2020-10-212020-10-212005-02DUARTE, João Batista; VENCOVSKY, Roland. Spatial statistical analysis and selection of genotypes in plant breeding. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 40, n. 2, p. 107-114, Feb. 2005.0100-204Xe- 1678-3921http://repositorio.bc.ufg.br/handle/ri/19167The objective of this study was to evaluate the efficiency of spatial statistical analysis in the selection of genotypes in a plant breeding program and, particularly, to demonstrate the benefits of the approach when experimental observations are not spatially independent. The basic material of this study was a yield trial of soybean lines, with five check varieties (of fixed effect) and 110 test lines (of random effects), in an augmented block design. The spatial analysis used a random field linear model (RFML), with a covariance function estimated from the residuals of the analysis considering independent errors. Results showed a residual autocorrelation of significant magnitude and extension (range), which allowed a better discrimination among genotypes (increase of the power of statistical tests, reduction in the standard errors of estimates and predictors, and a greater amplitude of predictor values) when the spatial analysis was applied. Furthermore, the spatial analysis led to a different ranking of the genetic materials, in comparison with the non-spatial analysis, and a selection less influenced by local variation effects was obtained.engAcesso AbertoAugmented designGeostatisticsMixed modelAutocorrelationInformation recoveryCorrelated dataDelineamento aumentadoGeoestatísticaModelo mistoDados correlacionadosRecuperação de informaçãoAutocorrelaçãoArtigo10.1590/S0100-204X2005000200002