Determining Short Fiber Content in Cotton

Abstract

Based on large data sets from three consecutive cotton crop years, linear models for SFW and SFN in terms of the HVI length parameters have been developed. The necessity of modifying the Suter-Webb array distributions is justified. The results are discussed in light of the concept of "similarity" related to fiber length distributions, as defined in Part I. Using normalized regression equations, UI is demonstrated to have a stronger influence on SFC than the range parameters (UHM, ML). The terms UI, UHM, ML are standard measurements of the HVI instruments and have been defined in the text. The models developed in this study have been compared with the one developed by Preysch in 1979, and the relative improvement over Preysch's method is discussed.