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Transforming animal breeding through phenomic approaches that integrate digital and molecular phenotyping

CORDIS · observation · Publication date unknown

oping an integrated phenotype-based approach linking behavioural and molecular phenotypes based on metabolomics, to improve selection strategies in pigs. The project’s objectives are: (O1) to develop artificial intelligence (AI)-driven pipelines for extracting behavioural phenotypes from video/sensor data; (O2) to identify metabolomic profiles associated with behaviour; (O3) to incorporate these phenotypes into genomic selection for welfare-oriented breeding. The project will produce the first integrated datasets of this kind, identifies biomarkers, and advance precision breeding tools. The outgoing phase at Iowa State University will focus on digital phenotyping and behavioural modelling, which will be complemented by my expertise in metabolomics. A secondment at PIC, a leading global pig breeding company, will provide first-hand experience with the application of these tools in commercial settings. The return phase at the University of Bologna will consolidate findings and establish an independent research line. This work responds to growing demands for more ethical and sustainable

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recordType

award

status

SIGNED

region

EU

value

396991.08

unit

EUR