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Effect of heat stress during anthesis on the Summer Maize grain formation: Using integrated modelling and multi-criteria GIS-based method

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  • Kamkar, Behnam
  • Feyzbakhsh, Mohammad Taghi
  • Mokhtarpour, Hassan
  • Barbir, Jelena
  • Grahić, Jasmin
  • Tabor, Sylwester
  • Azadi, Hossein

Abstract

Dealing with high temperatures during the anthesis stage is an important factor that can affect summer maize. Here, the possibility of heat stress injury (HSI) in the summer maize-grown fields of Golestan province was investigated. A multi-criteria weighted overlay procedure was used to determine the suitability of arable land for maize cultivation. Using the CERES-Maize model and long-term meteorological data, the map of the days with Tmax > 35 °C from three days before to seven days after anthesis was provided. The results showed that the irrigated corn fields in the study area have suitable degrees for corn cultivation and different conditions in the field of HSI experience around pollination. Although most of the fields were located in highly suitable areas, probable HSI (as described by PDT35) affected the final suitability. Also, more reliable sowing dates were introduced. The results revealed that on 18th of June, maize could be sown at all suitable areas except in some arable lands of Kalaleh where the PDT35 was more than 40%. The results showed that HSI should also be considered around the pollination stage to obtain reliable results from land suitability.

Suggested Citation

  • Kamkar, Behnam & Feyzbakhsh, Mohammad Taghi & Mokhtarpour, Hassan & Barbir, Jelena & Grahić, Jasmin & Tabor, Sylwester & Azadi, Hossein, 2023. "Effect of heat stress during anthesis on the Summer Maize grain formation: Using integrated modelling and multi-criteria GIS-based method," Ecological Modelling, Elsevier, vol. 481(C).
    • Handle: RePEc:eee:ecomod:v:481:y:2023:i:c:s0304380023000467
    DOI: 10.1016/j.ecolmodel.2023.110318
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    References listed on IDEAS

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    1. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
    2. Yun, Kyungdahm & Hsiao, Jennifer & Jung, Myung-Pyo & Choi, In-Tae & Glenn, D. Michael & Shim, Kyo-Moon & Kim, Soo-Hyung, 2017. "Can a multi-model ensemble improve phenology predictions for climate change studies?," Ecological Modelling, Elsevier, vol. 362(C), pages 54-64.
    3. Chakraborty, Biman & Bhowmick, Amiya Ranjan & Chattopadhyay, Joydev & Bhattacharya, Sabyasachi, 2017. "Physiological responses of fish under environmental stress and extension of growth (curve) models," Ecological Modelling, Elsevier, vol. 363(C), pages 172-186.
    4. Dordel, Julia & Seely, Brad & Simard, Suzanne W., 2011. "Relationships between simulated water stress and mortality and growth rates in underplanted Toona ciliata Roem. in subtropical Argentinean plantations," Ecological Modelling, Elsevier, vol. 222(17), pages 3226-3235.
    5. Luo, Qunying & Bange, Michael & Clancy, Loretta, 2014. "Cotton crop phenology in a new temperature regime," Ecological Modelling, Elsevier, vol. 285(C), pages 22-29.
    6. Li, Zhuoting & Yang, J.Y. & Drury, C.F. & Yang, X.M. & Reynolds, W.D. & Li, Xiaogang & Hu, Chunsheng, 2017. "Evaluation of the DNDC model for simulating soil temperature, moisture and respiration from monoculture and rotational corn, soybean and winter wheat in Canada," Ecological Modelling, Elsevier, vol. 360(C), pages 230-243.
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