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Kadir Uğurtan Yılmaz, Sezai Ercişli, Bayram Murat Asma, Yıldız Doğan, and Salih Kafkas

dendrograms were generated using NTSYSpc version 2.11V (Exeter Software, Setauket, NY) ( Rohlf, 2004 ): unweighted pair group method of arithmetic average cluster analysis (UPGMA) and principal coordinate analyze (PCoA) based on the total number of amplified

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Alicia L. Rihn, Chengyan Yue, Charles Hall, and Bridget K. Behe

( Oppenheim, 2000 ). Specifically, Ward’s linkage cluster analysis has been used to identify consumer groups based on consumer behavior and sociodemographic variables ( Lessig and Tollefson, 1971 ; Zarantonello and Schmitt, 2010 ). Specific marketing efforts

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Benard Yada, Phinehas Tukamuhabwa, Bramwell Wanjala, Dong-Jin Kim, Robert A. Skilton, Agnes Alajo, and Robert O.M. Mwanga

among all pairs of individuals were calculated using the Nei and Li coefficient ( Nei and Li, 1979 ). The distance matrix was then subjected to cluster analysis using the unweighted pair group method using arithmetic averages (UPGMA) algorithm of NTSYS

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Sarah M. Bharath, Christian Cilas, and Pathmanathan Umaharan

number of accessions for the cluster analysis, only three fruit traits (weight, shape, and mature color) were used. These three traits were selected based on their primary importance for consumers and allowed the successful analysis of 234 accessions (≈89

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Noémi Makovics-Zsohár, Magdolna Tóth, Dezső Surányi, Szilvia Kovács, Attila Hegedűs, and Júlia Halász

program with K = 3 as found by simulation and Δ K likelihood method. The division of Q -value bar plot into three reconstructed populations corresponds to the three major significant clusters in the dendrogram. STRUCTURE analysis was carried out to

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Dong Liu, Ping Li, Jiulong Hu, Kunyuan Li, Zhenyu Zhao, Weiyan Wang, Jinyuan Zhang, Xu Ding, and Zhimou Gao

investigating genetic diversity in plants, animals, and fungi ( Barth et al., 2002 ; Budak et al., 2004 ). Furthermore, cluster analysis was an important focus of genetic diversity analysis. The currently popular dendrogram analysis was carried out by the

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Mahdi Fendri, Isabel Trujillo, Ahmed Trigui, María Isabel Rodríguez-García, and Juan de Dios Alché Ramírez

DICE coefficient and unweighted pair group method with arithmetic mean (UPGMA) cluster analysis of the simple sequence repeat (SSR) data obtained. A picture of a representative endocarp is included for each accession. On the other hand, a

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Jennifer A. Kimball, M. Carolina Zuleta, Matthew C. Martin, Kevin E. Kenworthy, Ambika Chandra, and Susana R. Milla-Lewis

arithmetic averaging; AFLP = amplified fragment length polymorphism. Four unique clusters were generated from UPGMA cluster analysis. The three samples representing the original ‘Raleigh selection’ (original stock 01–03) are located in Cluster II. Samples in

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Tyler Simons, Hanne Sivertsen, and Jean-Xavier Guinard

significant difference test. Fig. 3. Child liking of taste by cluster for each navel orange sample. Children were clustered based on their preferences using Ward’s agglomeration method and validated through analysis of variance. Numbers correspond to the 7

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Viji Sitther, Dapeng Zhang, Sadanand A. Dhekney, Donna L. Harris, Anand K. Yadav, and William R. Okie

accessions, pairwise genetic distance was computed using the distance procedure in GenAlEx 6 ( Peakall and Smouse, 2006 ). Cluster analysis was used to further examine the genetic relationship among accessions. Kinship coefficient among individual accessions