ArticleInternational journal of molecular sciences2019
A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 94 citations in OpenAlex.
- GWAS-based identification of a candidate gene and development of a predictive KASP marker for seed protein and oil contents in soybean.Genes & genomics · 2026Article
- Genetic dissection of protein content in cowpea using custom-made NIRS equations and GWAS as a model for nutritional breeding and undergraduate research training.G3 (Bethesda, Md.) · 2026Article
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean (Glycine max) yield case study.The plant genome · 2026Article
- Combination of QTL mapping and GWAS for fine mapping and gene mining of drought tolerance and seed yield components in faba bean (Vicia faba L.).BMC plant biology · 2025Article
- Using Structural Equation Models to Interpret Genome-Wide Association Studies for Morphological and Productive Traits in Soybean [Plants (Basel, Switzerland) · 2025Article
- Comparison of linkage and association mapping in MAGIC lines identifies AtMTP3 as a new gene controlling natural variation in leaf zinc concentration in Arabidopsis.Journal of experimental botany · 2025Article
- Plant oil biosynthesis and genetic improvement: progress, challenges, and opportunities.Plant physiology · 2025Review
- Candidate gene identification and marker development for seed coat peeling rate in peanut (Arachis Hypogaea L.).BMC plant biology · 2025Article
- Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds.Scientific reports · 2025Article
- Detection of genes associated with soybean protein content using a genome-wide association study.Plant molecular biology · 2025Article
- Genome-specific association study (GSAS) for exploration of variability in hemp (Cannabis sativa).Scientific reports · 2025Article
- Genomic and phenomic prediction for soybean seed yield, protein, and oil.The plant genome · 2025Article
- Genetic dissection of yield and yield-related traits in mungbean based on QTL meta-analysis.Frontiers in genetics · 2025Article
- Genome-wide association study and fine-mapping identify a major quantitative trait locus controlling hundred-seed weight in soybean.Frontiers in plant science · 2025Article
- Genome-Wide Association Study for Resistance toPlants (Basel, Switzerland) · 2024Article
- Soybean seed pest damage detection method based on spatial frequency domain imaging combined with RL-SVM.Plant methods · 2024Article
- Article
- Identification of Quantitative Trait Loci (QTL) for Sucrose and Protein Content in Soybean Seed.Plants (Basel, Switzerland) · 2024Article
- Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits.Plants (Basel, Switzerland) · 2023Article
- Haplotype Analysis of GmSGF14 Gene Family Reveals Its Roles in Photoperiodic Flowering and Regional Adaptation of Soybean.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Soybean is an excellent source of vegetable protein and edible oil. Understanding the genetic basis of protein and oil content will improve the breeding programs for soybean. Linkage analysis and genome-wide association study (GWAS) tools were combined to detect quantitative trait loci (QTL) that are associated with protein and oil content in soybean. Three hundred and eight recombinant inbred lines (RILs) containing 3454 single nucleotide polymorphism (SNP) markers and 200 soybean accessions, including 94,462 SNPs and indels, were applied to identify QTL intervals and significant SNP loci. Intervals on chromosomes 1, 15, and 20 were correlated with both traits, and QTL
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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.