Show simple item record

dc.contributor.authorWamalwa, Mark
dc.contributor.authorStomeo, Francesca
dc.contributor.authorHarvey, Jagger
dc.contributor.authorMiano, Douglas
dc.contributor.authorBoonham, Neil
dc.contributor.authorKilalo, Dora
dc.contributor.authorDjikeng, Appolinaire
dc.date.accessioned2014-02-26T08:01:04Z
dc.date.available2014-02-26T08:01:04Z
dc.date.issued2014-01-13
dc.identifier.citationStomeo, F. (2014, January). Pathogen Diversity in African Small Farming Systems for the Assessment of Food Security and the Improvement of African Agricultural Productivity. In Plant and Animal Genome XXII Conference. Plant and Animal Genome.en_US
dc.identifier.urihttps://pag.confex.com/pag/xxii/webprogram/Paper11568.html
dc.identifier.urihttp://hdl.handle.net/11295/64980
dc.description.abstractAfrican smallholder farmers play a pivotal role in meeting the future food demand in view of the global population growth. Small farms (usually smaller than two hectares,) dominate African agricultural systems. The 'maize mixed' farming system, including maize and a selection of different crops, is among the most common small farming systems in Sub-Saharan Africa (SSA). Whilst mixed cropping systems offer resilience to crop loss, they also support greater pathogen (and vector) diversity, leading to emergence and spread of new diseases. Identification of emerging diseases and associated risks is paramount for improving African food security, especially in the face of climate change and given that crop diseases are one of the major constraints to crop production in SSA. This project makes use of Illumina MiSeq technologies to assess the pathogen diversity in three 'maize mixed' farming systems in Kenya, representing different agro ecological zones, with special emphasis on host-vector interactions. Preliminary RNA sequencing results on different crops indicate the presence of rich viral diversity. Moreover, Maize Chlorotic mottle virus (MCMV) and Sugarcane mosaic virus (SMV) (the combination of which causes Maize lethal necrosis, MLN, a disease triggering severe losses in Kenya), have been detected. Virome comparison, geographical distribution, epidemic establishment and factors influencing the spread (in space and time) of pathogens between geographical regions will be analyzed. Methods for pathogen detection and characterization will be established in the region and information given to governmental policy makers aimed at strengthening control and response strategiesen_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.titlePathogen Diversity in African Small Farming Systems for the Assessment of Food Security and the Improvement of African Agricultural Productivityen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record