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Evaluating and improving soil water and salinity stress response functions for root water uptake

Author

Listed:
  • Wang, Tianshu
  • Xu, Yanqi
  • Zuo, Qiang
  • Shi, Jianchu
  • Wu, Xun
  • Liu, Lining
  • Sheng, Jiandong
  • Jiang, Pingan
  • Ben-Gal, Alon

Abstract

Many functions have been proposed to describe the response of root water uptake to water and/or salinity stresses. In practice, choosing a reliable stress response function is challenging, particularly when water and salinity stresses occur simultaneously. To explore and quantify the effects of soil water and salinity conditions, separately and combined, on root water uptake, two experiments culturing winter wheat in artificial climate chambers were conducted with various water and salinity levels. As the key index, plant water status was evaluated by: a) considering the relative position of water and salinity to roots; b) rectifying estimation of potential transpiration for stressed plants; c) excluding data during recovery periods dominated by the hysteresis process of historical stress; and d) quantifying the interaction between water and salinity stresses. Including only one fitting parameter and two water or salinity thresholds with clear physical meaning and available recommendations, concave-convex function could quantify the effects of water or salinity stress more accurately than the others, leading to more reliable estimation of relative transpiration rate (RMSE < 0.07, R2 > 0.91, MAE < 0.24). Under combined water-salinity stress conditions, neither an additive nor multiplicative approach was able to describe the interaction accurately. In addition to cumulative effect, by quantifying cross-adaptation effect with an exponential function, the multiplicative concave-convex functions significantly improved the estimation of relative transpiration rate for water- and salinity-stressed plants (RMSE < 0.08, R2 > 0.72, MAE < 0.28). Nevertheless, mechanisms underlying the interaction between water and salinity stresses are still unclear and should be further investigated. To avoid the hysteresis effect of historical stress, excluding data during recovery periods was helpful, but its quantitative characterization is also necessary for accurate simulation of root water uptake and should be further studied.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:287:y:2023:i:c:s0378377423003165
    DOI: 10.1016/j.agwat.2023.108451
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    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. Li, Xudong & Zhao, Yong & Xiao, Weihua & Yang, Mingzhi & Shen, Yanjun & Min, Leilei, 2017. "Soil moisture dynamics and implications for irrigation of farmland with a deep groundwater table," Agricultural Water Management, Elsevier, vol. 192(C), pages 138-148.
    3. Skaggs, Todd H. & van Genuchten, Martinus Th. & Shouse, Peter J. & Poss, James A., 2006. "Macroscopic approaches to root water uptake as a function of water and salinity stress," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 140-149, November.
    4. Shi, Jianchu & Yasuor, Hagai & Yermiyahu, Uri & Zuo, Qiang & Ben-Gal, Alon, 2014. "Dynamic responses of wheat to drought and nitrogen stresses during re-watering cycles," Agricultural Water Management, Elsevier, vol. 146(C), pages 163-172.
    5. 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).
    6. Shalhevet, Joseph, 1994. "Using water of marginal quality for crop production: major issues," Agricultural Water Management, Elsevier, vol. 25(3), pages 233-269, July.
    7. 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.
    8. 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).
    9. 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.
    10. 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).
    11. Rallo, Giovanni & Provenzano, Giuseppe, 2013. "Modelling eco-physiological response of table olive trees (Olea europaea L.) to soil water deficit conditions," Agricultural Water Management, Elsevier, vol. 120(C), pages 79-88.
    12. Chinnasamy, Pennan & Misra, Gourav & Shah, Tushaar & Maheshwari, Basant & Prathapar, Sanmugam, 2015. "Evaluating the effectiveness of water infrastructures for increasing groundwater recharge and agricultural production – A case study of Gujarat, India," Agricultural Water Management, Elsevier, vol. 158(C), pages 179-188.
    13. 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.
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