ArticleBMC genomics2020
QTL mapping of yield component traits on bin map generated from resequencing a RIL population of foxtail millet (Setaria italica).
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 40 citations in OpenAlex.
- Identification of Candidate Heat-Tolerance Genes in Maize by Integrating Linkage and Transcriptomic Analyses.Plants (Basel, Switzerland) · 2026Article
- Genetic linkage map construction and QTL mapping for panicle-related traits in foxtail millet (Molecular breeding : new strategies in plant improvement · 2025Article
- Construction of a genetic linkage map and QTL mapping of the agronomic traits in Foxtail millet (Setaria italica).BMC genomics · 2025Article
- Foxtail millet research in supporting climate change resilience efforts: Bibliometric analysis and focused literature review.Heliyon · 2025Review
- Genomic basis of schistosome resistance in a molluscan vector of human schistosomiasis.iScience · 2025Article
- Review
- The Integration of Genome-Wide Association Study and Homology Analysis to Explore the Genomic Regions and Candidate Genes for Panicle-Related Traits in Foxtail Millet.International journal of molecular sciences · 2022Article
- Genome-wide identification of quantitative trait loci for morpho-agronomic and yield-related traits in foxtail millet (Setaria italica) across multi-environments.Molecular genetics and genomics : MGG · 2022Article
- Improvement of millets in the post-genomic era.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Review
- Multi-omics intervention inFrontiers in plant science · 2022Review
- Revitalization of small millets for nutritional and food security by advanced genetics and genomics approaches.Frontiers in genetics · 2022Review
- Fine mapping ofMolecular breeding : new strategies in plant improvement · 2021Article
- Genetic control and phenotypic characterization of panicle architecture and grain yield-related traits in foxtail millet (Setaria italica).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Identification of QTL related to anther color and hull color by RAD sequencing in a RIL population of Setaria italica.BMC genomics · 2021Article
- Small Millets for Enduring Food Security Amidst Pandemics.Trends in plant science · 2021Review
- SSRgenotyper: A simple sequence repeat genotyping application for whole-genome resequencing and reduced representational sequencing projects.Applications in plant sciences · 2020Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundFoxtail millet (Setaria italica) has been developed into a model genetical system for deciphering architectural evolution, C
resultsHere, 164 Recombinant inbreed lines from a cross between Longgu7 and Yugu1 were created and 1,047,978 SNPs were identified between both parents via resequencing. A total of 3413 bin markers developed from SNPs were used to construct a binary map, containing 3963 recombinant breakpoints and totaling 1222.26 cM with an average distance of 0.36 cM between adjacent markers. Forty-seven QTLs were identified for four traits of straw weight, panicle weight, grain weight per plant and 1000-grain weight. These QTLs explained 5.5-14.7% of phenotypic variance. Thirty-nine favorable QTL alleles were found to inherit from Yugu1. Three stable QTLs were detected in multi-environments, and nine QTL clusters were identified on Chromosome 3, 6, 7 and 9.
conclusionsA high-density genetic map with 3413 bin markers was constructed and three stable QTLs and 9 QTL clusters for yield component traits were identified. The results laid a powerful foundation for fine mapping, identifying candidate genes, elaborating molecular mechanisms and application in foxtail millet breeding programs by marker-assisted selection.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.