Agrohydrological modeling reveals yield losses in key crops like chickpea and wheat in Ethiopia, suggesting drainage and tolerant crops may mitigate impacts.
Abstract Waterlogging is a major yet understudied constraint to cropland productivity. Here, we apply an agrohydrological modeling framework to assess the climatology of waterlogging (1981–2010), its yield impacts on major grain crops, and the potential for mitigation across Ethiopia’s rainfed agriculture (RFA) region. We estimate that 39\% of the RFA is prone to waterlogging. Chickpea is the most sensitive crop, with average yield losses from 34\% under low-severity to 97\% under extreme-severity conditions, followed by wheat, barley, and faba bean (18–92\% of yield loss). In contrast, maize and sorghum are generally tolerant except under extreme conditions. Our results also show considerable potential to reduce losses through soil drainage and use of tolerant crops. For instance, improved drainage could increase the current wheat yield on average by 57\% under low waterlogging conditions. In flat areas where drainage is infeasible, productivity could be enhanced through using tolerant native crops and the expansion of rice production.
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Wakjira et al. (2025) studied this question.
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