The overall strategy of the GoodBerry project has been delivered through the activities in five research and technological development blocks with additional dissemination/training and management work. Within the project, different tasks have been defined to reach clear objectives during this reporting period.
Part of our work has been focused on different elite cultivars of strawberry, raspberry, and black currant grown in contrasting environments aimed the identification of the genotype x environmental interaction. For that, we applied modern genomic tools together with a deeper phenotypic evaluation for flowering and fruit quality. As a result, we have identified genes determinants underlying plant adaptation and fruit quality. Also, we have conducted numerous trials concerning the process of flower initiation, dormancy and management practises to reduce diseases in strawberry, raspberry and blackcurrant. With the different trials the partners have contributed to the clarification of these complicated plant processes, and contributed to new, innovative management practices to reduce powdery mildew and grey mould in strawberry and raspberry, and charcoal rot in strawberry. In this context, several practice abstracts have been published at the EIP-AGRI platform summarising all these results. The partners have constructed ‘easy to understand short presentations’ with the key outcomes of the performed trials to clarify floral initiation and dormancy characteristics, as well as tools to control powdery mildew and charcoal rot. Overall, a total of 72 applied publications are available on the GoodBerry website, covering 23 main topics. Within the project, new genetic population (strawberry) with improved adaptability to cultivation systems and exhibiting higher fruit quality has been developed. This population has been studied applying genetic and metabolomic analysis together with QTL mapping for developmental and fruit quality traits in different environments. From this work, we were able to deliver a list of markers for marker assisted selection, which constitute a valuable knowledge for breeders to support them (i) selecting varieties specially adapted to a specific location, and (ii) evaluating the plasticity of varieties in different environments. Markers for breeding were identified for traits linked to development (flowering date) and to fruit quality (aromas). Within GoodBerry, we also developed a set of tools to analyze and select fruits with optimized quality - organoleptic, nutritional and bioactive components. State of the art high-throughput metabolomic, gas chromatography (GC) and liquid chromatography-mass spectrometry (LC-MS) technologies for primary, secondary polar and volatiles compounds is used to maximise analytical data collation while minimising analysis time. The improvement of external fruit quality has been achieved for standard sensorial quality traits. Within the project, a dissemination plan has been developed by considering a proper and logical integration of scientific, technical and public dissemination of results generated within the project. The overall management of the project concerns all GoodBerry partners and research, administration and financial management, IP issues and outreach related to the whole project have been overseen.