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Bioversity International is a global research-for-development organization. We have a vision – that agricultural biodiversity nourishes people and sustains the planet.
We deliver scientific evidence, management practices and policy options to use and safeguard agricultural and tree biodiversity to attain sustainable global food and nutrition security.
We work with partners in low-income countries in different regions where agricultural and tree biodiversity can contribute to improved nutrition, resilience, productivity and climate change adaptation.
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Management of Nere (Parkia biglobosa) in farmers’ fields in Burkina Faso (West Africa)
Parkia biglobosa (Fabaceae-Mimosoideae) is one of the most important and widespread trees in
agroforestry systems from Senegal to Uganda. The National Tree Seed Center (CNSF) of Burkina
Faso has developed a breeding and improvement program for this multipurpose tree. To better
conserve and promote the best reproductive materials for domestication, it is important to
understand how farmers perceive and manage the species in their fields. Farmers appear to have
Management of Parkia biglobosa in the field of farmers in selected sites in Burkina Faso
Parkia biglobosa is ranked as one of the most important agroforestry multipurpose tree species in Sahelo-Sudanian zone. The National Tree Seed Center (CNSF) of Burkina Faso has been involved in a breeding programme of this species for many years and has already conducted several research activities (eg. germplasm collection, provenance trials establishment, selection of the best promising trees for propagation). To better conserve and guide the breeding program, it is important to understand how farmers perceive and manage the species in their fields.
Measures for interoperability of phenotypic data: minimum information requirements and formatting
Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be fostered by reusing and combining existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata.
