Nigerian Govt Adopts Unified Protocols to Protect Livestock Genetic Resources

The Nigerian government has taken a significant step towards safeguarding its valuable animal genetic resources by adopting harmonized national protocols. This move, disclosed by the Livestock Ministry, underscores a commitment to improving livestock breeding practices, preventing the extinction of indigenous breeds, and enhancing the quality of data used for policymaking. The validation of these protocols at a national workshop in Abuja signifies a collaborative effort involving a wide range of stakeholders, including genetic experts, researchers, policymakers, livestock breeders, development partners, and private-sector representatives. The adoption of these protocols is crucial for Nigeria's livestock sector, as it provides a framework for the characterization, inventory, and monitoring of animal genetic resources. This will enable the country to make informed decisions regarding breeding objectives, conservation programs, and interventions to mitigate the risks of genetic erosion. The initiative also includes the proposed Nigerian Domestic Animal Diversity Information System (NigDAD-IS) and an Animal Genetic Resources dashboard, which will improve data analytics and interoperability with global platforms. The Minister of Livestock Development, Idi Maiha, emphasized the importance of accurate baseline data and continuous monitoring systems for strengthening Nigeria's livestock breeding systems and preserving indigenous breeds. The Food and Agriculture Organization (FAO) has reaffirmed its commitment to supporting Nigeria's livestock transformation agenda through technical collaboration, highlighting the international recognition of Nigeria's efforts in this critical area.

“

Stakeholders in Nigeria’s livestock sector have validated a set of harmonised national protocols aimed at strengthening the characterisation, inventory, and monitoring of Animal Genetic Resources (AnGR) in the country, as part of ongoing efforts to improve livestock breeding, conservation, and data-driven policymaking.