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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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31 to 40 of 609 Results
Jan 21, 2026 - International Livestock Research Institute
Muktar, Meki; Negawo, Alemayehu Teressa, 2025, "GBS data on ILRI's Rhodes grass collection", https://hdl.handle.net/20.500.11766.1/FK2/R8MUCH, MELDATA, V1
The dataset contains high density genome-wide SNP markers on 320 Rhodes grass samples conserved in the ILRI forage genebank. The markers data are useful for genetic diversity analysis, marker assisted selection, genomic selection, and QTL identification in Rhodes grass.
Jan 21, 2026 - Building resilient integrated crop-livestock farming systems
Rekik, Mourad; Kosimov, Alisher; Kosimov, Farhod Fayzulloevich; Kosimov, Matazim A.; Rischkowsky, Barbara, 2015, "Results from Artificial Insemination Campaign in two Tajik Angora goats herds in October 2014", https://hdl.handle.net/20.500.11766.1/FK2/K0SKJD, MELDATA, V7
The dataset documents the results from the Artificial Insemination campaign with frozen Texas Angora semen in two Tajik Angora herds in October 2015.
Jan 21, 2026 - 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, V10
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...
Jan 21, 2026 - Building resilient integrated crop-livestock farming systems
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, V9
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).
Jan 19, 2026 - Collect, Conserve and Use Agricultural Biodiversity
Nazari, Kumarse; El Amil, Rola; Al-Jaboobi, Muamar; Maafa, Ilyass; Kemal, Seid Ahmed; Ramdani, Abdelhamid; Ibriz, Hafid; SBAI, Ibtihel; Ramdhane, Nasraoui; Abdsattar, Bouslimi, 2022, "PHI in country cereal rust survey data - Lebanon, Morocco and Tunisia 2022", https://hdl.handle.net/20.500.11766.1/FK2/6LFZ4Q, MELDATA, V12
The dataset is about the surveillance and monitoring of the cereal rust diseases in Lebanon, Morocco, and Tunisia in 2022. Rust surveillance was carried out in farmer’s fields and research stations using the BGRI rust surveillance form. Geo-referenced information, crop phenology,...
Jan 16, 2026 - Climate adapted crops and livestock
Wamatu, Jane; Ephrem, Nahom; Zeleke, Muluken; Abiso, Tesfaye; Alemayehu, Liulseged, 2020, "Ethiopia sheep fattening data", https://hdl.handle.net/20.500.11766.1/FK2/BJRRCV, MELDATA, V10
The data shows fattening performance of rams over a period of 90 days undertaken by members of sheep fattening youth groups in Ethiopia. The data lists weights of rams from the start of fattening (day 1) and subsequent weights at 15 day interval for the entire fattening period of...
Jan 16, 2026 - Scaling-up of proven technological packages
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, V7
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...
Jan 16, 2026 - Scaling-up of proven technological packages
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, V7
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...
Jan 16, 2026 - Sustainable use and management of scarce water and land resources
Devkota Wasti, Mina Kumari; Nangia, Vinay, 2021, "Genotype x Environment x Management for wheat in drylands", https://hdl.handle.net/20.500.11766.1/FK2/UVERUW, MELDATA, V14
The dataset contains genotype and crop management data for wheat yield for four different growing season. The experiment was carried out in ICARDA Research station in Merchouch, Morocco (Geo-location: 33°36′41′′N, 6°42′45′′W, 390 m.a.s.l.).
Jan 14, 2026 - Climate adapted crops and livestock
Yigezu, Yigezu; Rahman, M. Wakilur; Aw-Hassan, Aden A.; Alwang, Jeff, 2021, "Improved lentil varieties adoption and impacts in Bangladesh", https://hdl.handle.net/20.500.11766.1/FK2/SOCWF9, MELDATA, V15
Dataset on improved lentil varieties (ILVs) adoption and impacts in Bangladesh. It was built through a survey of 1000 households and all their 1694 fields that were cultivated with lentils in the 2014/2015 season. The primary objective of the survey was the determination of the l...
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