Cereal Chem. 70:430-434 | VIEW
ARTICLE
Statistical Analyses of Gliadin Reversed-Phase High-Performance Liquid Chromatography Patterns of Hard Red Spring and Hard Red Winter Wheat Cultivars Grown in a Common Environment: Classification Indices.
G. L. Lookhart, T. S. Cox, and O. K. Chung. Copyright 1993 by the American Association of Cereal Chemists, Inc.
Reversed-phase high-performance liquid chromatography was used to analyze gliadins extracted from grain harvested from 12 hard red winter (HRW) and 12 hard red spring (HRS) wheat cultivars grown in a common environment. Visual examination of the gliadin patterns did not distinguish the two wheat classes by the presence or absence of any one particular peak. The peak heights at each time interval from each cultivar were analyzed through cluster, principal component, and canonical analyses. Cluster analyses, based on closest (Euclidean) distances, produced five clusters plus six HRW cultivars that did not fall into any cluster. In the five clusters, two contained only HRS cultivars, two contained only HRW cultivars, and one contained both HRW and HRS cultivars. Principal component analysis showed that the first principal component (PC1) explained 21% of the total variation among cultivars, primarily separating HRW and HRS classes with only minor overlap. The first three principal components together explained nearly half (44%) of the total variation. In these three major dimensions, there was greater scatter within the HRW class than within the HRS class. Canonical analyses demonstrated that the correlation between PC1 and the first canonical variable was 0.79, indicating that the cultivars and classes were in similar groups. Even though both PC1 and the first canonical variable separated HRW and HRS classes, HRW cultivars occurred among the HRS cultivars in both analyses. Canonical discriminate analysis, based on gliadin reversed-phase high-performance liquid chromatography, allocated all cultivars to their correct classes, except for the HRW cultivars TAM 105 and TAM 107.