
%0 Journal Article
%A Lee, Juhwan 
%A Plant, Richard E. 
%T <i>Corrigendum to</i>: A method for soil management assessment in an unreplicated commercial field
%J Soil Research
%D 2022/09/09
%V 60
%N 7
%P 755-755
%K 
%R https://doi.org/10.1071/SR21090_CO
%U https://www.publish.csiro.au/paper/SR21090_CO 
%X Context: Unreplicated trials are common in agriculture. However, statistical inferences differ from those of traditional experiments based on small, replicated plots.   Aims: To present a method to assess management effects on soil carbon (C) storage from unreplicated, side-by-side field trials.   Methods: Two estimates of means with spatially correlated errors are compared using a corrected t-statistic. Then causal inference is made by analysing a significant difference between the means (P   Key results: The results show that crop C yield did not differ between the fields when using the same tillage practice but was greater in the tilled than the no-till field. The results also suggest that total and particulate organic matter-C contents depend on tillage history. For comparative purposes, the data were also analysed using standard mixed model analysis with a semivariogram model for spatial autocorrelation among the residuals. The mixed model results were generally similar to those of the corrected t-statistic method. The mixed model was often, but not always, less conservative than the corrected t-statistic model.   Conclusions: The method allows analysis of whole-field data and improves our understanding of soil C processes in commercial fields, where agricultural assessment cannot involve replication due to agronomic and economic constraints.   Implications: The method complements observational data analyses and can offer a direction towards whole-field management. 
