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SOFTWARE

Software for Measuring Root Characters from Digital Images

Dep. of Crop and Soil Sci., The Univ. of Georgia, 1109 Experiment St., Griffin, GA 30223-1797

* Corresponding author (kingram{at}griffin.peachnet.edu)

Received for publication February 22, 2000. Root research methods are often tedious, labor intensive, and prone to large variability. Minirhizotron technology has the potential to greatly enhance root research capabilities, but quantifying minirhizotron data is very time consuming. This note presents new software that allows rapid, accurate measurement of root length from digital images—Root Measurement System (RMS). In addition to measuring root lengths and diameters, RMS records number of roots in an image and calculates their total volume, total surface area, and length density. Ten untrained RMS users averaged 654 ± 42 s to measure the length of a 24 mm s-shaped line 10 times. The standard error of the mean for repeated length measurements was <0.1 mm for all but one of the operators. In a subsequent test with 10 different operators having various levels of experience, operators averaged a total of 2324 ± 213 s to measure the lengths and diameters of 10 images of pseudo roots made from wires. There was no significant difference among operators for total length measured, but operators did differ in lengths apportioned among 0.1-mm-diam. classes. For minirhizotron images collected in a field study, an experienced operator could analyze from 17 to 38 images h^-1 depending on number and length of roots in the images. With its speed, accuracy, and versatility, RMS offers the possibility to analyze sufficient numbers of minirhizotron images to allow detection of treatment effects in field research.

Abbreviations: RMS, Root Measurement System