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Research

  • New variations on an old theme

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    maize on a field
  • AI-based breeding

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    Our goal is to predict how a plant will perform based on genotyping and guide breeding based on AI models.
  • Single-plant-omics

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    Phenotype to genotype
  • Measuring agronomically relevant traits

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    Team preparing pots for mature phenotyping of BREEDIT population
  • BREEDIT

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    BREEDIT principle

About us

The earth’s climate is changing rapidly and the development, by breeding, of new high-yielding and climate adapted varieties of agricultural crops is currently too low to tackle forthcoming threats to food security. The EU-funded BREEDIT project developed an innovative breeding strategy to quickly assess combinations of potential yield contributing alleles. By multiplex gene editing a large number of genes in combination with breeding, phenotyping and multiplex amplicon sequencing and machine learning, gene combinations can be identified that modify beneficial traits in crops. The technology was developed with maize a model but can be applied for a large number of crops. 

This work is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program (H2020/2019-2025) under grant agreement No 833866-BREEDIT.

Dirk Inze

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Ugent
PSB

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+32 (0) 9 331 3800
[email protected]

Technologiepark 71
9052 Zwijnaarde, Belgium

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