Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
2 |
2 |
8 |
15 weeks |
120 hours |
Instructor
Michele Jorge Silva Siqueira
Objective
Introduce the theoretical and practical fundamentals of biometrics, basic notions of experimentation,
statistical analysis and interpretation of experimental data in Genetics and Breeding.
Content
Introduction to Biometrics; Introduction to linear algebra. Introduction to programming for geneticists.
Linear models applied to Genetics and Breeding: simple and multiple linear regression; analysis of
variance. Statistical inference: parameter estimation; hypothesis tests; multiple tests. Introduction to
mixed models in Genetics and Breeding: fixed and random effects; BLUP (Best Linear Unbiased
Prediction). Selection of variables. Comparison and selection of models. Experimental designs: definition
and statistical analysis of experiments used in Genetics and Breeding. Variance components. Genetic
correlations: analysis of multiple environments and multiple traits.
Bibliography
GALECKI, A.; BURZYKOWSKI, T. Linear Mixed-Effects Models Using R: A Step-by-Step Approach.
Springer-Verlag, 2013.
KEMPTHORNE, O. The design and analysis of experiments. John Wiley & Sons, 1973.
KRUSCHKE, J. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, 2nd Edition. Academic
Press, 2014.
MAINDONALD, John; BRAUN, John. Data analysis and graphics using R: an example-based approach.
Cambridge University Press, 2006.
MONTGOMERY, D.C. Design and analysis of experiments. John Wiley & Sons, 1991.
RENCHER, A.C.; SCHAALJE, G.B. Linear Models in Statistics, 2nd Edition. John Wiley & Sons, 2008.
SNEDECOR, G.W.; COCHRAN, W.G. Statistical methods. Iowa State University Press, 1980.
SOKAL, R.R.; ROHLF, F.J. Biometry: the principles and practice of statistics in biological research. Freeman & Company, 1981.
STEEL, R.G.D.; TORRIE, J.H. Principles and procedures of statistics. MacGraw-Hill Book Company, 1980.
Various scientific articles.