Breeding programmes are key for managing and improving populations in agriculture, wild or captivity. This course details how to use the latest research to design a new, or upgrade an existing, breeding programme using (big-)data and data science. It achieves this by first, introducing the basic principles of in-silico modelling of breeding programmes and basic usage of R (highly transferable skills), particularly the package AlphaSimR (available at CRAN). Secondly, the accompanying online material showcases real life case studies of using AlphaSimR to effectively model breeding programmes for livestock, crop, insect and managed wild or captive populations. The course is self-sufficient, but participants can sign up to be part of particular cohorts, starting every 4 months.

 

Current project status

Report Date RAG Budget Effort Completed Effort to complete
August 2022 GREEN 0.0 days 0.0 days 0.0

Project Info

Project
In-silico Modelling of Breeding Programmes
Code
MOOC0037
Programme
Online Course Production (including MOOCs)
Management Office
ISG PMO
Project Manager
Fiona Buckland
Project Sponsor
Melissa Highton
Current Stage
Execute
Status
In Progress
Start Date
08-Jan-2020
Planning Date
n/a
Delivery Date
28-Jan-2022
Close Date
18-Mar-2022
Overall Priority
Normal

Documentation

Not available.

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