ArticleGenome biology2021
Genomic insight into balancing high yield, good quality, and blast resistance of japonica rice.
Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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47 citing papers in PubMed, 89 citations in OpenAlex.
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- Genetic Determinants and Breeding Strategies for Rice Cooking and Eating Quality: A Comprehensive Review.Plant biotechnology journal · 2026Review
- An extra-large panicle gene ELP1 from wild rice Oryza officinalis increases grain number and grain yield.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Research Progress on Rice-Blast-Resistance-Related Genes.Plants (Basel, Switzerland) · 2025Review
- Genetic analysis of trade-offs among disease resistance, yield, and quality traits employing genome-wide association mapping in indica rice (Molecular breeding : new strategies in plant improvement · 2025Article
- The Molecular Breeding of Different EcotypePlants (Basel, Switzerland) · 2025Article
- Natural variation in CTF1 conferring cold tolerance at the flowering stage in rice.Plant biotechnology journal · 2025Article
- Comprehensive Analysis ofGenes · 2025Article
- Genetic improvement of eating and cooking quality of rice cultivars in southern China.Plant biotechnology journal · 2025Article
- Comparative analysis of the NLR gene family in the genomes of garden asparagus (Frontiers in plant science · 2025Article
- Molecular breeding approaches for sustainable rice blast management: recent advances and challenges.Frontiers in plant science · 2025Review
- Developing super rice varieties resistant to rice blast with enhanced yield and improved quality.Plant biotechnology journal · 2025Article
- LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification.Frontiers in plant science · 2025Article
- OsGRF6-OsYUCCA1/OsWRKY82 Signaling Cascade Upgrade Grain Yield and Bacterial Blight Resistance in Rice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Challenges and opportunities of developing bioinformatics platforms in Africa: the case of BurkinaBioinfo at Joseph Ki-Zerbo University, Burkina Faso.Briefings in bioinformatics · 2024Article
- Improvement of Quality and Disease Resistance for a Heavy-Panicle Hybrid Restorer Line, R600, in Rice (Current issues in molecular biology · 2024Article
- The complex relationship between disease resistance and yield in crops.Plant biotechnology journal · 2024Review
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Authors and funding
18 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBalancing the yield, quality and resistance to disease is a daunting challenge in crop breeding due to the negative relationship among these traits. Large-scale genomic landscape analysis of germplasm resources is considered to be an efficient approach to dissect the genetic basis of the complex traits. Central China is one of the main regions where the japonica rice is produced. However, dozens of high-yield rice varieties in this region still exist with low quality or susceptibility to blast disease, severely limiting their application in rice production.
resultsHere, we re-sequence 200 japonica rice varieties grown in central China over the past 30 years and analyze the genetic structure of these cultivars using 2.4 million polymorphic SNP markers. Genome-wide association mapping and selection scans indicate that strong selection for high-yield and taste quality associated with low-amylose content may have led to the loss of resistance to the rice blast fungus Magnaporthe oryzae. By extensive bioinformatic analyses of yield components, resistance to rice blast, and taste quality, we identify several superior alleles for these traits in the population. Based on this information, we successfully introduce excellent taste quality and blast-resistant alleles into the background of two high-yield cultivars and develop two elite lines, XY99 and JXY1, with excellent taste, high yield, and broad-spectrum of blast resistance.
conclusionsThis is the first large-scale genomic landscape analysis of japonica rice varieties grown in central China and we demonstrate a balancing of multiple agronomic traits by genomic-based strategy.
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