IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v275y2023ics0378377422005522.html
   My bibliography  Save this article

Characterizing root-water-uptake of wheat under elevated CO2 concentration

Author

Listed:
  • Fan, Jinjie
  • Wu, Xun
  • Yu, Yangliu
  • Zuo, Qiang
  • Shi, Jianchu
  • Halpern, Moshe
  • Sheng, Jiandong
  • Jiang, Pingan
  • Ben-Gal, Alon

Abstract

Delineating root-water-uptake (RWU) under conditions with augmented CO2 concentrations is very important for scheduling irrigation to contend with climate change. Responses of plant growth to elevated CO2 concentration (e[CO2]) have been widely reported, while the effects of e[CO2] on RWU has hardly been studied. A hydroponic experiment of wheat (Triticum aestivum L.) with five NO3−-N concentrations (Exp. 1) was conducted to investigate and quantify the effects of e[CO2] on RWU activity. Another experiment growing wheat in soil columns with four combinations of water and N supply levels (Exp. 2) was conducted to validate the results obtained in Exp. 1, establishing a macroscopic RWU model to simulate soil water dynamics under e[CO2]. Although CO2 acclimation was observed in both experiments, plant canopy and root growth were generally stimulated under e[CO2], while transpiration consumption was not synchronously enhanced due to decreased stomatal conductance, indicating an increase in water use efficiency while a decrease in RWU activity. Potential transpiration was found more linearly related to root nitrogen mass (RNM) than root length under various CO2 concentrations, regardless of wheat growth stage, water and N supply level. Consequently, RNM density was used to drive the RWU model. The results from Exp. 1 indicated that the effects of e[CO2] on water uptake coefficient per RNM could be quantified by a recently proposed nonlinear stomatal conductance response model (R2 = 0.84, RMSE = 0.55 cm3 mg−1 d−1). The RWU model reliably simulated the dynamics of soil water transport and wheat transpiration under e[CO2] in Exp. 2 with the RMSE and relative errors mostly less than 0.03 cm3 cm−3 and 10 %, respectively. Practical application of the established RWU model for any other specific conditions is expected to benefit from optimization of parameters following choice of most appropriate stomatal conductance response model.

