Breeding Programme Modelling with AlphaSimR

By 2050, the world will require 70% more food for a global population of 9.6 billion. Breeding programmes are key for managing and improving populations in wild and domestic agriculture. So, how do we sustainably feed an ever-increasing population? How can we design and upgrade breeding programmes using data science? In this course, you will develop skills to model breeding programmes for livestock, crop, insect and managed wild or captive populations using case studies in AlphaSimR. 

This course will help you learn:  

• How to create and improve breeding programmes
• Tools such as modelling and big data can be used for breeding programmes
• How to test different scenarios to meet objectives R scripting  

For anyone interested in modelling programmes in real-world contexts.  

Introductory: no previous knowledge required