Animal Nutrition 2
This course contains the following main themes:
- feed and feed analyses
- nutritional composition of feed
- feed evaluation for monogastric and ruminant animals with a focus on energy and protein requirements
The subject is reserved for students of the following study programmes:
- Livestock Science, Bachelor's Programme
Other students can get admitted if there are places available. Contact student advisor.
After completing the course, the student must have obtained:
Knowledge:
- Has knowledge of metabolism, with particular focus on energy and protein metabolism in the rumen.
- Has knowledge of various feed analysis methods and techniques.
- Has knowledge of feed assessment systems, digestibility, energy and protein assessment in monogastric animals and ruminants.
- Has knowledge of feed formulation and feed planning for monogastric animals and ruminants, based on the specific nutritional needs of the animal species.
- Has knowledge of new feed ingredients for sustainable livestock production.
Skills:
- Apply knowledge of physiology, feed materials and roughage quality for feed plans.
- Assess feed ingredients based on their chemical composition and digestibility.
- Set up a simple feed plan for monogastric and ruminant animals.
General competence:
- Communicate nutritional quality of feed and its significance on animal production.
- Assess different feed rations based on the composition of different nutrients, analysis values, and ration quantity, and interpret feed calculations.
- Discuss the role of new feed ingredients for future livestock production, both in terms of economics and sustainability.
Compound assessment
Compulsory attendance: 1 (lab work)
Compulsory work: 2. Approved / Not approved. Must be approved prior to the written exam.
Written exam, 5 hours, comprises 100% of the grade, grading scale A-F.
Laptop, pen, ruler, up to 2 bilingual dictionaries and calculator.
Generating an answer using artificial intelligence and submitting it wholly or partially as one's own answer is considered cheating. Use of generative artificial intelligence (AI) in studies | Nord.no
Overlap refers to a similarity between courses with the same content. Therefore, you will receive the following reduction in credits if you have taken the courses listed below:
HUS210 - Animal Nutrition - 5 credits