Application of Probit Model to Assess the Adaptability of Agricultural Technologies in Millet Farming Based on Soil Types in Chadakori Commune of Maradi Region, Niger

Millet is a crucial staple crop in Niger, yet its cultivation faces challenges from soil degradation and declining fertility. Effective agricultural technologies are essential for sustainable soil fertility management and improved millet productivity. This study evaluates the adaptability of farm technologies on millet farming across different soil types in Chadakori commune, Maradi region, Niger, using a probit model. Data were collected through semi-structured interviews with 250 farmers via the Kobo Collect application. STATA software was used for analysis. Results reveal that compost technology significantly enhances millet yields on loamy soils at a 1% probability threshold (p < 0.01). However, simple and multifunctional half-moons on sandy soils show negative effects (p < 0.01, and p < 0.05, respectively). These findings highlight the need for specific technological interventions in soil. Adaptive soil management strategies can enhance agricultural resilience and productivity, contributing to sustainable land management practices. This research offers practical recommendations for policymakers and development organizations to tackle soil degradation challenges and support millet farming systems in Niger.