ArticleFrontiers in plant science2022
Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Comparative proteomics analysis of wild and cultivated accessions reveals key candidate proteins associated with seed weight variations in peanut.BMC plant biology · 2026Article
- StablePlants (Basel, Switzerland) · 2026Article
- Mining genes, genomic selection and simulation breeding on hundred-seed weight using a four-way RIL population.Frontiers in plant science · 2026Article
- Integrative haplotype and SNP-based GWAS supports the identification of stable genomic loci controlling yield-related traits in soybean.Frontiers in plant science · 2026Article
- Phenotypic and genetic dissection of seed shape related traits in soybean (Frontiers in plant science · 2026Article
- Genetic loci underlying seed size and yield-related traits in cowpea.Frontiers in plant science · 2026Article
- Identification of candidate loci regulating seed-associated traits in soybean using genome-wide association study and image-based high-throughput phenotyping.Frontiers in plant science · 2026Article
- Identification of Novel Genetic Loci Related to 100-Seed Weight in the Korean Soybean Core Collection Using a Genome-Wide Association Study.International journal of molecular sciences · 2025Article
- Genome-wide exploration of soybean domestication traits: integrating association mapping and SNP × SNP interaction analyses.Plant molecular biology · 2025Article
- Long-read sequencing reveals novel structural variation markers for key agronomic and quality traits of food-grade soybean.Frontiers in plant science · 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
- Identification of candidate genes and development of KASP markers for soybean pod-related traits using GWAS.Frontiers in plant science · 2025Article
- Identification of quantitative trait loci for lodging and related agronomic traits in soybean (Glycine max [L.] Merr.).BMC genomics · 2024Article
- Genome-wide association analysis was used to discover genes related to soybean grain weight per plant and 100-grain weight.Breeding science · 2024Article
- Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean (International journal of molecular sciences · 2024Article
- Identification of the domestication gene GmCYP82C4 underlying the major quantitative trait locus for the seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-Wide Association Studies Prioritize Genes Controlling Seed Size and Reproductive Period Length in Soybean.Plants (Basel, Switzerland) · 2024Article
- Understanding the Molecular Regulatory Networks of Seed Size in Soybean.International journal of molecular sciences · 2024Review
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The seed weight of soybean [ Methods: To understand the molecular genetic basis for the formation of soybean yield traits, the present study focused on QTLs mapping for seed size and weight traits in different environments and target genes mining. Results: A total of 85 QTLs associated with seed size and weight traits were identified using a recombinant inbred line (RIL) population developed from Guizao1×B13 (GB13). We also detected 18 environmentally stable QTLs. Of these, Discussion: The results provide a biologically basic reference for understanding the formation of soybean seed size and weight traits.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.