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Wheat Crop Modelling for Higher Production

Affiliation
Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou Experimental Station, China ; Agricultural Research Center, Soils, Water and Environment Research Institute, Egypt
Kheir, Ahmed Mohammed Saad;
Affiliation
Chinese Academy of Tropical Agricultural Sciences (CATAS), Haikou Experimental Station, China
Ding, Zheli;
Affiliation
Agricultural Research Center, Soils, Water and Environment Research Institute, Egypt
Ali, Marwa Gamal Mohamed;
GND
143656902
Affiliation
Julius Kühn-Institute (JKI), Institute for Strategies and Technology Assessment, Germany
Feike, Til;
Affiliation
Agricultural Research Center, Soils, Water and Environment Research Institute, Egypt
Abdelaal, Aly Ismail Nagib;
Affiliation
Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, China ; Faculty of African Postgraduate Studies, Department of Natural Resources, Egypt
Elnashar, Abdelrazek Fereg

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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