Genome-wide association analysis of grain yield-associated traits in a pan-European barley cultivar collection

Xin Xu, Rajiv Sharma, Alessandro Tondelli, Joanne Russell, Jordi Comadran, Florian Schnaithmann, Klaus Pillen, Benjamin Kilian, Luigi Cattivelli, William T B Thomas, Andrew J Flavell

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)


A collection of 379 Hordeum vulgare cultivars, comprising all combinations of spring and winter growth habits with two and six row ear type, was screened by genome wide association analysis to discover alleles controlling traits related to grain yield. Genotypes were obtained at 6,810 segregating gene-based single nucleotide polymorphism (SNP) loci and corresponding field trial data were obtained for eight traits related to grain yield at four European sites in three countries over two growth years. The combined data were analyzed and statistically significant associations between the traits and regions of the barley genomes were obtained. Combining this information with the high resolution gene map for barley allowed the identification of candidate genes underlying all scored traits and superposition of this information with the known genomics of grain trait genes in rice resulted in the assignation of 13 putative barley genes controlling grain traits in European cultivated barley. Several of these genes are associated with grain traits in both winter and spring barley.

Original languageEnglish
Article number170073
JournalPlant Genome
Issue number1
Early online date25 Jan 2018
Publication statusPrint publication - 1 Mar 2018
Externally publishedYes

Bibliographical note

Copyright © 2018 Crop Science Society of America.


  • Europe
  • Genome-Wide Association Study
  • Genotype
  • Hordeum/genetics
  • Plant Proteins/genetics
  • Polymorphism, Single Nucleotide
  • Quantitative Trait Loci
  • Seeds/genetics


Dive into the research topics of 'Genome-wide association analysis of grain yield-associated traits in a pan-European barley cultivar collection'. Together they form a unique fingerprint.

Cite this