Abstract
Maize lethal necrosis (MLN) disease significantly challenges maize production and food security in Kenya. Effective management relies on farmers’ ability to identify the disease, their knowledge of it, and access to information. However, data on these factors is scarce. This study surveyed 398 maize farmers across five agroecological zones (AEZs): Moist mid-Altitude (MMA), Dry Mid Altitudes (DTA), Moist Transitional (MT), Highland Tropics (HTs), and Dry Transitional (DT), using a stratified two-stage cluster sampling design. Data were gathered through structured questionnaires in computer-assisted telephone interviews (CATIs) with the SurveyCTO tool, analyzed via multivariable logistic regression in STATA software. Findings showed that 44% of farmers had heard of MLN and 41% were aware of it, with significant variations across AEZs. Awareness of MLN-tolerant varieties was at 20%, and knowledge was highest in the Moist Transitional Zone (47%). Chlorotic mottle and leaf necrosis were the most recognized symptoms (90%), while shortened internodes were least recognized (14%). Of the surveyed farmers, 60% monitored MLN, with the most common management strategy being uprooting infected plants, followed by burying them (27%) or using them as livestock feed (21%). Key factors affecting MLN awareness included education, group membership, access to MLN information, and extension services. The results were validated with machine learning using Lasso logit regression. This study highlights the need to disseminate MLN information to improve monitoring and awareness for effective management. It is recommended to utilize existing platforms for sharing MLN-related information with farmers.
Presenters
Joseph KimaniStudent, Masters in Agricultural and Applied Economics, University of Nairobi, Kenya
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Food Production and Sustainability
KEYWORDS
Agroecological, Extension, Logistic, Machine, Maize
