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Published on: March 9, 2021
Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes
Su Myat Noe1, Pawan Kumar Singh2, Firuz Odilbekov3
1Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden.
Genome-wide association study (GWAS) identified new powdery mildew resistance QTL in barley. A GWAS-incorporated genomic prediction (GP) model improved resistance breeding efficiency, outperforming standard GP models.
Area of Science:
- Plant genetics
- Agricultural science
- Crop improvement
Background:
- Powdery mildew significantly threatens global barley production.
- Barley is a major worldwide cereal crop.
- 370 spring barley breeding lines were assessed for disease resistance.
Purpose of the Study:
- Identify genetic factors for powdery mildew resistance in barley.
- Evaluate genomic prediction models for breeding applications.
- Enhance breeding strategies for disease resistance in barley.
Main Methods:
- Genome-wide association study (GWAS) to identify quantitative trait loci (QTL).
- Calculation of genetic merit using major-effect markers.
- Performance evaluation of standard genomic prediction (GP) versus GWAS-incorporated GP models.
- Analysis of genotype selection patterns using weighted marker-assisted selection (wMAS).
Main Results:
- 21 QTL for seedling-stage powdery mildew resistance were identified, including 8 novel QTL.
- A positive correlation was found between genetic merit and BLUP (AUDPC) values.
- GWAS-incorporated GP models consistently outperformed standard GP models.
- Genomics-based methods identified resistant genotypes missed by phenotypic selection.
Conclusions:
- The GWAS-incorporated GP model is the most effective approach for breeding powdery mildew resistance in spring barley.
- This approach offers potential for efficient development of resistant barley varieties.
- Genomic methods reveal hidden genetic potential for disease resistance.
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