Applied Research and Innovation Systems in Agriculture (ARISA) was implemented by CSIRO in collaboration with Indonesian partners. This multi-year program seeks to strengthen collaboration between public research organisations and agribusinesses in order to incubate and deliver technology and business solutions appropriate to smallholder farmers. The geographic focus of the program was Eastern Indonesia.

The CGIAR is currently in a state of transition from its historical role in addressing defined agricultural technology problems, to engagement with strategic partnerships addressing systemic change challenges of the type defined by the Sustainable Development Goals (SDGs). This review explores good practice in multi-stakeholder partnerships (MSPs). Its purpose is to assist the CGIAR in identifying effective practices and strategies in the rapidly evolving context of stakeholders and global development initiatives.

The purpose of the study was to try and get a snapshot of broad patterns and trends, identify emerging issues that warrant further investigation and, more importantly, use these initial findings to start a wider discussion on business-led innovation and the SDGs, and the pathway for accelerating this.The survey was sent out to all members of Global Initiatives Responsible Business Forum (RBF) Network in November 2016.

ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia. 

Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.

Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.

- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.

Digital platform enhances genetic progress in community-based sheep and goat breeding programs in Ethiopia:

- Up-to-date information on estimated breeding values and animal rankings is directly channeled to breeder organizations and used for selection decisions.

- The digital platform motivated use of more complicated evaluation models which improve accuracy of breeding values considerably.

- When upscaled, this will help create a permanent multi-country source of information.