The objective will be for students to learn: 
1) statistical methods in crop science
2) commonly used experimental design used in the crop sciences
3) procedures for effective field trials in the crop sciences

Research methods and design in crop science

- Review of statistical concepts

- Increasing the accuracy of experiments

- Hypothesis testing

Type I and type II errors, p-value, choice of level of 
significance, the usefulness of a test

Design and analysis of single factor experiments

- Completely randomized designs

- Randomized complete block designs

- Latin Square

Design and analysis of multiple factor experiments

- Factorial treatment designs

- Various experimental designs for factorial treatment designs

- Confounding

- Split-plot treatment designs

Split plot, strip plot, split-split plot

- Incomplete block designs

Balanced incomplete block designs (BIBD)

Partially balanced incomplete block designs

- Designs with a single rep for some treatments and multiple 
reps for checks

- Lattice designs

- Balanced square lattices

- Partially balanced square lattices

- Rectangular lattices

- Lattice squares

- Combining experiments - Analysis of results across locations 
and years

- Repeated measures and crossover designs

- Analysis across locations and years for forage experiments or 
perennial field crops (where arrangement of treatments in the 
field at a location remain constant across years; with and 
without multiple harvest each year)