Focus: Enhance water and land productivity in key non- tropical dry area agro-ecologies (rainfed, irrigated, and agro-pastoral). Water resources are the most limiting component of agricultural production in dry areas. ICARDA will therefore continue to improve agricultural water productivity and, in collaboration with our sister center the International Water Management Institute (IWMI) and others, develop its framework further for wider adoption. Core to the research effort of SRP5 is enhancing and restoring the provisioning, regulating, and supporting ecosystem services in dry areas. SRP5 will build upon past achievements, which range from rainwater harvesting using landscape modification to supplemental and deficit irrigation. We will take a more integrated approach to managing soil, land, and water resources across the extensive rangelands of non-tropical dry areas through links with the rangeland, livestock, and value chain expertise embedded in the Center. Further, with partner ARIs we will investigate alternative opportunities to diversify the livelihoods of the communities in rangelands, for example in renewable energy.
ICARDA Strategic Plan 2017 - 2026: https://dx.doi.org/20.500.11766/8237
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61 to 70 of 84 Results
Dataset of all measured parameter for ET-based irrigation scheduling for Aral Sea Basin site, Khorezm, Uzbekistan
Apr 22, 2025
Nangia, Vinay; Sin, Liliana; Djumaniyazova, Yulduzoy; Yuldashev, Tulkun, 2016, "Dataset of all measured parameter for ET-based irrigation scheduling for Aral Sea Basin site, Khorezm, Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/D8CUDV, MELDATA, V8
Dataset of all measured parameters for ET-based irrigation scheduling for Aral Sea Basin site, Khorezm, Uzbekistan. Series of data is on winter wheat and cotton crops. Data collection occurred between 2014 and 2015.
Dataset of measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan
Apr 22, 2025
Nangia, Vinay; Mukhamedjanov, Shukhrat; Yuldashev, Tulkun, 2016, "Dataset of measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/YF9UBV, MELDATA, V8
Datasets of all measured parameters for ET-based irrigation scheduling in Fergana Valley, Uzbekistan. Series of data is on winter wheat and cotton crops. Data collection occurred in 2015.
Tree Planting Data 2018 - Kenya
Apr 17, 2025
Magaju, Christine; Winowiecki, Leigh; Nyaga, John; Ochenje, Ibrahim; Makui, Parmutia; Kiura, Esther; Crossland, Mary; Valencia, Ana Maria; Kuria, Anne; Carsan, Sammy; Muriuki, Jonathan; Sola, Phosiso; Muthuri, Silas; Mutua, Francisca; Mbuvi, Caroline; Maithya, Stephen; Mwende, Mercy; Muendo, Sylvester; Vagen, Tor-Gunnar; Sinclair, Fergus, 2019, "Tree Planting Data 2018 - Kenya", https://hdl.handle.net/20.500.11766.1/FK2/BLHHPR, MELDATA, V5
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In...
Tree Planting Data 2017 - Kenya
Apr 17, 2025
Magaju, Christine; Winowiecki, Leigh; Nyaga, John; Ochenje, Ibrahim; Makui, Parmutia; Kiura, Esther; Crossland, Mary; Valencia, Ana Maria; Kuria, Anne; Wafula, Lydia; Carsan, Sammy; Muriuki, Jonathan; Sola, Phosiso; Muthuri, Silas; Mutua, Francisca; Mbuvi, Caroline; Maithya, Stephen; Mwende, Mercy; Muendo, Sylvester; Vagen, Tor-Gunnar; Sinclair, Fergus, 2019, "Tree Planting Data 2017 - Kenya", https://hdl.handle.net/20.500.11766.1/FK2/UUSV0P, MELDATA, V4
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In...
Undersowing Vetch in sorghum for intensifying existing production systems
Apr 14, 2025
Tarekegn, Alemu; Demsew, Yengusie, 2016, "Undersowing Vetch in sorghum for intensifying existing production systems", https://hdl.handle.net/20.500.11766.1/FK2/SXXKWI, MELDATA, V4
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researchers in charge for this trial (Alemu Tarekegn and Yengusie Demsew). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration.
Calibrated DSSAT models for cotton
Apr 14, 2025
Nangia, Vinay, 2015, "Calibrated DSSAT models for cotton", https://hdl.handle.net/20.500.11766.1/FK2/A40B7M, MELDATA, V3
Calibrated DSSAT models for cotton in Khorezm region, Uzbekistan
Water Harvesting and Supplementary Irrigation to improve Green pepper productivity
Water Harvesting and Supplementary Irrigation to improve Green pepper productivity
Apr 14, 2025
Wondifraw, Erteban, 2016, "Water Harvesting and Supplementary Irrigation to improve Green pepper productivity", https://hdl.handle.net/20.500.11766.1/FK2/2QB33W, MELDATA, V4
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial. Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration.
Farmer Profiling Data - Mali
Mar 27, 2025
Savadogo, Patrice; Diakite, Adama, 2019, "Farmer Profiling Data - Mali", https://hdl.handle.net/20.500.11766.1/FK2/NREDEC, MELDATA, V7
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In...
Farmer Profiling Data - Ethiopia
Mar 27, 2025
Hagazi, Niguse; Hadgu, Kiros; Sitotaw, Alemayehu; Tofu, Assefa; Lavoll, Vilde; Winowiecki, Leigh; Magaju, Christine; Nyaga, John; Carsan, Sammy; Muriuki, Jonathan; Sola, Phosiso; Vagen, Tor-Gunnar; Sinclair, Fergus, 2019, "Farmer Profiling Data - Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/LU99IW, MELDATA, V10
In order to assess the impact of the Land Restoration Program, understanding what land restoration options work, where and for whom, there is need to identify the context-specific variables that may influence the performance of the restoration options as well as their uptake. In...
Farmer Profiling Data - Niger
Mar 27, 2025
Bado, Vincent; Sanoussi Manzo, Maman Laminou; Amadou, Abdoulaye, 2020, "Farmer Profiling Data - Niger", https://hdl.handle.net/20.500.11766.1/FK2/O0RRZ1, MELDATA, V4
The dataset is a result of a survey conducted in Niger, inside the project "Restoration of degraded land for food security and poverty reduction in East Africa and the Sahel: taking successes in land restoration to scale". It includes socio-economical data about 1624 households....
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