Genetical and Mathematical Properties of Similarity and Dissimilarity Coefficients Applied in Plant Breeding and Seed Bank Management

249 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Pea (Pisum sativum L.) in the Genomic Era (2012, methodology): “Initially distance-based methods have been challenged by model-based Bayesian approaches [31–33].”
Data analysis for molecular characterization of plant genetic resources (2009, background): “…there are two groups of this kind of coefficients according to genetic and mathematical properties, the first one composed by Euclidean, Rogers’, modified Rogers’, and Cavalli-Sforza and Edward’s distance, and the second one composed by Nei’s standard and Reynolds dissimilarity (Reif et al. 2005).”
Evaluation of Genetic Diversity and Genome‐wide Linkage Disequilibrium among U.S. Wheat (Triticum aestivum L.) Germplasm Representing Different Market Classes (2007, background): “…coeffi cient factored in allele frequencies calculated from the codominant marker data, assuming no knowledge of evolutionary pressure on divergence of the lines under consideration, and is suitable to evaluate genetic similarity among germplasm derived from breeding programs (Reif et al., 2005).”