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@ARTICLE{Senger:916561,
author = {Senger, Elisa and Osorio, Sonia and Olbricht, Klaus and
Shaw, Paul and Denoyes, Béatrice and Davik, Jahn and
Predieri, Stefano and Karhu, Saila and Raubach, Sebastian
and Lippi, Nico and Höfer, Monika and Cockerton, Helen and
Pradal, Christophe and Kafkas, Ebru and Litthauer, Suzanne
and Amaya, Iraida and Usadel, Björn and Mezzetti, Bruno},
title = {{T}owards smart and sustainable development of modern berry
cultivars in {E}urope},
journal = {The plant journal},
volume = {111},
number = {5},
issn = {0960-7412},
address = {Oxford [u.a.]},
publisher = {Wiley-Blackwell},
reportid = {FZJ-2022-06337},
pages = {1238 - 1251},
year = {2022},
abstract = {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.},
cin = {IBG-4},
ddc = {580},
cid = {I:(DE-Juel1)IBG-4-20200403},
pnm = {2171 - Biological and environmental resources for
sustainable use (POF4-217) / BreedingValue - Pre-breeding
strategies for obtaining new resilient and added value
berries (101000747)},
pid = {G:(DE-HGF)POF4-2171 / G:(EU-Grant)101000747},
typ = {PUB:(DE-HGF)16},
pubmed = {35751152},
UT = {WOS:000836947400001},
doi = {10.1111/tpj.15876},
url = {https://juser.fz-juelich.de/record/916561},
}