Genetic diversity and population structure of sorghum [<i>Sorghum bicolor</i> (L.) Moench] in Ethiopia as revealed by microsatellite markers
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This article is published in Acta Agriculturae Scandinavica Section B-soil and Plant Science.The article was published on 2022-09-11 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Sorghum & Microsatellite.read more
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Inference of population structure using multilocus genotype data
TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Journal ArticleDOI
Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.
TL;DR: It is found that in most cases the estimated ‘log probability of data’ does not provide a correct estimation of the number of clusters, K, and using an ad hoc statistic ΔK based on the rate of change in the log probability between successive K values, structure accurately detects the uppermost hierarchical level of structure for the scenarios the authors tested.
Journal ArticleDOI
Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows
TL;DR: The main innovations of the new version of the Arlequin program include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans.
Journal ArticleDOI
STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method
Dent Earl,Bridgett M. vonHoldt +1 more
TL;DR: STRUCTURE HARVESTER is presented, a web-based program for collating results generated by the program STRUCTURE, which provides a fast way to assess and visualize likelihood values across multiple values of K and hundreds of iterations for easier detection of the number of genetic groups that best fit the data.
Journal ArticleDOI
GenAlEx 6.5
Rod Peakall,Peter E. Smouse +1 more
TL;DR: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel that offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences.
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