ArticlePlants (Basel, Switzerland)2023
Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits.
Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 10 citations in OpenAlex.
- GWAS-based identification of GmKASII and its interaction with GmFATA1B reveals their role in soybean oil composition and accumulation.The Plant journal : for cell and molecular biology · 2026Article
- Omics-driven plant breeding through phenomics-enviromics crosstalk.Nature communications · 2026Review
- Advancing Soybean Improvement: Multi-Omics Strategies, Cutting-Edge Techniques, and Bioinformatics Innovations.Plants (Basel, Switzerland) · 2026Article
- Integrating AI in seed science: Toward an intelligent design paradigm.Plant communications · 2026Review
- Identification of Genomic Regions for Partial Resistance to Soybean Rust Under Field Conditions Using FarmCPU and Machine Learning Approaches.Plants (Basel, Switzerland) · 2026Article
- Machine learning-driven discovery of host genetic factors for paratuberculosis in goats within the one health framework.BMC veterinary research · 2026Article
- Genome-wide association mapping and haplotype analysis reveal genetic architecture of seed fatty acid compositions in 1,550 diverse soybean accessions.BMC plant biology · 2025Article
- Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops.Plants (Basel, Switzerland) · 2025Review
- Assessment of potential candidate genes for partial resistance to Sclerotinia stem rot caused by Sclerotinia sclerotiorum using real-time quantitative PCR.The plant genome · 2025Article
- Machine learning-enhanced multi-trait genomic prediction for optimizing cannabinoid profiles in cannabis.The Plant journal : for cell and molecular biology · 2025Article
- Genetic diversity and genome-wide association study of partial resistance to Sclerotinia stem rot in a Canadian soybean germplasm panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Sulfate transport and metabolism: strategies to improve the seed protein quality.Molecular biology reports · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean (
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.