Genome-Wide Characterization of Genetic Diversity and Population Structure in a Kazakhstani Two-Row Spring Barley Breeding Panel

Barley (Hordeum vulgare L.) is a major cereal in Kazakhstan, where diverse breeding material supports crop improvement. We characterized 86 two-row spring barley accessions from six breeding organizations using the Illumina Infinium 50K Barley SNP Array. Analysis of 29,920 high-quality SNPs revealed moderate diversity (He = 0.346, PIC = 0.278, Shannon = 0.752), with 80.84% of molecular variation occurring within and 19.16% among breeding organizations. A minor allele frequency-free (MAF-free) analysis showed that 95.61% of marker–allele combinations at polymorphic loci were shared by at least two organizations. Although PCA, kinship, and neighbor-joining analyses indicated extensive overlap, discriminant analysis of principal components (DAPC) cluster membership was significantly associated with breeding origin (χ2 = 106.38, Monte Carlo p = 1 × 10–5; bias-corrected Cramér’s V = 0.513), demonstrating substantial but incomplete differentiation among breeding programs. Phenotypic differentiation was evaluated using environment-adjusted genotype BLUPs. All seven traits differed significantly among five DAPC clusters. In a reduced six-trait linear discriminant analysis (LDA) excluding vegetation period, LD1 was associated most strongly with number of kernels per spike, followed by heading time, spike length, and heading-to-maturity time. Leave-one-out cross-validation (LOOCV) accuracy was 36.47%, exceeding the permutation mean of 19.83% but indicating considerable phenotypic overlap. The examined materials therefore constitute a diverse, interconnected breeding panel that may support germplasm management and parent selection and provide a genomic and phenotypic framework for future GWAS, genomic selection, and targeted validation of molecular markers within the represented collections.

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Journal
International Journal of Molecular Sciences
Published
2026-08-20
DOI
https://doi.org/10.3390/ijms27167466
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.00

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article

Genome-Wide Characterization of Genetic Diversity and Population Structure in a Kazakhstani Two-Row Spring Barley Breeding Panel

Сауле Абугалиева, Лаура Тохетова, Vladimir Chudinov, Yuliya Genievskaya et al.
International Journal of Molecular Sciences
Wheat and Barley Genetics and Pathology
article

Genome-Wide Characterization of Genetic Diversity and Population Structure in a Kazakhstani Two-Row Spring Barley Breeding Panel

Сауле Абугалиева, Лаура Тохетова, Vladimir Chudinov, Yuliya Genievskaya, Yerlan Turuspekov, Grigoriy Sereda
article en

Abstract

Barley (Hordeum vulgare L.) is a major cereal in Kazakhstan, where diverse breeding material supports crop improvement. We characterized 86 two-row spring barley accessions from six breeding organizations using the Illumina Infinium 50K Barley SNP Array. Analysis of 29,920 high-quality SNPs revealed moderate diversity (He = 0.346, PIC = 0.278, Shannon = 0.752), with 80.84% of molecular variation occurring within and 19.16% among breeding organizations. A minor allele frequency-free (MAF-free) analysis showed that 95.61% of marker–allele combinations at polymorphic loci were shared by at least two organizations. Although PCA, kinship, and neighbor-joining analyses indicated extensive overlap, discriminant analysis of principal components (DAPC) cluster membership was significantly associated with breeding origin (χ2 = 106.38, Monte Carlo p = 1 × 10–5; bias-corrected Cramér’s V = 0.513), demonstrating substantial but incomplete differentiation among breeding programs. Phenotypic differentiation was evaluated using environment-adjusted genotype BLUPs. All seven traits differed significantly among five DAPC clusters. In a reduced six-trait linear discriminant analysis (LDA) excluding vegetation period, LD1 was associated most strongly with number of kernels per spike, followed by heading time, spike length, and heading-to-maturity time. Leave-one-out cross-validation (LOOCV) accuracy was 36.47%, exceeding the permutation mean of 19.83% but indicating considerable phenotypic overlap. The examined materials therefore constitute a diverse, interconnected breeding panel that may support germplasm management and parent selection and provide a genomic and phenotypic framework for future GWAS, genomic selection, and targeted validation of molecular markers within the represented collections.

International Journal of Molecular SciencesVol. 27(16)
Institute of Plant Biology and Biotechnology (KZ), Experimental Station (US), Kazakh Research Institute of Agriculture and Plant growing (KZ)
Ministry of Agriculture of the Republic of Kazakhstan
Reduced inequalities
Openalex Percentile: Top 11%
Wheat and Barley Genetics and Pathology
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