Breeding Programme Modelling with AlphaSimR
Offered By: University of Edinburgh via edX
Course Description
Overview
This online course will equip participants with an understanding of computer modelling of breeding programmes to enhance genetic improvements in agriculture. The modelling is done through the AlphaSimR package.
The package provides a set of functions that represent breeding activities. The combination of these functions in an R script allows the modelling of simple and arbitrarily complex breeding programmes. It also allows evaluation of the effects of alternative breeding scenarios on the rate of genetic improvement and other key performance indicators.
The course is taught by experts in the field and is applicable to a range of breeding programmes as demonstrated through local and global case studies.
Wheat field image by Alf Ceplitis.
Syllabus
Week 1: Introduction to breeding programme modelling
Week 2: Relationship between DNA & traits
Week 3: DNA Lottery
Week 4: Response to selection
Week 5: Modelling complex breeding programmes
Taught by
Gregor Gorjanc, Ivan Pocrnic, Steph Smith, Laura Strachan and Gabriela M. Fortuna
Tags
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera