The Alliance of Bioversity International and CIAT 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 1: Food Environment and Consumer Behavior Dataverse

Research Lever 2: Multifunctional Landscapes Dataverse

Research Lever 3: Climate Action Dataverse

Research Lever 4: Biodiversity for Food and Agriculture Dataverse

Research Lever 5: Digital Inclusion Dataverse

Research Lever 6: Crops for Nutrition and Health Dataverse

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111 to 120 of 276 Results

Stakeholders of the coffee value chain, addressing households´ food insecurity and resilience to climate variation Nov 3, 2023 Rodriguez-Camayo, Fernando; Lundy, Mark; Borgemeister, Christian; Beuchelt, Tina, 2023, "Stakeholders of the coffee value chain, addressing households´ food insecurity and resilience to climate variation", https://doi.org/10.7910/DVN/Z29QGA, Harvard Dataverse, V1, UNF:6:NnmfZ1cwsFEOm06qKvl8Rw== [fileUNF] The survey was a randomized household survey with a 90% confidence level and a 5% precision, stratified per elevation. The sampling included five cooperatives and 348 farm households (from a universe of 716 farming households), collecting data on coffee farmers’ livelihoods, poverty, food insecurity, and income distribution. The survey had conducte...
AVENIR Baseline Study Oct 25, 2023 Cyrus Muriithi, 2023, "AVENIR Baseline Study", https://doi.org/10.7910/DVN/DV0RLJ, Harvard Dataverse, V3, UNF:6:t8pV5viKJN1A6wtlMZ++MQ== [fileUNF] This baseline survey data was collected in Senegal in the regions of Sedhiou and Tambacounda in 2020. It's part of an agricultural development project aimed at improving the well-being and resilience of farming households.
Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis Oct 4, 2023 Job Kihara; Sileshi, Gudeta W.; Bolo, Peter Omondi; Mutambu, Dominic Mwanzia; Sila, Andrew Musili, 2023, "Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis", https://doi.org/10.7910/DVN/SOAWL6, Harvard Dataverse, V1 Human Zn and Fe deficiencies can be reduced through agronomic biofortification, but information on factors influencing maize grain-Zn and -Fe levels remains scant. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) Assesses different agronomic practices’ contributions to increasing maize-grain Zn...
Agroclimatic Indices Dataset for Characterizing Crop Water Requirements, Dry and Wet Spells, Heatwaves, and Water Balance in Agricultural Regions of Angola Sep 27, 2023 Barrios-Perez, Camilo; Sotelo Betancurt, Humberto Steven; Chilambe, Pedro Anglaze; Ramirez-Villegas, Julian, 2023, "Agroclimatic Indices Dataset for Characterizing Crop Water Requirements, Dry and Wet Spells, Heatwaves, and Water Balance in Agricultural Regions of Angola", https://doi.org/10.7910/DVN/BA6QVX, Harvard Dataverse, V1 This database contains spatial information with a 0.05° grid resolution of specific agroclimatic indices for maize, dry beans, soybeans, and coffee regions in Angola. In total, the database comprises 13 agroclimatic indices for each crop, grouped as follows: 1. Dry Conditions Indices: • Number of Dry Days • Number of Dry Spells • Average Length of...
Basil cultivation criteria evaluation Jun 28, 2023 Esponda Bernal, Maria Del Mar; Echeverri-Sanchez, Andres, 2023, "Basil cultivation criteria evaluation", https://doi.org/10.7910/DVN/E0MH2O, Harvard Dataverse, V1, UNF:6:oTEfFmmafvaHBwJ8MkofCg== [fileUNF] Survey data from Basil cultivation criteria evaluation Metodology:Information was collected by means of a structured survey based on AHP methodology and using the Saaty scale for comparative judgments.
Brazil digital tool review for agroecological transitions Jun 21, 2023 Haas Heissler, Gustaco; Estima Lazzari, Helen; Barbosa de Souza, Patricia; Cassiano Costa, Aline; Flores Silveira, Roberta; Dittmer, Kyle Michael; Costa Jr, Ciniro, 2023, "Brazil digital tool review for agroecological transitions", https://doi.org/10.7910/DVN/DXPZ8G, Harvard Dataverse, V1, UNF:6:qUJpreyhIcsDN2BAh1xgXQ== [fileUNF] This document contains a review of digital resources relevant to climate-informed agroecological transitions for the beef cattle sector in Brazil. The purpose of the review was to catalog relevant digital resources for beef cattle production in Brazil and assess their role in inclusive knowledge development, with special attention to farmers’ co-cr...
Europe, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean Jun 9, 2023 Mora, Brayan, 2023, "Europe, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", https://doi.org/10.7910/DVN/YQULMX, Harvard Dataverse, V1 The purpose for which these crop-specific indicators were created is to group or characterize the different accessions available in the Genesys database, considering the climatic data from where they were collected. For this, it is necessary to carry out a characterization of zones based on these specific ones per crop, which are part of evaluating...
Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022 Jun 2, 2023 - SERVIR Amazonia Dataverse Caiza Morales,Lorena, 2023, "Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022", https://doi.org/10.7910/DVN/FJDJSY, Harvard Dataverse, V1 Mangroves are highly productive ecosystems that provide important ecosystem services, are strategic allies in carbon capture and storage, conserve different plant and wildlife species, are producers of aquatic species such as crabs and shrimp, and local communities have developed strong economic, cultural and identity ties. Despite their great ecol...
Crop Management Efficiency: Adaptation of promising crop management technologies to land and production environments in Babati, Tanzania May 12, 2023 Maguta, Job Kihara; Kinyua, Michael Wanjohi; Sila, Andrew Musili, 2023, "Crop Management Efficiency: Adaptation of promising crop management technologies to land and production environments in Babati, Tanzania", https://doi.org/10.7910/DVN/IFQ7BR, Harvard Dataverse, V1, UNF:6:y2OlxMjz1B4FSJQL1KxbgQ== [fileUNF] This study uses maize as the test crop. Maize is the key focus of most studies on crop response to micronutrients in SSA with a limited number of studies on wheat, rice, cowpea, sorghum, and soybean responses. Maize, constituting 45% of the cereal production in SSA in 2014, is the staple food crop (accounting for over 40% of the calories consumed i...
2018-2020-2021 Panel data CSA Monitoring Guatemala and Honduras- demographic, climate, empowerment and social capital modules May 11, 2023 Moreno Bustamante, Manuel Francisco; Howland, Fanny Cecile; Paez Valencia, Ana Maria; Bonilla Findji, Osana Carmela Pilar; Martinez Baron, Deissy; Martinez Salgado, Jesus David; Lopéz, Caludia; Guevara, Melvin; Alvarez-Espinosa, Osman; Eitzinger, Anton, 2023, "2018-2020-2021 Panel data CSA Monitoring Guatemala and Honduras- demographic, climate, empowerment and social capital modules", https://doi.org/10.7910/DVN/OWML6C, Harvard Dataverse, V1, UNF:6:XWyIhjAlapvlX5Y9cUlvkw== [fileUNF] This data set contains responses to surveys conducted with participants of Climate Smart Villages in Honduras and Guatemala for the years 2018-2020-2021. The data includes information at the individual level from surveys conducted with a total of 1,511 individuals throughout the three periods. The data presented has sociodemographic information, ge...

