Climate variability and extreme events are major threats of food production that exacerbates the existing food security challenges in developing countries where agriculture is climate sensitive while adaptive capacity is low to remain productive under undoubtedly changing climate. On the other hand, the dynamically increasing human population increase the demands for more food than ever in the past while the worst climate change scenarios indicate as it would get even harder in fifty to hundred years in the future. Understanding the climate, crop and cropping system have significant importance in effective management of climate risks and designing suitable adaptation strategies for sustainable food production. Therefore, the main objecive of the study was to evaluate and identify climate change adaptation practices for sorghum production over Kobo, Melkassa and Miesso as representative growing agroecologies of Ethiopia. The study was conducted using DSSAT-CSM approach depending on EMI’s historical climate data and climate change data from Global Climate Models (GCMs) for mid (2040-2069) and end-term (2070-2099) periods using delta method downscaling while soil profile data was used from secondary sources. Three planting windows (16th June to 30th June, 1st July to 15th July and 16th July to 30th July) were used to evaluate planting date response of ESH-1, ESH-2 and Melkam Sorghum varieties to be tested in early, normal (intermidate) and late planting, respectively. The result indicated that the rainfall is expected to be increased by 3.1% at Melkassa, 4.5% at Kobo and to 7.9% at Miesso by 2050s whrereas 9.2%, 12.5% and 20.4% increment change is expected by 2080s, respectivley. The projected temperature indicated an increament of close to 2.3°C to 3.8°C. The sorghum yield response of future climate over Kobo and Miesso in both mid-term and end-term is riskier as compared to Melkassa, the one in intermediate agroecology. In the case of end-term, the yield reduction ranges from 38 percent for Melkam Varity over Kobo to 25 percent over Melkassa. On the other hand, combination of early planting and increasing the fertilizer rate by 50% would increase sorghum productivity in all cases. In general, the results indicated that climate change would aggravate the ongoing food production challenges unless appropriate adaptation plans be designed and implemented. Indeed, the findings of this study would have a potential impact for policy makers, researchers, and agricultural experts by looking for appropriate adaptation options that enable sustainable production under future climate changes scenarios.
Published in | International Journal of Applied Agricultural Sciences (Volume 11, Issue 1) |
DOI | 10.11648/j.ajasr.20251101.15 |
Page(s) | 48-57 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Adaptation, Climate Change Impact, Sorghum Production
Locations | Annual | JJAS |
---|---|---|
Kobo | 679.3 | 405.9 |
Melkassa | 823.7 | 557.5 |
Miesso | 726.6 | 403.7 |
Genetic parameters | Description | Estimated coef. | |
---|---|---|---|
Teshale | Melkam | ||
P1 | Thermal time from seedling emergence to the end of the juvenile phase (expressed in degree days above a base temperature of 8°C) during which the plant is not responsive to changes in photoperiod | 250.1 | 311.7 |
P2O | Critical photoperiod or the longest day length (in hours) at which development occurs at a maximum rate. At values higher than P20, the rate of development is reduced | 12.46 | 12.46 |
P2R | Extent to which phasic development leading to panicle initiation (expressed in degree days) is delayed for each hour increase in photoperiod above P20. | 101.7 | 154.4 |
P5 | Thermal time (degree days above a base temperature of 8°C) from beginning of grain filling (3 - 4 days after flowering) to physiological maturity | 492.8 | 480.8 |
G1 | Scaler for relative leaf size | 5.512 | 6.4 |
G2 | Scaler for partitioning of assimilates to the panicle (head). | 5.255 | 5.0 |
Nutrient Type | Treatment-1 | Treatment-2 | Treatment-3 | |||
---|---|---|---|---|---|---|
DAP (150 kg/ha) | Urea (100 kg/ha) | DAP (100 kg/ha) | Urea (75 kg/ha) | DAP (75 kg/ha) | Urea (50 kg/ha) | |
N-kg/ha | 27 | 46 | 18 | 35 | 14 | 23 |
P-kg/ha | 69 | 46 | 35 |
AgMIP | Agricultural Model Intercomparison and Improvement Project |
AR5 | Fifth Assessement Report |
BD | Bulk Density |
CERES | Crop Environment Resource Synthesis |
CSM | Crop System Model |
DLL | Drained Lower Limit |
DSSAT | Decision Support System Agrotechnology Transfer |
DUL | Drained Upper Limit |
EIAR | Ethiopian Institute of Agricultural Research |
