ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026
Enhancing genomic prediction ability of blast resistance using genome-wide association study-derived marker weights in two rice (Oryza sativa L.) populations.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- From family trials to genomic mate allocation: statistical and genomic strategies to accelerate sugarcane genetic improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
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7 authors.
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Abstract
key messageLeaf and panicle blast resistances were moderately correlated and controlled by several genes, including Pi2/Pi9 and Pi33. GWAS-based marker weighting increased GBLUP predictive ability by up to 37% across two rice populations. Breeding for blast resistance remains a high priority in rice (Oryza sativa L.) improvement, yet the genetic complexity of leaf blast (BL) and panicle blast (PB) continues to challenge prediction accuracy in genomic selection (GS). Traditional GS approaches, such as genomic best linear unbiased prediction (GBLUP), assume equal contribution from all markers, potentially limiting the capture of key resistance loci. Recent advances integrating genome-wide association studies (GWAS) into GS offer new opportunities to weight markers based on their biological relevance. In this study, we dissected the genetic architecture of BL and PB resistance in two diverse rice populations and evaluated the performance of three weighted GBLUP models that incorporate marker information from GWAS. Marker weighting strategies included F
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