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
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

61 to 70 of 693 Results
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.
OFID household survey on landscape depressions
Aug 26, 2025
Louhaichi, Mounir; Hassan, Sawsan; Clifton, Kathryn; Werner, Jutta, 2015, "OFID household survey on landscape depressions", https://hdl.handle.net/20.500.11766.1/FK2/8ELQDS, MELDATA, V7
The dataset contains the results of a survey with the purpose to compare practices like barley cultivation in the depressions and improved rangeland in Badia in terms of economic viability in the long term. The survey is part a of a research working on a solution to the land degr...
The Relevance of Rest Periods in Rangeland Management for Plant Density in Tataouine, Tunisia, Spring 2017
Aug 26, 2025
Louhaichi, Mounir; Ouled Belgacem, Azaiez; Abdelkader, Mohamed; Ben Salem, Farah, 2017, "The Relevance of Rest Periods in Rangeland Management for Plant Density in Tataouine, Tunisia, Spring 2017", https://hdl.handle.net/20.500.11766.1/FK2/X9IYIU, MELDATA, V9
In southern Tunisia, rangelands are overexploited because the animal needs highly exceed plant production. For most of the skeletal desert soil, the overall vegetation covering oscillates between 1 and 10%; the perennial aerial biomass is lower than 100 kg of dry matter (DM)/ha/y...
Survey data collected for 3 case study pilot water users' associations (WUAs) of Fergana Valley
Jun 30, 2025
Anarbekov, Oyture, 2015, "Survey data collected for 3 case study pilot water users' associations (WUAs) of Fergana Valley", https://hdl.handle.net/20.500.11766.1/FK2/ULVHNE, MELDATA, V12
The present work consists of in-depth survey data, collected from a pilot WUAs in Ferghana Valley.
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...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.