Innovative agricultural extension for women : a case study in Cameroon

Agricultural extension has not been particularly kind to Africa's women farmers. On a continent where women produce 90 percent of the food and 60 percent of total agricultural output, insensitivity and neglect by extension services is the norm. Numerous case studies have pointed out the"gender gap"that exists in the provision of extension services to women farmers. Compared to male farmers or farming couples, women farmers receive far less attention from extension services, thus benefiting less from improved farming techniques. However, in Cameroon's North West province, over the last five years, the Mission de Developpement de la Province du Nord-Ouest (MIDENO), has been implementing a project to improve agricultural production in the province. In terms of agricultural extension, the project has hired almost 200 new extension agents, one-fourth of whom are women. The overall representation of women in the extension service is now 18.3 percent, among the highest in developing countries. The paper is organized into three Chapters : Chapter I deals with the agricultural and policy setting in which MIDENO was designed; Chapter II is devoted to the MIDENO case study; Chapter III attempts to generalize from the MIDENO case and determines the extent to which the MIDENO's experience and success can be sustained and replicated.Health Monitoring&Evaluation,Agriculture&Farming Systems,Agricultural Knowledge&Information Systems,Crops&Crop Management Systems,Agricultural Research

Pathogen-based precision medicine for drug-resistant tuberculosis

The implementation of next generation sequencing techniques, such as whole genome sequencing (WGS), in tuberculosis (TB) research has enabled timely, cost-effective, and comprehensive insights into the genetic repertoire of the human pathogens of the Mycobacterium tuberculosis complex (MTBC). WGS data allow for detailed epidemiological analysis based on genomic distance of the MTBC strains under investigation, e.g. for tracing outbreaks; it can accelerate diagnostics by predicting drug resistance from a mutation catalogue (figure 1). Indeed, specific mutations even permit predictions on the possible clinical treatment course and outcome