02107naa a2200289 a 450000100080000000500110000800800410001910000180006024500790007826000090015750001120016652011670027865000200144565000180146565300210148365300210150465300200152565300260154565300270157165300200159865300250161865300160164365300170165965300340167670000180171077300890172811138482018-08-03       2005    bl uuuu     u00u1 u    #d1 aDUARTE, J. B.  aSpatial statistical analysis and selection of genotypes in plant breeding.  c2005  aTítulo em português: Seleção de genótipos e análise estatística espacial no melhoramento de plantas.  aThe 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.  aautocorrelation  ageostatistics  aaugmented design  aautocorrelação  acorrelated data  adados correlacionados  adelineamento aumentado  ageoestatística  ainformation recovery  amixed model  amodelo misto  arecuperação de informação1 aVENCOVSKY, R.  tPesquisa Agropecuária Brasileira, Brasília, DFgv. 40, n. 2, p. 107-114, fev. 2005