Quantitative Genetics

Applied learning e-modules will be used to expose students to application of quantitative genetic models to plant breeding populations. Specific topics include conducting and interpreting Multi-Environment Trials, Resource allocation using engineering Principles, Genetic Modeling of Quantitative Traits, Simulation Modeling, Variance, covariance and Heritability, Prediction, Selection and Genetic Gain. The roles of molecular genetic tools are fully integrated into these topics.

Coordinator: William Beavis
Collaborating Faculty in Africa:
  • KNUST: Richard Akromah, Joseph Sarkodie-Addo, Maxwell Asante
  • MAK: Richard Edema, Paul Gibson, Settumba Mukasa, Patrick Ongom
  • UKZN: John Derera, Pangirayi Tongoona, Hussein Shimelis
Click here to view all topics covered in the Quantitative Genetics e-learning modules.

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