Crop yield model validation for Cameroon |
| |
Authors: | Munang Tingem Mike Rivington Gianni Bellocchi Jeremy Colls |
| |
Affiliation: | 1. Agriculture and Environmental Science Division, School of Biosciences, University of Nottingham, NG7 2RD, Nottingham, UK 2. Macaulay Institute, Craigiebuckler, AB15 8QH Aberdeen, Scotland, UK 3. Agrichiana Farming, Via di Sciarti 33/A, 53040, Montepulciano, Italy
|
| |
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: | |
本文献已被 SpringerLink 等数据库收录! |
|