Mapping GENOmic variants associated with FUNctional and HEALth traits in dairy cattle populations – GenoFunHeal
The research aims to use the genomic SNP information produced in the GENORIP project and the innovative resilience and efficiency traits measures (i.e., health and functional phenotype measures; longitudinal production measures) registered in the 7 farms part of the same ongoing project.
GenoFunHeal will develop GWAS to identify QTL taking advantage of the peculiarity of the dataset, (i.e., phenotype and genotype collected on the same females). This is innovative approach respect to the GWAS design that use genotype of sires and phenotype measures on daughters. The CNV, a class of structural variants linked to gene expression regulation, and the Run Of Homozygosity (ROH) will be used in addition to SNP genotypes to map QTL.
GenoFunHeal will inform the breeding community on the use of innovative phenotype and genomic approaches to improve selection in dairy cattle population, the scientific community to improve current information on QTL for innovative resilience and efficiency traits. The results of GenoFunHeal will produce a shift in knowledge for the professionals’ technicians of the livestock sector.
MSc in Animal Husbandry Sciences and Technologies at the University of Milan (UNIMI).
Master’s thesis entitled ‘Development of a GENOmic tool for RIProduction management in dairy cattle and for the monitoring of inbreeding’.
Research Fellow of the GENORIP Project.
Deep interest in animal genomics.
Publications: Orcid ; Scopus ; IRIS-AIR
Supervisor Prof. Maria Giuseppina Strillacci
