Research Lever 6: Crops for Nutrition and Health Dataverse

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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1 to 10 of 13 Results

Bean production areas in sub-Saharan Africa Jul 28, 2020 - CIAT - International Center for Tropical Agriculture Dataverse Farrow, A.; Muthoni-Andriatsitohaina, R.; Ongom, B.; Ojara, M., 2020, "Bean production areas in sub-Saharan Africa", https://doi.org/10.7910/DVN/8W0QK7, Harvard Dataverse, V1, UNF:6:qMkDAr5PGnQnoeiDPaQJGA== [fileUNF] 176 bean production areas were identified and reviewed using a form of the Delphi method of consensus building among experts from almost all bean producing countries of sub-Saharan Africa. Data were collected for: bean production, cropping systems and producers; seed systems; bean use and marketing; bean grain types and varieties; and abiotic and b...
Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand Jun 25, 2020 - The Alliance of Bioversity International and CIAT Dataverse Siriwan, Wanwisa; Jiménez, Jenyfer; Hemniam, Nuannapa; Saokham, Kingkan; Cuellar, Wilmer, 2020, "Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand", https://doi.org/10.7910/DVN/Z5TR2F, Harvard Dataverse, V1, UNF:6:v47oLjxsXGUV4c83qrYVYQ== [fileUNF] Emergent agricultural pathogens cause severe damage worldwide. Standard surveillance and diagnostic protocols need to be evaluated and implemented at regional level, particularly with diseases caused by a wide range of pathogens that can induce similar symptoms. This dataset provides a description of surveillance and diagnostics data for CMD in Tha...
Pig production in Uganda - adapting to climate change Apr 22, 2020 - The Alliance of Bioversity International and CIAT Dataverse Zaake, Paul; Paul, Birthe K.; Marshall, Karen; Notenbaert, An; Ouma, A. Emily; Dionec, Michel M.; Ouma, George O.; Ndambi, Asaah O., 2020, "Pig production in Uganda - adapting to climate change", https://doi.org/10.7910/DVN/KPVH8Q, Harvard Dataverse, V2, UNF:6:0jnJamiuqvncB3m30nlRcw== [fileUNF] There is limited attention to impacts of climate change on pigs in Uganda by stakeholders, despite the potential vulnerability of pigs to climate change. Pigs are sensitive to heat-stress, as they do not have functioning sweat glands as other livestock species do, and have small lungs which reduces their ability to disseminate heat by panting. The...
SNP genotyping results from Intertek Sweden outsourcing service Mar 27, 2020 - CIAT - International Center for Tropical Agriculture Dataverse Raatz, Bodo, 2020, "SNP genotyping results from Intertek Sweden outsourcing service", https://doi.org/10.7910/DVN/HMB1ZO, Harvard Dataverse, V1 Leaf discs were collected in the field and greenhouse and sent to Intertek Sweden for DNA extraction and SNP genotyping. 10 SNPs were evaluated on each sample. Data was used by the breeding program to select lines with favorable alleles.
Replication Data for: Experimental Bean lines selected for tolerance to Drought. 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.
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. 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.
Replication Data for: Genomic prediction of agronomic traits in common bean under environmental stress 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....
Feed gap assessment in Tanzania Southern Highlands through Improved Forages And Feeding Strategies Project Feb 28, 2020 - The Alliance of Bioversity International and CIAT Dataverse Paul, Birthe K.; Nzolega, Beatus; Buyegi, George, 2020, "Feed gap assessment in Tanzania Southern Highlands through Improved Forages And Feeding Strategies Project", https://doi.org/10.7910/DVN/MU3IAL, Harvard Dataverse, V1, UNF:6:qUZctho+50oAZLhorgfE6Q== [fileUNF] Feedgap assessment aims to collect empirical data on feeding quantities and practices in Tanzania. It is standard data collection tool (Excel) has been previously developed for Tanzania, and adjusted after a workshop with TALIRI and CIAT. It is constituted of empirical feed and milk measurements and labour observations, feed sub-sampling, as well a...
Socio-economic baseline survey of selected households for Climate-Smart Dairy systems (CSD) in East Africa through improved forages and feeding strategies project Feb 10, 2020 - The Alliance of Bioversity International and CIAT Dataverse Notenbaert, An; Kihoro, Esther; Osele, Vivien; Nzolega, Beatus; Mukiri, Jessica; Nyakundi, Fridah; Crane, Todd, 2020, "Socio-economic baseline survey of selected households for Climate-Smart Dairy systems (CSD) in East Africa through improved forages and feeding strategies project", https://doi.org/10.7910/DVN/9GBKPW, Harvard Dataverse, V1, UNF:6:SLZfB77nPWCOjwP5qL5vFA== [fileUNF] IFAD CSD baseline dataset contains detailed information about household composition, production systems and activities, land and labour allocation, income from on-farm and off-farm activities, household consumption of food, and assets, land ownership and allocation of activities, with an emphasis on livestock production activities, livestock feedin...
Grass2Cash RHoMIS baseline survey in Ethiopia Feb 7, 2020 - The Alliance of Bioversity International and CIAT Dataverse Paul, Birthe K.; Tigabie, Abiro; Burkart, Stefan; Notenbaert, An, 2020, "Grass2Cash RHoMIS baseline survey in Ethiopia", https://doi.org/10.7910/DVN/WEZ9FF, Harvard Dataverse, V1, UNF:6:uUWnZiQOu+vWnv9LJJ9lNA== [fileUNF] This data was collected using the Rural Household Multi-Indicator Survey (RHoMIS) tool to a conduct baseline survey among 200 households in Ethiopia. The standard RHoMIS tool was extended with a feeding and forage module. The dataset can be used to understand agricultural productivity, food security, income, gender dynamics and livestock feeding an...

