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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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1 to 10 of 569 Results
Jul 17, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Singh, Akanksha, 2024, "CWR-derived grass pea 104 lines 2023 - ICARDA Morocco", https://hdl.handle.net/20.500.11766.1/FK2/CTI1FQ, MELDATA, V1
The dataset includes observation data about the study MCH_CWR_104_BOLD_2023: Evaluation of 104 crop wild relatives derived grass pea (Lathyrus sativus) lines at Marchouch station, Marocco, 2023.
Jul 17, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Singh, Akanksha, 2024, "CWR-derived grass pea elite lines identified", https://hdl.handle.net/20.500.11766.1/FK2/UYN4OW, MELDATA, V1
The dataset includes a list of crop wild relatives derived grass pea (Lathyrus sativus) elite lines identified
Jul 17, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Singh, Akanksha, 2024, "Seeds of CWR-derived grass pea lines multiplied and delivered to Partners", https://hdl.handle.net/20.500.11766.1/FK2/XOGRQ1, MELDATA, V1
The dataset includes observation data about crop wild relatives derived grass pea (Lathyrus sativus) elite lines selected and multiplied to be delivered to partners at Marchouch station, Marocco, 2023.
Jul 17, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Singh, Akanksha, 2024, "CWR-derived grass pea 100 lines 2023 - ICARDA Morocco", https://hdl.handle.net/20.500.11766.1/FK2/DHN5B7, MELDATA, V1
The dataset includes observation data about the study MCH_CWR_100_BOLD_2023: Evaluation of 100 crop wild relatives derived grass pea (Lathyrus sativus) lines at Marchouch station, Marocco, 2023.
Jul 6, 2024 - Building resilient integrated crop-livestock farming systems
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, V6
The dataset includes stakeholder interviews conducted as part of the mid-term evaluation of the SKiM project (Partner NARS Scientist and Extension Officers, Universities).
Jul 5, 2024 - International Livestock Research Institute
Muloi, Dishon; Ibayi, Eugine; Nyotera, Sharon; Kirimi, Hildah; Abdi, Abdullahi; Mutungwa, Silvester; Chemutai, Abigael; Moodley, Arshnee, 2024, "Treatment strategies and antibiotic usage practices in mastitis management in Kenyan smallholder dairy farms", https://hdl.handle.net/20.500.11766.1/FK2/SW1IJE, MELDATA, V1
Mastitis is a common driver of antibiotic use in dairy farms and is exacerbated in low-income settings by the lack of diagnostics and treatment strategies. This study assessed the decision-making process of animal health providers (AHPs) in managing mastitis in small-holder dairy...
Jul 3, 2024 - International Livestock Research Institute
Fevre, Eric; Wardrop, Nicola; Thomas, Lian; Atkinson, Peter; de Glanville, William; Cook, Elizabeth Anne; Wamae, Claire; Gabriël, Sarah; Dorny, Pierre; Harrison, Leslie, 2015, "People, Animals and their Zoonoses - The Influence of Socio-economic, Behavioural and Environmental Factors on Taenia spp", https://hdl.handle.net/20.500.11766.1/FK2/V043CK, MELDATA, V1
This project deals with zoonotic infections amongst livestock and the farmers who keep them. Zoonotic diseases are infections transmitted between animals and humans; they are a major group of pathogens (approximately 60% of all human-infective organisms), with a diversity of anim...
Jul 2, 2024 - International Livestock Research Institute
Baltenweck, Isabelle; Fraval, Simon; Rao, James; Githinji, Julius; Githoro, Edmund; Atieno, Turry, 2015, "Green house gas mitigation potential in dairy production systems", https://hdl.handle.net/20.500.11766.1/FK2/2JKU7V, MELDATA, V2
Estimating GHG mitigation potential in dairy production systems and assessing the feasibility of carbon market linkages.
Jul 1, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Jakhar, Preeti, 2024, "Chickpea yield trial - CIEN_SSA_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/FUPLKV, MELDATA, V3
The dataset includes includes observation data about the study CIEN_SSA_2023: Chickpea International Elite Nursery for Sub-Saharan Africa 2023. The nurseries contain lines that target Sub-Saharan Africa environments and are selected for drought tolerance, heat tolerance, disease...
Jul 1, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Jakhar, Preeti, 2024, "Chickpea yield trial - CIEN_SA_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/IMKIQC, MELDATA, V3
The dataset includes includes observation data about the study CIEN_SA_2023: Chickpea International Elite Nursery for South Asia 2023. The nurseries contain lines that target South Asia environments and are selected for early maturity, Fusarium resistant and high yield breeding l...
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