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Modeling tomato root water uptake influenced by soil salinity under drip irrigation with an inverse method

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  • Wang, Lichun
  • Ning, Songrui
  • Chen, Xiaoli
  • Li, Youli
  • Guo, Wenzhong
  • Ben-Gal, Alon

Abstract

The influence of soil salinity on plant root water uptake (RWU) must be considered in order to promote efficient irrigation management. However, due to challenges in parameterization, modeling RWU response to salinity is problematic. We set out to characterize the influence of soil salinity on tomato RWU under conditions of irrigation with high salinity water and to improve methods for optimizing parameters of RWU model. Experiments were conducted in a greenhouse over two seasons (2016 and 2017). Three irrigation water salinity treatments [0.4 (S1), 3.4 (S2) and 6.4 (S3) mg cm−3] were evaluated. The results showed that soil water content and salinity increased with the irrigation water salinity, especially in the top soil layers, and that RWU was reduced by the increased root zone salinity. An inverse method based on a one-dimensional equation of soil water movement was used to estimate the RWU rate distribution under drip irrigation and determined to be reliable. The parameter value of the normalized root length distribution (NRLD) function was fitted through the estimated RWU rate distributions for treatment S1 without the effect of salinity stress. The fitted NRLD function was used to optimize the parameters of the salinity stress reduction factor (β) through the measured soil moisture and salinity of treatments S2 and S3 in 2016. With the optimized parameters of β, the RWU rates of treatments S2 and S3 in 2017 were simulated. The simulated RWU rates based on the RWU model agreed well with the estimated RWU rates using the inverse method, with root mean squared error (RMSE) and normalized root mean squared error (NRMSE) less than 0.00067 cm3 cm−3 d−1 and 12.36%, and index of agreement (IA) higher than 0.94. These findings can be used to estimate the NRLD distribution and determine actual crop water requirements under saline conditions with no root distribution data required. This should contribute to efficient and sustainable irrigation scheduling.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:255:y:2021:i:c:s0378377421002407
    DOI: 10.1016/j.agwat.2021.106975
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    1. 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.
    2. Jorenush, M. H. & Sepaskhah, A. R., 2003. "Modelling capillary rise and soil salinity for shallow saline water table under irrigated and non-irrigated conditions," Agricultural Water Management, Elsevier, vol. 61(2), pages 125-141, June.
    3. Hai-Lin Zhang & Xin Zhao & Xiao-Gang Yin & Sheng-Li Liu & Jian-Fu Xue & Meng Wang & Chao Pu & Rattan Lal & Fu Chen, 2015. "Challenges and adaptations of farming to climate change in the North China Plain," Climatic Change, Springer, vol. 129(1), pages 213-224, March.
    4. Ning, Songrui & Zhou, Beibei & Shi, Jianchu & Wang, Quanjiu, 2021. "Soil water/salt balance and water productivity of typical irrigation schedules for cotton under film mulched drip irrigation in northern Xinjiang," Agricultural Water Management, Elsevier, vol. 245(C).
    5. Er-Raki, S. & Ezzahar, J. & Merlin, O. & Amazirh, A. & Hssaine, B. Ait & Kharrou, M.H. & Khabba, S. & Chehbouni, A., 2021. "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco," Agricultural Water Management, Elsevier, vol. 244(C).
    6. Suárez-Rey, E.M. & Romero-Gámez, M. & Giménez, C. & Thompson, R.B. & Gallardo, M., 2016. "Use of EU-Rotate_N and CropSyst models to predict yield, growth and water and N dynamics of fertigated leafy vegetables in a Mediterranean climate and to determine N fertilizer requirements," Agricultural Systems, Elsevier, vol. 149(C), pages 150-164.
    7. 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.
    8. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    9. Phogat, V. & Mallants, Dirk & Cox, J.W. & Šimůnek, J. & Oliver, D.P. & Pitt, T. & Petrie, P.R., 2020. "Impact of long-term recycled water irrigation on crop yield and soil chemical properties," Agricultural Water Management, Elsevier, vol. 237(C).
    10. Zotarelli, L. & Dukes, M.D. & Scholberg, J.M.S. & Muñoz-Carpena, R. & Icerman, J., 2009. "Tomato nitrogen accumulation and fertilizer use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(8), pages 1247-1258, August.
    11. 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.
    12. Ragab, R. & Malash, N. & Abdel Gawad, G. & Arslan, A. & Ghaibeh, A., 2005. "A holistic generic integrated approach for irrigation, crop and field management: 1. The SALTMED model and its calibration using field data from Egypt and Syria," Agricultural Water Management, Elsevier, vol. 78(1-2), pages 67-88, September.
    13. Chen, Weiping & Hou, Zhenan & Wu, Laosheng & Liang, Yongchao & Wei, Changzhou, 2010. "Evaluating salinity distribution in soil irrigated with saline water in arid regions of northwest China," Agricultural Water Management, Elsevier, vol. 97(12), pages 2001-2008, November.
    14. Peters, Andre & Durner, Wolfgang & Iden, Sascha C., 2017. "Modified Feddes type stress reduction function for modeling root water uptake: Accounting for limited aeration and low water potential," Agricultural Water Management, Elsevier, vol. 185(C), pages 126-136.
    15. Zotarelli, Lincoln & Scholberg, Johannes M. & Dukes, Michael D. & Muñoz-Carpena, Rafael & Icerman, Jason, 2009. "Tomato yield, biomass accumulation, root distribution and irrigation water use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(1), pages 23-34, January.
    16. Kang, Yaohu & Wang, Ruoshui & Wan, Shuqin & Hu, Wei & Jiang, Shufang & Liu, Shiping, 2012. "Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China," Agricultural Water Management, Elsevier, vol. 109(C), pages 117-126.
    17. Reca, J. & Trillo, C. & Sánchez, J.A. & Martínez, J. & Valera, D., 2018. "Optimization model for on-farm irrigation management of Mediterranean greenhouse crops using desalinated and saline water from different sources," Agricultural Systems, Elsevier, vol. 166(C), pages 173-183.
    18. Qiu, Rangjian & Song, Jinjuan & Du, Taisheng & Kang, Shaozhong & Tong, Ling & Chen, Renqiang & Wu, Laosheng, 2013. "Response of evapotranspiration and yield to planting density of solar greenhouse grown tomato in northwest China," Agricultural Water Management, Elsevier, vol. 130(C), pages 44-51.
    19. 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.
    20. Ragab, R. & Malash, N. & Gawad, G. Abdel & Arslan, A. & Ghaibeh, A., 2005. "A holistic generic integrated approach for irrigation, crop and field management: 2. The SALTMED model validation using field data of five growing seasons from Egypt and Syria," Agricultural Water Management, Elsevier, vol. 78(1-2), pages 89-107, September.
    21. 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.
    22. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
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    3. Lorenzo De Carlo & Mohammad Farzamian, 2024. "Assessing the Impact of Brackish Water on Soil Salinization with Time-Lapse Inversion of Electromagnetic Induction Data," Land, MDPI, vol. 13(7), pages 1-16, June.

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