ArticlePlanta2020
Genetic dissection of yield-related traits via genome-wide association analysis across multiple environments in wild soybean (Glycine soja Sieb. and Zucc.).
Article in Planta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- GmIQD63 functions as a novel GmCDPK38-interacting protein in soybean defense against the common cutworm.Planta · 2025Article
- Genetic dissection of ten photosynthesis-related traits based on InDel- and SNP-GWAS in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide association study revealed some new candidate genes associated with flowering and maturity time of soybean in Central and West Siberian regions of Russia.Frontiers in plant science · 2024Article
- Genome-wide association studies reveal novel QTLs for agronomic traits in soybean.Frontiers in plant science · 2024Article
- Insights into the plant response to nematode invasion and modulation of host defense by plant parasitic nematode.Frontiers in microbiology · 2024Review
- The Genotypic Variability among Short-Season Soybean Cultivars for Nitrogen Fixation under Drought Stress.Plants (Basel, Switzerland) · 2023Article
- Article
- Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean.Frontiers in plant science · 2023Review
- Genome-wide association analysis identified consistent QTL for seed yield in a soybean diversity panel tested across multiple environments.The plant genome · 2022Article
- Genome-wide association study identifies candidate genes and favorable haplotypes for seed yield inMolecular breeding : new strategies in plant improvement · 2022Article
- CALCIUM-DEPENDENT PROTEIN KINASE38 regulates flowering time and common cutworm resistance in soybean.Plant physiology · 2022Article
- Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components.International journal of molecular sciences · 2022Article
- Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Genome-wide association study, haplotype analysis, and genomic prediction reveal the genetic basis of yield-related traits in soybean (Frontiers in genetics · 2022Article
- GmFULa improves soybean yield by enhancing carbon assimilation without altering flowering time or maturity.Plant cell reports · 2021Article
- Comparative selective signature analysis and high-resolution GWAS reveal a new candidate gene controlling seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
MAIN
conclusionA total of 41 SNPs were identified as significantly associated with five yield-related traits in wild soybean populations across multiple environments, and the candidate gene GsCID1 was found to be associated with seed weight. These results may facilitate improvements in cultivated soybean. Crop-related wild species contain new sources of genetic diversity for crop improvement. Wild soybean (Glycine soja Sieb. and Zucc.) is the progenitor of cultivated soybean [Glycine max (L.) Merr.] and can be used as an essential genetic resource for yield improvements. In this research, using genome-wide association study (GWAS) in 96 out of 113 wild soybean accessions with 114,090 single nucleotide polymorphisms (SNPs) (with minor allele frequencies ≤ 0.05), SNPs associated with five yield-related traits were identified across multiple environments. In total, 41 SNPs were significantly associated with the traits in two or more environments (significance threshold P ≤ 8.76 × 10
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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.