GrainGenes Reference Report: CSS-35-2299
Reference
CSS-35-2299
Title
Using geostatistics to find optimum plot size for field research experiments
Journal
Communications in Soil Science and Plant Analysis
Year
2004
Volume
35
Pages
2299-2310
Author
Bhatti AU
Abstract
Soil variability introduces an extra source of variation in field experiments and inflates the experimental error. Uniformity field trial data on rice yield were used for mapping crop productivity and studying variability in yields. Various statistical procedures such as field plot and frequency analysis, semivariogram analysis and trend analysis were used to study the nature and magnitude of variability in the data and effect of plot size on variability. Results showed that there was a considerable variation in yield data from different plot sizes. Spatial patterns in yields from all plot sizes were observed. Semivariogram analysis of residuals showed that plot sizes of 1 x 4, 3 x 4, 3 x 5, and 4 x 5 m2 had random variability and can be used in field experiments to minimize the effect of spatial variability on true treatment effects
Keyword
[ Hide all but 1 of 11 ] field experimentation geostatistics grain yield mapping Oryza sativa plot size productivity rice size soil heterogeneity spatial variation
GrainGenes is a product of the Agricultural Research Service of the US Department of Agriculture.
GrainGenes Reference Report: CSS-35-2299
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GrainGenes is a product of the Agricultural Research Service of the US Department of Agriculture. | |||