Suggested Citation

  • Fan, Jinjie & Wu, Xun & Yu, Yangliu & Zuo, Qiang & Shi, Jianchu & Halpern, Moshe & Sheng, Jiandong & Jiang, Pingan & Ben-Gal, Alon, 2023. "Characterizing root-water-uptake of wheat under elevated CO2 concentration," Agricultural Water Management, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:agiwat:v:275:y:2023:i:c:s0378377422005522
    DOI: 10.1016/j.agwat.2022.108005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422005522
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.108005?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. Li, Fusheng & Kang, Shaozhong & Zhang, Jianhua, 2004. "Interactive effects of elevated CO2, nitrogen and drought on leaf area, stomatal conductance, and evapotranspiration of wheat," Agricultural Water Management, Elsevier, vol. 67(3), pages 221-233, July.
    2. Wu, Xun & Zuo, Qiang & Shi, Jianchu & Wang, Lichun & Xue, Xuzhang & Ben-Gal, Alon, 2020. "Introducing water stress hysteresis to the Feddes empirical macroscopic root water uptake model," Agricultural Water Management, Elsevier, vol. 240(C).
    3. Homaee, M. & Dirksen, C. & Feddes, R. A., 2002. "Simulation of root water uptake: I. Non-uniform transient salinity using different macroscopic reduction functions," Agricultural Water Management, Elsevier, vol. 57(2), pages 89-109, October.
    4. Wang, Lichun & Shi, Jianchu & Zuo, Qiang & Zheng, Wenjuan & Zhu, Xiangming, 2012. "Optimizing parameters of salinity stress reduction function using the relationship between root-water-uptake and root nitrogen mass of winter wheat," Agricultural Water Management, Elsevier, vol. 104(C), pages 142-152.
    5. 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).
    6. Homaee, M. & Feddes, R. A. & Dirksen, C., 2002. "Simulation of root water uptake: II. Non-uniform transient water stress using different reduction functions," Agricultural Water Management, Elsevier, vol. 57(2), pages 111-126, October.
    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. 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).
    2. Wu, Xun & Zuo, Qiang & Shi, Jianchu & Wang, Lichun & Xue, Xuzhang & Ben-Gal, Alon, 2020. "Introducing water stress hysteresis to the Feddes empirical macroscopic root water uptake model," Agricultural Water Management, Elsevier, vol. 240(C).
    3. Wang, Lichun & Ning, Songrui & Chen, Xiaoli & Li, Youli & Guo, Wenzhong & Ben-Gal, Alon, 2021. "Modeling tomato root water uptake influenced by soil salinity under drip irrigation with an inverse method," Agricultural Water Management, Elsevier, vol. 255(C).
    4. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    5. Milad Nouri & Mehdi Homaee & Mohammad Bannayan, 2017. "Quantitative Trend, Sensitivity and Contribution Analyses of Reference Evapotranspiration in some Arid Environments under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2207-2224, May.
    6. Wang, Lichun & Shi, Jianchu & Zuo, Qiang & Zheng, Wenjuan & Zhu, Xiangming, 2012. "Optimizing parameters of salinity stress reduction function using the relationship between root-water-uptake and root nitrogen mass of winter wheat," Agricultural Water Management, Elsevier, vol. 104(C), pages 142-152.
    7. Homaee, M. & Feddes, R. A. & Dirksen, C., 2002. "Simulation of root water uptake: III. Non-uniform transient combined salinity and water stress," Agricultural Water Management, Elsevier, vol. 57(2), pages 127-144, October.
    8. 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.
    9. Saadat, Saeed & Homaee, Mehdi, 2015. "Modeling sorghum response to irrigation water salinity at early growth stage," Agricultural Water Management, Elsevier, vol. 152(C), pages 119-124.
    10. Ritzema, H.P., 2016. "Drain for Gain: Managing salinity in irrigated lands—A review," Agricultural Water Management, Elsevier, vol. 176(C), pages 18-28.
    11. Xie, Tao & Liu, Xinhui & Sun, Tao, 2011. "The effects of groundwater table and flood irrigation strategies on soil water and salt dynamics and reed water use in the Yellow River Delta, China," Ecological Modelling, Elsevier, vol. 222(2), pages 241-252.
    12. Jalali, Vahidreza & Asadi Kapourchal, Safoora & Homaee, Mehdi, 2017. "Evaluating performance of macroscopic water uptake models at productive growth stages of durum wheat under saline conditions," Agricultural Water Management, Elsevier, vol. 180(PA), pages 13-21.
    13. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    14. Guoshuai Wang & Bing Xu & Pengcheng Tang & Haibin Shi & Delong Tian & Chen Zhang & Jie Ren & Zekun Li, 2022. "Modeling and Evaluating Soil Salt and Water Transport in a Cultivated Land–Wasteland–Lake System of Hetao, Yellow River Basin’s Upper Reaches," Sustainability, MDPI, vol. 14(21), pages 1-23, November.
    15. Nouri, Milad & Homaee, Mehdi & Bannayan, Mohammad & Hoogenboom, Gerrit, 2016. "Towards modeling soil texture-specific sensitivity of wheat yield and water balance to climatic changes," Agricultural Water Management, Elsevier, vol. 177(C), pages 248-263.
    16. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
    17. Albasha, Rami & Mailhol, Jean-Claude & Cheviron, Bruno, 2015. "Compensatory uptake functions in empirical macroscopic root water uptake models – Experimental and numerical analysis," Agricultural Water Management, Elsevier, vol. 155(C), pages 22-39.
    18. Nayebloie, Fatemeh & Kouchakzadeh, Mahdi & Ebrahimi, Kumars & Homaee, Mahdi & Abbasi, Fariborz, 2022. "Improving fertigation efficiency by numerical modelling in a lettuce subsurface drip irrigation farm," Agricultural Water Management, Elsevier, vol. 270(C).
    19. Minacapilli, M. & Cammalleri, C. & Ciraolo, G. & Rallo, G. & Provenzano, G., 2016. "Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves," Agricultural Water Management, Elsevier, vol. 170(C), pages 49-60.
    20. Rashki, Paria & piri, halimeh & Khamari, Eisa, 2022. "Determining the production function and optimal irrigation depth of Roselle in deficit irrigation conditions and using potassium fertilizer," Agricultural Water Management, Elsevier, vol. 271(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:275:y:2023:i:c:s0378377422005522. 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.