Stakeholders of the coffee value chain, addressing households´ food insecurity and resilience to climate variation

Nov 3, 2023

Rodriguez-Camayo, Fernando; Lundy, Mark; Borgemeister, Christian; Beuchelt, Tina, 2023, "Stakeholders of the coffee value chain, addressing households´ food insecurity and resilience to climate variation", https://doi.org/10.7910/DVN/Z29QGA, Harvard Dataverse, V1, UNF:6:NnmfZ1cwsFEOm06qKvl8Rw== [fileUNF]

The survey was a randomized household survey with a 90% confidence level and a 5% precision, stratified per elevation. The sampling included five cooperatives and 348 farm households (from a universe of 716 farming households), collecting data on coffee farmers’ livelihoods, poverty, food insecurity, and income distribution. The survey had conducte...

AVENIR Baseline Study

Oct 25, 2023

Cyrus Muriithi, 2023, "AVENIR Baseline Study", https://doi.org/10.7910/DVN/DV0RLJ, Harvard Dataverse, V3, UNF:6:t8pV5viKJN1A6wtlMZ++MQ== [fileUNF]

This baseline survey data was collected in Senegal in the regions of Sedhiou and Tambacounda in 2020. It's part of an agricultural development project aimed at improving the well-being and resilience of farming households.

Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis

Oct 4, 2023

Job Kihara; Sileshi, Gudeta W.; Bolo, Peter Omondi; Mutambu, Dominic Mwanzia; Sila, Andrew Musili, 2023, "Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis", https://doi.org/10.7910/DVN/SOAWL6, Harvard Dataverse, V1

Human Zn and Fe deficiencies can be reduced through agronomic biofortification, but information on factors influencing maize grain-Zn and -Fe levels remains scant. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) Assesses different agronomic practices’ contributions to increasing maize-grain Zn...

Agroclimatic Indices Dataset for Characterizing Crop Water Requirements, Dry and Wet Spells, Heatwaves, and Water Balance in Agricultural Regions of Angola

Sep 27, 2023

Barrios-Perez, Camilo; Sotelo Betancurt, Humberto Steven; Chilambe, Pedro Anglaze; Ramirez-Villegas, Julian, 2023, "Agroclimatic Indices Dataset for Characterizing Crop Water Requirements, Dry and Wet Spells, Heatwaves, and Water Balance in Agricultural Regions of Angola", https://doi.org/10.7910/DVN/BA6QVX, Harvard Dataverse, V1

This database contains spatial information with a 0.05° grid resolution of specific agroclimatic indices for maize, dry beans, soybeans, and coffee regions in Angola. In total, the database comprises 13 agroclimatic indices for each crop, grouped as follows: 1. Dry Conditions Indices: • Number of Dry Days • Number of Dry Spells • Average Length of...

