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Correlation between average root diameter estimates was weaker, due to the sensitivity of this parameter to thresholding and filtering of image background noise. IJ_Rhizo “Kimura” and WinRHIZO™ “Tennant” were the length estimates that were best linearly correlated with each other. IJ_Rhizo and WinRHIZO™ estimates were compared by means of correlation and regression analysis. We compared IJ_Rhizo’s performance with that of the commercial package WinRHIZO™ using two sets of images, one comprising test-line images, the second consisting of images of root samples collected in the field. A comparison of IJ_Rhizo’s performance with that of the widely used commercial package WinRHIZO™ is discussed. Being open-source based, it is also fully modifiable to accommodate the specific needs of the more computer-literate users. IJ_Rhizo is open-source, platform-independent and offers a simple graphic user interface (GUI) for a main audience of non-programmer scientists. This paper provides an overview of the measuring capabilities of IJ_Rhizo, an ImageJ macro that measures scanned images of washed root samples.
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