EMI | Ethiopian Meteorological Institute |
GCM | Global Climate Model |
GDP | Growth Domestic Product |
GHGs | Greenhouse Gases |
IPCC | Intergovernmental Panel for Climate Change |
ITCZ | Inter-Tropical Convergence Zone |
JJAS | June, July, Augest and September |
RCP | Representative Concentration Pathway |
RGF | Root Growth Factor |
SAT | Saturation |
SBUILD | Soil Data Uitility |
SKs | Saturated Hydroulic Condactivity |
[1] | T. W. Bank, “Agro-climate tools for a new climate-smart agriculture,” 2011. |
[2] | FAO, “IMPACT OF NATURAL HAZARDS AND DISASTERS ON AGRICULTURE THE A CALL FOR ACTION,” no. May, 2015. |
[3] |
CSA, “Agricultural Sample Survey Report on Area and Production (Private Peasant Holdings Meher Season),” Cent. Stat. Agency Ethiop. Bull., vol. 1, no. 586, pp. 1-54, 2018, [Online]. Available:
https://www.oecd.org/dac/accountable-effective-institutions/Governance Notebook 2.6 Smoke.pdf |
[4] | J. W. J. and G. H. K. J. Boote, “Crop simulation models as tools for agro-advisories for weather and disease effects on production.” 2008. |
[5] |
T. B. Urgessa, “Review of challenges and prospects of agricultural production and productivity in Ethiopia.,” J. Nat. Sci. Res., vol. 4, no. 18, pp. 70-77, 2014, [Online]. Available:
http://www.iiste.org/Journals/index.php/JNSR/article/view/15857/16354 |
[6] | G. E. O. Ogutu, W. H. P. Franssen, I. Supit, P. Omondi, and R. W. A. Hutjes, “Probabilistic maize yield prediction over East Africa using dynamic ensemble seasonal climate forecasts,” Agric. For. Meteorol., vol. 250-251, no. December 2017, pp. 243-261, 2018, |
[7] |
S. Program, E. Ii, A. S. Taffesse, P. A. Dorosh, S. A. Gemessa, and S. Asrat, “Crop Production in Ethiopia : Regional Patterns and Trends,” Food Agric. Ethiop. Prog. Policy Challenges, no. Essp Ii, pp. 53-83, 2011, [Online]. Available:
http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/127350 |
[8] | MoANR, “Agricultural Extension Strategy of Ethiopia,” p. 56, 2017. |
[9] | FAO, Social protection and agriculture: Breaking the cycle of rural poverty. 2015. |
[10] | E. Bryan, T. T. Deressa, G. A. Gbetibouo, and C. Ringler, “Adaptation to climate change in Ethiopia and South Africa : options and constraints,” vol. 12, pp. 413-426, 2009, |
[11] | D. Korecha and A. G. Barnston, “Predictability of June-September rainfall in Ethiopia,” Mon. Weather Rev., vol. 135, no. 2, pp. 628-650, Feb. 2007, |
[12] | Z. Eshetu, H. Gebre, and N. Lisanework, “Impacts of climate change on sorghum production in North Eastern Ethiopia,” African J. Environ. Sci. Technol., vol. 14, no. 2, pp. 49-63, 2020, |
[13] | F. Ward, “National Meteorological Agency Agrometeorological,” vol. 16, no. 27, pp. 1-21, 2006. |
[14] | M. Winthrop, T. Kajumba, and S. McIvor, “Ethiopia Country Climate Risk Assessment Report,” Irish Aid, no. February, p. 44, 2018, [Online]. Available: |
[15] | M. M. Kidane Georgis, Alemneh Dejene, ENVIRONMENT AND NATURAL RESOURCES MANAGEMENT WORKING PAPER Inventory of Adaptation Practices and Technologies of Ethiopia Agricultural based Livelihood Systems in Drylands in the Context. 2010. |
[16] | A. T. and G. A. Kidane Giorgis, “AGRICULTURAL DEVELOPMENT IN DROUGHT-PRONE AREAS OF ETHIOPIA: Interventions, Challenges and Good Practice,” 2018. [Online]. Available: |
[17] | FAO, Agricultural based Livelihood Systems in Drylands in the Context of Climate Change, vol. 45, no. 2. 2010. |
[18] | P. Singh et al., “Quantifying potential benefits of drought and heat tolerance in rainy season sorghum for adapting to climate change,” Agric. For. Meteorol., vol. 185, pp. 37-48, 2014, |
[19] | M. Bernardi, “Strengthening Operational Agrometeorological Services at the National Level - Proceedings of the Inter-regional Workshop MArch 22-26, 2004, Manila, Philippines,” no. January 2004, p. 238, 2006. |
[20] | S. Savary, A. Ficke, J. N. Aubertot, and C. Hollier, “Crop losses due to diseases and their implications for global food production losses and food security,” Food Secur., vol. 4, no. 4, pp. 519-537, 2012, |
[21] | A. Kassam et al., Natural Resource Assessment for Crop and Land Suitability: An application for selected bioenergy crops in Southern Africa region Plant Production and Protection division Food and agriculture organization oF the united nations Rome, 2012, vol. 14. 2012. |
[22] | J. W. Jones, J. He, K. J. Boote, P. Wilkens, C. H. Porter, and Z. Hu, “Estimating DSSAT cropping system cultivar-specific parameters using bayesian techniques,” Methods Introd. Syst. Model. into Agric. Res., vol. 2, no. January, pp. 365-393, 2015, |
