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

51 to 60 of 693 Results
ACLIMAS project dataset: yield and yield components
Apr 9, 2026
Karrou, Mohammed; Kellas, Nassim; Zaghouane, Omar; Araus, José Luis; Yousfi, Salima; Serret, Maria Dolores; Chadouli, Ahmed, 2015, "ACLIMAS project dataset: yield and yield components", https://hdl.handle.net/20.500.11766.1/FK2/YT1VMH, MELDATA, V5
The dataset contains the results of a trials to study the effects of water regime, nitrogen rate and variety on durum and bread wheat.
Effect of deficit irrigation on growth and yield of onion
Effect of deficit irrigation on growth and yield of onion
Apr 9, 2026
Gebretsadik, Muuz, 2016, "Effect of deficit irrigation on growth and yield of onion", https://hdl.handle.net/20.500.11766.1/FK2/M95ZDZ, MELDATA, V7
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.
Evaluation of sorghum/faba bean intercropping for intensifying existing production systems
Evaluation of sorghum/faba bean intercropping for intensifying existing production systems
Apr 9, 2026
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, V6
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.
Participatory Adaptation of Hot Pepper Varieties for Green Pod Production Under Irrigation
Apr 9, 2026
Jemberu, Tsedalu; Bidru, Asmamaw, 2016, "Participatory Adaptation of Hot Pepper Varieties for Green Pod Production Under Irrigation", https://hdl.handle.net/20.500.11766.1/FK2/BD4HZW, MELDATA, V6
Final dataset from agronomic experiment in Gumara Maksegnit (2016), as elaborated by GARC researcher in charge for this trial (Asmamaw Bidru). Please contact author and contact person at ICARDA to obtain more detailed metadata or to propose collaboration.
Calibrated DSSAT models for cotton
Apr 9, 2026
Nangia, Vinay, 2015, "Calibrated DSSAT models for cotton", https://hdl.handle.net/20.500.11766.1/FK2/A40B7M, MELDATA, V6
Calibrated DSSAT models for cotton in Khorezm region, Uzbekistan
Final Dataset from erosion plot experiment conducted in Gumara-Maksegnit (2015)
Apr 9, 2026
Klik, Andreas, 2016, "Final Dataset from erosion plot experiment conducted in Gumara-Maksegnit (2015)", https://hdl.handle.net/20.500.11766.1/FK2/3VIW4E, MELDATA, V5
Final Dataset from erosion plot experiment conducted in 2015 in Gumara-Maksegnit as elaborated by Andreas Klik of BOKU, scientific responsible of the study. Please contact author to obtain more detailed metadata or to propose collaboration.
Climate data from meteo stations in Central Asia
Apr 9, 2026
Awan, Usman, 2020, "Climate data from meteo stations in Central Asia", https://hdl.handle.net/20.500.11766.1/FK2/67P5QS, MELDATA, V5
The dataset contains climate data form meteo stations in Central Asia, from 2011 to 2015.
Water Harvesting and Supplementary Irrigation to improve Green pepper productivity
Water Harvesting and Supplementary Irrigation to improve Green pepper productivity
Apr 9, 2026
Wondifraw, Erteban, 2016, "Water Harvesting and Supplementary Irrigation to improve Green pepper productivity", https://hdl.handle.net/20.500.11766.1/FK2/2QB33W, MELDATA, V6
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.
Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016
Apr 9, 2026
Strohmeier, Stefan; Haddad, Mira; de Vries, Job, 2017, "Rangeland Hydrological and Erosion Model (RHEM) Evaluation, Badia, Jordan, 2016", https://hdl.handle.net/20.500.11766.1/6PJT8V, MELDATA, V7
Runoff data collected from four runoff plots in 2016. Data collected after each rainfall event. The data used to evaluate the model results. The model used is the Rangeland Hydrological and Erosion Model (RHEM).
Sediment yield data used for SWAT modeling
Apr 9, 2026
Nangia, Vinay, 2015, "Sediment yield data used for SWAT modeling", https://hdl.handle.net/20.500.11766.1/FK2/AOUQEL, MELDATA, V5
The dataset contains sediment erosion data used in SWAT modeling, in order to estimate soil erosion estimation on small watersheds.
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.