ArticleFrontiers in plant science2022
Genome-Wide Association Study of Kernel Traits Using a 35K SNP Array in Bread Wheat (
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Multi-model GWAS reveals genetic determinants of grain hardness, size and weight in bread wheat (Triticum aestivum L.).Molecular genetics and genomics : MGG · 2026Article
- Genome-wide association analysis identifies SNP loci for multi-stage yield-related traits in wheat.Frontiers in plant science · 2026Article
- MAGIC population-based genetic dissection of yield-related traits under heat stress in wheat (Frontiers in plant science · 2026Article
- Pleiotropic Quantitative Trait Loci (QTL) Mining for Regulating Wheat Processing Quality- and Yield-Related Traits.Plants (Basel, Switzerland) · 2024Article
- Genome-wide association study of yield-related traits in common wheat (Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kernel size and weight are crucial components of grain yield in wheat. Deciphering their genetic basis is essential for improving yield potential in wheat breeding. In this study, five kernel traits, including kernel length (KL), kernel width (KW), kernel diameter ratio (KDR), kernel perimeter (KP), and thousand-kernel weight (TKW), were evaluated in a panel consisting of 198 wheat accessions under six environments. Wheat accessions were genotyped using the 35K SNP iSelect chip array, resulting in a set of 13,228 polymorphic SNP markers that were used for genome-wide association study (GWAS). A total of 146 significant marker-trait associations (MTAs) were identified for five kernel traits on 21 chromosomes [-log
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Registered trials
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