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Towards smart and sustainable development of modern berry cultivars in Europe

Authors :
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
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)
Source :
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
Publication Year :
2022

Abstract

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.

Details

ISSN :
1365313X and 09607412
Volume :
111
Issue :
5
Database :
OpenAIRE
Journal :
The Plant journal : for cell and molecular biologyREFERENCES
Accession number :
edsair.doi.dedup.....fbd004e597420eae3f5f29cedb549d1d
Full Text :
https://doi.org/10.1111/tpj.15876⟩