ArticleBMC plant biology2020
Mining the stable quantitative trait loci for agronomic traits in wheat (Triticum aestivum L.) based on an introgression line population.
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 12 citations in OpenAlex.
- A systems biology and QTL-based dissection of germination traits in Iranian wheat under normal and water-limited environments.Scientific reports · 2026Article
- The illusion of progress: why most introgressions from wild Triticeae fail to improve wheat agronomically.Frontiers in plant science · 2026Review
- Unraveling the genetic basis of heat tolerance and yield in bread wheat: QTN discovery and Its KASP-assisted validation.BMC plant biology · 2025Article
- Article
- Construction of a high-density genetic linkage map and QTL mapping for bioenergy-related traits in sweet sorghum [Frontiers in plant science · 2023Article
- High-resolution detection of quantitative trait loci for seven important yield-related traits in wheat (Triticum aestivum L.) using a high-density SLAF-seq genetic map.BMC genomic data · 2022Article
- Genetic Dissection of Three Major Quantitative Trait Loci for Spike Compactness and Length in Bread Wheat (Frontiers in plant science · 2022Article
- Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield-related traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Construction of Consensus Genetic Map With Applications in Gene Mapping of Wheat (Frontiers in plant science · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHuman demand for wheat will continue to increase together with the continuous global population growth. Agronomic traits in wheat are susceptible to environmental conditions. Therefore, in breeding practice, priority is given to QTLs of agronomic traits that can be stably detected across multiple environments and over many years.
resultsIn this study, QTL analysis was conducted for eight agronomic traits using an introgression line population across eight environments (drought stressed and well-watered) for 5 years. In total, 44 additive QTLs for the above agronomic traits were detected on 15 chromosomes. Among these, qPH-6A, qHD-1A, qSL-2A, qHD-2D and qSL-6A were detected across seven, six, five, five and four environments, respectively. The means in the phenotypic variation explained by these five QTLs were 12.26, 9.51, 7.77, 7.23, and 8.49%, respectively.
conclusionsWe identified five stable QTLs, which includes qPH-6A, qHD-1A, qSL-2A, qHD-2D and qSL-6A. They play a critical role in wheat agronomic traits. One of the dwarf genes Rht14, Rht16, Rht18 and Rht25 on chromosome 6A might be the candidate gene for qPH-6A. The qHD-1A and qHD-2D were novel stable QTLs for heading date and they differed from known vernalization genes, photoperiod genes and earliness per se genes.
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