Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes

Overall, GWAS-incorporated GP model demonstrated the best performance among the evaluated methods, suggesting this approach is the most effective with a potential to contribute to efficient breeding of powdery mildew resistance in spring barley.

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Publication Details

Journal
BMC Genomics
Published
2025-12-05
DOI
https://doi.org/10.1186/s12864-025-12395-y
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
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article

Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes

Aakash Chawade, Firuz Odilbekov, Eva Johansson, P. K. Singh et al.
BMC Genomics
Wheat and Barley Genetics and Pathology
article

Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes

Aakash Chawade, Firuz Odilbekov, Eva Johansson, P. K. Singh, Su Myat Noe
article en

Abstract

Overall, GWAS-incorporated GP model demonstrated the best performance among the evaluated methods, suggesting this approach is the most effective with a potential to contribute to efficient breeding of powdery mildew resistance in spring barley.

BMC GenomicsVol. 26(1)
Centro Internacional de Mejoramiento de Maíz Y Trigo (MX), Swedish University of Agricultural Sciences (SE), Lantmännen (SE)
Openalex Percentile: Top 72%
Wheat and Barley Genetics and Pathology
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