Journal Article

FZJ-2022-06337

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Towards smart and sustainable development of modern berry cultivars in Europe

Senger, E. (Corresponding author)FZJ* ; Osorio, S. ; Olbricht, K. ; Shaw, P. ; Denoyes, B. ; Davik, J. ; Predieri, S. ; Karhu, S. ; Raubach, S. ; Lippi, N. ; Höfer, M. ; Cockerton, H. ; Pradal, C. ; Kafkas, E. ; Litthauer, S. ; Amaya, I. ; Usadel, B.FZJ* ; Mezzetti, B.

2022
Wiley-Blackwell Oxford [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/33330  doi:10.1111/tpj.15876

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.

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Contributing Institute(s):

1. Bioinformatik (IBG-4)

Research Program(s):

1. 2171 - Biological and environmental resources for sustainable use (POF4-217) (POF4-217)
2. BreedingValue - Pre-breeding strategies for obtaining new resilient and added value berries (101000747) (101000747)

Appears in the scientific report 2022

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Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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