ArticleBMC plant biology2021
Identification of genetic loci associated with major agronomic traits of wheat (Triticum aestivum L.) based on genome-wide association analysis.
Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 20 citations in OpenAlex.
- Integration of GWAS and WGCNA reveals novel candidate genes for cottonseed oil content in Gossypium hirsutum L.BMC plant biology · 2026Article
- Genetic dissection of cold stress tolerance and yield potential under cold stress in nested synthetic wheat (Triticum aestivum L.) introgression libraries using multi-locus genome-wide association and haplotype analysis.Functional & integrative genomics · 2026Article
- Genome-wide association analysis of fiber-related traits and identification of diagnostic SNP markers differentiating spelt wheat (Frontiers in plant science · 2026Article
- Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm.BMC plant biology · 2025Article
- Watkins wheat landraces decode nitrogen-driven biomass trade-offs: GWAS exposes root-shoot dialectics and elite landraces for resilient agriculture.Frontiers in plant science · 2025Article
- Identification of novel marker-trait associations for agronomic traits in bread wheat under WANA environments through GWAS.PloS one · 2025Article
- Exploring Novel Genomic Loci and Candidate Genes Associated with Plant Height in Bulgarian Bread Wheat via Multi-Model GWAS.Plants (Basel, Switzerland) · 2024Article
- Identification and functional analysis of a chromosome 2D fragment harboring TaFPF1 gene with the potential for yield improvement using a late heading wheat mutant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- A novel QTL conferring Fusarium crown rot resistance on chromosome 2A in a wheat EMS mutant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Effects of genetic components of plant development on yield-related traits in wheat (Frontiers in plant science · 2022Article
- Genome-wide association study of coleoptile length with Shanxi wheat.Frontiers in plant science · 2022Article
- Genome-Wide Association Study of Grain Number in Common Wheat From Shanxi Under Different Water Regimes.Frontiers in plant science · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBread wheat (Triticum aestivum L.) is one of the most widely consumed cereal crops, but its complex genome makes it difficult to investigate the genetic effect on important agronomic traits. Genome-wide association (GWA) analysis is a useful method to identify genetic loci controlling complex phenotypic traits. With the RNA-sequencing based gene expression analysis, putative candidate genes governing important agronomic trait can be suggested and also molecular markers can be developed.
resultsWe observed major quantitative agronomic traits of wheat; the winter survival rate (WSR), days to heading (DTH), days to maturity (DTM), stem length (SL), spike length (SPL), awn length (AL), liter weight (LW), thousand kernel weight (TKW), and the number of seeds per spike (SPS), of 287 wheat accessions from diverse country origins. A significant correlation was observed between the observed traits, and the wheat genotypes were divided into three subpopulations according to the population structure analysis. The best linear unbiased prediction (BLUP) values of the genotypic effect for each trait under different environments were predicted, and these were used for GWA analysis based on a mixed linear model (MLM). A total of 254 highly significant marker-trait associations (MTAs) were identified, and 28 candidate genes closely located to the significant markers were predicted by searching the wheat reference genome and RNAseq data. Further, it was shown that the phenotypic traits were significantly affected by the accumulation of favorable or unfavorable alleles.
conclusionsFrom this study, newly identified MTA and putative agronomically useful genes will help to study molecular mechanism of each phenotypic trait. Further, the agronomically favorable alleles found in this study can be used to develop wheats with superior agronomic traits.
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