Variabilité des descripteurs pluviométriques intrasaisonniers à impact agricole dans le bassin cotonnier de Côte d'Ivoire : cas des zones de Boundiali, Korhogo et Ouangolodougou

Charles Sékpa Dekoula, Brou Kouame, Kouadio Emmanuel N'Goran, Jean-Noël Ehounou, Guy Fernand Yao, Koffi Emmanuel Kassin, Julien Brou Kouakou, Angelo Evariste Badou N'Guessan, Nagnin Soro
2019 Journal of Applied Biosciences  
Dekoula et al., J. Appl. Biosci. 2018 Variabilité des descripteurs pluviométriques intrasaisonniers à impact agricole dans le bassin cotonnier de Côte d'Ivoire : zones de Boundiali, Korhogo et Ouangolo ABSTRACT Objective: This study aims to characterize the evolution of agricultural impact intra-seasonal descriptors during the growing season in cotton production area of Côte d'Ivoire. For this purpose, Methodology and results: ten intraseasonal descriptors likely to influence agriculture were
more » ... agriculture were determined from rainfall data covering the periods 1951-2000 and 2011-2016 from the Airport, Aeronautical and Meteorological Development and Operations Company and the National Agronomic Research Center. Trend (Mann-Kendall) and stationarity (Pettitt) tests and an inter-period comparison were applied to the identified variables. Analysis of seasonal rainfall accumulations, number of rainy days and average daily rainfall amounts showed a significant downward trend over the period 1951-2000. The cessation and length of the rainy season showed a significant trend towards early onset and shortening respectively. Other intraseasonal descriptors do not varied significantly. In contrast, statistically significant breaks were observed between 1968 and 1979. The period comparison indicated a deterioration in conditions during the dry period . The comparison of the periods indicates a deterioration of the climatic conditions during the dry period . These degradations have increased in the current period (2011)(2012)(2013)(2014)(2015)(2016). Conclusion and application: New climatic conditions observed in the cotton production area translated by a variability of intraseasonal descriptors are making agricultural planning increasingly difficult. It is therefore necessary to update the crop calendars in the cotton production area.
doi:10.4314/jab.v130i1.7 fatcat:evxei7cyubf33cnbqjwgt3knzq