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Several methods have been used by researchers to determine the optimum size of experimental plot and control of experimental error. The most widespread are: empirical method of Smith, method of visual inspection of maximum curvature, method of maximum curvature coefficient of variation. Some methods of segmented model adjustment was recently proposed to (linear with plateau) to determine the optimum plot size. All methods mentioned above have used data from assays for measuring uniformity variability between possible plot sizes. The data used in this study were obtained through computer simulation data of a uniformity test. The goal proposed in this paper is to use statistical techniques to determine the optimal sample size. We conclude the optimum plot size was achieved by the method of maximum curvature coefficient of variation which showed a R2 of 0.9818.

Parcela ótima para a cultura do cafeeiro obtido por simulação de dados com variâncias conhecidas