Blog entries filtered by: Crops
May 28-June 1, 2012 (Dar es Salaam, Tanzania): As part of a multidisciplinary and multinational collaboration, a team of researchers representing several research institutions met to discuss the growing aflatoxin problem in sub-Saharan Africa.
To improve our collective capacity to model and measure the economic costs of pests, weeds and diseases of the major food crops of the world, CSIRO and HarvestChoice-UMN are delivering a series of ecological modeling workshops.
Picture it. You're working at HarvestChoice processing incoming crop statistics and you come across some figures for harvested area of dolichos in Kenya.
A group of researchers from the University of Nebraska and Wageningen University are setting out to determine just that through the production of an atlas.
Jason Beddow of HarvestChoice and the University of Minnesota, along with Darren Kriticos of CSIRO, explain how HarvestChoice is revolutionizing the science of tracking -- and predicting -- the paths of devastating crop pests and diseases such as UG99.
Australia’s Commonwealth Scientific and Industrial Research Organisation (CSIRO) and HarvestChoice are now working together to apply innovative, “bio-economic” approaches to improve the food security of poor people in sub-Saharan Africa and South Asia. Together, our organizations will merge biological, environmental and economic tools to track global food pests and better target strategic investments to improve global food security.
SPAM2000 (any version) is based on a large set of data which centers as much as possible on the year 2000: land cover / land use (Boston University’s MODIS-derived land cover 2000 and JRC’s GLC2000), crop suitability (Global AEZ Zones 2000 by FAO and IIASA), irrigated areas (FAO and CESR of University of Kassel), population density (CIESIN), and, most importantly, national and sub-national crops statistics for 2000.
Just wrapped up three days in Nairobi with our colleagues at the Regional Strategic Analysis and Knowledge Support System (ReSAKSS), pulling together agricultural production and research experts from around East and Central Africa to share our tools and learn how we can make our data products work better for them.
With limited resources to cope with weather variability, smallholder farmers in Sub-Saharan Africa (SSA) are facing highly unreliable crop production from year to year. In this modeling exercise we quantified how much area is under such condition and what are their production potential under intensification. The simulation result indicates that, without further intensification, only 15% of current maize growing area has the potential to reliably produce more than 3 t/ha, a yield level suggested as being sufficient to sustain the cereal needs of a typical smallholder household. However, with well-managed intensification, 82% of the current maize area showed the potential to reliably produce 3 t/ha or more.
We're not normally focused on this part of the world, but something like the Japanese tsunami tends to divert your attention.