751-3606-00L Molecular Plant Breeding
|B. Studer, C. Grieder, A. Hund, R. Kölliker
|jährlich wiederkehrende Veranstaltung
|Molecular tools have contributed significantly to improve the process of plant breeding throughout the last decades. The course Molecular Plant Breeding illustrates - on the basis of lectures, exercises and practical examples - the most important molecular breeding tools (QTL, association studies..) and how these tools are applied to plant breeding by means of marker-assisted or genomic selection.
|At the end of the course Molecular Plant Breeding you will be able to:
- design and statistically analyze genetic experiments for important characteristics such as repeatability, heritability, or least square means
- understand different molecular marker technologies and genotyping methods, and how the generated data can be used for genetic distance measures and multivariate statistics in experimental and natural populations
- use the most important molecular breeding tools such as genetic linkage mapping, QTL analysis, genome-wide association studies and to apply these tools to plant breeding by marker-assisted and genomic selection
- describe different sequencing technologies and strategies for genome sequencing, transcriptome profiling (RNAseq) and genotyping by sequencing
- apply basic bioinformatics tools for sequence data management and comparative genomics (BLAST, simple assemblies, alignments and gene annotations)
|The course Molecular Plant Breeding is based on complementing lectures, exercises and practical examples. The examples cover a wide range of species and traits and will be taught by four different experts in the field. A detailed program including dates and specific contents will be provided by the end of 2014.
|Scripts and slides for each lecture and will be made available through eDoz.
|For each lecture, additional literature covering the topic will be provided.
|Voraussetzungen / Besonderes
|The course will be held at Eschikon Field Station, where 12 computers will be available for exercises with R or - if necessary - other specific software packages. Attendance of the courses Pflanzenzüchtung and Plant Breeding II is recommended; basic understanding of R (as taught in Experimental Design and Applied Statistics in Agroecosystem Science) is advantageous.