ArticleNature genetics2021
A quantitative genomics map of rice provides genetic insights and guides breeding.
Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 2 of them syntheses that pooled it.
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Who cites it
122 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Scientific evolution and translational horizons of plant core germplasm: a global bibliometric synthesis and strategic insights.Frontiers in plant science · 2026Pooled it
- Advancing crop improvement through GWAS and beyond in mung bean.Frontiers in plant science · 2024Pooled it
- The genomic landscape of recombination in rice revealed by a large nested association mapping population.The New phytologist · 2026Article
- Black soybean at the crossroads of soybean evolution.Science China. Life sciences · 2026Article
- ELMERF: A deep-learning-assisted hydroponic RGB phenotyping framework for rice seedling salt-stress evaluation and genetic mapping.Plant phenomics (Washington, D.C.) · 2026Article
- Empowering Plant Biotechnology Research: Super-Pangenomes as a Novel Arsenal for Crop Breeding and Improvement.Molecular biotechnology · 2026Review
- Genotypic Characterization and Evaluation ofCurrent issues in molecular biology · 2026Article
- A k-mer-based genome-wide association study approach empowering gene mining in polyploids.Nature genetics · 2026Article
- Mapping structural variants in Populus tomentosa reveals adaptive signatures and improves prediction of wood properties.Nature communications · 2026Article
- Challenges in Bringing Pangenome Research Into Breeding: A Case Study in Rice.Plant biotechnology journal · 2026Review
- Rice Annotation Project Database (RAP-DB): Literature-Curated Gene Annotation and Integrated Omics Resources for Rice Functional Genomics and Molecular Breeding.Rice (New York, N.Y.) · 2026Article
- Integrative multi-omics analysis reveals the domestication mechanism of black rice.National science review · 2026Article
- Article
- To awn or not to awn: Revisiting the evolution of awnedness during rice domestication and improvement.Plant communications · 2026Review
- MeNet: A mixed-effect deep neural network for multi-environment genomic prediction of agronomic traits.Plant communications · 2026Article
- Genetic Determinants and Breeding Strategies for Rice Cooking and Eating Quality: A Comprehensive Review.Plant biotechnology journal · 2026Review
- Genome-Wide Association Analyses Reveal the Genetic Basis of EMS Mutagenesis Efficiency in Rice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Genome-Assisted Breeding of an Elite Sterile Line From Restorer Line for Hybrid Rice.Plant biotechnology journal · 2026Article
- A Novel Non-functional RFT1 Allele Delays Heading Date in Rice.Rice (New York, N.Y.) · 2025Article
- Evolutionary histories of functional mutations during the domestication and spread ofProceedings of the National Academy of Sciences of the United States of America · 2025Article
62 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extensive allelic variation in agronomically important genes serves as the basis of rice breeding. Here, we present a comprehensive map of rice quantitative trait nucleotides (QTNs) and inferred QTN effects based on eight genome-wide association study cohorts. Population genetic analyses revealed that domestication, local adaptation and heterosis are all associated with QTN allele frequency changes. A genome navigation system, RiceNavi, was developed for QTN pyramiding and breeding route optimization, and implemented in the improvement of a widely cultivated indica variety. This work presents an efficient platform that bridges ever-increasing genomic knowledge and diverse improvement needs in rice.
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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.