ArticleBMC genomics2019
Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 34 citations in OpenAlex.
- 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
- Decades' progress and prospects on maize functional genomics and molecular breeding.Science China. Life sciences · 2025Review
- FRIGIDA-like gene family in rapeseed: genome-wide analysis and expression analysis to exogenous phytohormones.BMC plant biology · 2025Article
- Exploring the multifaceted dynamics of flowering time regulation in field crops: Insight and intervention approaches.The plant genome · 2025Review
- Comprehensive genome-wide analysis of the GmFRIGIDA gene family in soybean: identification, characterization, and expression dynamics.Frontiers in plant science · 2025Article
- A genomic toolkit for winged bean Psophocarpus tetragonolobus.Nature communications · 2024Article
- Enhancing cold resistance in Banana (Musa spp.) through EMS-induced mutagenesis, L-Hyp pressure selection: phenotypic alterations, biomass composition, and transcriptomic insights.BMC plant biology · 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
- Analysis of Genetic Diversity in Adzuki Beans (Plants (Basel, Switzerland) · 2023Article
- Genome-wide association study reveals loci and candidate genes of flowering time in jute (Molecular breeding : new strategies in plant improvement · 2023Article
- Genome-Wide Association Studies of Seven Root Traits in Soybean (International journal of molecular sciences · 2023Article
- Response of a Diverse European Soybean Collection to "Short Duration" and "Long Duration" Drought Stress.Frontiers in plant science · 2022Article
- Genome-wide association study and its applications in the non-model crop Sesamum indicum.BMC plant biology · 2021Review
- Quantitative Control of Early Flowering in White Lupin (International journal of molecular sciences · 2021Article
- Genome-Wide Association Study to Map Genomic Regions Related to the Initiation Time of Four Growth Stage Traits in Soybean.Frontiers in genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAs a photoperiod-sensitive and self-pollinated species, the growth periods traits play important roles in the adaptability and yield of soybean. To examine the genetic architecture of soybean growth periods, we performed a genome-wide association study (GWAS) using a panel of 278 soybean accessions and 34,710 single nucleotide polymorphisms (SNPs) with minor allele frequencies (MAF) higher than 0.04 detected by the specific-locus amplified fragment sequencing (SLAF-seq) with a 6.14-fold average sequencing depth. GWAS was conducted by a compressed mixed linear model (CMLM) involving in both relative kinship and population structure.
resultsGWAS revealed that 37 significant SNP peaks associated with soybean flowering time or other growth periods related traits including full bloom, beginning pod, full pod, beginning seed, and full seed in two or more environments at -log
conclusionsThis study identified putative SNP markers associated with soybean growth period traits, which could be used for the marker-assisted selection of soybean growth period traits. Furthermore, the possible candidate genes involved in the control of soybean flowering time were predicted.
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.