ArticleThe plant genome2019
Association Analysis of Three Diverse Rice (
Article in The plant genome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 37 citations in OpenAlex.
- Genetic Diversity Analysis and Core Collection Development of Indian Mungbean (Plants (Basel, Switzerland) · 2026Article
- Amylose content in rice: integrating genetics, grain filling physiology, and breeding strategies.Frontiers in plant science · 2026Review
- 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
- Divergent genetic architecture of cold stress tolerance inFrontiers in plant science · 2025Article
- Joint analysis of phenotype-effect-generation identifies loci associated with grain quality traits in rice hybrids.Nature communications · 2023Article
- Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits.Frontiers in plant science · 2023Article
- Navigating rice seedling cold resilience: QTL mapping in two inbred line populations and the search for genes.Frontiers in plant science · 2023Article
- Development of SNP Markers from GWAS for Selecting Seed Coat and Aleurone Layers in Brown Rice (Genes · 2022Article
- Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies.Rice (New York, N.Y.) · 2022Article
- High Resistant Starch Rice: Variation in Starch Related SNPs, and Functional, and Sensory Properties.Foods (Basel, Switzerland) · 2021Article
- Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies.Sensors (Basel, Switzerland) · 2021Article
- Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality.Scientific reports · 2021Article
- Relationships Among Arsenic-Related Traits, Including Rice Grain Arsenic Concentration and Straighthead Resistance, as Revealed by Genome-Wide Association.Frontiers in genetics · 2021Article
- Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice.Scientific reports · 2020Article
- Article
- A Coordinated Suite of Wild-Introgression Lines inFrontiers in plant science · 2020Article
- Identification of Superior Alleles for Seedling Stage Salt Tolerance in the USDA Rice Mini-Core Collection.Plants (Basel, Switzerland) · 2019Article
- Validation of Yield Component Traits Identified by Genome-Wide Association Mapping in aThe plant genome · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice ( L.) end-use cooking quality is vital for producers and billions of consumers worldwide. Grain quality is a complex trait with interacting genetic and environmental factors. Deciphering the complex genetic architecture associated with grain quality provides essential information for improved breeding strategies to enhance desirable traits that are stable across variable climatic and environmental conditions. In this study, genome-wide association (GWA) analysis of three rice diversity panels, the USDA rice core subset (1364 accessions), the minicore (MC) (173 accessions after removing non-), and the high density rice array-MC (HDMC) (383 accessions), with simple sequence repeats, single nucleotide polymorphic markers, or both, revealed large- and small-effect loci associated with known genes and previously uncharacterized genomic regions. Clustering of the significant regions in the GWA results suggests that multiple grain quality traits are inherited together. The 11 novel candidate loci for grain quality traits and the seven candidates for grain chalk identified are involved in the starch biosynthesis pathway. This study highlights the intricate pleiotropic relationships that exist in complex genotype-phenotypic associations and gives a greater insight into effective breeding strategies for grain quality improvement.
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.