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PFS0166
Plant Quantitative Genetics
The purpose of this course is to familiarise participants with basic and advanced quantitative genetics and provide mature theory training and the latest analytical approaches for quantitative traits. Lectures will give insight into how similarity among relatives can be used to derive quantitative genetics parameters. The infinitesimal model of multiple gene effects be used to develop selection theory and breeding value prediction methodology. How genes effect and mating strategy affect long-term breeding outcomes. Using modern genomics, how QTL can be identified and their effects estimated. This will give students a solid foundation in future breeding program design and using genomics in advanced breeding program.
It covers from basic quantitative genetics to advanced topics of quantitative genetics including covariance between relatives, breeding value prediction, G by E interaction, QTL mapping, short-term and long-term selection, multivariate mixed linear model, inbreeding and heterosis and index selection
It covers from basic quantitative genetics to advanced topics of quantitative genetics including covariance between relatives, breeding value prediction, G by E interaction, QTL mapping, short-term and long-term selection, multivariate mixed linear model, inbreeding and heterosis and index selection
Syllabus and other information
Syllabus
PFS0166 Plant Quantitative Genetics, 6.0 Credits
Subjects
BiologyEducation cycle
Postgraduate levelGrading scale
Pass / Failed
Prior knowledge
Basic training in statistics, computing and genetics or equivalent with a master degree in plant biology.Objectives
After this course you will be able to: ● Create additive relationship matrix among relatives ● Perform basic tasks in estimate co-ancestry for simple and complex pedigree ● Estimate heritability, genetic correlation and genetic gain ● Estimate additive, dominance, and epistatic genetic variances ● Conduct quantitative trait loci analyses from pedigreed population ● Conduct genome-wide association analyses to detect QTL for different traits ● Predict breeding values using simple or complex pedigree ● Conduct progeny data analyses of multiple traits ● Estimate G by E interaction and derive the driver that causing G by E ● Design inbreeding and hybrid experiment to estimate inbreeding depression ● Perform complex genetic data analyses using Bayesian/MCMC model ● Design optimal breeding programContent
The purpose of this course is to familiarise participants with basic and advanced quantitative genetics and provide mature theory training and the latest analytical approaches for quantitative traits. Lectures will give insight into how similarity among relatives can be used to derive quantitative genetics parameters. The infinitesimal model of multiple gene effects be used to develop selection theory and breeding value prediction methodology. How genes effect and mating strategy affect long-term breeding outcomes. Using modern genomics, how QTL can be identified and their effects estimated. This will give students a solid foundation in future breeding program design and using genomics in advanced breeding program. It covers from basic quantitative genetics to advanced topics of quantitative genetics including covariance between relatives, breeding value prediction, G by E interaction, QTL mapping, short-term and long-term selection, multivariate mixed linear model, inbreeding and heterosis and index selectionAdditional information
Files for presentation and exercises etc. will be distributed in dropbox.Additional information
Scheduled activities:
Lectures and demonstration 80 (10 days)
Examination and course evaluation 10 h
Self studies 60 h
Totally 150 h
Responsible department
Department of Forest Genetics and Plant Physiology