Production, Reproduction and Animal Health: Monitoring and Management
A.Y. 2022/2023
Learning objectives
The aims of the course are to broaden and deepen the scientific and applicative knowledge on the breeding of livestock (dairy and meat), with particular regard to the use and interpretation of data collected at farm for the monitoring and management of the systems in order to increase sustainability, animal welfare and the efficiency of livestock systems.
Expected learning outcomes
Tools and methods for the technical evaluation of livestock farms, and for the management activity within the livestock sector. In particular, the student will acquire the ability to use and interpret data from sensors for correct monitoring and management of modern, efficient and sustainable farms.
Lesson period: First 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
First semester
If the emergency situation requires it, the teaching modality will be mixed: with remote synchronous lessons, asynchronous lessons and moments in presence such as those in Lombard production companies.
The remote synchronous lessons will foresee the interactions of the students through dedicated 'classes'.
The remote synchronous lessons will foresee the interactions of the students through dedicated 'classes'.
Course syllabus
The topics discussed will always start from an updated assessment of the systems that allow monitoring of the various aspects of breeding. In particular, the aspects of monitoring and management of production, reproduction and animal health in cattle, pork and poultry farming will be explored. The management aspects of the different breeding phases will be explored (young animals, animals in production and reproduction phase).
Prerequisites for admission
Animal science studies
Teaching methods
The course will take place for the most part in the classroom with lectures, group work and small barn data processing using excel.
By acquiring familiarity with processing and interpreting the data, the student will be able to interpret the livestock production reality independently and based on scientific data.
The course also includes trips to production facilities.
Attendance is strongly recommended
By acquiring familiarity with processing and interpreting the data, the student will be able to interpret the livestock production reality independently and based on scientific data.
The course also includes trips to production facilities.
Attendance is strongly recommended
Teaching Resources
Slides from lectures and papers.
All course materials will be available on the ariel website of the course for enrolled students (attending and non-attending).
https://mzucaliprsamg.ariel.ctu.unimi.it/v5/home/Default.aspx
All course materials will be available on the ariel website of the course for enrolled students (attending and non-attending).
https://mzucaliprsamg.ariel.ctu.unimi.it/v5/home/Default.aspx
Assessment methods and Criteria
Oral examination. You will be asked to tackle an application theme by framing the topic and giving numerical examples on the subject.
We will try to cover the different areas addressed (milk / meat production). We will evaluate the synthesis, exposure and processing capacity. The ability to apply the acquired knowledge will also be evaluated. The grade assigned will be 30th.
We will try to cover the different areas addressed (milk / meat production). We will evaluate the synthesis, exposure and processing capacity. The ability to apply the acquired knowledge will also be evaluated. The grade assigned will be 30th.
AGR/19 - ANIMAL SCIENCE - University credits: 6
Laboratories: 16 hours
Lessons: 40 hours
Lessons: 40 hours
Professor:
Zucali Maddalena Enrica
Educational website(s)
Professor(s)