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Wheat Crop Modelling for Higher Production

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Abstract

Due to quick growth of population, climate change and diminished natural resources, food security and nutrition issues face major challenges. Crop models successfully proved crop yield simulation under diverse environments, biotic constraints, gene factors and climate change impacts and adaptation. But, the accuracy of crop models for yield estimates needs to be improved with other limitation factors affecting yield growth and production to ensure global food security. These factors include short-term severe stresses (i.e. cold and heat), pest and diseases, soil dynamic changes due to climate changes, soil nutrient balance, grain quality (i.e. protein, iron and zinc) as well as the potential integration between genotype and phenotype in crop models. Here, we outlined the potential and limitation of wheat crop models to assist breeders, researchers, agronomists and decision-makers to address the current and future challenges linked with global food security.

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Authors and Affiliations

  1. Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou, China

    Ahmed Mohammed Saad Kheir & Zheli Ding

  2. Agricultural Research Center, Soils, Water and Environment Research Institute, Giza, Egypt

    Ahmed Mohammed Saad Kheir, Marwa Gamal Mohamed Ali & Aly Ismail Nagib Abdelaal

  3. Institute for Strategies and Technology Assessment, Julius Kühn-Institut (JKI), Federal Research Centre for Cultivated Plants, Kleinmachnow, Germany

    Til Feike

  4. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

    Abdelrazek Elnashar

  5. Department of Natural Resources, Faculty of African Postgraduate Studies, Cairo University, Giza, Egypt

    Abdelrazek Elnashar

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  1. Ahmed Mohammed Saad Kheir
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  3. Marwa Gamal Mohamed Ali
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  4. Til Feike
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  5. Aly Ismail Nagib Abdelaal
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  6. Abdelrazek Elnashar
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  1. Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, Umeå, Sweden, Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan

    Mukhtar Ahmed

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Kheir, A.M.S., Ding, Z., Ali, M.G.M., Feike, T., Abdelaal, A.I.N., Elnashar, A. (2020). Wheat Crop Modelling for Higher Production. In: Ahmed, M. (eds) Systems Modeling. Springer, Singapore. https://doi.org/10.1007/978-981-15-4728-7_6

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