnejad, Yelderem, 2014. "Evaluation of crop water stress index (CWSI) for red pepper with drip and furrow irrigation under varying irrigation regimes," Agricultural Water Management, Elsevier, vol. 143(C), pages 59-70.
    19. Das, Susanta & Kaur, Samanpreet & Sharma, Vivek, 2024. "Determination of threshold crop water stress index for sub-surface drip irrigated maize-wheat cropping sequence in semi-arid region of Punjab," Agricultural Water Management, Elsevier, vol. 301(C).
    Full references (including those not matched with items on IDEAS)

    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. Das, Susanta & Kaur, Samanpreet & Sharma, Vivek, 2024. "Determination of threshold crop water stress index for sub-surface drip irrigated maize-wheat cropping sequence in semi-arid region of Punjab," Agricultural Water Management, Elsevier, vol. 301(C).
    2. Katimbo, Abia & Rudnick, Daran R. & DeJonge, Kendall C. & Lo, Tsz Him & Qiao, Xin & Franz, Trenton E. & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Crop water stress index computation approaches and their sensitivity to soil water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Nakabuye, Hope Njuki & Rudnick, Daran & DeJonge, Kendall C. & Lo, Tsz Him & Heeren, Derek & Qiao, Xin & Franz, Trenton E. & Katimbo, Abia & Duan, Jiaming, 2022. "Real-time irrigation scheduling of maize using Degrees Above Non-Stressed (DANS) index in semi-arid environment," Agricultural Water Management, Elsevier, vol. 274(C).
    4. 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.
    5. Anzhen Qin & Dongfeng Ning & Zhandong Liu & Sen Li & Ben Zhao & Aiwang Duan, 2021. "Determining Threshold Values for a Crop Water Stress Index-Based Center Pivot Irrigation with Optimum Grain Yield," Agriculture, MDPI, vol. 11(10), pages 1-16, October.
    6. Zhang, Liyuan & Zhang, Huihui & Zhu, Qingzhen & Niu, Yaxiao, 2023. "Further investigating the performance of crop water stress index for maize from baseline fluctuation, effects of environmental factors, and variation of critical value," Agricultural Water Management, Elsevier, vol. 285(C).
    7. Erdem, Yesim & Arin, Levent & Erdem, Tolga & Polat, Serdar & Deveci, Murat & Okursoy, Hakan & Gültas, Hüseyin T., 2010. "Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)," Agricultural Water Management, Elsevier, vol. 98(1), pages 148-156, December.
    8. Al-Kayssi, A.W. & Shihab, R.M. & Mustafa, S.H., 2011. "Impact of soil water stress on Nigellone oil content of black cumin seeds grown in calcareous-gypsifereous soils," Agricultural Water Management, Elsevier, vol. 100(1), pages 46-57.
    9. Katimbo, Abia & Rudnick, Daran R. & Liang, Wei-zhen & DeJonge, Kendall C. & Lo, Tsz Him & Franz, Trenton E. & Ge, Yufeng & Qiao, Xin & Kabenge, Isa & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Two source energy balance maize evapotranspiration estimates using close-canopy mobile infrared sensors and upscaling methods under variable water stress conditions," Agricultural Water Management, Elsevier, vol. 274(C).
    10. Ved Parkash & Sukhbir Singh, 2020. "A Review on Potential Plant-Based Water Stress Indicators for Vegetable Crops," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
    11. Wu, Yinshan & Jiang, Jie & Zhang, Xiufeng & Zhang, Jiayi & Cao, Qiang & Tian, Yongchao & Zhu, Yan & Cao, Weixing & Liu, Xiaojun, 2023. "Combining machine learning algorithm and multi-temporal temperature indices to estimate the water status of rice," Agricultural Water Management, Elsevier, vol. 289(C).
    12. Zhang, Xiaoyu & Zhang, Xiying & Liu, Xiuwei & Shao, Liwei & Sun, Hongyong & Chen, Suying, 2015. "Incorporating root distribution factor to evaluate soil water status for winter wheat," Agricultural Water Management, Elsevier, vol. 153(C), pages 32-41.
    13. Khorsand, Afshin & Rezaverdinejad, Vahid & Asgarzadeh, Hossein & Majnooni-Heris, Abolfazl & Rahimi, Amir & Besharat, Sina, 2019. "Irrigation scheduling of maize based on plant and soil indices with surface drip irrigation subjected to different irrigation regimes," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    14. 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.
    15. Vantyghem, Mathilde & Merckx, Roel & Stevens, Bert & Hood-Nowotny, Rebecca & Swennen, Rony & Dercon, Gerd, 2022. "The potential of stable carbon isotope ratios and leaf temperature as proxies for drought stress in banana under field conditions," Agricultural Water Management, Elsevier, vol. 260(C).
    16. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Zhang, Shaohui & Wang, Yanli & Li, Yuepeng & Sun, Xin & Yang, Ling & Zhang, Fucang, 2021. "Water productivity and seed cotton yield in response to deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 255(C).
    17. Fang, Q.X. & Ma, L. & Green, T.R. & Yu, Q. & Wang, T.D. & Ahuja, L.R., 2010. "Water resources and water use efficiency in the North China Plain: Current status and agronomic management options," Agricultural Water Management, Elsevier, vol. 97(8), pages 1102-1116, August.
    18. Kumar, Navsal & Adeloye, Adebayo J. & Shankar, Vijay & Rustum, Rabee, 2020. "Neural computing modelling of the crop water stress index," Agricultural Water Management, Elsevier, vol. 239(C).
    19. Zhang, Liyuan & Zhang, Huihui & Han, Wenting & Niu, Yaxiao & Chávez, José L. & Ma, Weitong, 2022. "Effects of image spatial resolution and statistical scale on water stress estimation performance of MGDEXG: A new crop water stress indicator derived from RGB images," Agricultural Water Management, Elsevier, vol. 264(C).
    20. Zhang, Minne & Zhao, Weixia & Zhu, Changxin & Li, Jiusheng, 2024. "Influence of the sampling time interval of canopy temperature on the dynamic zoning of variable rate irrigation," Agricultural Water Management, Elsevier, vol. 295(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:eee:agiwat:v:305:y:2024:i:c:s0378377424004402. 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.