ArticleFrontiers in plant science2018
Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
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Who cites it
24 citing papers in PubMed.
- Genomic-Wide Association Markers and Candidate Genes for the High-Protein Trait in Storage Roots of Cassava (Plants (Basel, Switzerland) · 2025Article
- Genetic Basis and Simulated Breeding Strategies for Enhancing Soybean Seed Protein Content Across Multiple Environments.Plants (Basel, Switzerland) · 2025Article
- Fine Mapping of QTLs/QTNs and Mining of Genes Associated with Race 7 of the SoybeanPlants (Basel, Switzerland) · 2025Article
- Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds.Scientific reports · 2025Article
- Insights into the genetic architecture of Phytophthora capsici root rot resistance in chile pepper (Capsicum spp.) from multi-locus genome-wide association study.BMC plant biology · 2024Article
- Multi-locus genome-wide association study for phosphorus use efficiency in a tropical maize germplasm.Frontiers in plant science · 2024Article
- Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed.The plant genome · 2023Review
- Genome-wide association study and high-quality gene mining related to soybean protein and fat.BMC genomics · 2023Article
- Identification of loci associated with water use efficiency and symbiotic nitrogen fixation in soybean.Frontiers in plant science · 2023Article
- Integrated multi-locus genome-wide association studies and transcriptome analysis for seed yield and yield-related traits inFrontiers in plant science · 2023Article
- Breeding effects on durum wheat traits detected using GWAS and haplotype block analysis.Frontiers in plant science · 2023Article
- Ensuring Global Food Security by Improving Protein Content in Major Grain Legumes Using Breeding and 'Omics' Tools.International journal of molecular sciences · 2022Review
- Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.Biomolecules · 2021Review
- Genome-wide association study for grain mineral content in a Brazilian common bean diversity panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Fine mapping QTL and mining genes for protein content in soybean by the combination of linkage and association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Mapping QTL/QTN and mining candidate genes for plant height and its response to planting densities in soybean [Molecular breeding : new strategies in plant improvement · 2021Article
- QTL for Main Stem Node Number and Its Response to Plant Densities in 144 Soybean FW-RILs.Frontiers in plant science · 2021Article
- Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study.BMC plant biology · 2020Article
- Appraising the Genetic Architecture of Kernel Traits in Hexaploid Wheat Using GWAS.International journal of molecular sciences · 2020Article
- One-step generation of composite soybean plants with transgenic roots by Agrobacterium rhizogenes-mediated transformation.BMC plant biology · 2020Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein content (PC), an important trait in soybean (
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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.