Proximal Sensing for Modeling Development Curves and Accelerated Breeding of Climate Resilient Crop Varieties
New proximal sensing technologies such as aerial imaging have provided a source of rich information for evaluating the genetic merit of different crop varieties and breeding lines. This project aims to gather a critical mass of proximal sensing data across several important crop species in contrasting environments to build the methods, models, and software necessary to deploy proximal sensing-informed breeding decision making.
Learn more: FFAR Grant Accelerates Climate Resilient Crop Breeding
Feed the Future Innovation Lab for Crop Improvement
This project aims to equip National Agricultural Research Institutes with the power to define their unique goals and drive advancement in crop improvement to reduce malnutrition, hunger and provide equitable benefits to women and youth.
Learn more: ILCI
Excellence in Breeding Platform
Through the Excellence in Breeding Platform the CGIAR intends to modernize breeding programs targeting the developing world for greater impact on food and nutrition security, climate change adaptation and development.
Drawing from innovations in the public and private sector, the Platform will provide access to cutting-edge tools, services and best practices, application-oriented training and practical advice.
Learn more:Excellence in Breeding Platform
Selective Breeding Technologies for Scalable Offshore Seaweed Farming
The project aims to develop tools to identify and breed superior sugar kelp cultivars to improve the production of seaweed cultivation in the U. S.
Learn more: Fueling the Future
The Breeding API (BrAPI) Project
The Breeding API specifies a standard interface for plant phenotype/genotype databases to serve their data to crop breeding applications. It is a shared, open API, to be used by all data providers and data consumers who wish to participate.
Learn more: BrAPI