Bean production areas in sub-Saharan Africa

Jul 28, 2020 - CIAT - International Center for Tropical Agriculture Dataverse

Farrow, A.; Muthoni-Andriatsitohaina, R.; Ongom, B.; Ojara, M., 2020, "Bean production areas in sub-Saharan Africa", https://doi.org/10.7910/DVN/8W0QK7, Harvard Dataverse, V1, UNF:6:qMkDAr5PGnQnoeiDPaQJGA== [fileUNF]

176 bean production areas were identified and reviewed using a form of the Delphi method of consensus building among experts from almost all bean producing countries of sub-Saharan Africa. Data were collected for: bean production, cropping systems and producers; seed systems; bean use and marketing; bean grain types and varieties; and abiotic and b...

Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand

Jun 25, 2020 - The Alliance of Bioversity International and CIAT Dataverse

Siriwan, Wanwisa; Jiménez, Jenyfer; Hemniam, Nuannapa; Saokham, Kingkan; Cuellar, Wilmer, 2020, "Surveillance and diagnostics dataset on Sri Lankan cassava mosaic virus (Fam. Geminiviridae) and CMD in Thailand", https://doi.org/10.7910/DVN/Z5TR2F, Harvard Dataverse, V1, UNF:6:v47oLjxsXGUV4c83qrYVYQ== [fileUNF]

Emergent agricultural pathogens cause severe damage worldwide. Standard surveillance and diagnostic protocols need to be evaluated and implemented at regional level, particularly with diseases caused by a wide range of pathogens that can induce similar symptoms. This dataset provides a description of surveillance and diagnostics data for CMD in Tha...

