Quantitative Methods

Common statistics used in agriculture research. Experimental design in plant breeding and genetics (e.g. multi-environment trial, randomized complete block design, and completely randomized design). Analysis of variance, regression, and correlation. Field book generation, data organization, quality checking, and graphical plotting. Data analysis using common software packages. Repeatability and heritability calculation. Procedures for missing data. Result presentation, interpretation, and summary. Several applied learning e-modules with relevant data will be implemented throughout the course.

Coordinator: Thomas Lübberstedt, William Beavis
Collaborating Faculty in Africa:
  • KNUST: Richard Akromah, Joseph Sarkodie-Addo, Maxwell Asante
  • MAK: Richard Edema, Paul Gibson, Thomas Odong, Margaret Nabasirye
  • UKZN: John Derera, Julia Sibiya
Click here to view all topics covered in the Quantitative Methods e-learning modules.

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