This Atlas is part of DCL’s effort to set research and development program priorities. The objective is to include the geographic dimensions of DCL crop production in our overall crop and dryland systems improvement research and development. Most of the data is public domain and available online. We expect to update this Atlas in the future when new data comes available. We are especially interested in new information on biotic constraints to DCL crop production. We welcome your feedback and suggestions about how we can improve this online resource
A decision tree algorithm was employed to refine Cropland Data Layer (CDL) using spatial and tempora...
Maize (Zea mays L) is cultivated under a broad range of climatic conditions in West and Central Afri...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
Population growth and climate change threatens the world’s capacity to produce food into the future....
The CGIAR Research Program (CRP) on Dryland Cereals and Legumes Agri-Food Systems (DCL AgriFood Syst...
Dryland cereals and legumes are important crops in farming systems across the world. Yet they are ...
Dryland cereal and legume crops have often received less attention than maize, wheat and rice in ter...
This data set characterizes dryland systems and cereal and legume crops (Hyman et al., 2016). The da...
This data set characterizes dryland systems and cereal and legume crops (Hyman et al., 2016). The da...
The CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC) is an international consortiu...
CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC) - Plan of Work and Budget for 201
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
PRIFPRI3; CRP7EPTDCGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS
Annual progress report 2013: CGIAR Research Program on Dryland Cereals (Dryland Cereals
DCL is supported by an annual budget of $105 MM in 2017 under the base budget scenario. This amount ...
A decision tree algorithm was employed to refine Cropland Data Layer (CDL) using spatial and tempora...
Maize (Zea mays L) is cultivated under a broad range of climatic conditions in West and Central Afri...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
Population growth and climate change threatens the world’s capacity to produce food into the future....
The CGIAR Research Program (CRP) on Dryland Cereals and Legumes Agri-Food Systems (DCL AgriFood Syst...
Dryland cereals and legumes are important crops in farming systems across the world. Yet they are ...
Dryland cereal and legume crops have often received less attention than maize, wheat and rice in ter...
This data set characterizes dryland systems and cereal and legume crops (Hyman et al., 2016). The da...
This data set characterizes dryland systems and cereal and legume crops (Hyman et al., 2016). The da...
The CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC) is an international consortiu...
CGIAR Research Program on Grain Legumes and Dryland Cereals (GLDC) - Plan of Work and Budget for 201
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...
PRIFPRI3; CRP7EPTDCGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS
Annual progress report 2013: CGIAR Research Program on Dryland Cereals (Dryland Cereals
DCL is supported by an annual budget of $105 MM in 2017 under the base budget scenario. This amount ...
A decision tree algorithm was employed to refine Cropland Data Layer (CDL) using spatial and tempora...
Maize (Zea mays L) is cultivated under a broad range of climatic conditions in West and Central Afri...
RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Exten...