Advanced Genetic Improvement
A.Y. 2024/2025
Learning objectives
The objective of this course is to provide the operational tools used in livestock to select and reproduce animals, tolls that are nowadays based on genomic technologies. Advancement in molecular technologies has in fact generated new selection processes based on the genomic information available on each animal. Students will learn the basics for interpreting the available genomic information and tools for their use in genomic selection and breeding management.
Expected learning outcomes
Students will be able to use at basic level the genomic information provided to breeders and artificial insemination centers that are the fundamental pillar of the genomic selection. They will be able to interpret the genomic reproductive value (GEBV) and to implement, on farms, innovative selection programs. They will have the basic knowledge of the bioinformatic tools and usage skills for the management of genomic data.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Mixed model selection and genomics
AGR/17 - LIVESTOCK SYSTEMS, ANIMAL BREEDING AND GENETICS - University credits: 3
Practicals: 16 hours
Lessons: 16 hours
Lessons: 16 hours
Professor:
Bagnato Alessandro
Shifts:
Turno
Professor:
Bagnato Alessandro
Quantitative genetics and selection
AGR/17 - LIVESTOCK SYSTEMS, ANIMAL BREEDING AND GENETICS - University credits: 5
Practicals: 16 hours
Lessons: 32 hours
Lessons: 32 hours
Professor:
Bagnato Alessandro
Shifts:
Turno
Professor:
Bagnato AlessandroProfessor(s)