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Xuejuan Chen, Ming Sun, Jianguo Liang, Hui Xue, and Qixiang Zhang

similarity among plants was estimated with Jaccard’s similarity coefficient. Cluster analyses of similarity matrices were achieved by using the UPGMA in NTSYS-pc Version 2.1q ( Rohlf, 2000 ). Results AFLP polymorphisms. Most selective E + 3/M+3 primer

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Peter J. Leonard, Mark H. Brand, Bryan A. Connolly, and Samuel G. Obae

monomorphic markers from the group of 36 A. mitschurinii markers that were polymorphic with wild Aronia accessions. Genetic similarity matrix and cluster analysis. Cophenetic correlation values for Jaccard’s and Dice similarity coefficients were compared

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Jonathan D. Mahoney, Thao M. Hau, Bryan A. Connolly, and Mark H. Brand

manual adjustment of each peak to ensure accurate scoring. Jaccard’s similarity coefficients were calculated using the vegan ( Oksanen et al., 2017 ) package in R. Results Phenotypic observations. All diploid maternal A. melanocarpa accessions produced

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Sima Taheri, Thohirah Lee Abdullah, Nur Ashikin Psyquay Abdullah, and Zaiton Ahmad

Taxonomy and Multivariate Analysis System (NTSYSpc2.10e; Rohlf, 2002 ). The genetic similarity for all pairwise comparisons was computed using Jaccard’s coefficient. The similarity matrix was used to create the dendrogram using the unweighted paired group

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Jacob Mashilo, Hussein Shimelis, Alfred Odindo, and Beyene Amelework

bottle gourd using 14 simple sequence repeat markers based on districts of collection. Cluster analysis. Jaccard’s coefficient of similarity values ranged from 0.07 to 1.0, with a mean of 0.63 among the 67 landraces (data not shown). Among the test bottle

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Mozhgan Zangeneh and Hassan Salehi

were scored and the data matrices of the ISSR fragments were accumulated for further investigation. These data were applied to generate a similarity matrix based on Jaccard’s coefficients by using the SIMQUAL program in the NTSYS-PC software package

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Darren H. Touchell, Thomas G. Ranney, Dilip R. Panthee, Ronald J. Gehl, and Alexander Krings

accession. Only the most distinguishable and reproducible bands were scored and used for analysis. Estimates of genetic similarity were calculated for the 31 accessions using Jaccard coefficient of similarity. A visual representation of the association

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Chandra S. Thammina, David L. Kidwell-Slak, Stefan Lura, and Margaret R. Pooler

based on the Jaccard similarity coefficient using NYSYSpc software, version 2.02 ( Rohlf, 1998 ). Accessions were then clustered using the UPGMA algorithm in NTSYSpc. Cophenetic matrices were constructed and compared with the similarity matrices using

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Unaroj Boonprakob and David H. Byrne

Diploid plums such as Prunus salicina, P. simonii, P. cerasifera, P. americana, P. angustifolia, P. mexicana, and their hybrids have a high level of RAPD polymorphisms. Of 71 successfully used primers, there are 417 reproducible RAPD markers and only 55 (13%) markers are not polymorphic. Genetic relationships of these diploid plums based on RAPD data is estimated using genetic distance (GD) defined as GDij = 1 – Sij, where Sij is similarity coefficient. Two similarity coefficients, Jaccard's and simple matching coefficient, are compared. Simple matching always yields higher similarity coefficients. Genetic distance within and between each gene pool: California, southeastern U.S., foreign, is estimated. Genetic distances of these diploid plums ranged from 0.32 to 0.68, and agreed well with the natural geographic distribution of the species. The cluster analysis using unweighted pair-group methods using arithmetic averages (UPGMA) was used to construct phenograms to summarize the relationships among these cultivated diploid plums and plum species.

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M.M. Paz and R.E. Veilleux

We thank Khidir Hilu for help with analysis of genetic relationships by UPGMA and M. Saghai Maroof for help with molecular techniques. This research was supported by grant no. US-2053-91C from BARD, the U.S.-Israel Binational Agricultural Research