Basil cultivation criteria evaluation

Jun 28, 2023

Esponda Bernal, Maria Del Mar; Echeverri-Sanchez, Andres, 2023, "Basil cultivation criteria evaluation", https://doi.org/10.7910/DVN/E0MH2O, Harvard Dataverse, V1, UNF:6:oTEfFmmafvaHBwJ8MkofCg== [fileUNF]

Survey data from Basil cultivation criteria evaluation Metodology:Information was collected by means of a structured survey based on AHP methodology and using the Saaty scale for comparative judgments.

Brazil digital tool review for agroecological transitions

Jun 21, 2023

Haas Heissler, Gustaco; Estima Lazzari, Helen; Barbosa de Souza, Patricia; Cassiano Costa, Aline; Flores Silveira, Roberta; Dittmer, Kyle Michael; Costa Jr, Ciniro, 2023, "Brazil digital tool review for agroecological transitions", https://doi.org/10.7910/DVN/DXPZ8G, Harvard Dataverse, V1, UNF:6:qUJpreyhIcsDN2BAh1xgXQ== [fileUNF]

This document contains a review of digital resources relevant to climate-informed agroecological transitions for the beef cattle sector in Brazil. The purpose of the review was to catalog relevant digital resources for beef cattle production in Brazil and assess their role in inclusive knowledge development, with special attention to farmers’ co-cr...

Europe, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean

Jun 9, 2023

Mora, Brayan, 2023, "Europe, Set of agroclimatic indicators for the identification of abiotic stresses (Base of the subsetting tool), for the following crops: Bean, cassava, banana, wheat, maize, potato, sweet potato, rice, barley, sorghum, pearl millet, cowpea, yam, soybean", https://doi.org/10.7910/DVN/YQULMX, Harvard Dataverse, V1

The purpose for which these crop-specific indicators were created is to group or characterize the different accessions available in the Genesys database, considering the climatic data from where they were collected. For this, it is necessary to carry out a characterization of zones based on these specific ones per crop, which are part of evaluating...

Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022

Jun 2, 2023 - SERVIR Amazonia Dataverse

Caiza Morales,Lorena, 2023, "Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022", https://doi.org/10.7910/DVN/FJDJSY, Harvard Dataverse, V1

Mangroves are highly productive ecosystems that provide important ecosystem services, are strategic allies in carbon capture and storage, conserve different plant and wildlife species, are producers of aquatic species such as crabs and shrimp, and local communities have developed strong economic, cultural and identity ties. Despite their great ecol...

Crop Management Efficiency: Adaptation of promising crop management technologies to land and production environments in Babati, Tanzania

May 12, 2023

Maguta, Job Kihara; Kinyua, Michael Wanjohi; Sila, Andrew Musili, 2023, "Crop Management Efficiency: Adaptation of promising crop management technologies to land and production environments in Babati, Tanzania", https://doi.org/10.7910/DVN/IFQ7BR, Harvard Dataverse, V1, UNF:6:y2OlxMjz1B4FSJQL1KxbgQ== [fileUNF]

This study uses maize as the test crop. Maize is the key focus of most studies on crop response to micronutrients in SSA with a limited number of studies on wheat, rice, cowpea, sorghum, and soybean responses. Maize, constituting 45% of the cereal production in SSA in 2014, is the staple food crop (accounting for over 40% of the calories consumed i...

2018-2020-2021 Panel data CSA Monitoring Guatemala and Honduras- demographic, climate, empowerment and social capital modules

May 11, 2023

Moreno Bustamante, Manuel Francisco; Howland, Fanny Cecile; Paez Valencia, Ana Maria; Bonilla Findji, Osana Carmela Pilar; Martinez Baron, Deissy; Martinez Salgado, Jesus David; Lopéz, Caludia; Guevara, Melvin; Alvarez-Espinosa, Osman; Eitzinger, Anton, 2023, "2018-2020-2021 Panel data CSA Monitoring Guatemala and Honduras- demographic, climate, empowerment and social capital modules", https://doi.org/10.7910/DVN/OWML6C, Harvard Dataverse, V1, UNF:6:XWyIhjAlapvlX5Y9cUlvkw== [fileUNF]

This data set contains responses to surveys conducted with participants of Climate Smart Villages in Honduras and Guatemala for the years 2018-2020-2021. The data includes information at the individual level from surveys conducted with a total of 1,511 individuals throughout the three periods. The data presented has sociodemographic information, ge...

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