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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1 to 10 of 276 Results
Climate Security Programming Dashboard for Climate Finance (CSPDxCF): dataset on compound risk exposure
May 27, 2025
Scartozzi, Cesare Marco, 2025, "Climate Security Programming Dashboard for Climate Finance (CSPDxCF): dataset on compound risk exposure", https://doi.org/10.7910/DVN/LSX6FD, Harvard Dataverse, V1, UNF:6:v/32Ya7vmzbNOLLDr5+Opg== [fileUNF]
Developed to support the Climate Security Programming Dashboard for Climate Finance (CSPDxCF), an all-in-one solution for preliminary conflict-sensitive assessments and tailored guidance, targeting projects funded by international financial institutions and climate funds. See CSPD website for more details (https://cspd.cso.cgiar.org) Methodology: R...
Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery
Apr 28, 2025
Ruiz-Hurtado, Andres Felipe; Camelo-Munevar, Rodrigo Andres; Arrechea-Castillo, Darwin Alexis; Jauregui, Rosa Noemi; Cardoso Arango, Juan Andres, 2025, "Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery", https://doi.org/10.7910/DVN/DBGUFW, Harvard Dataverse, V1
This dataset contains orthomosaics and individual Regions of Interest (ROIs) of forage grasses in crop fields from experimental trials of CIAT’s tropical forages breeding program; and annotations in Common Objects in Context (COCO) format derived from that data. The ROIs were manually annotated on UAV imagery and exported in common objects in conte...
Near-Infrared Spectroscopy and Wet Chemistry Dataset for Forage Nutritional Quality Assessment in Urochloa humidicola
Apr 16, 2025
Camelo Munevar, Rodrigo Andres; Cardoso Arango, Juan Andres; Jauregui, Rosa Noemi; Espitia Buitrago, Paula Andrea; Mazabel Parra, Lady Johanna, 2024, "Near-Infrared Spectroscopy and Wet Chemistry Dataset for Forage Nutritional Quality Assessment in Urochloa humidicola", https://doi.org/10.7910/DVN/XPNIQY, Harvard Dataverse, V3, UNF:6:6nNxExBTq2TOHSSzwqMApA== [fileUNF]
Attributes such as the nutritional quality of pastures are characteristics that can be used to select better pastures and thus obtain a greater amount of meat and milk from livestock feed. However, the laboratory analytical method by which it is calculated is not cost effective in trials with a large number of plants, so developing methods that all...
Dataset on Effect of clonal integration on drought and waterlogging response in Urochloa humidicola
Apr 9, 2025
Cardoso Arango, Juan Andres; Mayorga Cobos, Mildred Julieth, 2025, "Dataset on Effect of clonal integration on drought and waterlogging response in Urochloa humidicola", https://doi.org/10.7910/DVN/66P5MD, Harvard Dataverse, V1, UNF:6:h+vzg5lskY098k7RDmXPUQ== [fileUNF]
Clonal integration enables the translocation of resources such as water, nutrients, and photosynthates among individual subunits of clonal plants, facilitating adaptation to diverse environmental conditions, including drought and waterlogging. Urochloa humidicola CIAT 679 (cv. Tully) exhibits strong adaptation to these abiotic stresses and propagat...
Replication for: Single torradovirus infections explain the mysterious cassava frogskin disease in the Americas
Apr 9, 2025
Jimenez Polo, Jenyfer; Caicedo Hidalgo, Sara Maria; Pardo Garcia, Juan Manuel; Gil Ordoñez, Alejandra; Alvarez Quinto, Robert Alexander; Mollov, Dimitre; Cuellar, Wilmer Jose, 2025, "Replication for: Single torradovirus infections explain the mysterious cassava frogskin disease in the Americas", https://doi.org/10.7910/DVN/HFVOA8, Harvard Dataverse, V1, UNF:6:ZNQOO/Q4mtRGH1c8e0gm5Q== [fileUNF]
Sentinel cassava plants were exposed to high disease pressure in the field to promote root symptom expression. After visual inspection, symptomatic plants were propagated in a screenhouse for a second growth cycle. Molecular analyses, including RT-PCR and HTS, were conducted to identify associated pathogens and investigate their link to cassava fro...
Surveillance of Cassava Frogskin Disease in Cassava Plantations in Meta, Colombia
Apr 7, 2025
Pardo Garcia, Juan Manuel; Caicedo Hidalgo, Sara Maria; Jimenez Polo, Jenyfer, 2025, "Surveillance of Cassava Frogskin Disease in Cassava Plantations in Meta, Colombia", https://doi.org/10.7910/DVN/OPVM6L, Harvard Dataverse, V1
This dataset contains field monitoring data of Cassava Frogskin Disease collected in Meta, Colombia. Each record includes geographic coordinates (latitude and longitude), administrative information (department and municipality), date of sampling, and visual assessment indicating the presence or absence of disease symptoms on cassava roots. Methodol...
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2021-2040.
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2021-2040.
Mar 19, 2025
Mora Argoti, Brayan Alexander, 2025, "Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2021-2040.", https://doi.org/10.7910/DVN/JO152J, Harvard Dataverse, V1
The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenar...
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP5-8.5, for the Period 2041-2060.
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP5-8.5, for the Period 2041-2060.
Mar 19, 2025
Mora Argoti, Brayan Alexander, 2025, "Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP5-8.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/Q7ROPZ, Harvard Dataverse, V1
The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenar...
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP5-8.5, for the Period 2021-2040.
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP5-8.5, for the Period 2021-2040.
Mar 19, 2025
Mora Argoti, Brayan Alexander, 2025, "Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP5-8.5, for the Period 2021-2040.", https://doi.org/10.7910/DVN/LJQVLD, Harvard Dataverse, V1
The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenar...
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.
Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.
Mar 19, 2025
Mora Argoti, Brayan Alexander, 2025, "Europe - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2041-2060.", https://doi.org/10.7910/DVN/L9IDGH, Harvard Dataverse, V1
The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenar...
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