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Evaluation of a regional crop model implementation for sub-national yield assessments in Kenya

Author

Listed:
  • Ellenburg, W. Lee
  • Miller, Sara E.
  • Mishra, Vikalp
  • Ndungu, Lilian
  • Adams, Emily
  • Das, Narendra
  • Andreadis, Konstantinos M.
  • Limaye, Ashutosh

Abstract

Cropping system models can be used to both assess regional food security and to monitor and predict agricultural drought. Agriculture in Kenya is extremely important to both the economy and food security of the country.

Suggested Citation

  • Ellenburg, W. Lee & Miller, Sara E. & Mishra, Vikalp & Ndungu, Lilian & Adams, Emily & Das, Narendra & Andreadis, Konstantinos M. & Limaye, Ashutosh, 2024. "Evaluation of a regional crop model implementation for sub-national yield assessments in Kenya," Agricultural Systems, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:agisys:v:214:y:2024:i:c:s0308521x2300224x
    DOI: 10.1016/j.agsy.2023.103819
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    References listed on IDEAS

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    1. Konstantinos M Andreadis & Narendra Das & Dimitrios Stampoulis & Amor Ines & Joshua B Fisher & Stephanie Granger & Jessie Kawata & Eunjin Han & Ali Behrangi, 2017. "The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-22, May.
    2. Siad, Si Mokrane & Iacobellis, Vito & Zdruli, Pandi & Gioia, Andrea & Stavi, Ilan & Hoogenboom, Gerrit, 2019. "A review of coupled hydrologic and crop growth models," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    3. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & He, Hai & He, Jian & Yin, Hao & Zhang, Yaxin, 2021. "Coupled hydrology-crop growth model incorporating an improved evapotranspiration module," Agricultural Water Management, Elsevier, vol. 246(C).
    4. Choruma, Dennis Junior & Balkovic, Juraj & Pietsch, Stephan Alexander & Odume, Oghenekaro Nelson, 2021. "Using EPIC to simulate the effects of different irrigation and fertilizer levels on maize yield in the Eastern Cape, South Africa," Agricultural Water Management, Elsevier, vol. 254(C).
    5. Christian Folberth & Rastislav Skalský & Elena Moltchanova & Juraj Balkovič & Ligia B. Azevedo & Michael Obersteiner & Marijn van der Velde, 2016. "Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations," Nature Communications, Nature, vol. 7(1), pages 1-13, September.
    6. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    7. I. Tsakmakis & N. Kokkos & V. Pisinaras & V. Papaevangelou & E. Hatzigiannakis & G. Arampatzis & G.D. Gikas & R. Linker & S. Zoras & V. Evagelopoulos & V.A. Tsihrintzis & A. Battilani & G. Sylaios, 2017. "Operational Precise Irrigation for Cotton Cultivation through the Coupling of Meteorological and Crop Growth Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 563-580, January.
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