ArticleBMC genomics2016
A high density genetic map and QTL for agronomic and yield traits in Foxtail millet [Setaria italica (L.) P. Beauv].
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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41 citing papers in PubMed, 95 citations in OpenAlex.
- Characterization of Grain Structure Using Micro-CT and Identification of Related Candidate Genes by QTL Mapping in Foxtail Millet.Plants (Basel, Switzerland) · 2025Article
- Improvement of Premium Oil Soybean Variety Heinong 551 with Integrating Conventional Hybridization and Gamma Radiation.Life (Basel, Switzerland) · 2025Article
- Genetic linkage map construction and QTL mapping for panicle-related traits in foxtail millet (Molecular breeding : new strategies in plant improvement · 2025Article
- Dynamic QTL mapping reveals the genetic architecture of stem diameter across developmental stages in foxtail millet.Planta · 2025Article
- Construction of a genetic linkage map and QTL mapping of the agronomic traits in Foxtail millet (Setaria italica).BMC genomics · 2025Article
- Physiological and molecular mechanisms of drought adaptation in foxtail millet: insights and future perspectives.Frontiers in plant science · 2025Review
- Review
- Crop Safety and Weed Control of Foliar Application of Penoxsulam in Foxtail Millet.Plants (Basel, Switzerland) · 2024Article
- Construction of a high-density genetic map and QTL localization of body weight and wool production related traits in Alpine Merino sheep based on WGR.BMC genomics · 2024Article
- Construction of a High-DensityInternational journal of molecular sciences · 2023Article
- The Era of Plant Breeding: Conventional Breeding to Genomics-assisted Breeding for Crop Improvement.Current genomics · 2023Review
- 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
- GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet.Nature communications · 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
- Effects of exogenous auxin on yield in foxtail millet (Frontiers in plant science · 2022Article
- Revitalization of small millets for nutritional and food security by advanced genetics and genomics approaches.Frontiers in genetics · 2022Review
- Multi-omics intervention inFrontiers in plant science · 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
Corrections and comments
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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
backgroundFoxtail millet [Setaria italica (L.) P. Beauv.], a crop of historical importance in China, has been adopted as a model crop for studying C-4 photosynthesis, stress biology and biofuel traits. Construction of a high density genetic map and identification of stable quantitative trait loci (QTL) lay the foundation for marker-assisted selection for agronomic traits and yield improvement.
resultA total of 10598 SSR markers were developed according to the reference genome sequence of foxtail millet cultivar 'Yugu1'. A total of 1013 SSR markers showing polymorphism between Yugu1 and Longgu7 were used to genotype 167 individuals from a Yugu1 × Longgu7 F2 population, and a high density genetic map was constructed. The genetic map contained 1035 loci and spanned 1318.8 cM with an average distance of 1.27 cM between adjacent markers. Based on agronomic and yield traits identified in 2 years, 29 QTL were identified for 11 traits with combined analysis and single environment analysis. These QTL explained from 7.0 to 14.3 % of phenotypic variation. Favorable QTL alleles for peduncle length originated from Longgu7 whereas favorable alleles for the other traits originated from Yugu1 except for qLMS6.1.
conclusionsNew SSR markers, a high density genetic map and QTL identified for agronomic and yield traits lay the ground work for functional gene mapping, map-based cloning and marker-assisted selection in foxtail millet.
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