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Communication incl. Poster: BibTeX citation key:  BellaMedjo
Bella-Medjo, M., Sultan, B. & Janicot, S. 2009. The role of rainfall parameters in the cotton yield in the north of Cameroon. Work presented at Third International AMMA Conference, July 20—24, at Ouagadougou, Burkina Faso.
Added by: roussot 2009-10-19 22:12:36
 B  
Categories: Society-Environment-Climate interactions
Keywords: Agriculture, Vegetation
Creators: Bella-Medjo, Janicot, Sultan
Publisher: African Monsoon Multidisciplinary Analyses (Ouagadougou, Burkina Faso)
Collection: Third International AMMA Conference

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Abstract
Cotton is the main tradable crop of West and Central African countries, representing for some countries the main export agricultural product. In Cameroon, the cotton is one of the main products of export and it represents more than 50 % of income for the farmers of the cotton zone. The cotton is exclusively a rain fed crop. From the in situ data of the Cameroon cotton company, the SODECOTON, we have pointed out the role of the rainfall parameters in the variability of cotton yields at different times and space scales.
First, we have stidied the spatial links between the rainfall parameters and the cotton yield. The most salient parameters are the onset date, the rainy season length and June rainfall. Stations with a late onset have generally low June rainfall and a shorter season and tend to have lower yields. We have also studied the links between rainfall and cotton yield at the interannual time scale (1993-2003). As for the spatial analysis, the most salient parameters for the cotton yield are the onset date, the season length and June rainfall. By computing correlations at various scales, we have demonstrated that the aggregation of yield and rainfall data from the local scale to the national scale tends to improve the correlations between rainfall parameters and the cotton yield. The spatial aggregation of the data allows to reduce noise (human management, pests...) and to highlight the impact of rainfall.
Given the role of June rainfall in the spatiotemporal variability of cotton yield, we have analyzed the predictability of June rainfall in the cotton zone of Cameroon. This analysis has been done by using the seasonal forecasts produced by a set of coupled general circulation model simulations from 1960 to 2005 belonging to the European project ENSEMBLES (stream 2). The objective of this approach is to evaluate the reliability of the information resulting from these simulations for the cotton yields forecast.
Added by: roussot