970311 Experimental design and analysis of field and laboratory trials

Lecture and exercise
Semester hours
Lecturer (assistant)
Michel, Sebastian
Offered in
Wintersemester 2023/24
Languages of instruction


Introduction into the R statistical environment (regression analysis, t-test, analysis of variance)
Randomized complete block design (prelude to random blocks)
Incomplete block designs (augmented designs, α designs, p-rep, row-column designs)
Multi-factorial trial designs (genotype x environment interaction, split-plot designs, strip-plot designs)
Optimization of field trial designs (variance components, A-optimality, randomization theory)

Previous knowledge expected

Basics in Biostatistics (linear regression, analysis of variance)

Objective (expected results of study and acquired competences)

Participants are able to set up a linear mixed model for their designed experiments and can implement such models using statistical packages such as R. Participants are able to analyze the data obtained in plant breeding and plant production field and laboratory trials as well as interpret and display the relevant results.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.