ArticleInternational journal of molecular sciences2025
Identification of Quantitative Trait Loci for Node Number, Pod Number, and Seed Number in Soybean.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Genome-Wide Association Study and Candidate Gene Mining for Plant Height and Main Stem Node Number in Soybean from Northwest China.Plants (Basel, Switzerland) · 2026Article
- Multi-Omics Integration Unravels the Genetic and Hormonal Regulatory Mechanisms Underlying Increased Main Stem Node Number in Soybean.Plants (Basel, Switzerland) · 2026Article
- Integrative multi-trait phenotyping reveals coordinated root and antioxidant responses underlying drought tolerance in soybean.BMC plant biology · 2026Article
- Identification of QTL associated with pod number in soybean.Frontiers in genetics · 2026Article
- SoyCountNet: a deep learning framework for counting and locating soybean seeds in field environment.Frontiers in plant science · 2026Article
- GWAS for QTLs associated with agronomic traits in Chickpea (Cicer arietinum L.) harvested in South-East Kazakhstan.BMC plant biology · 2025Article
- Genome-Wide Characterization of a Carbon Ion Beam-Induced Soybean Mutant Population Reveals Extensive Genetic Variation for Trait Improvement.International journal of molecular sciences · 2025Article
- Jinyuan 601 a Novel High-Protein Soybean Variety with Improved Agronomic Traits and Nutritional Quality.Life (Basel, Switzerland) · 2025Article
- Multi-Stage Transcriptome Analysis Identifies Key Molecular Pathways for Soybean Under Phosphorus-Limited Conditions.International journal of molecular sciences · 2025Article
- Large-scale evaluation of soybean germplasm reveals geographic patterns in shade tolerance and identifies elite genotypes for intercropping systems.BMC plant biology · 2025Article
- Integrated transcriptomic and metabolomic analysis reveals developmental stage-specific molecular responses to phosphorus deficiency in soybean.Frontiers in plant science · 2025Article
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12 authors.
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Abstract
Optimizing soybean yield remains a crucial challenge in meeting global food security demands. In this study, we report a comprehensive genetic analysis of yield-related traits in soybeans using a recombinant inbred line (RIL) population derived from crosses between 'Qihuang 34' (GH34) and 'Dongsheng 16' (DS16). Phenotypic analysis across two years (2023-2024) revealed significant variations between parental lines. Through high-density genetic mapping with 6297 SLAF markers spanning 2945.26 cM across 20 chromosomes, we constructed a genetic map with an average marker distance of 0.47 cM and 99.17% of gaps under 5 cM. QTL analysis identified ten significant loci across both years: in 2023, we detected six QTLs, including a major main stem node number (MSNN) QTL on chromosome 19 (LOD = 22.59, PVE = 24.57%), two seed number (SN) QTLs on chromosomes 14 and 18 (LOD = 2.52-2.85, PVE = 7.35% combined), and one pod number (PN) QTL on chromosome 20 (LOD = 4.68, PVE = 5.85%). The 2024 analysis revealed four major QTLs, notably a cluster on chromosome 19 harboring significant loci for MSNN (LOD = 37.92, PVE = 43.59%), PN (LOD = 18.16, PVE = 23.02%), and SN (LOD = 15.24, PVE = 19.59%). Within the stable chromosome 19 region, we identified seventeen candidate genes involved in crucial developmental processes. Gene expression analysis revealed distinct temporal patterns between parental lines during vegetative and reproductive stages, with GH34 showing dramatically higher expression of key reproductive genes
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