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Open research questions in Soybean genetics and cultivation

113 gap statements mined from Soybean genetics and cultivation papers in our 4.5M-paper local library, which holds 548 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • Limited understanding of the genetic mechanisms underlying soybean fatty acid composition. Need for identification of candidate genes influencing fatty acid composition in soybeans. Gap in knowledge on the regulation of long-chain fatty acid biosynthesis in soybeans.

    Expression genome-wide association analysis (eGWAS) identifies a candidate gene influencing fatty acid composition in soybeans · 2026 · DOI

  • The genetic mechanisms underlying variation in soybean growth periods remain poorly understood. Substantial genotypic variation exists in both growth period traits and photoperiod sensitivity, but the underlying genetic basis is unclear.

    A combination of QTL mapping and genome‑wide association study revealed the key gene for the growth period traits in soybean · 2026 · DOI

  • Estimating the net photosynthetic rate from leaf spectral reflectance is susceptible to various practical interferences. The model's universality and stability are compromised by various factors. There is a need to address the limitations of traditional photosynthetic phenotyping methods.

    Hyperspectral phenotyping and GWAS identify novel QTLs for soybean photosynthetic rate · 2026 · DOI

  • Seed size plays an important role in determining crop yield, yet the genetic mechanisms underlying the regulation of this agronomic trait remain incompletely understood in soybean.

    Natural Variation in GmSL20 Improves Seed Size and Quality in Soybean · 2026 · DOI

  • Nevertheless, the influence of irrigation on the morphological traits associated with grain productivity is not fully understood.

    How water stress impacts soybean grain yield and quality through canopy and root system adaptation · 2026 · DOI

  • Root system adaptation is crucial for optimizing soybean performance following irrigation and should be investigated in future plant breeding or variety evaluation studies.

    How water stress impacts soybean grain yield and quality through canopy and root system adaptation · 2026 · DOI

  • The findings are limited to conditions tested in the experiment and do not rule out the potential response under high-yielding management systems or split nitrogen application.

    Impact of supplemental nitrogen application at different reproductive stages on soybean yield and seed composition · 2026 · DOI

  • Genome editing of the glycine max abscisic acid induced transcription repressors (GmAITRs) is an effective approach for developing high-quality soybean varieties; however, its effects on the nutritional composition of genome-edited soybeans remain unclear.

    Editing of GmAITR enhances the nutritional and functional properties of soybean: Evidence from multi-gene mutants · 2026 · DOI

  • The isoflavones in soybean have been well studied, and non-isoflavone flavonoids remain unexplored.

    Insights into non-isoflavone flavonoid distribution and variation across soybean germplasm using HPLC-MS/MS · 2025 · DOI

  • Stem lodging resistance plays a critical role in maintaining soybean yield stability, yet the molecular mechanisms governing stem development and lodging tolerance remain poorly understood.

    LRM3 positively regulates stem lodging resistance by degradating MYB6 transcriptional repressor in soybean · 2025 · DOI

  • Seed oil and protein content are crucial agronomic traits in soybean breeding; however, the regulatory mechanisms underlying their accumulation and trade-off are not yet fully understood.

    Construction of regulatory networks related to oil and protein accumulation in developing soybean seeds · 2025 · DOI

  • Increasing plant density (PD) has proven effective in maximizing yield worldwide, but the optimal PD for soybean production in the Huang-Huai-Hai Plain and its physiological mechanisms remain unclear.

    Integrating source-sink coordination and pod-setting optimization: A field study on plant density effects for soybean productivity enhancement in the Huang-Huai-Hai Plain · 2025 · DOI

  • However, research on soybean hypocotyl length is scarce, and the regulatory mechanisms are not fully understood.

    Soybean hypocotyl elongation is regulated by a MYB33 ‐ SWEET11 /21‐ GA2ox8c module involving long‐distance sucrose transport · 2024 · DOI

  • Despite extensive research, the fundamental genetic mechanisms governing lodging resistance in soybeans remain elusive.

    Creeping Stem 1 regulates directional auxin transport for lodging resistance in soybean · 2024 · DOI

  • The soybean seed yield response to phosphorus (P) fertilizer has significantly increased during soybean breeding but the underlying mechanisms remain elusive.

