Publications

AICCRA/GMet Farmers Community Engagement
Training Material

AICCRA/GMet Farmers Community Engagement

Martey F, Opoku NK, Lazia JZ. 2023. AICCRA/GMet Farmers Community Engagement. AICCRA Training Material. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).
Scientific Publication

Wastewater irrigation and perceptions in urban and periurban Kumasi Ghana

Gane, J., Bakang, J.A., Takyi, H., Obiri-Danso, K. and Abaidoo, R.C. 2008. Wastewater irrigation and perceptions in urban and periurban Kumasi, Ghana. IN: Humphreys, E. et al. (eds). 2008. Fighting poverty through sustainable water use: Proceedings of the CGIAR Challenge Program on Water and Food 2nd International Forum on Water and Food. Volume 1. Colombo, Sri Lanka: The CGIAR Challenge Program on Water and Food: 38-41.
Pioneering fish genetic resource management and seed dissemination programmes for Africa: adapting principles of selective breeding to the improvement of aquaculture in the Volta Basin and surrounding areas
Report

Pioneering fish genetic resource management and seed dissemination programmes for Africa: adapting principles of selective breeding to the improvement of aquaculture in the Volta Basin and surrounding areas

Bartley, D.M.; Brummett, R.; Moehl, J.; Ólafsson, E.; Ponzoni, R.; Pullin, R.S.V. (eds.). (2007). Pioneering fish genetic resource management and seed dissemination programmes for Africa: adapting principles of selective breeding to the improvement of aquaculture in the Volta Basin and surrounding areas. FAO. Rome. 194 p
Dataset / Tabular

Replication Data for: Demand for seafood safety and environmental sustainability certification standards in sub-Saharan Africa: the case of Nigeria

Shikuku, Kelvin Mashisia; Tran, Nhuong; Pincus, Lauren; Hoffmann, Vivian; Lagerkvist, Carl Johan; Akintola, Shehu Latunji; Fakoya, Kafayat Adetoun, 2020, "Replication Data for: Demand for seafood safety and environmental sustainability certification standards in sub-Saharan Africa: the case of Nigeria", https://doi.org/10.7910/DVN/SXQKZ0, Harvard Dataverse, V2, UNF:6:95MncRslm5y5BApb4X2Uew== [fileUNF]