Farm factors influencing soil fertility management patterns in Upper Eastern Kenya

Abstract

Farmer adoption of soil technologies has been commonly explored in the literature using binary models, which significantly simplifies the multi-dimensional nature of soil technology adoption. Therefore, it is necessary to fill this gap to improve technology adoption models to enhance small-scale farmers' soil fertility management practices. We investigated patterns of multiple soil technology adoption using multivariate analysis and regression modeling in Central Kenya. We used a cross-sectional survey design to sample 300 small-scale farmers in Tharaka-Nithi County and employed a multi-stage sampling design. We found that soil nutrient applications and soil fertility management patterns were linked to crop enterprises, driven by socioeconomic farm characteristics. Our findings showed that farmers applied higher N inputs and soil fertility management technologies on crops with high economic and staple use-values. Farmers in high potential agro-ecozones and those with higher incomes and TLU (Tropical Livestock Units) intensity applied higher fertilizer N intensities than farmers in low-potential zones, with lower incomes and lesser TLU intensities. Farm size was inversely related to nitrogen application intensity, while farmers had a lower propensity to restore fields undergoing degradation. We obtained five significant sets of soil fertility management technologies that farmers practiced due to the complementary nature of their benefits. We found that farmer perceptions of soil fertility, income distribution, site, education qualifications, credit access, labor availability, and access to extension services influenced their technology adoption patterns. We recommend that farmer sensitization about the fertility of their soils is needed to enhance soil fertility management strategies in small-scale farming systems.