Advanced Quantitative Genetics

This is an advanced course in Quantitative Genetics that aims at describing some advanced level topics for students who wish to pursue research in Statistical Genetics. This course prepares students for undertaking research in this area. This also helps prepare students for applications of this important subject in plant and animal breeding.

 

  • Prediction and estimation of genetic merit. Best linear unbiased prediction, Use of mixed model methodology in analysis of animal and plant breeding experiments. Newer reproductive technology and its effect in genetic evaluation of individual merit. Estimation of genetic parameters - problems relating to computational aspects of genetic variance components, parameter estimation in variance component models for binary response data.

 

  • Identification of genes with large effects, Use of molecular markers (RFLP, PCR-AFLP, RAPD and SSR), Gene mapping and Quantitative trait loci. Molecular manipulation for genetic variability.

          

  • Survival analysis and concept of censored observation in animal breeding. Phylogeny and analysis of molecular variance. Genetic diversity, Association mapping.

 

Prediction and estimation of genetic merit, Best linear unbiased prediction, Use of mixed model methodology in analysis of animal and plant breeding experiments.