Towards smart and sustainable development of modern berry cultivars in Europe

Autor: Elisa Senger, Sonia Osorio, Klaus Olbricht, Paul Shaw, Béatrice Denoyes, Jahn Davik, Stefano Predieri, Saila Karhu, Sebastian Raubach, Nico Lippi, Monika Höfer, Helen Cockerton, Christophe Pradal, Ebru Kafkas, Suzanne Litthauer, Iraida Amaya, Björn Usadel, Bruno Mezzetti
Přispěvatelé: Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Instituto de Hortofruticultura Subtropical y Mediterranea 'La Mayora' (IHSM), Universidad de Málaga [Málaga] = University of Málaga [Málaga]-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Hansabred [Dresden], The James Hutton Institute, Biologie du fruit et pathologie (BFP), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), Institute for BioEconomy [Sesto Fiorentino] (IBE | CNR), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Natural Resources Institute Finland (LUKE), Julius Kühn-Institut - Federal Research Centre for Cultivated Plants (JKI), National Institute of Agricultural Botany (NIAB), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Scientific Data Management (ZENITH), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Cukurova University, Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Università Politecnica delle Marche [Ancona] (UNIVPM), The authors acknowledge support from the European Union’s Horizon 2020 research and innovation program (grant agreement ID: 101000747)
Rok vydání: 2022
Předmět:
Zdroj: Plant Journal
the plant journal
Plant Journal, 2022, 111 (5), pp.1238-1251. ⟨10.1111/tpj.15876⟩
The plant journal 111(5), 1238-1251 (2022). doi:10.1111/tpj.15876
ISSN: 1365-313X
0960-7412
Popis: International audience; Fresh berries are a popular and important component of the human diet. The demand for high-quality berries and sustainable production methods is increasing globally, challenging breeders to develop modern berry cultivars that fulfill all desired characteristics. Since 1994, research projects have characterized genetic resources, developed modern tools for high-throughput screening, and published data in publicly available repositories. However, the key findings of different disciplines are rarely linked together and only a limited range of traits and genotypes has been investigated. The Horizon2020 project BreedingValue will address these challenges by studying a broader panel of strawberry, raspberry and blueberry genotypes in detail, in order to recover the lost genetic diversity that has limited the aroma and flavor intensity of recent cultivars. We will combine metabolic analysis with sensory panel tests and surveys to identify the key components of taste, flavor and aroma in berries across Europe, leading to a high-resolution map of quality requirements for future berry cultivars. Traits linked to berry yields and the effect of environmental stress will be investigated using modern image analysis methods and modeling. We will also use genetic analysis to determine the genetic basis of complex traits for the development and optimization of modern breeding technologies such as molecular marker arrays, genomic selection and genome wide association studies. Finally, the results, raw data and metadata will be made publicly available on the open platform Germinate in order to meet FAIR data principles and provide the basis for sustainable research in the future.
Databáze: OpenAIRE
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