To achieve these goals, GEN4OLIVE fosters a 3-part multidisciplinary strategy split into 11 Work Packages (WP).
This section lays down the foundation for subsequent activities. It encompasses a profound research and data collection and processing on the topic, while at the same time identifying key actors (i.e. breeders and farmers) needs and clustering with other related projects/initiatives. To favour coordination between end-users, we will develop harmonised protocols for the Germplasm Banks laying the groundwork for the next steps.
This section is the technical core of the project. To address the challenges related to the Olive GenRes exploitation to speed-up pre-breeding activities, we will build a powerful and user-friendly interface implementing, for the first time, the Machine Learning technology in the olive sector. To enhance breeders and growers’ participation, we will launch two targeted calls for supporting pre-breeding activities.
This section sets out to ensure a lasting legacy of the project. For the GEN4OLIVE impact to be real, it is necessary not only that its results are widely spread, but that we proactively seek to involve main stakeholders in the project. This will be done through a series of co-creation and capacity building activities, which will allow us to trigger our results, enabling that GEN4OLIVE and its effects continue beyond the end of the project.
This project has received
funding from the European
Union’s Horizon 2020 research
and innovation programme
under grant agreement No. 101000427
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