A linkage map for sugi was constructed on the basis of restriction fragment length polymorphism (RFLP), random amplified polymorphic DNA (RAPD), and isozyme loci using a three-generation pedigree prepared for genetic analysis of heartwood color. A total of 128 RFLP (123 cDNA and 5 genomic probes), 33 RAPD, 2 isozyme, and 1 morphological (dwarf) loci segregated in 73 progeny. Of the 164 segregating loci, 145 loci were distributed in 20 linkage groups. Of these loci, 91 with confirmed map positions were assigned to 13 linkage groups, covering a total of 887.3 cM. A clustering of markers with distorted segregation was observed in 6 linkage groups. In the four clusters, distortions with a reduction in the number of homozygotes from one parent only were found.

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We have developed a method to identify cultivars of Rhus succedanea L. based on their fruit contour shape. For this, we collected fruits of five cultivars from three different environments (differing in site and/or year of collection) and the horizontal contour shape of each fruit was expressed by 37 elliptic Fourier descriptors, normalized in terms of size, rotation, shift and starting point of contour tracing. The first six components derived from a principal component analysis of the elliptic Fourier descriptors explained 89 % of the variance. The differences among cultivars, environments and the cultivar x environment interaction were significant at the 0.01% probability level for all six principal components according to ANOVA. UPGMA cluster analysis based on the six principal components showed a high degree of clustering and most (but not all) ramets from the same cultivar clustered together. However, results of a UPGMA cluster analysis of Mahalanobis' generalized distances among cultivars and environments, based on the 37 elliptic Fourier descriptors, showed that samples from the same cultivars clustered together, regardless of the environmental factors. We then applied a 'similarity probability' test, based on Mahalanobis' generalized distances and a randomization test. The similarity probabilities between descriptors in the database and sampled fruits, when the cultivars they represented were included in the database, were > 97 %. In contrast, for samples representing cultivars that were not included in the database, the probabilities were < 46 %. These figures also apply to pairs of samples included in the database that represented the same cultivar, and different cultivars, respectively. These results suggest that it is possible to identify R. succedanea cultivars based on fruit contour shape using elliptic Fourier descriptors and similarity probability analysis.