Video tutorials

Partially replicated designs in CycDesigN 8

P-rep designs are commonly used in early generation breeding trials where there are a large number of treatments to be screened and not much material available. Here we explore single location and multi-location p-rep designs, laid out in either blocks or rows and columns, and with or without standards. We also look at how to generate a spatial row-column p-rep design to ensure good separation of duplicated treatments and standards.
Piepho et al. reference paper details the examples used in this video.

Also available for download is Your quick start guide to p-rep designs in CycDesigN 8

CycAnalysis

Within CycDesigN, the CycAnalysis feature enables you to produce both Genstat and SAS code so that you can analyse most of the generated designs. This covers the main design types, such as resolvable and non-resolvable designs, partially replicated and crossover designs. It also includes all of the different treatment structures, namely single factor, factorial and nested.

Resolvable designs

Where possible it is usually advantageous to construct resolvable designs. With such designs a term for replicates can be included in the analysis to remove extraneous variation in a very efficient manner; we say that replicates and treatments are orthogonal to each other.

Neighbour balance and evenness of distribution

A common problem with classical randomized row-column designs is that replications of a treatment may be clustered together or appear as self-diagonals and some pairs of treatments may appear next to each other rather more often than others.

A spatial (NB&ED) block design or row-column design takes into account the separation of different treatments in blocks. CycDesigN can adapt block and row-column designs to achieve good neighbour balance and evenness of distribution.

You can view the reference article by clicking the following link: Generating row-column field experimental designs with good neighbour balance and even distribution of treatment replications

Updated on December 8, 2022

Was this article helpful?

Yes No