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The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective authoring institution(s) and the author(s) concerned. By using the ICARDA Dataverse, the user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

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In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study. ICARDA requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

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61 to 70 of 608 Results
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Al-Ajlouni, Zakaria Ibrahim; Rihawi, Fawzi; Abdalla, Osman, 2000, "Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2000", https://hdl.handle.net/20.500.11766.1/FK2/FW7YIC, MELDATA, V6
Datasets of Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Bread Wheat for Wheat Stem Saw Fly Resistance Experiment 2000.
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Mazid, Ahmed; Makboul, Rafik, 2000, "El Bab Project: Introduction of Common Vetch in Crop Rotation in El-Bab Survey 2000", https://hdl.handle.net/20.500.11766.1/FK2/XMHM8J, MELDATA, V10
Datasets of El Bab Project: The dataset contains Syrian agricultural production data (wheat, barley and vetches) for the 1961-2002 period. It includes seed quantities, area harvested, yields and total production data.
Apr 22, 2025 - Collect, Conserve and Use Agricultural Biodiversity
El Bouhssini, Mustapha; Ibrahim, Zakaria; Rihawi, Fawzi; Miloudi, Nachit, 2003, "Integrated Pest management (IPM) of Insect Pests – Wheat Stem Saw Fly Project: Evaluation of Durum Wheat for Wheat Stem Saw Fly Resistance Experiment 2003", https://hdl.handle.net/20.500.11766.1/FK2/WDXJV3, MELDATA, V7
Datasets of Integrated Pest management (IPM) of Insect Pests - Wheat Stem Saw fly project: evaluation of durum wheat for wheat stem saw fly resistance experiment 2003. The objective is to identify sources of resistance in durum wheat to wheat stem saw fly. Note: the dataset does...
Apr 21, 2025 - Climate adapted crops and livestock
Khbou, Mediha Khamassi; Romdhane, Rihab; Sassi, Limam; Rouatbi, Mariem; Haile, Aynalem; Rekik, Mourad; Gharbi, Mohamed, 2020, "Individual Variability of Tunisian sheep breeds to infestation by ticks and infection by piroplasm", https://hdl.handle.net/20.500.11766.1/FK2/QHWQVI, MELDATA, V7
The phenotypic records were collected from 459 Tunisian female sheep belonging to 3 sheep breeds (BARB, QFO and CROSS). The study was carried out between March 2018 and January 2020 in 18 small to middle-sized sheep flocks from 6 regions where these breeds prevail in Tunisia: Mor...
Apr 21, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Christmann, Stefanie, 2020, "Crop yields for Farming With Alternative Pollinators and monoculture techniques", https://hdl.handle.net/20.500.11766.1/FK2/FH2FJU, MELDATA, V4
These data have been taken in the BEAF project January 2015 – December 2016, funded by BMZ, “Farming with Alternative Pollinators (FAP)” to simultaneously enhance climate change resilience of agro-ecosystems and farmers’ income, Morocco, Skhirat area. We wanted to replicate the p...
Apr 21, 2025 - International Livestock Research Institute
Getachew, Dinede; Knight-Jones, Theodore; Bihon, Wubetu; Gazu, Lina; Girma, Sisay; Srinivasan, Ramasamy; Roothaert, Ralph; Grace, Delia; Gashaw, Habtamu, 2022, "Urban Food Markets in Africa – incentivizing food safety (Pull-Push Project) - Assessment of pesticide residues in vegetables produced in central and eastern Ethiopia", https://hdl.handle.net/20.500.11766.1/FK2/ZFUA66, MELDATA, V17
The project aims to improve food safety in urban informal markets in Burkina Faso and Ethiopia, specifically in poultry and vegetable value chains. While previous efforts have often focused on training producers or regulators with little attention to incentives for behaviour chan...
Apr 18, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Barpete, Surendra, 2025, "Grass pea stage 2 - IGYT_HB_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/N0IOSF, MELDATA, V1
The dataset includes observation data about the study IGYT_HB_2024: International Grass Pea (Lathyrus sativus) Yield Trial for High Biomass 2024. Objective: to test the improved elite lines under a wide range of environments to identify superior high yielding and widely adapted l...
Apr 18, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Barpete, Surendra, 2025, "Grass pea stage 2 - IGYT_E_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/COFVNE, MELDATA, V1
The dataset includes observation data about the study IGYT_E_2024: International Grass Pea (Lathyrus sativus) Yield Trial for Earliness 2024. Objective: to test the improved elite lines under a wide range of environments to identify superior high yielding and widely adapted lines...
Apr 18, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Barpete, Surendra, 2024, "Grass pea stage 2 - IGYT_HB_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/OP1V0X, MELDATA, V4
The dataset includes observation data about the study IGYT_HB_2023: International Grass Pea (Lathyrus sativus) Yield Trial for High Biomass 2023. Objective: to test the improved elite lines under a wide range of environments to identify superior high yielding and widely adapted l...
Apr 18, 2025 - Collect, Conserve and Use Agricultural Biodiversity
Barpete, Surendra, 2024, "Grass pea stage 2 - IGYT_E_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/UCANLV, MELDATA, V4
The dataset includes observation data about the study IGYT_E_2023: International Grass Pea (Lathyrus sativus) Yield Trial for Earliness 2023. Objective: to test the improved elite lines under a wide range of environments to identify superior high yielding and widely adapted lines...
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