Observations in neighboring plots of variety trials are often spatiall
y dependent. This may reduce the utility of applying the classical ana
lysis of variance (ANOVA) due to trends and correlated errors. Identif
ying the presence, magnitude, and pattern of spatial heterogeneity is
useful for assessing the utility of ANOVA. Our objectives were to esti
mate the effects of spatial heterogeneity on the independence of error
s, and appraise a nearest-neighbor analysis (NNA) to improve the analy
sis of a variety trial experiment. A semivariogram for organic C at on
e field site showed a substantial soil spatial dependence and was cons
istent with the semivariogram for residuals in grain yield. Semivariog
rams of classical residuals for grain yield had large nugget variances
and exhibited spatial structure. Similarly, semivariograms of the non
classical residuals showed large spatial dependence, accounting for 40
to 80% of the sample variance. Genotype effects were not always stati
stically significant when the raw data were analyzed using ANOVA. The
NNA was used to adjust data for the effects of large- and small-scale
spatial dependencies in the variety trial experiment. The ANOVA on NNA
-adjusted data showed highly significant P less-than-or-equal-to 0.01)
genotypic effects. The improved analysis also showed reduced error va
riance (from 57-78%), and dramatically increased R2 values compared wi
th the ANOVA on unadjusted data. The estimates of variance between gen
otypes from ANOVA on unadjusted data were from 99% smaller to 63% larg
er than the error variance. On the other hand, the variance component
estimates between genotypes from ANOVA on adjusted data ranged from 0
to 300% larger than the error variance. The spatial heterogeneity can
have serious effects on the interpretation of variety trials experimen
ts. In general, nonclassical deviations appear more sensitive to the e
ffects of spatial heterogeneity than classical residuals, and are more
useful as a test for violations in the classical assumption of spatia
l independence.