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Quantitative research on drought loss sensitivity of summer maize based on AquaCrop model

Author

Listed:
  • Li Fawen

    (Tianjin University)

  • Zhang Manjing

    (Tianjin University)

  • Liu Yaoze

    (University at Albany, State University of New York)

Abstract

In this study, the growth periods of summer maize were divided into seedling, booting and flowering-grain stage. Based on the simulation results of AquaCrop model, the drought loss sensitivity of summer maize in different growth periods was analyzed. The sensitivity curves fitting using the soil moisture content of the effective root zone and the fixed soil layer both indicated that the booting stage was the most sensitive to water stress, which was the critical period for irrigation, followed by the seedling stage. Compared with the curve parameters fitted by the soil water content of the effective root zone, the maximum Biomass Loss Rate fitted by the fixed soil layer water content was higher and the Drought Hazard Index corresponding to the disaster-causing point and the turning point in the seedling stage moved backward. Accordingly, the best irrigation opportunity may be missed and resulting in a large reduction in production if an irrigation scheme is formulated at the seedling stage based on the sensitivity curve of summer maize fitted by the water content of a fixed soil layer. This study also adapted the Jensen model to calculate the normalized moisture sensitivity coefficient and studied the response of final crop yield to water deficit in different growth periods. The results showed that the normalized moisture sensitivity coefficients at the seedling stage, booting stage, and flowering-grain stage were 0.251, 0.524, and 0.224, respectively, which verified the rationality and feasibility of using the cumulative loss of biomass to measure the final yield loss.

Suggested Citation

  • Li Fawen & Zhang Manjing & Liu Yaoze, 2022. "Quantitative research on drought loss sensitivity of summer maize based on AquaCrop model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1065-1084, June.
    • Handle: RePEc:spr:nathaz:v:112:y:2022:i:2:d:10.1007_s11069-022-05218-w
    DOI: 10.1007/s11069-022-05218-w
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    References listed on IDEAS

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    1. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    2. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.
    3. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.
    4. Mkhabela, Manasah S. & Bullock, Paul R., 2012. "Performance of the FAO AquaCrop model for wheat grain yield and soil moisture simulation in Western Canada," Agricultural Water Management, Elsevier, vol. 110(C), pages 16-24.
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    Cited by:

    1. Umesh, Barikara & Reddy, K.S. & Polisgowdar, B.S. & Maruthi, V. & Satishkumar, U. & Ayyanagoudar, M.S. & Rao, Sathyanarayan & Veeresh, H., 2022. "Assessment of climate change impact on maize (Zea mays L.) through aquacrop model in semi-arid alfisol of southern Telangana," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Beatrice Monteleone & Iolanda Borzí & Brunella Bonaccorso & Mario Martina, 2023. "Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 2761-2796, April.
    3. Monteleone, Beatrice & Borzí, Iolanda & Arosio, Marcello & Cesarini, Luigi & Bonaccorso, Brunella & Martina, Mario, 2023. "Modelling the response of wheat yield to stage-specific water stress in the Po Plain," Agricultural Water Management, Elsevier, vol. 287(C).

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