SKIN is an ambitious initiative of 20 partners in 14 countries in the area of Short Food Supply Chains (SFSCs). It intends to systematise and bring knowledge to practitioners, promote collaboration within a demand-driven innovation logic and provide inputs to policymaking through links to the EIP-AGRI. SKIN will build and animate a community of about 500 stakeholders, with the strategic objective of setting up, at the conclusion of the project, a European association permanently working for the improvement of SFSCs efficiency and for the benefit of stakeholders and growth in the sector. The community will be built and animated around the identification of good practices in short supply chains across Europe. Partners will scout, analyse and classify a significant number of cases in different countries. “Best practices” (at least 100) will be systematised, processed into highly usable formats (including video and page-flows) and made accessible to stakeholders via the web (following the EIP AGRI formats) and through the set-up of regional nodes, to allow a deeper penetration of existing knowledge into practice. The work on good practices will also allow identifying key issues (hindrances or opportunities) around SFSCs. Such issues will be the main themes of 6 “innovation challenges workshops” the purpose of which is to stimulate stakeholders to propose new ideas for innovation based research or innovation uptake. These will be supported in a coaching phase where consortium partners deliver guidance to stakeholders for the full development of those innovative ideas. SKIN puts significant efforts in dissemination, to reach as many stakeholders as possible, and exploitation, to plan post projects developments in the form of a permanent association that would give continuity to the activities launched with the project (community expansion, circulation of good practices, promotion of research based innovation and linkages with the EIP and policy making instances).

In the wake of the Digitising Europe Industry initiative, the DIVA project aims at providing support to the emergence and development of new industrial digitech value chains with applications to the Agrofood sector and related sectors forestry and environment. The focus is on digital marketplaces, big data, cloud, robotics & artificial intelligence, cyber-physical systems, IoT and digital/electronic/photonic components. These new technologies bring new perspectives, either to fulfil existing needs from applications sectors or to imagine new services and products. This particularly fertile framework is favourable to cross-sectorial fertilisation between digital industries, applications sectors and other emerging industries such as creative, experience industries, etc. The DIVA project concept relies on the creation of open-spaces in order to boost cross-fertilisation between SMEs, stakeholders from the application sectors and operators of the digital economy. Direct and Indirect support to SMEs will be provided in order to accelerate new ideas all along the innovation chain, from idea emergence up to the demonstration and the internationalization stages with a focus on the creation of new value chains. The consortium of the DIVA project is composed of 10 partners from 6 countries (France, Spain, Portugal, Italy, Greece, Ireland) representing 9 European regions, all strongly involved in digitising initiatives for Agrofood, forestry and environment.The partnership combines skills and competences of both digital and application sectors, and in order to join the capabilities of clusters and RTD performers. The partners and the actions planed in the DIVA project will be anchored in the regional contexts with an expected leverage effect with RIS3 axis actions, and with an ambition towards value creation at the EU level.

FORADVISE will develop a European network of forest advisory organisations, actors, and networks, to support the modernisation of the forestry sector, and advance towards EU and national policy targets. It will speed up knowledge flows, increase the competences of forest advisors beyond traditional areas of advice, and develop pathways towards a future Forest Knowledge and Innovation System (FOKIS) in Europe. Its ultimate goal is to advance towards more resilient, multifunctional, and productive forests in Europe. To achieve this, FORADVISE, creates a EU forest advisory network on forestry, and animates an iterative knowledge sharing process, combining national and international action, and implements knowledge transfer pilots to adapt advisory practices to new contexts. It develops training modules, contextualising well proven approaches and materials, delivering them through a MOOC. It develops a Cost Benefit Analysis toolkit to increase advisors’ capacities to assess social and economic implications. Lessons learned are the basis for a systematic engagement of policy makers, to create feasible and desirable pathways for the development of forest advisory systems in Europe, and to integrate forest advisors into the Member States’ AKIS. All these activities are supported by an analysis of the Forest Knowledge and Innovation Systems, and the needs and preferences of its different actors. Project activities are supported with dedicated communication and dissemination activities, and exploited through tailored impact pathways, including a digital knowledge platform. As the project advances, a smooth transition towards a self-sustained network is embedded into project activities. A dedicate task identifies working modalities and business models for the long-term continuation of the network, building upon the experience of the FOREXT initiative. FORADVISE consortium gathers Europe’s main actors in forestry advice.

Breeding for improved perennial ryegrass (PRG) cultivars to support pastoral based production systems for milk and meat is a critically important goal. However, genetic gains for traits such as forage yield and quality have very much lagged behind genetic gain for agronomic traits in cereals. One reason for this is the long breeding cycle in a typical PRG breeding programme, where a single cycle of selection can take 5-6 years. Genomic selection (GS) is a form of marker assisted selection that simultaneously estimates all loci, haplotype, or marker effects across the entire genome to calculate Genomic Estimated Breeding Values (GEBVs). The main advantage that GS could offer PRG breeding is to enable multiple cycles of selection to be achieved in the same time it takes to do a single cycle of conventional selection, thereby increasing the rate of genetic gain. Improving digestibility of the forage leads to an increase in animal performance, and is therefore an important target trait for forage breeders. Furthermore, it has already been shown that increases in organic matter digestibility can reduce methane emissions. Reducing methane emissions is a key target of the EUs climate and energy policy. In this action I will focus on developing and validating GS equations for feed parameters that are being used as model inputs into the Cornell Net Carbohydrate and Protein System (CNCPS). This CNCPS is currently being adapted to predict nutritional value to the grazing animal in pasture based production systems, and it is envisaged that it will be able to identify feed parameters limiting milk-solid production and thereby direct future forage breeding efforts. The work of this action will lead to a novel and innovative forage breeding programme that can select for multiple feed parameters to develop the ideal forage cultivars for pasture production systems.