Learning Outcomes
Learning outcomes aim to provide students with a comprehensive understanding of key concepts, principles, and methods in population and quantitative genetic analysis using molecular data. Students will acquire a strong foundation in both the theoretical and practical aspects of quantitative and population genetics, prepared for further studies or careers in genetics, genomics, evolutionary biology, and related fields.
Course Content (Syllabus)
Population Genetics: Organization of Genetic Variability in Populations, Quantification of the Genetic Composition of Populations, Causes of Evolution, Forces that Change Allele Frequencies, Crossbreeding Systems and Interbreeding, Cumulative Effect of Evolutionary Forces, Molecular Population Genetics (Molecular Evolution, Patterns of Nucleotide Substitution -amino acids, evolution of multigene families, transposable elements).
Quantitative Genetics: Basic Genetic Model of Quantitative Traits, Similarity Between Related Individuals, Heritability - Recurrence, Applications of Statistics to Quantitative Traits, Mixed Linear Models, Enhancer and Genetic Values, Change in Frequencies through Selection, Enhancer-Selection Efficacy, Genetic Correlations, Cross Designs , Multienvironmental experimentation and genotype-environment interaction, Genomic relatedness and GBlups, Applications of Genomic Selection in Plant Breeding.
Quantitative Trait (QTL) Mapping: Linkage Theory, Classical Gene-Marker Linkage Analysis and QTL, Theory-Methods of QTL Mapping, Applications of QTL Mapping Concepts of QTL Selection with Genetic Markers (MAS), Direct and Indirect Selection Based on Trait Coding Genes targets.