[23] | J. W. Jones et al., The DSSAT cropping system model, vol. 18. 2003. |
[24] | A. Yakoub, J. Lloveras, A. Biau, J. L. Lindquist, and J. I. Lizaso, “Testing and improving the maize models in DSSAT: Development, growth, yield, and N uptake,” F. Crop. Res., vol. 212, no. July, pp. 95-106, 2017, |
[25] | G. Aspects, Manual on the Global Observing System (Annex V to the WMO Technical Regulations), vol. I, no. 544. 2003. |
[26] | A. C. Ruane, R. Goldberg, and J. Chryssanthacopoulos, “Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation,” Agric. For. Meteorol., vol. 200, no. 2015, pp. 233-248, 2015, |
[27] | J. Ramirez-villegas, “CGIAR Climate Change Adaptation work as it relates to GYGA”. |
[28] | W. Wu, J. long Chen, H. bin Liu, A. Garcia y Garcia, and G. Hoogenboom, “Parameterizing soil and weather inputs for crop simulation models using the VEMAP database,” Agric. Ecosyst. Environ., vol. 135, no. 1-2, pp. 111-118, 2010, |
[29] | M. Jones and A. Singels, “DSSAT v4.5 - Canegro Sugarcane Plant Module User Documentation,” no. December, pp. 1-57, 2008. |
[30] | M. B. Richman, L. M. Leslie, and Z. T. Segele, “Classifying Drought in Ethiopia Using Machine Learning,” in Procedia Computer Science, Elsevier B. V., 2016, pp. 229-236. |
[31] | T. Younos and C. A. Grady, Climate Change and Water Resources. The Handbook of Environmental Chemistry, vol. 25. 2013. |
[32] | C. Funk et al., “Warming of the Indian Ocean threatens eastern and southern African food security but could be mitigated by agricultural development,” Proc. Natl. Acad. Sci. U. S. A., vol. 105, no. 32, pp. 11081-11086, 2008, |
[33] | A. Bukantis and E. Rimkus, “Climate variability and change in Lithuania,” Acta Zool. Litu., vol. 15, no. 2, pp. 100-104, 2005, |
[34] | S. Syamsuri, S. Sulistyowati, and I. Wibawa, “Disparitas Pertimbangan Hakim Dalam Penetapan Dispensasi Kawin Dalam Prespektif Pencegahan Perkawinan Usia Dini Di Pengadilan Agama Kudus,” J. Suara Keadilan, vol. 20, no. 1, pp. 59-64, 2019, |
[35] | M. Yang et al., “The role of climate in the trend and variability of Ethiopia’s cereal crop yields,” Sci. Total Environ., vol. 723, Jun. 2020, |
[36] | P. Singh, K. J. Boote, U. Kumar, K. Srinivas, S. N. Nigam, and J. W. Jones, “Evaluation of Genetic Traits for Improving Productivity and Adaptation of Groundnut to Climate Change in India,” J. Agron. Crop Sci., vol. 198, no. 5, pp. 399-413, 2012, |
APA Style
Dessalegn, O., Zewdu, E. (2025). Climate Change Adaptation Practices for Sustainable Sorghum Production in Drylands of Ethiopia. International Journal of Applied Agricultural Sciences, 11(1), 48-57. https://doi.org/10.11648/j.ajasr.20251101.15
ACS Style
Dessalegn, O.; Zewdu, E. Climate Change Adaptation Practices for Sustainable Sorghum Production in Drylands of Ethiopia. Int. J. Appl. Agric. Sci. 2025, 11(1), 48-57. doi: 10.11648/j.ajasr.20251101.15
@article{10.11648/j.ajasr.20251101.15, author = {Olika Dessalegn and Eshetu Zewdu}, title = {Climate Change Adaptation Practices for Sustainable Sorghum Production in Drylands of Ethiopia }, journal = {International Journal of Applied Agricultural Sciences}, volume = {11}, number = {1}, pages = {48-57}, doi = {10.11648/j.ajasr.20251101.15}, url = {https://doi.org/10.11648/j.ajasr.20251101.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20251101.15}, abstract = {Climate variability and extreme events are major threats of food production that exacerbates the existing food security challenges in developing countries where agriculture is climate sensitive while adaptive capacity is low to remain productive under undoubtedly changing climate. On the other hand, the dynamically increasing human population increase the demands for more food than ever in the past while the worst climate change scenarios indicate as it would get even harder in fifty to hundred years in the future. Understanding the climate, crop and cropping system have significant importance in effective management of climate risks and designing suitable adaptation strategies for sustainable food production. Therefore, the main objecive of the study was to evaluate and identify climate change adaptation practices for sorghum production over Kobo, Melkassa and Miesso as representative growing agroecologies of Ethiopia. The study was conducted using DSSAT-CSM approach depending on EMI’s historical climate data and climate change data from Global Climate Models (GCMs) for mid (2040-2069) and end-term (2070-2099) periods using delta method downscaling while soil profile data was used from secondary sources. Three planting windows (16th June to 30th