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Total Cost €


EC-Contrib. €






 BREEDIT project word cloud

Explore the words cloud of the BREEDIT project. It provides you a very rough idea of what is the project "BREEDIT" about.

crop    evaluations    cas9    word    security    combinations    crossing    scheme    mutations    optimal    combining    unprecedented    rounds    complexity    food    networks    shift    genetic    image    centric    expeditious    implementing    proposes    introducing    biology    breeding    frequency    sequencing    amplicon    yield    gene    underlying    efficiency    reflects    population    regulatory    house    material    climate    subsequent    programs    acronym    plants    effect    provoke    mediated    characterised    too    automated    elite    multiplex    editing    threats    edited    phenotypes    follow    fusion    collection    crispr    global    changing    phenotypic    world    breedit    schemes    breed    paradigm    gain    varieties    poses    combinatorial    molecular    agriculture    unifying    pace    beneficial    erc    stacked    genes    edits    plant    crossings    entire    phenotyping    nature    basis    genome    basic    evaluation    imminent    feeding    platform    yielding    integrating    alleles   

Project "BREEDIT" data sheet

The following table provides information about the project.


Organization address
postcode: 9052

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 2˙474˙790 €
 EC max contribution 2˙474˙790 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2024-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VIB BE (ZWIJNAARDE - GENT) coordinator 2˙474˙790.00


 Project objective

Feeding the growing world population under changing climate conditions poses an unprecedented challenge on global agriculture and our current pace to breed new high yielding crop varieties is too low to face the imminent threats on food security. This ERC project proposes a novel crossing scheme that allows for an expeditious evaluation of combinations of potential yield contributing alleles by unifying ‘classical’ breeding with gene-centric molecular biology. The acronym BREEDIT, a word fusion of breeding and editing, reflects the basic concept of combining breeding with multiplex genome editing of yield related genes. By introducing plants with distinct combinations of genome edited mutations in more than 80 known yield related genes into a crossing scheme, the combinatorial effect of these mutations on plant growth and yield will be evaluated. Subsequent rounds of crossings will increase the number of stacked gene-edits per plant, thus increasing the combinatorial complexity. Phenotypic evaluations throughout plant development will be done on our in-house automated image-analysis based phenotyping platform. The nature and frequency of Cas9-mediated mutations in the entire plant collection will be characterised by multiplex amplicon sequencing to follow the efficiency of CRISPR-cas9 genome editing and to identify the underlying combinations of genes that cause beneficial phenotypes (genetic gain). The obtained knowledge on yield regulatory networks can be directly implemented into current molecular breeding programs and the project will provide the basis to develop targeted breeding schemes implementing the optimal combinations of beneficial alleles into elite material. BREEDIT will be a major step forward in integrating basic knowledge on genes with plant breeding and has the potential to provoke a paradigm shift in improving crop yield.


List of deliverables.
Participation in the Open Research Data Pilot Open Research Data Pilot 2020-03-11 14:45:33

Take a look to the deliverables list in detail:  detailed list of BREEDIT deliverables.

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The information about "BREEDIT" are provided by the European Opendata Portal: CORDIS opendata.

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