There are few softwares available to analyze relatedness among individuals and, to date, none can perform this analysis for polyploid organisms, with even number (2k) of chromosomes. This work implements within package able to execute an analysis of relatedness for any 2k-ploidy level, number of individuals (or populations) and number of generations in the pedigree. The main function, calc.rxy(), calculates the inbreeding coefficient (F X) of each individual; coancestry coefficients (rXY) between any two individuals; and average, variance, minimum and maximum of coancestry coefficient for each selected individual. A complete matrix of coancestry or any sub-matrix for selected individuals can be output. In addition, functions are included to identify reduntant information in the original data set (checar.nomes()) and to identify pairs of individuals with rXY higher than an upper bound specified by the researcher (corte.rxy()). These functions can be used to analyze a pedigree with a large number of individuals and can be implemented by the scientific community freely, regardless of the platform in use. The advantage of allowing to work with any 2k-ploidy level is highlighted, even when some individual is originated from selfing, a common scenario for many plant species.
population genetics; polyploidy; pedigree analysis
