RISK ANALYSIS IN THE FOOD CHAIN AND ANIMAL WELFARE
cod. 1009236

Academic year 2020/21
2° year of course - Second semester
Professor responsible for the course unit
Barbara PADALINO
integrated course unit
6 credits
hub:
course unit
in ENGLISH

Learning objectives

Students will acquire deep understanding on what animal welfare is and microbial genomics applied to outbreak investigation, source attribution and risk assessment. will be described. Students will develop skills in assessing welfare in livestock using the most recent welfare assessment tools developed around the world. Students will become familiar with the current European regulations on animal care ‘from farm to fork’ and with the most common infringements of the European laws as well as Whole genome sequencing platforms and technologies. The nexus between animal health and welfare, human health and wellbeing and environment will be also described. Moreover benefits of a real-time outbreak investigation and a more targeted source attribution and hazard identification/characterisation will be discussed in order to manage the major challenges and opportunities.

Prerequisites

- - -

Course unit content

• Animal welfare assessment tools
• Animal welfare issues (housing and management, transport, stunning and killing)
• Identification and analysis of the main hazards/stressors during animal production life
• Risk assessment and management of poor welfare, health and productivity from birth to slaughter)
• WGS and outbreak investigation (definition of outbreak, subtyping approaches, platforms for real-time outbreak investigation)
• WGS and source attribution (frequently matched, machine learning, network models)
• Foodborne Risk management by Genome Wide Association Studies
• WGS and risk assessment (pathogen typing and characterisation for hazard identification, prediction of virulence potential for hazard characterisation, prediction of phenotypic traits associated to growth/survival for exposure assessment)

Full programme

- - -

Bibliography

Notes of lectures; scientific publications

Teaching methods

Face-to-face lectures, scientific seminaries, on farm visits, tutorials, scenario-based learning, problem-based learning

Assessment methods and criteria

This course includes two modules “Risk Analysis in Animal Welfare" and "Microbial Genomics for Risk Analysis”. Final grading of the entire integrated course is calculated as an average of the scores obtained in the two courses.
Oral examination for both modules. The oral examination will verify the theoretical and applicative knowledges of the student.

Other information

Participation is not mandatory but highly recommended

2030 agenda goals for sustainable development

- - -

Contacts

Toll-free number

800 904 084

Student's office

E. segreteria.scienzealimenti@unipr.it 
 

Quality assurance service 

Course quality assurance manager:
Dott.ssa Caterina Scopelliti
T. +39 0521 905969
E. service didattica.scienzealimenti@unipr.it
E. manager caterina.scopelliti@unipr.it

Course President

Prof.ssa Tullia Tedeschi
E. tullia.tedeschi@unipr.it 

Deputy Course President

Prof.ssa Valentina Bernini
E. valentina.bernini@unipr.it 

 

Delegate for guidance

Prof.ssa Emanuela Zanardi
E. emanula.zanardi@unipr.it 

Delegate for career guidance

Prof.ssa Francesca Bot
E. francesca.bot@unipr.it  

Delegate for tutoring

Prof.ssa Emanuela Zanardi
E. emanuela.zanardi@unipr.it 

Member of the International student mobility commission

Prof. Francesco Martelli
E. francesco.martelli@unipr.it  
 

Responsible for Course Quality Assurance (RAQ)

Prof.ssa Chiara Dall'Asta
E. chiara.dallasta@unipr.it

 

Contact person for students with disabilities, specific learning difficulties,(SpLD) or vulnerable groups

Prof.ssa Marilena Musci
E. marilena.musci@unipr.it 

 

Delegates for internships

Prof.ssa Tullia Tedeschi - Unipr
E. tullia.tedeschi@unipr.it 

Prof.ssa Paola Battilani - Università Sacro Cuore PC
E. paola.battilani@unipr.it

Prof. Pietro Rocculi - Unibo
E. pietro.rocculi3@unibo.it  

Prof. Emilio Stefani - Unimore
E. emilio.stefani@unipr.it

Prof. Nicola Marchetti - Unife
E. nicola.marchetti@unipr.it