[PhD’s Corner] Lucien Imorou: Territorial approach to pest management to reduce the use of insecticides in cotton growing in Benin

Lucien Imorou is one of the #DigitAg labelled PhDs

Territorial approach to pest management to reduce the use of insecticides in cotton growing in Benin

  • Start Date: 02 Octobre 2020
  • University: L’Institut Agro Montpellier
  • PhD School: GAIA – Biodiversité, Agriculture, Alimentation, Environnement, Terre, Eau
  • Field(s): Agronomy
  • Doctoral Thesis Advisor: Thierry BREVAULT
  • Co-supervisors : Armand PARAISO, BALARABE Oumarou, BONNI Gustave
  • Funding: TAZCO Project/CIRAD
  • #DigitAg: Axis 6: Modeling and simulation (Agricultural production systems), Challenge 1 : Agroecological challenge

Keywords: Agroecology, Modelization, Pests, Cotton

Abstract: Benin, like many West African countries, has an economy mainly based on agriculture. In this sector represents the main export crop of the country. However, this culture encounters enormous difficulties which mean that cotton farmers are not remunerated for the efforts made. Among these difficulties is parasitism. To resolve this situation, a chemical control program has been developed and popularized. Thi was the source of various environmental (water pollution) and social (food poisoning) problems and the appearance of generations of resistant insects. This thesis aims to develop to develop, with the actors of the territories concerned, multi-scale strategies of agroecological management of cotton pests, by the development of space and agricultural practices. First, we propose to characterize the composition and structure of the landscapes around forty selected plots of cotton. Land cover mapping will include crops (especially those that can provide habitat for pests or their natural enemies) and uncultivated areas. This characterization will be done by digitizing satellite images coupled with monitoring in the field. The approach of Bonni et al. (2018) and Sané et al. (2018) will be mobilized to follow pest populations and to assess their pressure on a terroir. A spatially explicit multi-agent model will be built using the Netlogo platform to simulate pest populations in interaction with cropping practices and land use. Finally, a post-ante evaluation will be carried out on a regional scale of agroecological practices on the pressure and behavior of the main pests in order to identify the most effective in control.


Social Network: ResearchGate