Select a statistical design to start generating your experimental field layout.
Completely Randomized Design for homogenous experimental units.
Randomized Complete Block Design to control local variation.
Randomized Block Design for heterogeneous field arrangements.
Control two sources of variation with rows and columns.
Test many new treatments with replicated checks in blocks.
Evaluate main effects and interactions of multiple factors.
Design for factors requiring different plot sizes/precision.
Three levels of factors assigned to sub-sub-plots.
Factors applied in perpendicular strips (criss-cross design).
Split families or populations across multiple locations.
Resolvable incomplete block design for large numbers of treatments.
Balanced lattice design where treatments (t) is a perfect square (k²).
Lattice design for t = s(s-1) treatments, enabling flexible sizing.
Un-replicated design with diagonal check arrangements.
Diagonal checks arrangement across multiple experiments.
Heuristic spatial optimization for check distribution.
Partially Replicated design with spatial optimization.
Control heterogeneity in two directions within replicates.
General Incomplete Block Designs for flexible block sizes.
Efficiently distribute lines across locations with sparse testing.