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ON THE DESIGN OF FIELD EXPERIMENTS UNDER A ONE-DIMENSIONAL NEIGHBOUR MODEL
Authors:Alan C  Gleeson John A  Eccleston
Institution:NSW Agriculture Research Centre, Tamworth, NSW 2340, Australia.;School of Information and Computing Sciences, Bond University, Private Bag 10, Gold Coast Mail Centre, Qld 4217, Austrdia.
Abstract:This paper examines the effect of randomisation restrictions, either to satisfy conditions for a balanced incomplete block design or to attain a higher level of partial neighbour balance, on the average variance of pair-wise treatment contrasts under a neighbour model discussed by Gleeson & Cullis (1987). Results suggest that smaller average pairwise variances can be obtained by ignoring requirements for incomplete block designs and concentrating on achieving a higher level of partial neighbour balance. Field layout of the design, although often determined by practical constraints, e.g. size, shape of site, minimum plot size and experimental husbandry, may markedly affect average pairwise variance. For the one-dimensional (row-wise) neighbour model considered here, investigation of three different layouts suggests that for a rectangular array of plots, smaller average pairwise variances can generally be obtained from layouts with fewer rows and more plots per row.
Keywords:Design efficiency  design layout  average pairwise variance  neighbour analysis  field experiments
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