Abstract
POLYPLOIDBREEDING 4.0 will focus on key technologies as high throughput phenotyping and genotyping in diploid (barley) and polyploid (durum and common wheat) crop species for artificial intelligence based breeding. The objec-tive is to develop and apply new methods for the benefit of crop breeding. Specific objectives are 1) data genera-tion: new data from drone- and rhizotron-captured phenotypes, sequence data integrate new and exist-ing/historical data; 2) modeling and tool development for data integration, for the acquisition and processing of high-throughput phenomics and for AI-based genomic predictions; 3) calibration of the main results through ad-hoc experiments in-silico to expand the toolbox available for cereal breeding.
Dettagli del progetto
Responsabile scientifico: Elisabetta Frascaroli
Strutture Unibo coinvolte:
Dipartimento di Scienze e Tecnologie Agro-Alimentari
Coordinatore:
CNR - Consiglio Nazionale delle Ricerche(Italy)
Contributo totale Unibo: Euro (EUR) 91.085,00
Durata del progetto in mesi: 24
Data di inizio
28/09/2023
Data di fine:
27/02/2026
