Unit COMPLEMENTARY COURSE OF ANIMAL SCIENCE OF ANIMALI I

Course
Animal science
Study-unit Code
GP004366
Curriculum
In all curricula
Teacher
Mariano Pauselli
CFU
6
Course Regulation
Coorte 2021
Offered
2023/24
Type of study-unit
Opzionale (Optional)
Type of learning activities
Attività formativa integrata

ADAPTIVE PHYSIOLOGICAL RESPONSES IN LIVESTOCK

Code GP004377
CFU 3
Teacher Olimpia Barbato
Teachers
  • Olimpia Barbato
Hours
  • 27 ore - Olimpia Barbato
Learning activities Affine/integrativa
Area Attività formative affini o integrative
Academic discipline VET/02
Type of study-unit Opzionale (Optional)

PRECISION FARMING

Code A001603
CFU 3
Teacher Mariano Pauselli
Teachers
  • Mariano Pauselli
Hours
  • 27 ore - Mariano Pauselli
Learning activities Affine/integrativa
Area Attività formative affini o integrative
Academic discipline AGR/19
Type of study-unit Opzionale (Optional)
Language of instruction Italian
Contents To provide knowledge concerning:
data collection through management software, automatic milking systems and their elaboration to put in evidence critical point in management of dairy farms.
Data collection by the use of commercial accelerometers/pedometers and evaluation of their efficiency in a case study situation.
Environmental data collection by sensors in pig farms and dairy farms.
Verification of precision in feeding management.
Reference texts Various material (papers and ppt) showed during the course and available on Unistudium
Educational objectives Knowledge:
The role of data collecting and their appropriate elaboration in modern livestock farming.
- Productive data.
- Reproductive data.
- Behavioural data.
- Environmental data.
- Automatic feeders data and total mixed ration mixer.
Ability:
To collect and elaborate productive, reproductive and behavioural data in cattle management.
To collect and elaborate environmental parameters to improve animal welfare.
To manage automatic feeders and total mixed ration mixer to improve the dietary efficiency of the herd.
Interpersonal skills:
Be able to work in group.
Prerequisites The ability to perform simple mathematical calculation and the basic knowledge of Excel software.
Teaching methods The course is organized as follows:
Lecturers.
Field data collection from automatic milking systems, accelerometers, environmental sensors, automatic feeders and total mixed ration mixer.
Classroom exercises for data editing and data elaboration.
Seminars with external experts-
Classroom discussion about material previously delivered by the teacher.
Other information The course will be held in DSA3 classrooms.
Frequence is facultative but recommended
Learning verification modality The exam consists in an oral examination, based on the discussion of a group technical report and answers to questions aimed to evaluate the level of knowledge and understanding acquired by the student on the subjects of the course.

As a whole, the test will evaluate the students' communication and language skills, the ability to apply the acquired skills, and work out solving problems and solutions.

For information on support services for students affected by disabilities and SLD visit the webpage: http://www.unipg.it/disabilita-e-dsa
Extended program Lecturers/seminars
Introduction (0.3 CFU)
Herd efficiency definiton.
Importance of data collection at farm level.
Methods for data collecting.
Data elaboration.

Data collection in dairy herd (0.4CFU).
Data from herd management software.
- Production data.
- Reproductive data.
- Milk quality data.
Data collected from accelerometers/pedometers.
Data collected by Automatic Milking Systems.
Data collected by environmental sensor.
Data collected by total mixed ration mixer.
Data collected in beef cattle herd (0.3 FCU)
Data from herd management software.
- Reproductive data.
Data collected by accelerometers.
Data collected by geolocation systems.
Data collected by automatic feeders.
Data collected in pig farms (0.2 FCU).
Data collected by herd management software.
Data collected by environmental sensors.
Data collected by automatic feeders.
Practical lessons.
Visit to the farms for data collecting (0.9 FCU)
Data processing (0.9 CFU).
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