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Understanding hydrometeorological conditions and their relationship with crop production in the upper east region, Ghana

Author

Listed:
  • Kelly, C.I.
  • Boateng, E.F.
  • Zibrila, A.
  • Andam-Akorful, S.A.
  • Quaye-Ballard, J.A.
  • Laari, P.B.
  • Damoah-Afari, P.

Abstract

This study analyzes long-term patterns in precipitation, (P), evapotranspiration (ET), and meteorological and agricultural drought indices in the Upper East Region (UER) of Ghana from 1981 to 2017. The study further investigates the relationship between these hydrometeorological variables and yields of groundnut, maize, millet, rice, and sorghum from 1993 to 2017. Results indicate statistically non-significant trends in P and ET over the study period, corresponding with fairly consistent crop yields. However, both linear and non-linear relationships between crop yield and hydrometeorological conditions were observed, with extreme soil moisture (SM) and P levels negatively impacting yields, likely due to waterlogging exceeding optimal thresholds for crops, or drought stress. Regression analyses show moderate R-squared values (0.1 to 0.5), suggesting that while hydrometeorological variables are key drivers, other factors, such as farming practices and socio-economic conditions, also influence yield variability. These findings underscore the need for water management strategies to optimize soil moisture and mitigate the impact of both droughts and extreme waterlogging on crop production. The study recommends adopting modern agricultural technologies, such as precision irrigation and drought-resistant crop varieties, to enhance crop yields and ensure sustainable farming in the UER.

Suggested Citation

  • Kelly, C.I. & Boateng, E.F. & Zibrila, A. & Andam-Akorful, S.A. & Quaye-Ballard, J.A. & Laari, P.B. & Damoah-Afari, P., 2025. "Understanding hydrometeorological conditions and their relationship with crop production in the upper east region, Ghana," Agricultural Water Management, Elsevier, vol. 312(C).
  • Handle: RePEc:eee:agiwat:v:312:y:2025:i:c:s0378377425001489
    DOI: 10.1016/j.agwat.2025.109434
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    1. Chloe MacLaren & Andrew Mead & Derk Balen & Lieven Claessens & Ararso Etana & Janjo Haan & Wiepie Haagsma & Ortrud Jäck & Thomas Keller & Johan Labuschagne & Åsa Myrbeck & Magdalena Necpalova & Genero, 2022. "Long-term evidence for ecological intensification as a pathway to sustainable agriculture," Nature Sustainability, Nature, vol. 5(9), pages 770-779, September.
    2. David G Jenkins & Pedro F Quintana-Ascencio, 2020. "A solution to minimum sample size for regressions," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    3. Acquah, H. de-Graft & Onumah, Edward E., 2011. "Farmers Perception and Adaptation to Climate Change: An Estimation of Willingness to Pay," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 3(4), pages 1-9, December.
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