    Genotypic differences in soybean (Glycine max L.) in yield response to phosphorus fertilizer are associated with difference in biomass and phosphorus content · 2024 · DOI

  • Dissecting the genetic basis of soybean seed weight is challenging due to phenotypic plasticity. There is a need to identify stable gene coexpression networks associated with seed weight.

    Conserved regulatory modules and hub genes linking leaf transcriptomes to soybean seed weight · 2026 · DOI

  • The genetic variation underlying 100-seed weight in soybeans is not well understood. The key genes regulating 100-seed weight have not been identified.

    Natural variation of the GmDt1 gene affects the 100-seed weight of soybean · 2026 · DOI

  • The five distinct GmDt1 haplotypes (H1-H5) show different 100-seed weight distributions, but the functional characterization of H3, H4, and H5 (particularly H5 with only n=15 samples) remains incomplete; additional resequencing of diverse soybean germplasm and phenotypic evaluation is needed to establish the relationship between haplotype structure variation and quantitative seed weight effects.

    Natural variation of the GmDt1 gene affects the 100-seed weight of soybean · 2026 · DOI

  • Soybean production is severely limited by biotic stresses, including soybean mosaic virus. Traditional genetic mapping approaches have limited genetic diversity. There is a need to improve the accuracy of genomic selection in soybean breeding programs.

    GWAS and genomic prediction for resistance to soybean mosaic virus strain SC7 · 2026 · DOI

  • Traditional genetic mapping approaches have limited genetic diversity. There is a need to identify significant SNPs and candidate genes associated with SMV resistance.

    GWAS and genomic prediction for resistance to soybean mosaic virus strain SC7 · 2026 · DOI

  • Research in legumes remains less consolidated, despite their importance for nutrition and sustainable agriculture. There is a lack of integrative work in this field.

    Development and research trends of stay-green biology in legumes: a bibliometric and visual analysis over three decades · 2026 · DOI

  • Basic themes such as stay-green syndrome in the context of geminivirus and hemiptera alydidae pest resistance show foundational importance but lack cohesive conceptual development. The molecular basis linking stay-green phenotypes to disease and pest resistance mechanisms requires integrated transcriptomic and physiological investigation.

    Development and research trends of stay-green biology in legumes: a bibliometric and visual analysis over three decades · 2026 · DOI

  • The regulation of endogenous GA-mediated growth and developmental processes in soybean is not fully understood. The role of the GID gene family in gibberellin perception and signaling in soybean is not well characterized.

    Genome-wide analysis of the GID gene family in soybean and analysis of expression under gibberellin treatment · 2026 · DOI

  • Future research on the interactions between GmLACS11 and key factors in the aforementioned regulatory network - Gene editing (such as CRISPR/Cas9) or transgenic breeding of GmLACS11 - Introduction of excellent alleles into high-yield…

    Expression genome-wide association analysis (eGWAS) identifies a candidate gene influencing fatty acid composition in soybeans · 2026 · DOI

  • Validation of the identified QTLs and candidate genes in different soybean populations. Development of more molecular markers linked to stem breaking strength. Investigation of the genetic and molecular mechanisms underlying stem breaking strength.

    Identification of QTLs Associated with Stem Breaking Strength and Development of InDel Markers in Soybean Using BSA-Seq · 2026 · DOI

Most-cited papers in Soybean genetics and cultivation

Most recent work

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Open questions raised by papers listed on this page include: (1) The genetic mechanisms underlying variation in soybean growth periods remain poorly understood (“A combination of QTL mapping and genome‑wide association study revealed the key…”, 2026); (2) There is a need to address the limitations of traditional photosynthetic phenotyping methods (“Hyperspectral phenotyping and GWAS identify novel QTLs for soybean…”, 2026); (3) Seed size plays an important role in determining crop yield, yet the genetic mechanisms underlying the regulation of this agronomic trait remain incompletely understood in soybean (“Natural Variation in GmSL20 Improves Seed Size and Quality in Soybean”, 2026); (4) The influence of irrigation on the morphological traits associated with grain productivity is not fully understood (“How water stress impacts soybean grain yield and quality through canopy and…”, 2026); (5) There is a need to identify stable gene coexpression networks associated with seed weight (“Conserved regulatory modules and hub genes linking leaf transcriptomes to…”, 2026). 113 gap statements have been mined from Soybean genetics and cultivation papers in our 4.5M-paper local library, which holds 548 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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