Archive versions can be downloaded from your browser for both IBM-compatible PC and Macintosh computers. This documentation sketches relevant statistical theory, explains program utilization, and provides a sample output. The yield increases achieved through breeding and yield-trial experiments depends not only on the number of crosses and number of yield plots, but also on the statistical design and analysis of the experiments. Indeed, improvement of an experiment's design and analysis is frequently the most cost-effective means available for increasing research payoffs and yield gains. An efficient experiment with 400 plots can outperform an unwise experiment with 2000 plots while at the same time costing far less.
Progress depends on both the size and efficiency of a research project.
Increasing the number of genotypes includes more of the markedly superior entries, while increasing the number of replications improves accuracy and hence promotes correct identification of the truly superior entries. It also quantifies the deleterious impact of suboptimal choices. It is applicable to trials with at least three genotypes and three environments. That is, the design and the analysis of an experiment interact, so the best design depends on the efficiency of the analysis. Efficient experiments require good designs and good analyses, appropriately integrated.