June, 1st July to 15th July and 16th July to 30th July) were used to evaluate planting date response of ESH-1, ESH-2 and Melkam Sorghum varieties to be tested in early, normal (intermidate) and late planting, respectively. The result indicated that the rainfall is expected to be increased by 3.1% at Melkassa, 4.5% at Kobo and to 7.9% at Miesso by 2050s whrereas 9.2%, 12.5% and 20.4% increment change is expected by 2080s, respectivley. The projected temperature indicated an increament of close to 2.3°C to 3.8°C. The sorghum yield response of future climate over Kobo and Miesso in both mid-term and end-term is riskier as compared to Melkassa, the one in intermediate agroecology. In the case of end-term, the yield reduction ranges from 38 percent for Melkam Varity over Kobo to 25 percent over Melkassa. On the other hand, combination of early planting and increasing the fertilizer rate by 50% would increase sorghum productivity in all cases. In general, the results indicated that climate change would aggravate the ongoing food production challenges unless appropriate adaptation plans be designed and implemented. Indeed, the findings of this study would have a potential impact for policy makers, researchers, and agricultural experts by looking for appropriate adaptation options that enable sustainable production under future climate changes scenarios. }, year = {2025} }
TY - JOUR T1 - Climate Change Adaptation Practices for Sustainable Sorghum Production in Drylands of Ethiopia AU - Olika Dessalegn AU - Eshetu Zewdu Y1 - 2025/02/22 PY - 2025 N1 - https://doi.org/10.11648/j.ajasr.20251101.15 DO - 10.11648/j.ajasr.20251101.15 T2 - International Journal of Applied Agricultural Sciences JF - International Journal of Applied Agricultural Sciences JO - International Journal of Applied Agricultural Sciences SP - 48 EP - 57 PB - Science Publishing Group SN - 2469-7885 UR - https://doi.org/10.11648/j.ajasr.20251101.15 AB - Climate variability and extreme events are major threats of food production that exacerbates the existing food security challenges in developing countries where agriculture is climate sensitive while adaptive capacity is low to remain productive under undoubtedly changing climate. On the other hand, the dynamically increasing human population increase the demands for more food than ever in the past while the worst climate change scenarios indicate as it would get even harder in fifty to hundred years in the future. Understanding the climate, crop and cropping system have significant importance in effective management of climate risks and designing suitable adaptation strategies for sustainable food production. Therefore, the main objecive of the study was to evaluate and identify climate change adaptation practices for sorghum production over Kobo, Melkassa and Miesso as representative growing agroecologies of Ethiopia. The study was conducted using DSSAT-CSM approach depending on EMI’s historical climate data and climate change data from Global Climate Models (GCMs) for mid (2040-2069) and end-term (2070-2099) periods using delta method downscaling while soil profile data was used from secondary sources. Three planting windows (16th June to 30th June, 1st July to 15th July and 16th July to 30th July) were used to evaluate planting date response of ESH-1, ESH-2 and Melkam Sorghum varieties to be tested in early, normal (intermidate) and late planting, respectively. The result indicated that the rainfall is expected to be increased by 3.1% at Melkassa, 4.5% at Kobo and to 7.9% at Miesso by 2050s whrereas 9.2%, 12.5% and 20.4% increment change is expected by 2080s, respectivley. The projected temperature indicated an increament of close to 2.3°C to 3.8°C. The sorghum yield response of future climate over Kobo and Miesso in both mid-term and end-term is riskier as compared to Melkassa, the one in intermediate agroecology. In the case of end-term, the yield reduction ranges from 38 percent for Melkam Varity over Kobo to 25 percent over Melkassa. On the other hand, combination of early planting and increasing the fertilizer rate by 50% would increase sorghum productivity in all cases. In general, the results indicated that climate change would aggravate the ongoing food production challenges unless appropriate adaptation plans be designed and implemented. Indeed, the findings of this study would have a potential impact for policy makers, researchers, and agricultural experts by looking for appropriate adaptation options that enable sustainable production under future climate changes scenarios. VL - 11 IS - 1 ER -