About this course

The subject includes lectures on soil analysis theory and how soil analyses are used as a tool for fertilization and liming planning, as well as for assessing pollution potential. In the laboratory, the following soil analyses are conducted: soil pre-treatment, bulk density determination, dry matter and loss-on-ignition determination, pH analysis, and analysis of easily soluble (plant-available) potassium, magnesium, calcium, phosphorus, and nitrogen. Exercises using DGT will also be conducted to determine the kinetics of phosphorus in soil from field trials with different phosphorus treatments

Learning outcome

Learning outcome:

Knowledge

Evaluate the best strategies for soil sampling and the best methods to be used for a given situation.

Evaluate uncertainties and quality of soil analysis results.

Evaluate soil analysis results as a tool for plant availability and as environmental potential.

Skills

Pre-treat and analyze soil samples for plant-available nutrients and assess the environmental consequences of reactive trace metals and phosphorus

General competence

Argue for the importance of soil analysis for best management fertilization and environmental quality.

  • Learning activities

    The course is given as 50% lectures and 50% laboratory work by guidance of teacher and engineers.

  • Teaching support

    The course teacher is available for questions and discussion in regular office hours as well as on email.

  • Syllabus

    Will be announced at Canvas.

  • Prerequisites

    JORD230 or similar

  • Assessment method

    Combined assessment:

    • Semester assignment (laboratory reports in groups) counts 40%.
    • Oral examination counts 60%.

    Both parts need to be passed to pass the course.

    Students who have previously passed one or more components of the overall assessment in the course do not need to complete these components again when retaking the course.

    Grading scale: Passed / Not passed.



    Oral exam Karakterregel: Passed / Not Passed Hjelpemiddelkode: A1 No calculator, no other aids Portfolio Karakterregel: Passed / Not Passed

  • About use of AI

    Oral exam: K1 - No use of AI

    Semester thesis: K3 - Full use of AI.

    The use of AI is permitted, but it must comply with the Guidelines for Use of Artificial Intelligence (AI) at NMBU.

    Mandatory activity: K3 - Full use of AI.

    The use of AI is permitted, but it must comply with the Guidelines for Use of Artificial Intelligens (AI) at NMBU.

    Descriptions of AI-category codes.

  • Examiner scheme

    The course responsible evaluates laboratory reports (group reports). External examiner and the course responsible evaluates the oral examination.

  • Mandatory activity

    Laboratory reports for all exercises have to be approved before the exam. Laboratory reports are group reports.

  • Notes

    Students who want to take the course must apply for admission in Studentweb no later than January 20th. After that, the places in the course will be distributed.

    If there are few students, the course may either be postponed by one year or offered with an alternative teaching arrangement.

  • Teaching hours

    26 h of lectures and 26 h of laboratory work. Lectures and laboratory work are concentrated to 4 h per day and week.

  • Preferential right

    B-MILJØ, M-MILJØ, B-PV, M-PV

  • Reduction of credits

    5 credits overlap with JORD213.

  • Admission requirements

    Special requirements in Science