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Evaluating performance of macroscopic water uptake models at productive growth stages of durum wheat under saline conditions

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  • Jalali, Vahidreza
  • Asadi Kapourchal, Safoora
  • Homaee, Mehdi

Abstract

Water management in agricultural lands largely depends on quantity and quality of available soil and water resources. In arid and semi arid regions, scarcity of fresh water and soil salinity are two main important limiting factors for crop production. Under such limiting conditions, one practical alternative for crop production is the use of unconventional or brackish water. If used, the quantitative response of plants to salinity must be carefully analyzed by means of modeling. On the other hand, plant response to salinity varies under different growth stages. Durum wheat (Triticum turgidum L.) is an important crop cultivated in some arid and semi-arid areas across the world such as Middle East and North Africa. This study was aimed to quantitatively characterize the Durum wheat response to salinity under different productive growth stages. Consequently, a large experiment in natural saline sandy loam soil (Typic Toriorthent) with five natural saline water treatments including 2, 4, 6, 8 and 10 dS/m each with three replicates was conducted. Furthermore, four predictive linear and nonlinear models of Maas and Hoffman, van Genuchten and Hoffman, Dirksen et al. and Homaee et al. were evaluated to predict relative transpiration and relative yield of durum wheat under heading and ripening growth stages. Three statistics including modified coefficient efficiency (E'), modified index of agreement (d') and coefficient of residual mass (CRM) were used to compare the used models and to assess their performances. Results indicated that among the examined models, the macroscopic model of Homaee et al. can provide more reasonable predictions at heading stage, while the piece-wise linear model of Maas and Hoffman provided slightly better prediction at ripening growth stage. The obtained threshold value and slope of reduction yield were quite different from those previously reported in the literature. These findings reveal that the widely cited tables describing the relationship between relative yield and electrical conductivity of saturated extract, averaged over the root zone as well as the entire growing season, are quite approximate and carry significant uncertainty. More experimental studies are still needed to obtain reliable data under different growth stages.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:180:y:2017:i:pa:p:13-21
    DOI: 10.1016/j.agwat.2016.10.015
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    1. Pedrero, F. & Maestre-Valero, J.F. & Mounzer, O. & Nortes, P.A. & Alcobendas, R. & Romero-Trigueros, C. & Bayona, J.M. & Alarcón, J.J. & Nicolás, E., 2015. "Response of young ‘Star Ruby’ grapefruit trees to regulated deficit irrigation with saline reclaimed water," Agricultural Water Management, Elsevier, vol. 158(C), pages 51-60.
    2. 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.
    3. Josephson, Anna Leigh & Ricker-Gilbert, Jacob & Florax, Raymond J.G.M., 2014. "How does population density influence agricultural intensification and productivity? Evidence from Ethiopia," Food Policy, Elsevier, vol. 48(C), pages 142-152.
    4. 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.
    5. Ricker-Gilbert, Jacob & Jumbe, Charles & Chamberlin, Jordan, 2014. "How does population density influence agricultural intensification and productivity? Evidence from Malawi," Food Policy, Elsevier, vol. 48(C), pages 114-128.
    6. Yang, Y.N. & Sheng, Q. & Zhang, L. & Kang, H.Q. & Liu, Y., 2015. "Desalination of saline farmland drainage water through wetland plants," Agricultural Water Management, Elsevier, vol. 156(C), pages 19-29.
    7. 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.
    8. Safa, M. & Samarasinghe, S., 2011. "Determination and modelling of energy consumption in wheat production using neural networks: “A case study in Canterbury province, New Zealand”," Energy, Elsevier, vol. 36(8), pages 5140-5147.
    9. 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.
    10. Katerji, N. & van Hoorn, J.W. & Fares, C. & Hamdy, A. & Mastrorilli, M. & Oweis, T., 2005. "Salinity effect on grain quality of two durum wheat varieties differing in salt tolerance," Agricultural Water Management, Elsevier, vol. 75(2), pages 85-91, July.
    11. Chamekh, Zoubeir & Karmous, Chahine & Ayadi, Sawsen & Sahli, Ali & Hammami, Zied & Belhaj Fraj, Makram & Benaissa, Nadhira & Trifa, Youssef & Slim-Amara, Hajer, 2015. "Stability analysis of yield component traits in 25 durum wheat (Triticum durum Desf.) genotypes under contrasting irrigation water salinity," Agricultural Water Management, Elsevier, vol. 152(C), pages 1-6.
    12. 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.
    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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    2. 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).
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    5. Li, Jingang & He, Pingru & Chen, Jing & Hamad, Amar Ali Adam & Dai, Xiaoping & Jin, Qiu & Ding, Siyu, 2023. "Tomato performance and changes in soil chemistry in response to salinity and Na/Ca ratio of irrigation water," Agricultural Water Management, Elsevier, vol. 285(C).

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