GOBII is the first large-scale public-sector effort to systematically apply high-density genotypic information to the breeding of staple crops in the developing world. The project will develop and implement genomic data managment systems to enhance the capacity of public sector breeding programs to deliver increased rates of genetic gain. Efforts will initially be focused on rice, wheat, maize, sorghum and chickpea in South Asia and Sub-Saharan Africa. The genomic data management systems will include databases, imputation systems, and decision support tools for plant breeders.
To work closely with CG Centers to develop open-source computational infrastructure and analysis capabilities, enabling the implementation of genomic and marker assisted selection as part of routine breeding programs for staple crops in the developing world.
Effective deployment of genomic information in breeding programs has the potential to significantly increase genetic gain in key crop performance traits. This can lead to staple crop varieties with improved yields and better adaption to growing conditions in South Asia and Sub-Saharan Africa, bringing us closer to providing a sustainable and reliable food supply.