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.

Research Lever 6: Crops for nutrition and health : Putting nutrition and health at the heart of crop improvement to address the triple burden of malnutrition.
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21 to 30 of 174 Results
Mar 27, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Raatz, Bodo; Beebe, Stephen, 2020, "Replication Data for: Experimental Bean lines selected for tolerance to Drought.", https://doi.org/10.7910/DVN/EZBQBF, Harvard Dataverse, V1
Experimental Bean lines selected for tolerance to Drought. These lines will be sent to collaborators in Central America and Africa to be evaluated under their local conditions. Yield in Kg / Ha with and without drought stress was evaluated.
MS Word - 230.4 KB - MD5: 168bca22367d61066b0042463c30f0e5
MS Excel Spreadsheet - 452.5 KB - MD5: c268d22c1a71ef04f0b4e0e0e5d35ac0
Mar 27, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Raatz, Bodo; Beebe, Stephen, 2020, "Replication Data for: Bean experimental lines selected for tolerance to Drought, high temperatures, low P in the soil, high aluminum in the soil and high content of Fe / Zn in grain.", https://doi.org/10.7910/DVN/CDBHQW, Harvard Dataverse, V1, UNF:6:NHJciOBk9XK3behaGOqAJw== [fileUNF]
Bean experimental lines selected for tolerance to Drought, high temperatures, low P in the soil, high aluminum in the soil and high content of Fe / Zn in grain. These lines will be sent to collaborators in Central America and Africa to be evaluated under their local conditions. Yield in Kg / Ha and Fe / Zn content in mg / Kg were evaluated.
Mar 24, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Keller, Beat; Ariza-Suarez, Daniel; De la Hoz, Juan; Aparicio, Johan Steven; Portilla Benavides, Ana Elisabeth; Buendia, Hector Fabio; Mayor, Victor Manuel; Studer, Bruno; Raatz, Bodo, 2020, "Replication Data for: Genomic prediction of agronomic traits in common bean under environmental stress", https://doi.org/10.7910/DVN/XCD67U, Harvard Dataverse, V1, UNF:6:2ucpalum7jucY0dQs56Z3A== [fileUNF]
These datasets contain phenotypic and genotypic data of a panel of elite Andean breeding lines of common bean (Phaseolus vulgaris L.) from CIAT. This population has been tested in twelve yield trials carried out in Palmira and Darien (Colombia) between 2013 and 2018 to assess its performance under irrigated, drought and variable soil P conditions....
Tabular Data - 1.3 KB - 2 Variables, 10 Observations - UNF:6:wQ+6KynAuO0WqYMy6g6HiA==
Tabular Data - 353.8 KB - 10 Variables, 3551 Observations - UNF:6:Sg+leovjjWAPaFgLab8jpw==
Tabular Data - 982 B - 2 Variables, 13 Observations - UNF:6:5La2CgFIHi4m+dxv/MQa/g==
Tabular Data - 60.9 KB - 13 Variables, 984 Observations - UNF:6:4bf4NFXyGxbUk6gVAcZm6w==
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