970311 Experimental design and analysis of field and laboratory trials (in Eng.)

Art
Vorlesung und Übung
Semesterstunden
2
Vortragende/r (Mitwirkende/r)
Michel, Sebastian
Organisation
Angeboten im Semester
Wintersemester 2023/24
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

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)
Inhaltliche Voraussetzungen (erwartete Kenntnisse)

Basics in Biostatistics (linear regression, analysis of variance)
Lehrziel

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.
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