ArticleBMC genomic data2021
Genome-wide association studies of yield-related traits in high-latitude japonica rice.
Article in BMC genomic data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Unravelling the genetics of heat-responsive fruit traits in pepper [Capsicum annuum L.] via GWAS under subtropical climates.BMC plant biology · 2026Article
- Non-destructive identification of closely related japonica rice seeds using hyperspectral imaging combined with HHO-optimized XGBoost.Frontiers in plant science · 2026Article
- Evaluation and genome-wide association study of saline-alkali tolerance in high-latitude rice resource populations.Frontiers in genetics · 2025Article
- New Insights into the Genetic Basis of Lysine Accumulation in Rice Revealed by Multi-Model GWAS.International journal of molecular sciences · 2024Article
- Genetic potential of grain-related traits in rice landraces: phenomics and multi-locus association analyses.Molecular biology reports · 2023Article
- Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Frontiers in genetics · 2023Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeilongjiang Province is a high-quality japonica rice cultivation area in China. One in ten bowls of Chinese rice is produced here. Increasing yield is one of the main aims of rice production in this area. However, yield is a complex quantitative trait composed of many factors. The purpose of this study was to determine how many genetic loci are associated with yield-related traits. Genome-wide association studies (GWAS) were performed on 450 accessions collected from northeast Asia, including Russia, Korea, Japan and Heilongjiang Province of China. These accessions consist of elite varieties and landraces introduced into Heilongjiang Province decade ago.
resultsAfter resequencing of the 450 accessions, 189,019 single nucleotide polymorphisms (SNPs) were used for association studies by two different models, a general linear model (GLM) and a mixed linear model (MLM), examining four traits: days to heading (DH), plant height (PH), panicle weight (PW) and tiller number (TI). Over 25 SNPs were found to be associated with each trait. Among them, 22 SNPs were selected to identify candidate genes, and 2, 8, 1 and 11 SNPs were found to be located in 3' UTR region, intron region, coding region and intergenic region, respectively.
conclusionsAll SNPs detected in this research may become candidates for further fine mapping and may be used in the molecular breeding of high-latitude rice.
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