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Jericó J. Bello-Bello, Lourdes G. Iglesias-Andreu, Susana A. Avilés-Viñas, Eunice Gómez-Uc, Adriana Canto-Flick, and Nancy Santana-Buzzy

’s coefficient method. The similarity matrixes were subjected to cluster analysis by unweighted pair group method with arithmetic averages; the resulting cluster was expressed as a dendrogram constructed from matrices that included monomorphic and polymorphic

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Chunxian Chen and William R. Okie

( Cao et al., 2016 ; Thurow et al., 2020 ). For example, genetic distance analysis of 48 SSRs and 653 peach accessions in a Chinese breeding collection clustered the accessions into two main groups: one with only four wild peach species and the other

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Fanjuan Meng, Ruoding Wang, Mu Peng, Chao Wang, Zhongkui Wang, Fachun Guan, and Yajun Li

( Fig. 2 ). The similarity coefficients among all populations ranged from 0.77 to 0.97, with an average value of 0.87. According to UPGMA dendrogram analysis, 70 samples were clustered into three groups in a common node at similarity coefficient of 0

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Salih Kafkas, Yıldız Doğan, Ali Sabır, Ali Turan, and Hasbi Seker

. ISSR and RAPD protocols are technically simple as opposed to the technically demanding AFLP method. However, AFLP seems to be more powerful than RAPD and ISSR due to the higher number of bands produced. Genetic similarities and cluster analysis. Genetic

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Guangtian Cao, Tingting Song, Yingyue Shen, Qunli Jin, Weilin Feng, Lijun Fan, and Weiming Cai

beta diversity in the five stages are listed in E and G . Based on unweighted and weighted unifrac distance, the cluster dendrogram of relative abundance in phylum level are listed in F and H . Ternary plot and LEfSe analysis of fungi. Figure 7A

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Salih Kafkas, Sezai Ercişli, Yıldız Doğan, Yaşar Ertürk, Ayhan Haznedar, and Remzi Sekban

2.11V; Exeter Software, Setauket, NY) ( Rohlf, 2004 ) based on the unweighted pair group method with arithmetic mean cluster analysis (UPGMA). Jaccard coefficients were calculated for all pairwise comparisons among the 32 tea genotypes using the same

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Haiying Zhang, Guoyi Gong, Shaogui Guo, Yi Ren, Yong Xu, and Kai-Shu Ling

curled downward and the first true leaf curled upward; 7 = the whole plant showed desiccation. Cluster analysis. Cluster analysis is a common method for quantitative classification for large data sets, which has been widely used for classifying germplasm

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Dan Jin, Philippe Henry, Jacqueline Shan, and Jie Chen

( Ward, 1963 ) and principal component analysis (PCA) ( Jolliffe, 2002 ) were used to check within-cultivar variation and between-cluster variation. Finally, the data were subjected to supervised canonical correlation analysis with preassigned chemotypes

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Qing Shen, Hua Bian, Hai-yan Wei, Li Liao, Zhi-yong Wang, Xiao-yan Luo, Xi-peng Ding, Zhenbang Chen, and Paul Raymer

morphological and amplified fragment length polymorphism (AFLP) analysis; the results showed that the genetic distance of morphology was consistent with the clustering result of similarity coefficient of AFLP markers ( He et al., 2011 ). The optimization of

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Ambika B. Gaikwad, Tusar Kanti Behera, Anand K. Singh, Devanshi Chandel, Jawahir L. Karihaloo, and Jack E. Staub

based on Jaccard's coefficient of similarity ( Jaccard, 1908 ) after cluster analysis of Indian bitter gourd ( Momordica charantia L.) accessions using 519 amplified fragment length polymorphism markers. Geographic origin of each accession is given in