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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11 to 20 of 2,689 Results
Tabular Data - 6.0 MB - 1054 Variables, 996 Observations - UNF:6:dlPgTeF8LVJz9n0ZC5CSxQ==
Data
This data incluides 996 samples for acid detergent fiber (ADF) and sample data such as Sample number, Scientific name, common name, family, genotype, external code drying type, part of the plant, country, location and notes.
Tabular Data - 6.0 MB - 1054 Variables, 995 Observations - UNF:6:3wNKaAVs6A3i8DezuJQr0w==
Data
This data incluides 995 samples for in vitro dry matter digestibility (IVDMD) and sample data such as Sample number, Scientific name, common name, family, genotype, external code drying type, part of the plant, country, location and notes.
Tabular Data - 2.8 MB - 1054 Variables, 469 Observations - UNF:6:d7tFHdklnmUqxyydjrhK6w==
Data
This data incluides 469 samples for crude protein (CP) and sample data such as Sample number, Scientific name, common name, family, genotype, external code drying type, part of the plant, country, location and notes.
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...
MS Word - 16.8 KB - MD5: 89bdbb9d7ca4053c327cbd391127aebf
Documentation
ReadMe
Tabular Data - 44.3 KB - 20 Variables, 288 Observations - UNF:6:cqauChS/TVvCeQ2KupmQaA==
Data
Weekly data on stomatal conductance, transpiration, SPAD, and the microclimatic conditions recorded during each measurement
Tabular Data - 5.0 KB - 9 Variables, 72 Observations - UNF:6:UNzGTOhjZ/Smm/pbGphoqg==
Data
Data on relative water content and biomass distribution
Tabular Data - 1.7 KB - 4 Variables, 36 Observations - UNF:6:azzxExdL+o6Ow++pcMnr2Q==
Data
Data on non-structural carbohydrates (NSC) content
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...
MS Excel Spreadsheet - 11.0 KB - MD5: 3dc5262f167ac6f06c5fd2358eb3e301
Documentation
dictionary
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