English title:
Biometrics in plant breeding and breeding research
Course ID:
957323
ECTS credits:
3,0
Title in native language:
Biometrie in der Pflanzenzüchtung und Züchtungsforschung
Biometrie in der Pflanzenzüchtung und Züchtungsforschung
Term Semester:
Autumn/Winter
Instruction language(s):
German
Course content:
Section 1: Field experiments (design, analysis)
Planning and design of plant breeding field trials, randomized complete block design, generalized lattice design, statistical analysis (RCB, lattice, neighbour analysis, trend analysis, standard design, augmented design, analysis of series of experiments, estimation of heritability and trait correlations
Section 2: Quantitative genetics (heritability estimates, genetic and phenotypic correlation, response to selection, heterosis and general / specific combining ability, stability and G by E interaction, multi-trait selection procedures)
Section 3: Molecular genetic marker applications (genetic diversity, genetic distance, visualisation of diversity through clustering and other multivariate methods, genetic mapping basics, QTL-analysis basics, pedigree analysis)
.
Planning and design of plant breeding field trials, randomized complete block design, generalized lattice design, statistical analysis (RCB, lattice, neighbour analysis, trend analysis, standard design, augmented design, analysis of series of experiments, estimation of heritability and trait correlations
Section 2: Quantitative genetics (heritability estimates, genetic and phenotypic correlation, response to selection, heterosis and general / specific combining ability, stability and G by E interaction, multi-trait selection procedures)
Section 3: Molecular genetic marker applications (genetic diversity, genetic distance, visualisation of diversity through clustering and other multivariate methods, genetic mapping basics, QTL-analysis basics, pedigree analysis)
.
Expected previous knowledge:
Basics of statistics and basics of plant breeding<br>.
Learning outcomes:
Application of biometrical/statistical methods, planning of experiments, data collection, data analysis, interpretation or results, visualisation of measurement data and genetic effects, understanding statistics in scientific publications.
.
.
Teaching and learning methods:
Lecture, practical excercises (statistical software, examples using data from plant breeding experiments)
.
.
Exam method:
oral
Organisation: University of Natural Resources and Life Sciences Vienna
Country:
Austria
Acronym:
BOKU
ERASMUS+ code:
A WIEN03
Teaching period summer semester:
22. Feb 2021 - 30. Sep 2021
Teaching period winter semester:
13. Oct 2020 - 21. Feb 2021
University website: