ArticleFrontiers in plant science2023
Multi-model genome-wide association studies for appearance quality in rice.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 13 citations in OpenAlex.
- Genetic architecture and candidate loci associated with growth and yield-related traits in sweet fig banana (Musa acuminata cv Sotoumon, AA).BMC genomics · 2026Article
- Multi-locus genome-wide association mapping reveals loci underlying malt quality traits in heterogeneous Ethiopian Barley (Hordeum vulgare L.) germplasm.Scientific reports · 2026Article
- Rice Quality: A Multidimensional Evaluation Integrating Ecology, Management and Genetic Regulation.Foods (Basel, Switzerland) · 2026Review
- Multi-model genome-wide association studies identify stable QTLs and candidate genes for lodging resistance inFrontiers in plant science · 2026Article
- Geographic Divergence and Putative Candidate Gene Discovery of Rice Grain Quality in China.Rice (New York, N.Y.) · 2025Article
- Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.Scientific reports · 2025Article
- Unraveling the genetic basis of heat tolerance and yield in bread wheat: QTN discovery and Its KASP-assisted validation.BMC plant biology · 2025Article
- Identification of quantitative trait nucleotides for grain quality in bread wheat under heat stress.Scientific reports · 2025Article
- Uncovering genetic determinants of antioxidant properties in Thai landrace rice through genome-wide association analysis.Scientific reports · 2025Article
- Characterization of a Major Quantitative Trait Locus for the Whiteness of Rice Grain Using Chromosome Segment Substitution Lines.Plants (Basel, Switzerland) · 2024Article
- Genome-wide association mapping of quantitative trait loci for chalkiness-related traits in rice (Frontiers in genetics · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving the quality of the appearance of rice is critical to meet market acceptance. Mining putative quality-related genes has been geared towards the development of effective breeding approaches for rice. In the present study, two SL-GWAS (CMLM and MLM) and three ML-GWAS (FASTmrEMMA, mrMLM, and FASTmrMLM) genome-wide association studies were conducted in a subset of 3K-RGP consisting of 198 rice accessions with 553,831 SNP markers. A total of 594 SNP markers were identified using the mixed linear model method for grain quality traits. Additionally, 70 quantitative trait nucleotides (QTNs) detected by the ML-GWAS models were strongly associated with grain aroma (AR), head rice recovery (HRR, %), and percentage of grains with chalkiness (PGC, %). Finally, 39 QTNs were identified using single- and multi-locus GWAS methods. Among the 39 reliable QTNs, 20 novel QTNs were identified for the above-mentioned three quality-related traits. Based on annotation and previous studies, four functional candidate genes (
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