Evaluating Aflatoxin Contamination Control Practices Among Smallholder Maize Farmers in Kilifi County, Kenya: a Poisson Regression Analysis
Date
2023-03Author
Nzuma, Jonathan M
Uzel, Isaac M
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
Aflatoxin contamination remains a major global food safety challenge, with serious impli-
cations on agriculture and public health. Kenya has frequently experienced outbreaks of
acute and chronic aflatoxin poisoning over the years with adverse human health effects.
Farmers respond to incidences of aflatoxin contamination using a myriad of control prac-
tices. This study evaluates the choice of aflatoxin contamination control practices among
smallholder maize farmers in Kilifi County, an aflatoxin hotspot in the Coast region of
Kenya. A Poisson regression model was employed on a sample of 270 farmers selected
using a multistage sampling technique. The aflatoxin contamination control practices used
by maize farmers in Kilifi County can broadly be categorized into pre-harvest practices
(timely planting, pest control, use of improved seed varieties, and early harvesting) and
postharvest practices (sorting, proper drying, and use of storage pesticides). The Poisson
regression estimates reveal that aflatoxin awareness, access to extension services, wealth
status, and gender were the most important drivers of farmers choice of aflatoxin con-
tamination control practices in Kilifi County. Thus, policy initiatives that improve farmers
awareness and access to information are recommended in improving maize farmers afla-
toxin contamination knowledge and uptake of management practices. To be effective, such
interventions must address gender and wealth differences.
URI
file:///C:/Users/User_Seminar%20Rm1A/Downloads/Nzuma%20&%20Uzel%202023%20-%20Poisson%20-%20EDS.pdfhttp://erepository.uonbi.ac.ke/handle/11295/163580
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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