Dendrogram

Heliconia phenotypic diversity based on qualitative descriptors

W. N. R. Guimarães, Martins, L. S. S., Castro, C. E. F., Filho, J. L. S. Carvalho, and Loges, V., Heliconia phenotypic diversity based on qualitative descriptors, vol. 13, pp. 3128-3142, 2014.

The aim of this study was to characterize Heliconia genotypes phenotypically using 26 qualitative descriptors. The evaluations were conducted in five flowering stems per clump in three replicates of 22 Heliconia genotypes. Data were subjected to multivariate analysis, the Mahalanobis dissimilarity measure was estimated, and the dendrogram was generated using the nearest neighbor method.

Allelic database and accession divergence of a Brazilian mango collection based on microsatellite markers

I. C. Ndos Santos Ribeiro, Neto, F. P. Lima, and Santos, C. A. F., Allelic database and accession divergence of a Brazilian mango collection based on microsatellite markers, vol. 11, pp. 4564-4574, 2012.

Allelic patterns and genetic distances were examined in a collection of 103 foreign and Brazilian mango (Mangifera indica) accessions in order to develop a reference database to support cultivar protection and breeding programs. An UPGMA dendrogram was generated using Jaccard’s coefficients from a distance matrix based on 50 alleles of 12 microsatellite loci. The base pair number was estimated by the method of inverse mobility. The cophenetic correlation was 0.8. The accessions had a coefficient of similarity from 30 to 100%, which reflects high genetic variability.

Genetic variability of watermelon accessions based on microsatellite markers

R. N. Cde S. Gama, Santos, C. A. F., and R. Dias, deC. S., Genetic variability of watermelon accessions based on microsatellite markers, vol. 12, pp. 747-754, 2013.

We analyzed the genetic variability of 40 watermelon accessions collected from 8 regions of Northeastern Brazil using microsatellite markers, in order to suggest strategies of conservation and utilization of genetic variability in this species. These accessions are not commercial cultivars. They were sampled in areas of traditional farmers that usually keep their own seeds for future plantings year after year. An UPGMA dendrogram was generated from a distance matrix of the Jaccard coefficient, based on 41 alleles of 13 microsatellite loci.

Genetic diversity studies in pea (Pisum sativum L.) using simple sequence repeat markers

P. Kumari, Basal, N., Singh, A. K., Rai, V. P., Srivastava, C. P., and Singh, P. K., Genetic diversity studies in pea (Pisum sativum L.) using simple sequence repeat markers, vol. 12, pp. 3540-3550, 2013.

The genetic diversity among 28 pea (Pisum sativum L.) genotypes was analyzed using 32 simple sequence repeat markers. A total of 44 polymorphic bands, with an average of 2.1 bands per primer, were obtained. The polymorphism information content ranged from 0.657 to 0.309 with an average of 0.493. The variation in genetic diversity among these cultivars ranged from 0.11 to 0.73.

Subscribe to Dendrogram