Taking technological innovations to scale can only be achieved through cooperation and strategic partnerships with key stakeholders and actors. Effective and complementary partnerships, however, are much more than a numbers game; we believe that the most effective partnerships and capacity strengthening efforts are those that target a clear research-for-development agenda. ICARDA will grow its partnership base to further include more ARIs, non-traditional partners, private-sector partners, non-governmental organizations, development agencies, financial institutions, and key change agents, seeking greater engagement especially with ARIs and public–private partnerships. The Center will sharpen its focus on South–South cooperation, already successfully developed through a number of initiatives. Key to the success of scaling is the need to ensure that the research we undertake and the knowledge we generate is demand-driven and relevant and addresses the challenges of smallholder farmers, particularly women and youth.
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

11 to 20 of 145 Results
Apr 9, 2026
El-Hiary, Masnat; Dhehibi, Boubaker; Dradkah, Raghda; Abdallat, Ala'a; Al Arabiat, Ola Ali Suleiman; Al Hadidi, Omama, 2021, "Dataset for Feasibility Study for Milk Processing Unit at Household for the Agro Pastoral Communities in Jordan", https://hdl.handle.net/20.500.11766.1/FK2/65JXMF, MELDATA, V13
The dataset includes the responses of 26 farmers to a questionnaire survey implemenented in 2020 in Jordan as part of the "Economic Feasibility Study of Dairy Processing (Sheep and goat milk) at the Household Level: Case of Jordanian Badia Communities" of the project "Strengtheni...
Apr 9, 2026
Wamatu, Jane; Ephrem, Nahom, 2018, "Profiling and mapping of youth group members and champion farmers", https://hdl.handle.net/20.500.11766.1/NZEFSZ, MELDATA, V8
The TAAT project is scaling up adoption of improved sheep fattening technology and practices in Ethiopia through implementation of benchmark sites which comprise sheep fattening youth groups and model champion farmers. These sites will act as disseminators of proven sheep fatteni...
Apr 9, 2026
Wamatu, Jane; Ephrem, Nahom, 2019, "Weight gains of rams of TAAT Sheep fattening scaling project beneficiaries", https://hdl.handle.net/20.500.11766.1/0PVF9Q, MELDATA, V8
The TAAT project is scaling up adoption of improved sheep fattening technology and practices in Ethiopia through implementation of benchmark sites which comprise sheep fattening youth groups and model champion farmers. The dataset contains the results of a sheep fattening experim...
Apr 9, 2026
Khawam, Hala; Najjar, Dina, 2017, "Statistics on Animal Production in Tunisia", https://hdl.handle.net/20.500.11766.1/0Q9OGQ, MELDATA, V13
In this dataset animal production aspects are collected in order to monitor the trend in production and trade in Tunisia. The data are not collected in the field but downloaded from other web sources: FAOSTAT (http://www.fao.org/faostat/en/#data/QA) and Statistiques Tunisie (http...
Apr 9, 2026
Khawam, Hala; Najjar, Dina, 2017, "Statistics on Crops, with a Focus on Barley Production and Trade, in Tunisia", https://hdl.handle.net/20.500.11766.1/YSTDVL, MELDATA, V11
In this dataset, the main barley aspects are collected in order to monitor its trend in production and trade in Tunisia. The data are not collected in the field but downloaded from other web sources: FAOSTAT (http://www.fao.org/faostat/en/#data/QC) and Statistiques Tunisie (http:...
Apr 9, 2026
Mazid, Ahmed; Shideed, Kamel; Amegbeto, Koffi, 2007, "Survey data on impact of winter chickpea technology in Syria", https://hdl.handle.net/20.500.11766.1/FK2/BHMTSF, MELDATA, V14
Survey data on impact of winter chickpea technology in Syria. The study was conducted in the 2005/06 season to collect information from farmers on the performance of winter-sown cultivars in comparison with the traditional spring plantings. The data were used to analyze the impac...
Comma Separated Values - 1.1 KB - MD5: 7dd2efb147a66dedf95867e07c0f3730
Comma Separated Values - 714 B - MD5: 983054482225ad20363675674456da4b
Comma Separated Values - 839 B - MD5: 490edf4c2cc81c906d408fff98a0b2ac
Comma Separated Values - 12.1 KB - MD5: efcad378afe22455bcc7c336a5bfa6da
Add Data

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

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.