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Theoretical and Applied Climatology

, Volume 96, Issue 3–4, pp 275–280 | Cite as

Crop yield model validation for Cameroon

  • Munang TingemEmail author
  • Mike Rivington
  • Gianni Bellocchi
  • Jeremy Colls
Original Paper

Abstract

A crop simulation model must first be capable of representing the actual performance of crops grown in any region before it can be applied to the prediction of climate variability and change impacts. A cropping systems model (CropSyst) simulations of crop productivity in the sub-Saharan Central African (using Cameroon as the case study) region, under the current climate were compared with observed yields of maize, sorghum, groundnut, bambara groundnut and soybean from eight sites. The model produced both over-and-under estimates, but with a mean percentage difference of only –2.8%, ranging from –0.6% to –4.5%. Based on these results, we judged the CropSyst simulations sufficiently reliable to justify use of the model in assessing crop growth vulnerability to climatic changes in Cameroon and else where.

Keywords

Sorghum Thermal Time Crop Model Equatorial Zone Bambara Groundnut 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We acknowledge the help and assistance provided by Claudio O. Stöckle and Roger L. Nelson (Biological Systems Engineering Department, Pullman WA, USA) in using CropSyst.

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Munang Tingem
    • 1
    Email author
  • Mike Rivington
    • 2
  • Gianni Bellocchi
    • 3
  • Jeremy Colls
    • 1
  1. 1.Agriculture and Environmental Science Division, School of BiosciencesUniversity of NottinghamNottinghamUK
  2. 2.Macaulay Institute, CraigiebucklerScotlandUK
  3. 3.Agrichiana FarmingMontepulcianoItaly

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