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Analyzing the Effects of Planting Date on the Uncertainty of CERES-Maize and Its Potential to Reduce Yield Gap in Arid and Mediterranean Climates

Author

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  • Mahboobe Ghobadi

    (Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran)

  • Mahdi Gheysari

    (Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran)

  • Mohammad Shayannejad

    (Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran)

  • Hamze Dokoohaki

    (Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran)

Abstract

Decision support system tools such as crop models and considering the uncertainties associated with them are important for making an informed decision to fill the yield gap in farms and increase food security. This study’s objective was to identify and quantify the degree to which crop management practices, as well as climate and soil, affected the uncertainty of total biomass, evapotranspiration, and water productivity of silage maize by using a crop model and spatiotemporal input data. Using a calibrated crop model (DSSAT) and pSIMS platform, three planting dates by considering ten ensemble weather data and three soil profile data were simulated for the time period between 2002 and 2017 with a 2 km × 2 km resolution across maize production areas with arid and Mediterranean climates in Isfahan province, Iran. Additionally, the findings were used to determine the yield gap in the studied area to identify opportunities to boost food production. Our results showed larger uncertainty in Mediterranean climates than in arid climates, and it was more affected by planting date than weather parameters and soil profile. The accuracy of total biomass prediction by using pSIMS-CERES-Maize based on the spatiotemporal input data was 1.9% compared to field experimental data in the dry climate, and the yield gap based on the comparison of modified-pSIMS-CERES-Maize and reported biomass was 6.8 to 13 tons ha −1 in the arid and Mediterranean climate. Generally, all results represented the importance of using crop models and considering spatiotemporal data to increase reliability and accuracy, especially in Mediterranean climates, and their potential to increase food production in developing countries with limited water resources and poor agriculture management.

Suggested Citation

  • Mahboobe Ghobadi & Mahdi Gheysari & Mohammad Shayannejad & Hamze Dokoohaki, 2023. "Analyzing the Effects of Planting Date on the Uncertainty of CERES-Maize and Its Potential to Reduce Yield Gap in Arid and Mediterranean Climates," Agriculture, MDPI, vol. 13(8), pages 1-17, July.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1514-:d:1205014
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    References listed on IDEAS

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    1. Wu, Renye & Lawes, Roger & Oliver, Yvette & Fletcher, Andrew & Chen, Chao, 2019. "How well do we need to estimate plant-available water capacity to simulate water-limited yield potential?," Agricultural Water Management, Elsevier, vol. 212(C), pages 441-447.
    2. Xiao, Chao & Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Li, Yi & Sun, Shikun & Pulatov, Alim, 2021. "Optimizing irrigation amount and fertilization rate of drip-fertigated spring maize in northwest China based on multi-level fuzzy comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 257(C).
    3. Gurdeep Singh Malhi & Manpreet Kaur & Prashant Kaushik, 2021. "Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    4. Gheysari, Mahdi & Pirnajmedin, Fatemeh & Movahedrad, Hamid & Majidi, Mohammad Mahdi & Zareian, Mohammad Javad, 2021. "Crop yield and irrigation water productivity of silage maize under two water stress strategies in semi-arid environment: Two different pot and field experiments," Agricultural Water Management, Elsevier, vol. 255(C).
    5. Mohamadzade, Fahime & Gheysari, Mahdi & Eshghizadeh, Hamidreza & Tabatabaei, Mahsa Sadat & Hoogenboom, Gerrit, 2022. "The effect of water and nitrogen on drip tape irrigated silage maize grown under arid conditions: Experimental and simulations," Agricultural Water Management, Elsevier, vol. 271(C).
    6. de Wit, Allard & Boogaard, Hendrik & Fumagalli, Davide & Janssen, Sander & Knapen, Rob & van Kraalingen, Daniel & Supit, Iwan & van der Wijngaart, Raymond & van Diepen, Kees, 2019. "25 years of the WOFOST cropping systems model," Agricultural Systems, Elsevier, vol. 168(C), pages 154-167.
    7. Abdelaziz Nilahyane & M. Anowarul Islam & Abdel O. Mesbah & Axel Garcia y Garcia, 2018. "Evaluation of Silage Corn Yield Gap: An Approach for Sustainable Production in the Semi-Arid Region of USA," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    8. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    9. K.J. Boote & J.W. Jones & G. Hoogenboom & J.W. White, 2010. "The Role of Crop Systems Simulation in Agriculture and Environment," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 1(1), pages 41-54, January.
    10. Malik, Wafa & Isla, Ramon & Dechmi, Farida, 2019. "DSSAT-CERES-maize modelling to improve irrigation and nitrogen management practices under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 213(C), pages 298-308.
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