ARS | Publication request: Relationships of Single Kernel Characterization System Variables and Milling Quality and Flour Protein Content in Soft White Winter Wheats

Submitted to: American Association of Cereal Chemists Meetings
Publication Type: Abstract Only
Publication Acceptance Date: June 1, 2007
Publication Date: July 1, 2007
Citation: Ohm, J., Ross, A., Peterson, J.C. 2007. Relationships of Single Kernel Characterization System Variables and Milling Quality and Flour Protein Content in Soft White Winter Wheats. American Association of Cereal Chemists Meetings. Cereal Foods World Supplement 2007 52(4):A55.

Technical Abstract: Single Kernel Characterization System (SKCS) was used to analyze 222 soft winter wheat samples harvested in 2005 and 2006 in Oregon. Among SKCS characteristics, kernel diameter had significant correlations with flour yield (FY, r=0.675, P<0.001), and flour protein content (FPC, r=-0.565, P<0.001). Hardness index had significant correlations with break flour yield (BFY, r=-0.424, P<0.001). Crush length was significantly correlated with FY (r=0.678, P<0.001), BFY (r=0.274, P<0.001), and FPC (r=-0.572, P<0.001). Variables were also estimated by rheological interpretation of kernel crushing-response profile (CRP) data. The CRP (740 data points), Dy-histogram (101 data points), and conductance profile (147 data points) were obtained for each wheat sample and simple linear correlation coefficients were calculated with FY, BFY, and FPC. The CRP data point that showed the highest crushing force of kernel was significantly correlated with FY (r=0.669, P<0.001), BFY (r=0.336, P<0.001), and FPC (r=-0.610, P<0.001). CRP force values around shell and endosperm collapse points had significant positive correlations with FY and BFY and negative correlations with FPC. Among CRP values, FY had a most significant correlation with 402th point (r=0.67, P<0.001), BFY with 23rd point (r=0.27, P<0.001), and FPC with 383rd point (r=-0.53, P<0.001). Multivariate analyses were applied to develop prediction models of FY, BFY, and FPC, using SKCS variables. For calibration of model, 144 samples were randomly selected and the remaining 78 samples were used for validation. Calibration models showed R2 value of 0.662, 0.466, and 0.712 for FY, BFY, and FPC, respectively. Validation showed R2 value of 0.568, 0.556, and 0.665 for the same quality characteristics. These results suggest that SKCS could be applied for milling quality and protein content evaluation in soft wheat breeding program.