ArticleFrontiers in plant science2022
Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Genomic selection for tar content inFrontiers in plant science · 2026Article
- Genome wide association study uncovers significant SNPs and candidate genes for kernel grades in groundnut (Arachis hypogaea L.).BMC genomics · 2025Article
- Resequencing and phenotyping of the first highly inbred eggplant multiparent population revealHorticulture research · 2025Article
- Unlocking genetic hotspots: GWAS reveals key nitrogen responsive genomic regions and key genes for root and yield traits in indica rice.Molecular genetics and genomics : MGG · 2025Article
- The genome and GeneBank genomics of allotetraploid Nicotiana tabacum provide insights into genome evolution and complex trait regulation.Nature genetics · 2025Article
- Dissecting the genetic architecture of key agronomic traits in lettuce using a MAGIC population.Genome biology · 2025Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiparent Advanced Generation Inter-Cross (MAGIC) population is an ideal genetic and breeding material for quantitative trait locus (QTL) mapping and molecular breeding. In this study, a MAGIC population derived from eight tobacco parents was developed. Eight parents and 560 homozygous lines were genotyped by a 430K single-nucleotide polymorphism (SNP) chip assay and phenotyped for nicotine content under different conditions. Four QTLs associated with nicotine content were detected by genome-wide association mapping (GWAS), and one major QTL, named
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Registered trials
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