Genome-editing techniques are promising tools in plant breeding. To facilitate a more comprehensive understanding of the use of genome editing, EU-SAGE developed an interactive, publicly accessible online database of genome-edited crop plants as described in peer-reviewed scientific publications.
The aim of the database is to inform interested stakeholder communities in a transparent manner about the latest evidence about the use of genome editing in crop plants. Different elements including the plant species, traits, techniques, and applications can be filtered in this database.
Regarding the methodology, a literature search in the bibliographic databases and web pages of governmental agencies was conducted using predefined queries in English. Identifying research articles in other languages was not possible due to language barriers. Patents were not screened.
Peer-reviewed articles were screened for relevance and were included in the database based on pre-defined criteria. The main criterium is that the research article should describe a research study of any crop plant in which a trait has been introduced that is relevant from an agricultural and/or food/feed perspective. The database does neither give information on the stage of development of the crop plant, nor on the existence of the intention to develop the described crop plants to be marketed.
This database will be regularly updated. Please contact us via the following webpage in case you would like to inform us about a new scientific study of crops developed for market-oriented agricultural production as a result of genome editing

Displaying 3 results

Traits related to increased plant yield and growth

Generating male sterility lines (MLS). Using MLS in hybrid seed production for monoclinous crops reduces costs and ensures high purity of the varieties because it does not produce pollen and has exserted stigmas. Complete abolition of pollen development.
( Lee et al., 2016 )
SDN1
CRISPR/Cas
Kyung Hee University, South Korea
Leaf inclination: the leaf angle is a trait that contributes to crop yield determination.
(Trionfini et al., 2023)
SDN1
CRISPR/Cas
Universidad Nacional del Litoral, Argentina
Increased grain yield without side effect.
( Gho et al., 2022 )
SDN1
CRISPR/Cas
Kyung Hee University, South Korea
International Rice Research Institute, Philippines