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
Evaluation of sorghum/faba bean intercropping for intensifying existing production systems
Evaluation of sorghum/faba bean intercropping for intensifying existing production systems
Aug 30, 2025
Jemberu, Tsedalu, 2016, "Evaluation of sorghum/faba bean intercropping for intensifying existing production systems", https://hdl.handle.net/20.500.11766.1/FK2/6ILNVG, 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.
Experimental results on land and water productivity in rainfed areas in Morocco
Aug 30, 2025
Karrou, Mohammed; Daoui, Khalid; Razouk, Rachid; Boutfirass, Mohamed; Bahri, Abdeljabar, 2015, "Experimental results on land and water productivity in rainfed areas in Morocco", https://hdl.handle.net/20.500.11766.1/FK2/XOSFYG, MELDATA, V16
The dataset contains the result of a series of experiments conducted in Morocco between 2014 and 2015, about land and water productivity.
Effect of deficit irrigation on growth and yield of onion
Effect of deficit irrigation on growth and yield of onion
Aug 30, 2025
Gebretsadik, Muuz, 2016, "Effect of deficit irrigation on growth and yield of onion", https://hdl.handle.net/20.500.11766.1/FK2/M95ZDZ, MELDATA, V5
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial (Muuz Gebretsadik). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration.
Field level data collection on conjunctive use of canal water, drainage water and groundwater
Apr 22, 2025
Awan, Usman, 2015, "Field level data collection on conjunctive use of canal water, drainage water and groundwater", https://hdl.handle.net/20.500.11766.1/FK2/9GLMUK, MELDATA, V12
The dataset is the results of a data collection on conjunctive use of canal water, drainage water and groundwater in Uzbekistan.
Irrigation and drainage in Fergana region, Uzbekistan
Apr 22, 2025
Awan, Usman, 2015, "Irrigation and drainage in Fergana region, Uzbekistan", https://hdl.handle.net/20.500.11766.1/FK2/OYHDLG, MELDATA, V11
The dataset is composed by six shape files on irrigation and drainage in Oktepa district (Fergana), Uzbekistan.
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.
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