ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024
Genome-wide association study and genomic selection of spike-related traits in bread wheat.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- 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
- Identification of resistance sources and genomic regions regulating spot blotch resistance in Asian bread wheat (Triticum aestivum L.) via genome-wide association study.The plant genome · 2026Article
- Enhancing genomic prediction accuracy in Huaxi cattle through integration of transcriptomic data and a self-attention-based SNP selection strategy.BMC bioinformatics · 2026Article
- Multimodal deep learning improves cross-environment prediction of durum wheat yield components.BMC plant biology · 2026Article
- Genome-wide association study of alkali tolerance at germination stage in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Content characteristics and genetic architecture of macronutrient signatures in cottonseed.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Dissecting the genetic architecture of pre-harvest sprouting tolerance in Indian dwarf wheat (Triticum sphaerococcum) by multi-locus association analysis.Scientific reports · 2025Article
- Genome wide dissection and haplotype analysis to identify candidate loci for harvest index under spot blotch in bread wheat.Molecular genetics and genomics : MGG · 2025Article
- Identification of Spike Length Gene and Development of KASP Markers in Wheat.Plants (Basel, Switzerland) · 2025Article
- Genomic selection for growth and wood properties in multi-generation hybrid populations ofHorticulture research · 2025Article
- Genomic selection with GWAS-identified QTL markers enhances prediction accuracy for quantitative traits in poplar (Populus deltoides).Communications biology · 2025Article
- AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Can the molecular and transgenic breeding of crops be an alternative and sustainable technology to meet food demand?Functional & integrative genomics · 2025Review
- Exploring the genetic diversity and population structure of an ancient hexaploid wheat species Triticum sphaerococcum using SNP markers.BMC plant biology · 2024Article
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Authors and funding
15 authors.
Funding
Abstract
key messageIdentification of 337 stable MTAs for wheat spike-related traits improved model accuracy, and favorable alleles of MTA259 and MTA64 increased grain weight and yield per plant. Wheat (Triticum aestivum L.) is one of the three primary global, staple crops. Improving spike-related traits in wheat is crucial for optimizing spike and plant morphology, ultimately leading to increased grain yield. Here, we performed a genome-wide association study using a dataset of 24,889 high-quality unique single-nucleotide polymorphisms (SNPs) and phenotypic data from 314 wheat accessions across eight diverse environments. In total, 337 stable and significant marker-trait associations (MTAs) related to spike-related traits were identified. MTA259 and MTA64 were consistently detected in seven and six environments, respectively. The presence of favorable alleles associated with MTA259 and MTA64 significantly reduced wheat spike exsertion length and spike length, while enhancing thousand kernel weight and yield per plant. Combined gene expression and network analyses identified TraesCS6D03G0692300 and TraesCS6D03G0692700 as candidate genes for MTA259 and TraesCS2D03G0111700 and TraesCS2D03G0112500 for MTA64. The identified MTAs significantly improved the prediction accuracy of each model compared with using all the SNPs, and the random forest model was optimal for genome selection. Additionally, the eight stable and major MTAs, including MTA259, MTA64, MTA66, MTA94, MTA110, MTA165, MTA180, and MTA164, were converted into cost-effective and efficient detection markers. This study provided valuable genetic resources and reliable molecular markers for wheat breeding programs.
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