Spatial distribution and pest pressure on key crops in Nyeri county, Kenya using agro-ecological zone -based sampling

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Research Paper 05/02/2026
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Spatial distribution and pest pressure on key crops in Nyeri county, Kenya using agro-ecological zone -based sampling

M. Muriithi*, J. W. Wakagwa, P. G. Maina, D. Gatahi, A. Njeri , Maina Mwangi
Int. J. Agron. & Agric. Res. 28(2), 1-11, February 2026.
Copyright Statement: Copyright 2026; The Author(s).
License: CC BY-NC 4.0

Abstract

This study examined the spatial distribution and ecological dynamics of insect pest pressure on major crops in Nyeri County, Kenya, using an agro-ecological zone (AEZ)–based framework. Research was conducted across six sub-counties—Mathira East, Mukurweini, Kieni East, Othaya, Tetu, and Nyeri Town—representing three AEZs: Upper Highland (UH2), Lower Highland (LH3), and Upper Midland (UM3. The objective was to generate spatially explicit insights into pest diversity, crop vulnerability, and farmer management practices to support targeted pest control interventions. A cross-sectional survey of 128 farms was carried out during the March–September 2025 cropping season using stratified random sampling. Data were collected through structured questionnaires, field observations, and GPS mapping to assess pest incidence, crop health, pest diversity, and farmer knowledge. Pest pressure was quantified by species richness and frequency per farm, while crop health was scored on a standardized 1–5 index. Statistical analyses included one-way ANOVA with Tukey’s HSD, multiple linear regression, and Pearson correlation. Ecological diversity was assessed using Shannon (H′), Simpson (D), and Pielou’s evenness (J′) indices, while crop vulnerability rankings incorporated pest counts, health indices, and variability measures. Results identified UH2 as a pest hotspot, exhibiting the highest pest diversity and lowest crop health. Pest abundance showed a strong negative relationship with crop health (p < 0.001), with Mathira East recording significantly higher pest pressure than other sub-counties. Cabbage, kales, and maize were the most susceptible crops, whereas tea, banana, and apple were relatively resilient. Although 83% of farmers relied on synthetic pesticides, limited dosage knowledge reduced effectiveness. Integrated Pest Management, though less widely adopted, was rated most effective (mean = 4.3). These findings underscore the need for AEZ-specific, education-driven pest management strategies to enhance sustainable crop production in Nyeri County

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