The department currently has PhD students admitted in Animal Science and in Biology.
NJV offers postgraduate courses in crop science, animals science and in analytical methods. The courses are arranged both through SLU's research schools and through NOVA and we often collaborate with other departments at SLU and other universities. You can read more about the courses below. For more information about rules and regulations regarding postgraduate studies we recommend checking the SLU webpage for this.
Introduction to hyperspectral imaging with focus on near infrared spectroscopy
The course amounts to 4 HEC/ECTS. Next course will be fall 2020. Course leader is Mårten Hetta, email@example.com, +46 90-786 8747
After completing the course the student shall be able to:
1) describe the basic theory behind the hyperspectral imaging techniques and have basic knowledge of contemporary spectral instrumentation (cameras). 2) conduct basic hyperspectral analysis and relate the spectral data obtained to reference information. 3) show a basic knowledge on how to operate software used to analyse data from hyperspectral technology and chemometric information.
Content (next course)
The course offers an introduction to hyperspectral imaging using desk top/lab, airborn (drone) and satellite techniques for the classification and quantification of spatial distributions and chemometrics in animal, agricultural, food, ecology and related sciences. The students will learn to interpret hyperspectral images using chemometrics and multivariate image and data analysis by user-friendly and intuitive software solutions.
The students will be introduced to the basics of chemometrics, near infrared spectroscopy and digital imaging by state of the arte lecturing, practical laboratory work using, high-speed hyperspectral, video meter and satellite imagines e.g. the Sentinel-2 Satellite for monitoring land and vegetation.
Applications will be presented on animal tissue, plants, food products (e.g. cheese and meat), field plots and landscape levels.
Forage evaluation in ruminant nutrition
The course amounts to 5 HEC/ECTS. It was provided in 2007, 2009, 2011, 2013 and 2015. Occasion for next course has not been decided. Course leader is Sophie Krizsan, firstname.lastname@example.org, +4690 786 8748.
Objective, including learning outcomes
After completing the course the student shall be able to: - describe cell wall factors limiting digestibility and intake in ruminants. - describe different techniques for evaluting forages. - explain the effects of antinutritional factors in plants on animal performance. - describe the use of stable isotopes in forage science. - explain the importance of forages in ruminant nutrition for the production of greenhouse gases (methane). - use practical methods for in vivo and in vitro measurements of methane production from enteric fermentation in cattle.
Content (last course occasion)
This is the fifth edition of the popular course. We will continue to focus on general aspects of forage evaluation, but this time we also include special sessions about anti-nutritional factors and the use of stable isotopes in ruminant nutrition. The lectures and exercises will be given by several leading scientists e.g. Professor Pekka Huhtanen (SLU), Professor Makkar Harinder (FAO), Dr Peter Udén (SLU), Professor Marin Riis Weisbjerg (Århus University) and Dr Seija Jaakola (Helsinki University).
The schedule includes general topics for all types of studies concerning forage science and ruminant nutrition, such as experimental techniques, modelling and important literature reviews. Teaching in class will be combined with practical exercises in analytical techniques to give a deeper understanding of the subject. Scientific articles will be presented and discussed to highlight important scientific progress. Examination includes solving practical problems as written "take home" project. The event also includes a social program with great possibilities to make contacts with fellows from different scientific environments
Ruminant Nutrition: Digestion and forage chemistry
The course amounts to 7.5 HEC/ECTS. Last occasion was 2016. Occasion for next course has not been decided. Course leader is Pekka Huhtanen, email@example.com, +4690 786 8701.
Objective, including learning outcomes
After completing the course the student shall be able to - describe in detail feed factors influencing nutritive value of feeds, especially those related to forage chemistry. - describe digestion of nutrients in different segments of the digestive tract of ruminants. - give details of mechanisms influencing feed intake. In addition to lectures the course includes paper discussions to support lectures and explain mechanisms in more detail. Calculation and modeling exercises will be carried out to understand quantitative aspects of nutrient digestion.
Content (last coruse occasion)
- Evolution, feeding strategies and plant-animal interactions - Forage chemistry - Forage evaluation methods - Rumen function and microbiology - Digesta passage kinetics - Digestion of carbohydrates - Rumen nitrogen metabolism - Rumen lipid metabolism - Digestion in the small intestine - Digestion in the large intestine - Regulation of feed intake
Dynamic Modelling of Cropping Systems
The course amounts to 4 HEC/ECTS. Last course was spring 2019. Occasion for next course has not been decided. Course leader is David Parsons, firstname.lastname@example.org, +4690-786 8714.
Course participants are expected to be able to run APSIM using their own data and for specific purposes that will contribute to their PhD project/Thesis. In terms of knowledge, participants are expected to acquire the most advanced theory and latest concepts related to crop modelling and how they can be used to support agricultural decision systems. Regarding skills, after completing the course participants are expected to be able to perform specific modelling tasks connected to problem-solving and decision-making processes. Finally, in terms of competences, participants will have intellectual capabilities to tackle real-life problems related to crop production, agronomic management and environmental questions, developing new knowledge and being able to communicate it.
The content focus on the operation of the crop model. Participants will learn the principles of modelling cropping systems, inputs, and basic simulations. Aspects such as model calibration, validation, and results interpretation will be discussed.