Pig production in Uganda - adapting to climate change

Apr 22, 2020 - The Alliance of Bioversity International and CIAT Dataverse

Zaake, Paul; Paul, Birthe K.; Marshall, Karen; Notenbaert, An; Ouma, A. Emily; Dionec, Michel M.; Ouma, George O.; Ndambi, Asaah O., 2020, "Pig production in Uganda - adapting to climate change", https://doi.org/10.7910/DVN/KPVH8Q, Harvard Dataverse, V2, UNF:6:0jnJamiuqvncB3m30nlRcw== [fileUNF]

There is limited attention to impacts of climate change on pigs in Uganda by stakeholders, despite the potential vulnerability of pigs to climate change. Pigs are sensitive to heat-stress, as they do not have functioning sweat glands as other livestock species do, and have small lungs which reduces their ability to disseminate heat by panting. The...

SNP genotyping results from Intertek Sweden outsourcing service

Mar 27, 2020 - CIAT - International Center for Tropical Agriculture Dataverse

Raatz, Bodo, 2020, "SNP genotyping results from Intertek Sweden outsourcing service", https://doi.org/10.7910/DVN/HMB1ZO, Harvard Dataverse, V1

Leaf discs were collected in the field and greenhouse and sent to Intertek Sweden for DNA extraction and SNP genotyping. 10 SNPs were evaluated on each sample. Data was used by the breeding program to select lines with favorable alleles.

Replication Data for: Experimental Bean lines selected for tolerance to Drought.

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.

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.

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.

Replication Data for: Genomic prediction of agronomic traits in common bean under environmental stress

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....

Feed gap assessment in Tanzania Southern Highlands through Improved Forages And Feeding Strategies Project

Feb 28, 2020 - The Alliance of Bioversity International and CIAT Dataverse

Paul, Birthe K.; Nzolega, Beatus; Buyegi, George, 2020, "Feed gap assessment in Tanzania Southern Highlands through Improved Forages And Feeding Strategies Project", https://doi.org/10.7910/DVN/MU3IAL, Harvard Dataverse, V1, UNF:6:qUZctho+50oAZLhorgfE6Q== [fileUNF]

Feedgap assessment aims to collect empirical data on feeding quantities and practices in Tanzania. It is standard data collection tool (Excel) has been previously developed for Tanzania, and adjusted after a workshop with TALIRI and CIAT. It is constituted of empirical feed and milk measurements and labour observations, feed sub-sampling, as well a...

Socio-economic baseline survey of selected households for Climate-Smart Dairy systems (CSD) in East Africa through improved forages and feeding strategies project

Feb 10, 2020 - The Alliance of Bioversity International and CIAT Dataverse

Notenbaert, An; Kihoro, Esther; Osele, Vivien; Nzolega, Beatus; Mukiri, Jessica; Nyakundi, Fridah; Crane, Todd, 2020, "Socio-economic baseline survey of selected households for Climate-Smart Dairy systems (CSD) in East Africa through improved forages and feeding strategies project", https://doi.org/10.7910/DVN/9GBKPW, Harvard Dataverse, V1, UNF:6:SLZfB77nPWCOjwP5qL5vFA== [fileUNF]

IFAD CSD baseline dataset contains detailed information about household composition, production systems and activities, land and labour allocation, income from on-farm and off-farm activities, household consumption of food, and assets, land ownership and allocation of activities, with an emphasis on livestock production activities, livestock feedin...

Grass2Cash RHoMIS baseline survey in Ethiopia

Feb 7, 2020 - The Alliance of Bioversity International and CIAT Dataverse

Paul, Birthe K.; Tigabie, Abiro; Burkart, Stefan; Notenbaert, An, 2020, "Grass2Cash RHoMIS baseline survey in Ethiopia", https://doi.org/10.7910/DVN/WEZ9FF, Harvard Dataverse, V1, UNF:6:uUWnZiQOu+vWnv9LJJ9lNA== [fileUNF]

This data was collected using the Rural Household Multi-Indicator Survey (RHoMIS) tool to a conduct baseline survey among 200 households in Ethiopia. The standard RHoMIS tool was extended with a feeding and forage module. The dataset can be used to understand agricultural productivity, food security, income, gender dynamics and livestock feeding an...

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