ArticleInternational journal of molecular sciences2020
Appraising the Genetic Architecture of Kernel Traits in Hexaploid Wheat Using GWAS.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Genome-wide association studies reveal genomic regions for kernel-related traits in durum wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic dissection of gluten characteristics based on single- and multi-locus genome-wide association studies in wheat (Food chemistry. Molecular sciences · 2026Article
- Genome-Wide Association Study Reveals Genetic Loci, Candidate Genes and Favorable Haplotypes for Important Agronomic Traits inJournal of fungi (Basel, Switzerland) · 2026Article
- Uncovering yield-related traits loci in Chinese wheat landraces using GWAS.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
- Identification of Candidate Genes for Low Phosphorus Tolerance in Maize Seedling Stage Based on GWAS and Transcriptome.Plants (Basel, Switzerland) · 2025Article
- Understanding the genetic basis of heat stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies.The plant genome · 2025Article
- GWAS in a Collection of Bulgarian Old and Modern Bread Wheat Accessions Uncovers Novel Genomic Loci for Grain Protein Content and Thousand Kernel Weight.Plants (Basel, Switzerland) · 2024Article
- Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228.BMC plant biology · 2024Article
- Understanding grain development in the Poaceae family by comparing conserved and distinctive pathways through omics studies in wheat and maize.Frontiers in plant science · 2024Review
- Genome-wide association analysis of spike and kernel traits in the U.S. hard winter wheat.The plant genome · 2023Article
- Genome-wide association mapping of genomic regions associated with drought stress tolerance at seedling and reproductive stages in bread wheat.Frontiers in plant science · 2023Article
- Novel genomic regions on chromosome 5B controlling wheat powdery mildew seedling resistance under Egyptian conditions.Frontiers in plant science · 2023Article
- Intelligent reprogramming of wheat for enhancement of fungal and nematode disease resistance using advanced molecular techniques.Frontiers in plant science · 2023Review
- Genome-wide association mapping for wheat morphometric seed traits in Iranian landraces and cultivars under rain-fed and well-watered conditions.Scientific reports · 2022Article
- Genome-wide Association Study for Starch Pasting Properties in Chinese Spring Wheat.Frontiers in genetics · 2022Article
- QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster.Frontiers in plant science · 2022Article
- Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies.Molecular breeding : new strategies in plant improvement · 2022Review
- Genetic dissection of grain architecture-related traits in a winter wheat population.BMC plant biology · 2021Article
- Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat.Molecular breeding : new strategies in plant improvement · 2021Article
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7 authors.
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Abstract
Kernel morphology is one of the major yield traits of wheat, the genetic architecture of which is always important in crop breeding. In this study, we performed a genome-wide association study (GWAS) to appraise the genetic architecture of the kernel traits of 319 wheat accessions using 22,905 single nucleotide polymorphism (SNP) markers from a wheat 90K SNP array. As a result, 111 and 104 significant SNPs for Kernel traits were detected using four multi-locus GWAS models (mrMLM, FASTmrMLM, FASTmrEMMA, and pLARmEB) and three single-locus models (FarmCPU, MLM, and MLMM), respectively. Among the 111 SNPs detected by the multi-locus models, 24 SNPs were simultaneously detected across multiple models, including seven for kernel length, six for kernel width, six for kernels per spike, and five for thousand kernel weight. Interestingly, the five most stable SNPs (RAC875_29540_391, Kukri_07961_503, tplb0034e07_1581, BS00074341_51, and BobWhite_049_3064) were simultaneously detected by at least three multi-locus models. Integrating these newly developed multi-locus GWAS models to unravel the genetic architecture of kernel traits, the mrMLM approach detected the maximum number of SNPs. Furthermore, a total of 41 putative candidate genes were predicted to likely be involved in the genetic architecture underlining kernel traits. These findings can facilitate a better understanding of the complex genetic mechanisms of kernel traits and may lead to the genetic improvement of grain yield in wheat.
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