Plant Genetic Research
Scientific Journal

Evaluation of Population Structure in Some Bread and Durum Wheat Genotypes Using SNP Markers and PCA and DAPC Methods

Document Type : Original Article

Authors

Hossein Abdi 1
Hadi Alipour 1
Iraj Bernousi 1
Jafar Jafarzadeh 2

1 Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Iran

2 Dryland Agricultural Research Institute (DARI), Agriculture Research, Education and Extension Organization (AREEO), Maragheh, Iran

http://dx.doi.org/10.22034/pgr.10.1.6
Abstract
Wheat is the most important crop in the world, and the evaluation of its population structure is essential for understanding diversity patterns, choosing suitable parents for mating, accurate identification of genomic regions controlling traits, and evolutionary and kinship relationship studies. Until now, various statistical methods have been introduced to evaluate the genetic structure of the population. Principal component analysis (PCA) and discriminant analysis of principal component (DAPC) are important techniques for evaluating the population structure using molecular markers. PCA is a tool whose purpose is to reduce the complexity of the data and summarizes the diversity in the population, including the diversity between groups and within groups, in a number of components. While, DAPC is a method that maximizes the diversity between groups, the aim of this research was to compare the PCA and DAPC approaches in determining the population structure of tetraploid and hexaploid Iranian wheat genotypes.

Keywords

: Cultivars
Landraces
Fixation index
Tetraploid and hexaploid wheat
SNP markers
Plant Genetic Research
Volume 10, Issue 1
June 2023
Pages 95-110

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