Sammanfattning
This research reports a mapping of aflatoxin risk in the milk value
chain in Kenya using a geographic information systems (GIS) approach.
The objective was to spatially locate regions at risk by taking into
account biophysical and socio-economic factors such as humidity and
rainfall, dairy cattle density, maize production and travel time to
urban centres. This was combined with historical data of aflatoxin
outbreaks obtained from literature search and geo-referenced. Median
values for the datasets were then used to define the thresholds.
Criteria-based mapping using Boolean overlays without weighting was
implemented in the ArcGIS v10.3 platform. Areas of convergence were
overlaid with regions of historical outbreaks to come up with likely
locations of aflatoxin risk and target sample surveys to these areas.
Higher resolution maize production and consumption data would be
desirable to ensure more accurate results. The process followed in this
project ensures an evidence-based and replicable methodology that can be
used in other regions and with different crops. Feed and milk samples
collected in the different categories identified support that this
approach can be used to guide sampling and regional studies. The
research also discusses the strengths and limitations of the approach.
Publicerad i
African Journal of Food, Agriculture, Nutrition and Development
2016, volym: 16, nummer: 3, sidor: 11066 - 11085
SLU författare
UKÄ forskningsämne
Annan veterinärmedicin
Publikationens identifierare
- DOI: https://doi.org/10.18697/ajfand.75.ILRI08
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/91176