Abstract

World’s food supply will be a great challenge due to the rapid growth of human population. Therefore, wheat breeders are facing a great task to improve further the crop quality and quantity. Genetic improvement could be the key in this progression, which is based on the exploitation of genetic resources. So it is important to hold exact information about the wheat population structure, especially the genetic diversity of elite crop germplasm. Here, we provide the characterisation of 85 Hungarian wheat varieties from 3 different Hungarian breeding programmes (Szeged, Martonvásár and Karcag) trough Competitive Allele-Specific PCR (KASP) technique. Population structure of these accessions were examined by STRUCTURE software and the ΔK values were calculating by the STRUCTURE HARVESTER. These investigations revealed 3 subgroups in our wheat population with 21, 19 and 45 genotypes in GrI, GrII and GrIII, respectively. We could conclude that the GrI and GrIII subgroups contained genotypes from all three origins while GrII contained genotypes only from Szeged. We also examined the allele distribution of the Xgwm261 locus since the 192 bp allele is reported to be linked to semi-dwarfing gene Rht8, which has important role in the breeding process. Altogether we could observe 5 size variant products, but the 174 bp (22.35%), 192 bp (55.29%), and 198 bp (12.94%) long fragments could be found the most frequently. The present study confirms that population structure and genotype relatedness, based on molecular data, are consistent with the geography origin and available pedigree data. Moreover, this study could be the starting point of a following association mapping work.

Highlights

  • Some estimates suggest that the World population will be reach the ten billion people to 2050

  • Population structure of the 85 genotypes was examined by STRUCTURE (v2.3.4) software, utilizing data deriving from LGC Genomics, using 1920 KASP markers

  • The number of subpopulations (K) were determined by calculating the ΔK values by STRUCTURE HARVESTER. These analyses showed 3 subgroups in our wheat population so these 3 subgroups were further analysed by Bayesian clustering, calculating the Q matrix in Structure v2.3.4

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Summary

Introduction

Some estimates suggest that the World population will be reach the ten billion people to 2050. This is a great challenge for the future to solve the problem of food supply. Wheat (Triticum aestivum L.) is one of the most important crop plant and staple food source, so breeders are facing a great task to improve the crop quality and quantity. According to the 2017′s data of the Food and Agricultural. NAIK Department of Field Crops Production, Alsó kikötő sor 9, 6726 Szeged, Hungary

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