2024-03-132024-03-132023https://hdl.handle.net/10883/23101CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purposeAGRICULTURAL SCIENCES AND BIOTECHNOLOGYEmpowering breeding resources dynamic strategies for effective capacity buildingAbstractCapacity building (CB) for breeding involves activities to improve the abilities of individuals, organizations, or communities to achieve their objectives. This includes providing breeding entities with knowledge, tools, and support like programs, workshops, mentorships, and technology adoption. The dynamic nature of CB means it's adaptable, flexible, and forward-thinking, capable of addressing changing circumstances, emerging technologies, and new challenges. In Africa, capacity building emerges as a critical endeavour to foster sustainable development and address multifaceted challenges. These strategies should be flexible but capable of evolving to stay relevant and practical. Effective CB requires research, innovation, technology adoption, and ethical awareness tailored to the specific needs. Engaging local communities, especially in sustainable agriculture and conservation, is vital for long-term sustainability. In Africa, the ABI and BRI platforms aim to leverage the continent's potential, empowering marginalized areas, promoting governance and entrepreneurship, and adapting to global trends. The report 'Technical Assistance for Strengthening Capacity in Using Digital Sequence Information' (Box 1, Box 2) outlines four years of efforts. Details are on https://excellenceinbreeding.org/module3 and case studies (Hunt et al., 2021; Garcia-Oliveira et al., 2021, 2022). Additional training includes data management and analysis, costing, genetic gain analysis as well access to e-learning platforms. Incremental results will be presented and discussed. To conclude, dynamic CB strategies enhance breeder and molecular breeder skills, cost effective operations, and drive sustainable agriculture, resilience to climate change, and food security through knowledge sharing and exposure to cutting-edge techniques. Building upon these past achievements and embracing the dynamic nature of CB will undoubtedly lead to other breakthroughs and impactful contributions to global agriculture and food systems as we move forward.CAPACITY DEVELOPMENTSUSTAINABLE AGRICULTURECLIMATE CHANGEOpen AccessInstitutional