article · Discover Sustainability
Agricultural researchers evaluated the future impacts of climate change on sorghum production in the Fedis district of eastern Ethiopia. Using historical weather data, soil records and experimental field data for two sorghum varieties, Melkam and Teshale, two crop simulation models, CERES-sorghum and APSIM-sorghum, were calibrated and validated. Future climate projections from five global circulation models under medium and high emission scenarios were downscaled to model future outputs. Both simulation models accurately captured local crop development and yield. Across both climate scenarios, projected conditions indicate that sorghum grain yields could increase by 20.1 to 44.4 percent by the 2050s and 2080s. Testing different agronomic practices showed that introducing earlier planting dates and increasing planting densities can further enhance sorghum yields under changing climate conditions.
Understanding how major staple crops respond to changing climate conditions helps agricultural planners and farming communities prepare for the future. Demonstrating that sorghum yields could rise in eastern Ethiopia, particularly when paired with specific management adjustments such as altered planting schedules and densities, provides practical guidance to bolster food production and local climate resilience.
This research provides applied modeling evidence that can inform agricultural extension services, seed distributors, and agronomic advisory platforms operating in eastern Ethiopia. The findings identify optimal planting dates and planting densities for specific sorghum varieties, making them relevant for farm advisory services and agricultural planning bodies. Because the study is predictive and model-based, moving to real-world use requires direct translation into local farming guidelines.
AI-generated from the published abstract. Always read the original work before citing.
Abstract This study was conducted in Fedis district, to assess the impacts of climate change on sorghum ( Sorghum bicolor L.) yield. The CERES-sorghum and APSIM-sorghum models were calibrated and validated using field experimental data of anthesis days, days to maturity and grain yield of two sorghum varieties, Melkam and Teshale. Historical climate data was sourced from the National Meteorological Institute of Ethiopia, alongside crop yield, management data and soil samples from the Oromia Agricultural Research Institute site in Fedis. For future climate projections, data of five Global Circulation Models (GCMs) from the Coupled Models Intercomparison Project 6 (CMIP6), under the medium and high climate scenarios (SSP2-4.5 and SSP5-8.5) were downloaded from Copernicus website, and the Empirical Quantile Mapping approach was used for downscaling and bias correction. Different sowing windows and planting densities were evaluated for their effectiveness to enhance sorghum yield under the future climate conditions of Fedis district. The results of models’ calibration and validation showed high agreement between simulated and observed grain yields, with d-stat values > 0.66 for CERES-sorghum and APSIM-sorghum, and the normalized RMSE less than 20%. Statistical indices indicated that DSSAT-CERES and APSIM models accurately simulated sorghum yield in Fedis. The result of impact assessment showed that sorghum grain yield may increase at the range of 20.1 to 44.4% by 2050s and 2080s under both SSPs scenarios. Additionally, the result of adaptation options showed that sorghum yield may be increased through early planting date and increased plants density. In conclusion, future climate projections are expected to increase sorghum yield in Fedis and adaptations strategies including planting date and planting density can be used for better yields.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1007/s43621-026-04481-2
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.