MULTIVARIATE EFFECTS OF CLIMATE VARIABILITY ON MAIZE YIELD AND IMPLICATIONS FOR FOOD SECURITY IN EJULE, KOGI STATE, NIGERIA

Authors

  • Iwu Elias Odinaka Department of Geography and Meteorology, Faculty of Environmental Sciences, Enugu State University of Science and Technology (ESUT), Enugu
  • Prof. J.C. Ajadike Department of Geography and Meteorology, Faculty of Environmental Sciences, Enugu State University of Science and Technology (ESUT), Enugu
  • Prof. S. Okonkwo Ogbu Department of Geography and Meteorology, Faculty of Environmental Sciences, Enugu State University of Science and Technology (ESUT), Enugu

DOI:

https://doi.org/10.5281/zenodo.17294907

Keywords:

Climate variability, Multivariate regression, Maize yield, Thermal stress, Food security, Guinea Savanna, Ejule

Abstract

This study investigates the multivariate effects of climate variability on maize (Zea mays L.) yield and their implications for food security in Ejule, Ofu Local Government Area, Kogi State, Nigeria, over a thirty-one-year period (1992–2023). Climatic data including rainfall, temperature, soil temperature, solar radiation, relative humidity, and wind speed were obtained from the Nigerian Meteorological Agency (NIMET), Lokoja station, while maize yield data were sourced from the Kogi State Agricultural Development Project (KADP) and cross-validated with the Federal Ministry of Agriculture and Rural Development (FMARD). Descriptive statistics, trend analysis, and multivariate regression were applied to examine long-term climatic trends, yield responses, and their interactions. Results revealed strong inter-annual rainfall variability without a clear long-term trend, alongside a significant warming trend in temperature (+0.3–0.4°C per decade) mirrored by rising soil temperatures. Maize yields exhibited three distinct phases: stagnation in the 1990s and early 2000s (≈1.3–1.5 t ha⁻¹), moderate growth in the 2010s (≈1.8–2.0 t ha⁻¹), and stabilization after 2019 around 2.13–2.17 t ha⁻¹ following a peak of 2.49 t ha⁻¹ in 2019. The regression model was highly robust (R² = 0.959, F = 24.1, p < 0.001), with rainfall exerting a modest positive effect (β = +0.192, p < 0.05), while temperature (β = –0.355, p < 0.01) and soil temperature (β = –0.312, p < 0.05) had significant negative effects. Solar radiation, relative humidity, and wind speed were not statistically significant predictors. The study concludes that maize production in Ejule is more constrained by thermal stress than by rainfall deficits alone, highlighting a growing risk of climate-induced yield stagnation. To safeguard food security, adaptation measures must include the adoption of heat- and drought-tolerant maize varieties, soil moisture conservation practices, small-scale irrigation, and strengthened climate information services. Policy interventions such as input subsidies, credit facilities, and enhanced extension services are also essential to build the resilience of smallholder farmers in the Guinea Savanna zone.

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Published

2025-10-08

How to Cite

Iwu , E. O., Ajadike , J. C., & Ogbu, S. O. (2025). MULTIVARIATE EFFECTS OF CLIMATE VARIABILITY ON MAIZE YIELD AND IMPLICATIONS FOR FOOD SECURITY IN EJULE, KOGI STATE, NIGERIA. Irish International Journal of Engineering and Scientific Studies, 8(5), 38–59. https://doi.org/10.5281/zenodo.17294907

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