The Alliance of Bioversity International and CIAT

Today’s global challenges of poverty, malnutrition, climate change, land degradation, and biodiversity loss call for new research, solutions, innovations, and stronger partnerships that can deliver higher impact. To respond to these challenges, and building on their complementary mandates and long collaboration, Bioversity International and the International Center for Tropical Agriculture (CIAT) have joined forces to create an Alliance.

The Alliance delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people’s lives.

To do so, the Alliance works with local, national and multinational partners across Latin America and the Caribbean, Asia and Africa, and with the public and private sectors. With partners, the Alliance generates evidence and mainstreams innovations in large-scale programmes to create food systems and landscapes that sustain the planet, drive prosperity and nourish people.

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71 to 80 of 269 Results
Aug 2, 2024
Perez Bolanos, Juliana, 2024, "Geospatial database of livestock producers in Colombia", https://doi.org/10.7910/DVN/CHECU8, Harvard Dataverse, V1
The GDB collects and analyses geospatial and descriptive data on livestock producers in Caquetá participating in sustainable practices of the Rutas PDET project. It includes information on the location of farms in La Montañita, El Paujil, San Vicente del Caguán and Puerto Rico, areas of implementation of sustainable livestock technologies, and prod...
Jul 3, 2024
Rosenstock, Todd Stuart; Steward, Peter Richard; Joshi, Namita; Lamanna, Christine; Namoi, Nictor; Akinleye, Akinwale; Atieno, Erica; Bell, Patrick; Champelle, Clara; English, William; Eyrich, Anna-Sarah; Gitau, Angela; Kagwiria, Dorcas; Kamau, Hannah; Madalinska, Anna; Manda, Lucas; Mumo, Elijah Mustoki; Ombewa, Babra Vivian Adhiambo; Poultouchidou, Anatoli; Richards, Meryl; Shuck, Julia; Ström, Helena, 2024, "Evidence for Resilient Agriculture Dataset v1.0.1", https://doi.org/10.7910/DVN/C3YBNN, Harvard Dataverse, V1, UNF:6:OdVt7eK/Oahu/luvH42xiA== [fileUNF]
The Evidence for Resilient Agriculture (ERA v1.0.1) dataset contains112,859 observations from 2,011 agricultural studies conducted in Africa from 1934 to 2018. ERA examines the efficacy of 363 practice combinations on 87 environmental, social, and agricultural-economic outcome indicators. Observations are geolocated and can be linked to opensource...
Jul 2, 2024
Correa Abondano, Miguel Angel; Ospina, Jessica; Carvajal-Yepes, Monica; Wenzl, Peter, 2024, "Sampling Strategies for Genotyping Common Bean (P. vulgaris) Genebank Accessions with DArTseq: A Comparison of Single Plants, Multiple Plants, and DNA Pools", https://doi.org/10.7910/DVN/MQCSC4, Harvard Dataverse, V2, UNF:6:YrMWzhwOlG9OSIEAsYhdGg== [fileUNF]
Genotyping large-scale gene bank collections requires an appropriate sampling strategy to represent the diversity within and between accessions. A panel of 44 common bean (Phaseolus vulgaris L.) landraces from the Alliance Bioversity and CIAT gene bank, was genotyped with DArTseq using three sampling strategies: a single plant per accession (random...
Jun 25, 2024
SANCHEZ, A. C.; LAMANNA, C.; JONES, S. K., 2024, "Holistic Localized Performance Assessment for Agroecology (HOLPA) survey", https://doi.org/10.7910/DVN/EIRW1G, Harvard Dataverse, V2
The farm-household level HOLPA involves an interview, and fieldwork surveys, ideally conducted jointly with the household head. The interview survey collects data on context, adherence to agroecology principles, and agronomic, environmental, economic, and social performance. The fieldwork survey provides an on-site assessment of respondent and farm...
Jun 21, 2024
CGIAR, focus Climate Security, 2024, "Cross-border displacement", https://doi.org/10.7910/DVN/XO8AOS, Harvard Dataverse, V1
This dataset consists of the total number of displaced populations across countries during the period 2012 to 2022. Data were sourced from UNHCR data finder, then aggregated for this time period.
Jun 21, 2024
CGIAR, focus Climate Security, 2024, "Merged conflict dataset", https://doi.org/10.7910/DVN/GQ60G9, Harvard Dataverse, V1, UNF:6:XcjjWoZ//SzlJHkNcnuG5Q== [fileUNF]
This dataset consists of merged conflict events that were sourced from ACLED (the Armed Conflict Location and Event Data Project) and UCDP-GED (Uppsala Conflict Data Program’s Georeferenced Event Dataset). Conflict events were merged daily at 3km spatial resolution. Period covered: 1981 to 2023. Countries covered: Mozambique, Togo, Haiti, Libya, Pa...
Jun 21, 2024
CGIAR, focus Climate Security, 2024, "Global climate hazard indices: heat, drought, flood and compound", https://doi.org/10.7910/DVN/9EZFYV, Harvard Dataverse, V1
This dataset contains raster files of climate hazard indices at a 0.7° spatial resolution, globally. Climate hazards consist of (1) heat hazard, (2) flood hazard, (3) drought hazard, (4) compound hazard which takes into account the co-occurring effects of heat, flood and drought. The climate hazards are given for a baseline period (spanning 1981 to...
Jun 20, 2024
Cardoso Arango, Juan Andres; Arrechea-Castillo, Darwin Alexis; Estupinan Arboleda, Ronald David; Escobar Graciano, Miller, 2024, "Top View RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications", https://doi.org/10.7910/DVN/U0KL6Y, Harvard Dataverse, V2
This dataset comprises 2400 raw RGB images of Urochloa hybrids captured from top view perspective, providing a valuable resource for high-throughput phenotyping (HTP) and artificial intelligence (AI) applications. A subset of 255 images has been meticulously annotated with polygons to identify racemes, resulting in a total of 22340 annotations orga...
Jun 12, 2024
Espitia Buitrago, Paula Andrea; Ruiz Hurtado, Andres Felipe; Hernandez Mahecha, Luis Miguel; Jauregui, Rosa Noemi; Cardoso Arango, Juan Andres, 2024, "Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses", https://doi.org/10.7910/DVN/EGUVHA, Harvard Dataverse, V1, UNF:6:dpYJ4JVK1JSFxZElko7/9g== [fileUNF]
This dataset comprises 8,318 images including Urochloa spp. and Megathyrsus maximus experimental units. The dataset is a resource for validating the current plant damage quantification technique for repeatability, and for training machine learning algorithms to identify, classify or quantify plant damage caused by biotic and abiotic stress with sim...
May 30, 2024
Delaquis, Erik; Mienmany, Bandit; Slavchevska, Vanya Mihova; Almekinders, Conny J. M.; Newby, Jonathan Craig; Sareth, Chea; Tanthapone, Chanpasouk; Struik, Paul C., 2024, "Higher farmer willingness to pay for quality cassava (Manihot esculenta Crantz) planting materials: evidence from experimental auctions in Cambodia and Lao PDR. Replication data including socioeconomic survey and experimental auction results", https://doi.org/10.7910/DVN/JMEIAB, Harvard Dataverse, V1, UNF:6:AQLYlVpzo+oDzb/QtGenjQ== [fileUNF]
Data includes paired socioeconomic survey responses and results from experimental auctions for cassava planting material in Cambodia (4 provinces, N=321) and Lao PDR (5 provinces, N=391). This information was gathered to measure farmer demand / willingness to pay for different classes of cassava planting material with different traits. The goal of...
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