Focus: Building resilient, integrated, mixed, multi- enterprise land use systems adapted to key non-tropical dry area agro-ecologies (rainfed, agro-pastoral, and irrigated) and markets. Sustainable intensification of non-tropical dry area crop and livestock production systems, with a strong market orientation, is a key driver of increasing agricultural productivity and is crucial to addressing livelihoods, food security, and the sustainable use of natural resources under changing climate conditions. This intensification requires addressing significant water-limited yield gaps in rainfed areas through improved agronomic practices and the scaling up of conservation-based farming practices. To support adoption of conservation agriculture, SRP3 will develop solutions to optimize the use of plant biomass for restoring soil health and livestock feed. We will develop integrated crop–legume–livestock systems that move towards carbon neutrality and increased resilience to cope with climates of the future.
ICARDA Strategic Plan 2017 - 2026: https://dx.doi.org/20.500.11766/8237
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11 to 20 of 36 Results
Feed Demand in Ethiopia 1961-2013
Apr 9, 2026
Frija, Aymen; Ouerghemmi, Hassen, 2021, "Feed Demand in Ethiopia 1961-2013", https://hdl.handle.net/20.500.11766.1/FK2/F3XAIR, MELDATA, V19
This dataset contains data on feed demand in Ethiopia. Feed quantity (the dependent variable) includes brans, cottonseed cake, groundnut cake, maize, molasses, and oil crops. Independent variables include data on climatic conditions, economic situation, land use and quality, live...
Dataset of stakeholder interviews conducted as part of the mid-term evaluation of the SKiM project
Apr 9, 2026
McLeod, Ross, 2021, "Dataset of stakeholder interviews conducted as part of the mid-term evaluation of the SKiM project", https://hdl.handle.net/20.500.11766.1/FK2/KXOWON, MELDATA, V20
The dataset includes stakeholder interviews conducted as part of the mid-term evaluation of the SKiM project (Partner NARS Scientist and Extension Officers, Universities).
Spineless cactus harvest data
Apr 9, 2026
Keshari Sahoo, Padma; Swain, Nigamananda; Sarker, Ashutosh, 2021, "Spineless cactus harvest data", https://hdl.handle.net/20.500.11766.1/FK2/ROSJHI, MELDATA, V8
The present dataset belong to project “Spineless Cactus in Hilly/Degraded Lands and Grass pea in Winter Fallows for Fodder, Food & Nutrition Security in Tribal Areas in Odisha”, implemented in Odisha state in India in the period 2018-2021. The dataset presents the number of cactu...
Set of SMS messages sent to 750 farmers
Apr 9, 2026
M'hamed, Hatem Cheikh; Zaiem, Anis, 2021, "Set of SMS messages sent to 750 farmers", https://hdl.handle.net/20.500.11766.1/FK2/S0OGF3, MELDATA, V9
The dataset includes a list of SMS text messages in Arabic covering various subjects like agricultural professional organizations, animal health, conservation agriculture, animal husbandry, cattle husbandry, forage crops, forage and food. The messages are listed together with the...
Curated dataset from Rapid appraisal study in Egypt
Apr 9, 2026
Najjar, Dina; Alary, Veronique; Oueslati, Dorsaf, 2021, "Curated dataset from Rapid appraisal study in Egypt", https://hdl.handle.net/20.500.11766.1/FK2/3BQ5XK, MELDATA, V19
The family farm dataset comes from a data collection conducted from July to October 2020 within two CGIAR Research Programs on Policies, Institutions, and Markets (PIM) and on Livestock (LIVESTOCK). The two CRP programs aimed to empower the CGIAR response to a sanitary crisis in...
Global data on livestock contribution to economic development for 2016
Apr 9, 2026
Frija, Aymen; Ouerghemmi, Hassen, 2021, "Global data on livestock contribution to economic development for 2016", https://hdl.handle.net/20.500.11766.1/FK2/7JXUTC, MELDATA, V16
This dataset compiles aggregated variables describing both global livestock sector and macroeconomic attributes of 217 countries globally for 2016. The data is compiled to help with context-specific and typology analyses of the importance of livestock within each of the emerging...
Dataset of key informant interviews conducted for the mid-term evaluation of the CLCA project in North Africa
Apr 9, 2026
Massaoud, Ahlem; McLeod, Ross, 2021, "Dataset of key informant interviews conducted for the mid-term evaluation of the CLCA project in North Africa", https://hdl.handle.net/20.500.11766.1/FK2/5XV94T, MELDATA, V16
The dataset includes three questionnaires which are part of the mid-term evaluation of the IFAD CLCA project in North Africa.
Dataset of key informant interviews conducted for the mid-term evaluation of the CLCA project in North Africa, Latin America and Caribbean Countries
Apr 9, 2026
McLeod, Ross; Aguilera, Javier; Massaoud, Ahlem, 2021, "Dataset of key informant interviews conducted for the mid-term evaluation of the CLCA project in North Africa, Latin America and Caribbean Countries", https://hdl.handle.net/20.500.11766.1/FK2/3FXAET, MELDATA, V15
The dataset includes key informant interviews conducted for the mid-term evaluation of the IFAD CLCA project in North Africa, Latin America and Caribbean Countries.
Spineless cactus biometric data
Apr 9, 2026
Keshari Sahoo, Padma; Swain, Nigamananda; Sarker, Ashutosh, 2021, "Spineless cactus biometric data", https://hdl.handle.net/20.500.11766.1/FK2/8NUADP, MELDATA, V7
The present dataset belong to project “Spineless Cactus in Hilly/Degraded Lands and Grass pea in Winter Fallows for Fodder, Food & Nutrition Security in Tribal Areas in Odisha”, implemented in Odisha state in India in the period 2018-2021. The dataset presents biometric data abou...
Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes
Apr 9, 2026
Rouatbi, Mariem; Bouaicha, Faten; Romdhane, Rihab; Sassi, Limam; Dhibi, Mokhtar; Saddam, Rahma; Rekik, Mourad; Haile, Aynalem; Rischkowsky, Barbara; Mwacharo, Joram; Gharbi, Mohamed, 2019, "Database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes", https://hdl.handle.net/20.500.11766.1/GXJ0XR, MELDATA, V10
Dataset introduction, description, sites, identifiers and values of the database on the phenotypic resistance of Tunisian sheep breeds to gastro-intestinal nematodes, curated as by General Datasets Curation Guide (GDCG, 2019).
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