ArticlePloS one2013
Genetic dissection of yield and its component traits using high-density composite map of wheat chromosome 3A: bridging gaps between QTLs and underlying genes.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Pooled it
- Genetic dissection of plant height-related traits by combined methods in wheat (Triticum aestivum L.).BMC plant biology · 2025Article
- Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery.Plant phenomics (Washington, D.C.) · 2025Article
- Quantitative Trait Loci Mapping of Heading Date in Wheat under Phosphorus Stress Conditions.Genes · 2024Article
- Genomics for Yield and Yield Components in Durum Wheat.Plants (Basel, Switzerland) · 2023Review
- Genetic dissection of major QTL for grain number per spike on chromosomes 5A and 6A in bread wheat (Frontiers in plant science · 2023Article
- Identification of eight QTL controlling multiple yield components in a German multi-parental wheat population, including Rht24, WAPO-A1, WAPO-B1 and genetic loci on chromosomes 5A and 6A.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines.Scientific reports · 2021Article
- Identification of Main-Effect and Environmental Interaction QTL and Their Candidate Genes for Drought Tolerance in a Wheat RIL Population Between Two Elite Spring Cultivars.Frontiers in genetics · 2021Article
- Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat.Frontiers in plant science · 2021Article
- Genetics of yield, abiotic stress tolerance and biofortification in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Review
- Probing early wheat grain development via transcriptomic and proteomic approaches.Functional & integrative genomics · 2020Article
- Genomic prediction of yield and root development in wheat under changing water availability.Plant methods · 2020Article
- Selection criteria for high-yielding and early-flowering bread wheat hybrids under heat stress.PloS one · 2020Article
- Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics.Nature genetics · 2019Article
- Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding.Journal of experimental botany · 2018Article
- Genome-Wide Association Analysis of Grain Yield-Associated Traits in a Pan-European Barley Cultivar Collection.The plant genome · 2018Article
- QTL mapping and comparative genome analysis of agronomic traits including grain yield in winter rye.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Identification of genomic regions for grain yield and yield stability and their epistatic interactions.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Earlier we identified wheat (Triticum aestivum L.) chromosome 3A as a major determinant of grain yield and its component traits. In the present study, a high-density genetic linkage map of 81 chromosome 3A-specific markers was developed to increase the precision of previously identified yield component QTLs, and to map QTLs for biomass-related traits. Many of the previously identified QTLs for yield and its component traits were confirmed and were localized to narrower intervals. Four novel QTLs one each for shoot biomass (Xcfa2262-Xbcd366), total biomass (wPt2740-Xcfa2076), kernels/spike (KPS) (Xwmc664-Xbarc67), and Pseudocercosporella induced lodging (PsIL) were also detected. The major QTLs identified for grain yield (GY), KPS, grain volume weight (GVWT) and spikes per square meter (SPSM) respectively explained 23.2%, 24.2%, 20.5% and 20.2% of the phenotypic variation. Comparison of the genetic map with the integrated physical map allowed estimation of recombination frequency in the regions of interest and suggested that QTLs for grain yield detected in the marker intervals Xcdo549-Xbarc310 and Xpsp3047-Xbarc356 reside in the high-recombination regions, thus should be amenable to map-based cloning. On the other hand, QTLs for KPS and SPSM flanked by markers Xwmc664 and Xwmc489 mapped in the low-recombination region thus are not suitable for map-based cloning. Comparisons with the rice (Oryza sativa L.) genomic DNA sequence identified 11 candidate genes (CGs) for yield and yield related QTLs of which chromosomal location of two (CKX2 and GID2-like) was confirmed using wheat aneuploids. This study provides necessary information to perform high-resolution mapping for map-based cloning and for CG-based cloning of yield QTLs.
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